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Howard Marks

Howard Marks

Co-Chairman, Oaktree Capital

57 appearances · 338 quotes · 1 post · Latest record 3 Sep 2026

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FROM THE RECORD · 4 matching entries · 2023-10-04 to 2026-05-26

What does the record say about inflation?

Selected points from existing editorial summaries and source excerpts. This covers the material on this page.

1

Marks argues the future is a probability distribution of possibilities, not a single predictable outcome. [1]

Read the supporting quotation · The Investor’s Podcast · 2026-02-21

“It's a probability distribution. It's a range of possibilities in each thing, whether it's GDP growth next year or inflation next year, or who's going to win the next election,”

2

Marks admits his risk aversion was costly since 1980 when optimism consistently paid off. [2]

Read the supporting quotation · Pepperdine University · 2026-03-02

“And given the, if you think about it, from 1980 when the inflation was solved, essentially to date, generally speaking, the more optimistic you were, the more money you made.”

3

Marks says the Fed funds rate should exceed inflation to maintain a positive real rate. [3]

Read the supporting quotation · David Rubenstein · 2023-10-04

“If inflation's two, then the Fed funds rate should be higher than that so that there's a positive real Fed funds rate.”

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FROM THE RECORD · 11 matching entries · 2023-10-04 to 2026-06-12

What does the record say about interest rates?

Selected points from existing editorial summaries and source excerpts. This covers the material on this page.

1

Marks describes Fed funds rate declining from 20% in 1980 to zero forty years later as dominant financial factor. [1]

Read the supporting quotation · David Rubenstein · 2023-10-04

“Forty years later, the Fed funds rate was zero, and I had a loan outstanding from bank at two and a quarter.”

2

Marks says 700 direct lending managers emerged to manage $1.7 trillion in a favorable environment with declining interest rates. [2]

Read the supporting quotation · Prof G Markets · 2026-06-12

“I'm told that there are roughly 700 direct lending managers. So the the the And the availability of that $1,700,000,000,000 put a lot of people into business and made a lot of people extremely successful along with a very favorable economy and with low or generally low or generally declining interest rates, which are salutary.”

3

Marks describes personal borrowing rates falling from 22.25% in 1980 to 2.25% in 2020. [3]

Read the supporting quotation · Pepperdine University · 2026-03-02

“And forty years later in 2020, I was able to borrow at two and a quarter fixed for fifteen years.”

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FROM THE RECORD · 129 matching entries · 2015-03-30 to 2026-06-12

What does the record say about market psychology?

Selected points from existing editorial summaries and source excerpts. This covers the material on this page.

1

Marks cites Thinking Machine Labs raising 2 billion dollars at 12 billion valuation without disclosing its product as bubble indicator. [1]

Read the supporting quotation · Pepperdine University · 2026-03-02

“And I say in the memo, for example, that some woman left OpenAI, started a company called Thinking Machine Labs, went out to raise money, and she said this company is going to engage in AI, but I can't tell you what we're going to do. It's a secret. And people gave her $2,000,000,000 for a sixth of the company.”

2

Marks warns that at PE ratio of 23, historical S&P returns over next decade were always between 2% and -2%. [2]

Read the supporting quotation · My First Million · 2025-08-22

“And it showed that historically, you bought the S and P when the PE ratio was 23, in every case, there were no exceptions.”

3

Marks says holding nifty fifty stocks for five years from September 1969 resulted in 95% losses. [3]

Read the supporting quotation · Bloomberg Television · 2026-03-18

“So if you bought the stocks the day I got there, I think it was 09/22/1969, if I'm not mistaken, and if you held them tenaciously for five years, the greatest company is America, you lost about 95% of your money.”

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FROM THE RECORD · 120 matching entries · 2015-03-30 to 2026-06-12

What does the record say about risk?

Selected points from existing editorial summaries and source excerpts. This covers the material on this page.

1

Howard Marks, in The Investor’s Podcast on 2025-12-13: [1]

Read the supporting quotation · The Investor’s Podcast · 2025-12-13

“And when we started Oaktree in 1995, I wrote that down, and that became our motto and still is.”

2

Marks warns that at PE ratio of 23, historical S&P returns over next decade were always between 2% and -2%. [2]

Read the supporting quotation · My First Million · 2025-08-22

“And it showed that historically, you bought the S and P when the PE ratio was 23, in every case, there were no exceptions.”

3

Marks says holding nifty fifty stocks for five years from September 1969 resulted in 95% losses. [3]

Read the supporting quotation · Bloomberg Television · 2026-03-18

“So if you bought the stocks the day I got there, I think it was 09/22/1969, if I'm not mistaken, and if you held them tenaciously for five years, the greatest company is America, you lost about 95% of your money.”

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FROM THE RECORD · 56 matching entries · 2022-06-30 to 2026-06-12

What does the record say about ai?

Selected points from existing editorial summaries and source excerpts. This covers the material on this page.

1

Marks cites Block eliminating 40% of its workforce in one day as evidence most people underestimate AI's impact. [1]

Read the supporting quotation · Bloomberg Television · 2026-03-18

“40% of the workforce gone in one day because AI could do the work cheaper and faster. So how many people in the world understand the potential import of that?”

2

Marks cites Block laying off 4,000 employees in one day because AI can do their work better, cheaper, and faster. [2]

Read the supporting quotation · CNBC Television · 2026-03-05

“we saw Friday block 10,000 employees, let 40%, 4,000 people let go in one go, who who aren't needed anymore because AI can do it better and cheaper and faster.”

3

Marks cites Thinking Machine Labs raising two billion dollars at twelve billion valuation without disclosing its product as bubble behavior. [3]

Read the supporting quotation · Pepperdine University · 2026-03-02

“some woman left OpenAI, started a company called Thinking Machine Labs, went out to raise money, and she said this company is going to engage in AI, but I can't tell you what we're going to do. It's a secret. And people gave her $2,000,000,000 for a sixth of the company.”

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FROM THE RECORD · 52 matching entries · 2015-03-30 to 2026-06-12

What does the record say about credit cycle?

Selected points from existing editorial summaries and source excerpts. This covers the material on this page.

1

Marks reveals Bruce Karsh invested $450 million per week for fifteen weeks during the 2008 crisis. [1]

Read the supporting quotation · The Investor’s Podcast · 2025-12-13

“Bruce and I figured out that we should spend the money. He ran the fund in question and he bravely invested an average of $450,000,000 a week for the next fifteen weeks.”

2

Marks describes Fed funds rate declining from 20% in 1980 to zero forty years later as dominant financial factor. [2]

Read the supporting quotation · David Rubenstein · 2023-10-04

“Forty years later, the Fed funds rate was zero, and I had a loan outstanding from bank at two and a quarter.”

3

Marks deployed ten billion dollars in fifteen weeks during late 2008 crisis when nerve mattered most. [3]

Read the supporting quotation · Milken Institute · 2019-01-14

“So at Oaktree, we invested $650,000,000 a week in the last fifteen weeks of 'eight, that's about $10,000,000,000 and that's really all you had to do.”

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FROM THE RECORD · 38 matching entries · 2015-03-30 to 2026-06-12

What does the record say about private credit?

Selected points from existing editorial summaries and source excerpts. This covers the material on this page.

1

Marks identifies too much money chasing too few deals as the seven worst words in investing. [1]

Read the supporting quotation · Milken Institute · 2019-01-14

“Now remember, the four worst words in the world were, it's different this time, the seven worst words in the world are too much money chasing too few deals.”

2

Marks admits he didn't foresee private credit growing from zero to $1.7 trillion in fifteen years. [2]

Read the supporting quotation · Barron's · 2026-06-12

“I didn't foresee the growth of private credit, which the part of private credit which loans money for mid sized buyouts we call direct lending.”

3

Marks notes only 3 percent of 700 direct lending managers existed before the financial crisis. [3]

Read the supporting quotation · Prof G Markets · 2026-06-12

“of the 700, roughly 3% were in business before the global financial crisis. So we don't know how many of them are have what it takes to deal with a harsh environment.”

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FROM THE RECORD · 32 matching entries · 2022-05-02 to 2026-06-12

What does the record say about valuation?

Selected points from existing editorial summaries and source excerpts. This covers the material on this page.

1

Marks cites Thinking Machine Labs raising 2 billion dollars at 12 billion valuation without disclosing its product as bubble indicator. [1]

Read the supporting quotation · Pepperdine University · 2026-03-02

“And I say in the memo, for example, that some woman left OpenAI, started a company called Thinking Machine Labs, went out to raise money, and she said this company is going to engage in AI, but I can't tell you what we're going to do. It's a secret. And people gave her $2,000,000,000 for a sixth of the company.”

2

Marks warns that at PE ratio of 23, historical S&P returns over next decade were always between 2% and -2%. [2]

Read the supporting quotation · My First Million · 2025-08-22

“And it showed that historically, you bought the S and P when the PE ratio was 23, in every case, there were no exceptions.”

3

Marks says holding nifty fifty stocks for five years from September 1969 resulted in 95% losses. [3]

Read the supporting quotation · Bloomberg Television · 2026-03-18

“So if you bought the stocks the day I got there, I think it was 09/22/1969, if I'm not mistaken, and if you held them tenaciously for five years, the greatest company is America, you lost about 95% of your money.”

Explore more of their words in the record below. Compare people in your dashboard →

THE PUBLIC RECORD

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In their own words

347 entries

Transcript excerpts may contain transcription errors. Open the recording for wording, speaker and context. Source links do not verify the claims made.

  1. Quoted in printchestnutstreet.substack.com

    “During the crisis, any optimistic scenario was dismissed as naive. Everything bad seemed possible, and therefore probable. The distinction between possibility and probability vanished. That’s the real psychological poison in markets.”

    Read original Source-linked excerpt #
    More context

    #71: Howard Marks: Lessons on Investing, Risk, and the Psychology of Markets · Luis Torras

  2. Quoted in printchestnutstreet.substack.com

    “Our team was able to buy at the market’s lows because they weren’t in New York, where everyone was sharing horror stories and depressing each other.”

    Read original Source-linked excerpt #
    More context

    #71: Howard Marks: Lessons on Investing, Risk, and the Psychology of Markets · Luis Torras

  3. Quoted in printchestnutstreet.substack.com

    “Other investors’ emotional swings can be a threat… or a competitive advantage. What determines which one it is, is your ability to keep a cool head.”

    Read original Source-linked excerpt #
    More context

    #71: Howard Marks: Lessons on Investing, Risk, and the Psychology of Markets · Luis Torras

  4. Quoted in printchestnutstreet.substack.com

    “If you want to succeed in the markets, you don’t need to predict the future. What you need is a solid understanding of where we stand today in the cycle. That alone gives you a considerable edge.”

    Read original Source-linked excerpt #
    More context

    #71: Howard Marks: Lessons on Investing, Risk, and the Psychology of Markets · Luis Torras

  5. Quoted in printchestnutstreet.substack.com

    “The pendulum of financial markets swings constantly between euphoria and depression, between celebrating good news and obsessing over bad news, and therefore between overvaluation and undervaluation.”

    Read original Source-linked excerpt #
    More context

    #71: Howard Marks: Lessons on Investing, Risk, and the Psychology of Markets · Luis Torras

  6. Quoted in printForbes

    “we did not have any of them become the next Uber or something massive,”

    Read original Source-linked excerpt #
    More context

    Howard Marks Of StartEngine On Pre-IPO AI Investing · Boaz Sobrado

  7. X postX

    @Brookfield has completed its purchase of @Oaktree, marking the beginning of an exciting new chapter. Our partnership over the past seven years has been defined by mutual respect and cooperation. Bruce Flatt and I discussed the opportunities ahead with Barron’s Andy Serwer:

    View post Original post linked #
  8. Transcript excerptBarron's

    “I'll say since 10/01/2022, which is a special date for a reason, it's when the Fed turned more dovish.”

    Open source at 9:09 Source-linked transcript excerpt #
    fed policymarket psychologyoptimism
  9. Transcript excerptBarron's

    “And part of that means with everything you do, some part of your body has to be saying, yes, but how do we prepare for less optimistic times?”

    Open source at 9:58 Source-linked transcript excerpt #
    market psychologyoptimismrisk management
  10. Transcript excerptBarron's

    “Well, the the credit markets have been on a tear for the most part of the last seventeen years.”

    Open source at 10:29 Source-linked transcript excerpt #
    credit cyclegfcmarket history
  11. Transcript excerptBarron's

    “If I don't cut the price of this loan, my competitor will make the loan, and I'll have to look on. So these this is what happens.”

    Open source at 12:06 Source-linked transcript excerpt #
    credit cyclemarket psychologyprivate credit
  12. Transcript excerptBarron's

    “I think the credit cycle has been very strong. It's gone on with the interruption of the pandemic, probably the longest time in history.”

    Open source at 12:17 Source-linked transcript excerpt #
    credit cyclehistorymarket conditions
  13. Transcript excerptBarron's

    “It's gone on with the interruption of the pandemic, probably the longest time in history. And so market conditions in credit are generous and borrowing is easy.”

    Open source at 12:21 Source-linked transcript excerpt #
    credit cyclemarket conditions
  14. Transcript excerptBarron's

    “I don't see any reason to cut rates. I don't think this economy needs stimulus. The economy is doing fine.”

    Open source at 13:07 Source-linked transcript excerpt #
    economyfed policyrates
  15. Transcript excerptBarron's

    “It I I think there's an expectation. And and, you know, investors tend to paint things with the broad brush and not make fine distinctions.”

    Open source at 18:35 Source-linked transcript excerpt #
    distressmarket psychologysoftware
  16. Transcript excerptBarron's

    “I think today, if you could if you could ascertain people's expectations, I personally think that the that the level of worry and the universality of worry with regard to software is probably excessive.”

    Open source at 18:45 Source-linked transcript excerpt #
    distressmarket psychologysoftware
  17. Transcript excerptBarron's

    “I didn't foresee the growth of private credit, which the part of private credit which loans money for mid sized buyouts we call direct lending.”

    Open source at 23:29 Source-linked transcript excerpt #
    direct lendingmarket evolutionprivate credit
  18. Transcript excerptBarron's

    “the part of private credit which loans money for mid sized buyouts we call direct lending. It went from essentially 0 fifteen years ago to 1,700,000,000,000 today. I I didn't know that was coming.”

    Open source at 23:33 Source-linked transcript excerpt #
    market evolutionprivate credit
  19. Transcript excerptBarron's

    “You apply the right financial structure, which also which often means leverage, you add value intrinsically to the operation, and you see it go to a premium valuation relative to what you pay.”

    Open source at 27:12 Source-linked transcript excerpt #
    investingreturnsvalue creation
  20. Transcript excerptBarron's

    “In this period we've been through of declining interest rates, financial engineering helped a lot, merely owning assets with leverage helped a lot, things regularly went to premium valuations.”

    Open source at 27:28 Source-linked transcript excerpt #
    credit cycleleveragereturns
  21. Transcript excerptProf G Markets

    “You have to accept the likelihood that what you're doing is closer to speculating. And I don't say that word pejoratively than analytical investing.”

    Open source at 0:00 Source-linked transcript excerpt #
    aiinvestment philosophyspeculation
  22. Transcript excerptProf G Markets

    “I've never heard anybody tell me exactly what AI will be able to do or when or for whom or how much profit it'll produce and for whom.”

    Open source at 2:54 Source-linked transcript excerpt #
    aiprofitabilityuncertainty
  23. Transcript excerptProf G Markets

    “I would describe, what we call the hyperscalers as mostly the greatest companies I've ever seen. And they're engaged in an armory, arms race.”

    Open source at 3:18 Source-linked transcript excerpt #
    competitionhyperscalerstech
  24. Transcript excerptProf G Markets

    “So the technological innovations I'm talking about, let's just for a starting point, let's say the railroads back in the 1860s And then radio in the nineteen twenties, the automobile, computers in the nineteen fifties and sixties, internet in 2000.”

    Open source at 5:56 Source-linked transcript excerpt #
    bubbleshistorytechnology
  25. Transcript excerptProf G Markets

    “In every case, too much capital flowed in. I think it's fair to say too much infrastructure was built and prices were paid that were too high.”

    Open source at 7:35 Source-linked transcript excerpt #
    bubbleshistorymarket psychology
  26. Transcript excerptProf G Markets

    “So I wrote in a memo recently this year, and I think it's true that if this technological innovation with its exuberance doesn't produce a money losing bubble, it'll be the first.”

    Open source at 8:07 Source-linked transcript excerpt #
    aibubblesprediction
  27. Transcript excerptProf G Markets

    “if this technological innovation with its exuberance doesn't produce a money losing bubble, it'll be the first. And now it could happen. You know, you can't rule these things out.”

    Open source at 8:14 Source-linked transcript excerpt #
    aibubblemarket psychology
  28. Transcript excerptProf G Markets

    “This is the hardest thing I think I've ever seen in the investment world because of this enormous degree of uncertainty.”

    Open source at 16:04 Source-linked transcript excerpt #
    aiinvestinguncertainty
  29. Transcript excerptProf G Markets

    “And, you know, those things showed the the market to be, I used the expression a year ago, lofty but not nutty.”

    Open source at 28:20 Source-linked transcript excerpt #
    market psychologyvaluation
  30. Transcript excerptProf G Markets

    “You know, the the the non Shiller PE ratio is about 23 or so today. The eighty year average is 16. So we're roughly 50% higher today. But in 2000, I think it was 32.”

    Open source at 28:30 Source-linked transcript excerpt #
    market psychologynumbersvaluation
  31. Transcript excerptProf G Markets

    “the non Shiller PE ratio is about 23 or so today. The eighty year average is 16. So we're roughly 50% higher today.”

    Open source at 28:31 Source-linked transcript excerpt #
    market metricspe ratiovaluation
  32. Transcript excerptProf G Markets

    “When I started in this business as a young man, 1969, in the research department at Citibank, the bank and most of the banks invested in what were called the nifty 50, which were considered to be the best and fastest growing companies in America,”

    Open source at 28:47 Source-linked transcript excerpt #
    historynifty fiftyvaluation
  33. Transcript excerptProf G Markets

    “When I started in this business as a young man, 1969, in the research department at Citibank, the bank and most of the banks invested in what were called the nifty 50, which were considered to be the best and fastest growing companies in America, Xerox, IBM, Kodak, Polaroid, Merck, Lilly, Texas Instruments, Hewlett Packard, Coca Cola, Avon, etcetera.”

    Open source at 28:47 Source-linked transcript excerpt #
    biographyhistorynifty fifty
  34. Transcript excerptProf G Markets

    “So so to look at at the at the max seven take out Tesla, they're selling at PE ratios in the thirties.”

    Open source at 29:14 Source-linked transcript excerpt #
    mag sevenpe ratiovaluation
  35. Transcript excerptProf G Markets

    “I'm told that there are roughly 700 direct lending managers. So the the the And the availability of that $1,700,000,000,000 put a lot of people into business and made a lot of people extremely successful along with a very favorable economy and with low or generally low or generally declining interest rates, which are salutary.”

    Open source at 49:00 Source-linked transcript excerpt #
    market structurenumbersprivate credit
  36. Transcript excerptProf G Markets

    “So the the the And the availability of that $1,700,000,000,000 put a lot of people into business and made a lot of people extremely successful along with a very favorable economy”

    Open source at 49:10 Source-linked transcript excerpt #
    direct lendingprivate creditstatistics
  37. Transcript excerptProf G Markets

    “I'm told that of the 700, roughly 3% were in business before the global financial crisis. So we don't know how many of them are have what it takes to deal with a harsh environment.”

    Open source at 49:47 Source-linked transcript excerpt #
    numbersprivate creditrisk
  38. Transcript excerptProf G Markets

    “of the 700, roughly 3% were in business before the global financial crisis. So we don't know how many of them are have what it takes to deal with a harsh environment.”

    Open source at 49:48 Source-linked transcript excerpt #
    experienceprivate creditrisk
  39. Transcript excerptProf G Markets

    “To make money in a salutary investment environment, you can do it on the basis of good judgment and hard work and skill, or you can do it on aggressiveness and getting lucky.”

    Open source at 50:09 Source-linked transcript excerpt #
    credit cyclemarket psychologyrisk
  40. Transcript excerptProf G Markets

    “Warren Buffett, the most successful investor of all times, attributes his success to 12 investments over the last sixty, seventy years. Now he didn't have that many abject failures,”

    Open source at 55:57 Source-linked transcript excerpt #
    batting averagebuffettinvesting philosophy
  41. Transcript excerptOaktree

    “So the point is that that whereas, the underlying thing progresses gradually, the price fluctuates wildly around that trend line, and the main reason is, the fluctuation of psychology.”

    Open source at 1:35 Source-linked transcript excerpt #
    cyclesmarket psychologytrend lines
  42. Transcript excerptOaktree

    “I wrote a memo in October of o eight, after the global financial after the bankruptcy of Lehman, with the title, the limits to negativism. And there is such a thing as being too negative.”

    Open source at 5:53 Source-linked transcript excerpt #
    contrarianglobal financial crisisnegativism
  43. Transcript excerptOaktree

    “I'm concerned that there could be nuclear war, and I'm concerned that there could be inflation at 20%. Mhmm. Well, can protect yourself against that.”

    Open source at 9:18 Source-linked transcript excerpt #
    black swansrisktail events
  44. Transcript excerptOaktree

    “So I wrote to Andrew. I said, is is is AI is clawed an ass kisser because I thought it was maybe unduly complimentary.”

    Open source at 16:19 Source-linked transcript excerpt #
    aiclaudehumor
  45. Transcript excerptOaktree

    “So it writes me back, and it says, do you want me to be hypercritical or hypocritical? It's making a joke.”

    Open source at 16:39 Source-linked transcript excerpt #
    aiclaudehumor
  46. Transcript excerptOaktree

    “So it writes me back, and it says, do you want me to be hypercritical or hypocritical?”

    Open source at 16:39 Source-linked transcript excerpt #
    aiclaudehumor
  47. Transcript excerptOaktree

    “I think innovation, I think if you look at the Claude and all the coding models and the way they've progressed and the way and the way Anthropix revenues have progressed, I think you have to say that this is faster than anything we've ever seen before.”

    Open source at 20:12 Source-linked transcript excerpt #
    aianthropicinnovation speed
  48. Transcript excerptOaktree

    “I think that the speed at which AI can innovate is faster than the speed at which society can adjust.”

    Open source at 20:38 Source-linked transcript excerpt #
    aidisruptionsociety
  49. Transcript excerptOaktree

    “Mhmm. So you might say it'll catch up, but I think you could I think at minimum, you're talking about a significant period of dislocation.”

    Open source at 20:45 Source-linked transcript excerpt #
    aidisplacementsociety
  50. Transcript excerptOaktree

    “AI, it's it's different. It's not just gonna do the job we used to do. It's gonna design new jobs. Mhmm. It's gonna assign new jobs.”

    Open source at 21:20 Source-linked transcript excerpt #
    aiautonomytechnology
  51. Transcript excerptOaktree

    “It's gonna take on work we didn't think it could do, and it and and it's gonna operate, at some point in time without instruction.”

    Open source at 21:34 Source-linked transcript excerpt #
    aiautonomytechnology
  52. Transcript excerptOaktree

    “And in the write up for the for the model, they said, basically, in English, AI, the model helped us design the model.”

    Open source at 21:49 Source-linked transcript excerpt #
    aiautonomychatgpt
  53. Transcript excerptOaktree

    “And, you know, there there are people who say, and I referenced in the memo, there are people who say, oh, I have great news.”

    Open source at 22:19 Source-linked transcript excerpt #
    aiautomationwork
  54. Transcript excerptOaktree

    “The scariest thing in the world, the riskiest thing in the world is the belief there's no risk.”

    Open source at 33:00 Source-linked transcript excerpt #
    complacencymarket psychologyrisk
  55. Transcript excerptNikhil Kamath

    “So rather than thinking of cycles as ups and downs, which I think most people do, think of them as excesses and corrections, excesses and corrections.”

    Open source at 17:31 Source-linked transcript excerpt #
    credit cyclecyclesmarket psychology
  56. Transcript excerptNikhil Kamath

    “So rather than thinking of cycles as ups and downs, which I think most people do, think of them as excesses and corrections, excesses and corrections. Fluctuations around the trend line.”

    Open source at 17:31 Source-linked transcript excerpt #
    cyclesframeworkmarket psychology
  57. Transcript excerptNikhil Kamath

    “And not only is that an interesting phenomenon to think about, but even more so, the fact that the return on the S and P, which averages 10, is almost never between eight and twelve.”

    Open source at 19:10 Source-linked transcript excerpt #
    cyclesmarket psychologyspecificity
  58. Transcript excerptNikhil Kamath

    “if you bought those stocks the day I got to work in September of 'sixty nine, if you held them tenaciously for five years, you lost about 95% of your money.”

    Open source at 48:09 Source-linked transcript excerpt #
    market psychologynifty fiftyvaluation
  59. Transcript excerptNikhil Kamath

    “So, it was a and so that was a real disaster for the people who invested in the Nifty Fifty, which was most of the money center banks.”

    Open source at 48:34 Source-linked transcript excerpt #
    historynifty fiftyvaluation
  60. Transcript excerptNikhil Kamath

    “in our experience, ninety nine percent of the bonds have paid interest in principle as promised. So I think I can say almost every time.”

    Open source at 53:54 Source-linked transcript excerpt #
    credit cycleprivate credittrack record
  61. Transcript excerptNikhil Kamath

    “in our experience, ninety nine percent of the bonds have paid interest in principle as promised.”

    Open source at 53:54 Source-linked transcript excerpt #
    bondscredittrack record
  62. Transcript excerptNikhil Kamath

    “And so, over the last forty years, on average, something like 3.6 or 3.7% of all high yield bonds have gone into default every year, and our default rate has been roughly a third.”

    Open source at 1:01:33 Source-linked transcript excerpt #
    creditperformancespecificity
  63. Transcript excerptNikhil Kamath

    “over the last forty years, on average, something like 3.6 or 3.7% of all high yield bonds have gone into default every year, and our default rate has been roughly a third.”

    Open source at 1:01:34 Source-linked transcript excerpt #
    credit cycleprivate creditrisk
  64. Transcript excerptNikhil Kamath

    “Can AI sit down with five business plans and figure out which one is Amazon? Can AI sit down with five CEOs and figure out which one is Steve Jobs.”

    Open source at 1:09:59 Source-linked transcript excerpt #
    aiinnovationpattern recognition
  65. Transcript excerptNikhil Kamath

    “And there was a guy named Wally Deemer, was an old time trader, who had some great quotes and he turned them into”

    Open source at 1:13:35 Source-linked transcript excerpt #
    contrarianmarket psychologyrisk
  66. Transcript excerptNikhil Kamath

    “readily available quantitative information about the present cannot hold the key to success, because everybody has it. Success in investing is doing better than others.”

    Open source at 1:22:00 Source-linked transcript excerpt #
    edgeinformationmarket psychology
  67. Transcript excerptNikhil Kamath

    “I would imagine, tend to make somebody say, I've always done it this way, it's worked in the past, I'm an enormous success, you know, I'm worth this much money, so why should I change my approach? But you have to keep changing.”

    Open source at 1:26:56 Source-linked transcript excerpt #
    adaptationegoinvesting
  68. Transcript excerptNikhil Kamath

    “How can I learn to be a credit analyst who better understands the default probability than anybody else? How can I become what I call a second level thinker?”

    Open source at 1:27:54 Source-linked transcript excerpt #
    second level thinkingskill developmentteaching
  69. Transcript excerptNikhil Kamath

    “Are some AI models smarter than others? Since they all have super IQs, computing power, and they all are trained on the same history, are some smarter than others?”

    Open source at 1:32:42 Source-linked transcript excerpt #
    aiinvestment logicuncertainty
  70. Transcript excerptWharton School

    “And, cognitive dissonance is something that you should all familiarize yourself with. And it is basically the human brain's ability to reject information which is at odds with its predisposition.”

    Open source at 7:24 Source-linked transcript excerpt #
    cognitive biasinvestor behaviormarket psychology
  71. Transcript excerptWharton School

    “cognitive dissonance is something that you should all familiarize yourself with. And it is basically the human brain's ability to reject information which is at odds with its predisposition.”

    Open source at 7:24 Source-linked transcript excerpt #
    cognitive dissonanceinvestor behaviormarket psychology
  72. Transcript excerptWharton School

    “And it is basically the human brain's ability to reject information which is at odds with its predisposition.”

    Open source at 7:28 Source-linked transcript excerpt #
    behavioral financecognitive biasmarket psychology
  73. Transcript excerptWharton School

    “By the way, I believe that there is a predisposition to be optimistic. Not pessimistic, optimistic. Why is that? Because you have to be optimistic to be an investor.”

    Open source at 8:24 Source-linked transcript excerpt #
    investor psychologymarket behavioroptimism
  74. Transcript excerptWharton School

    “Because you have to be optimistic to be an investor. What is investing? You take your money, you give it to somebody else in the hope you'll get back more later.”

    Open source at 8:32 Source-linked transcript excerpt #
    investing philosophymarket psychologyoptimism bias
  75. Transcript excerptWharton School

    “April 1, President Trump announced, second, announced some massive tariffs, more much more than had been expected, and put them on, and then a week later paused them, and then put some more on and took some off, and and the the market had a negative reaction.”

    Open source at 9:50 Source-linked transcript excerpt #
    market eventtariffstrump
  76. Transcript excerptWharton School

    “Jamie Dimon of JPMorgan says a lot of things best. He said, you know, when you see one cockroach, there are probably more. So, people started to say, well, maybe there's something wrong here.”

    Open source at 10:30 Source-linked transcript excerpt #
    dimonprivate creditrisk
  77. Transcript excerptWharton School

    “the bottom is the day before it starts going up. Right? And if that's true, then by definition, you never know when you're at the bottom because you can only tell the next day.”

    Open source at 17:00 Source-linked transcript excerpt #
    bottom pickinginvesting philosophymarket timing
  78. Transcript excerptWharton School

    “So, of the, I think, of the dumbest things you can do in the investment business is to say, I'm gonna wait for the bottom.”

    Open source at 17:24 Source-linked transcript excerpt #
    investing philosophyinvestor mistakesmarket timing
  79. Transcript excerptWharton School

    “And so, the only basis for buying is that things are cheap. You can tell when things are cheap.”

    Open source at 17:40 Source-linked transcript excerpt #
    market timingphilosophyvalue investing
  80. Transcript excerptWharton School

    “If the world melts down, it doesn't matter what we did today. But if it doesn't melt down and we didn't invest, then we didn't do our job.”

    Open source at 19:17 Source-linked transcript excerpt #
    2008 financial crisiscrisis investingdecision making
  81. Transcript excerptWharton School

    “we were buying the senior most debt of these companies at prices such that if these companies ended up being worth a third or a quarter or a fifth of what these great buyout firms had bought them for a year or two ago, we would be okay.”

    Open source at 21:31 Source-linked transcript excerpt #
    credit cycledistressed debtmargin of safety
  82. Transcript excerptWharton School

    “these great buyout firms bought a company for $4,000,000,000 and now we are we can buy the senior most debt at a yield of, I don't know, let's say 15 or 20%, such that if the company ends up being re worth $1,000,000,000 we won't lose any money.”

    Open source at 21:57 Source-linked transcript excerpt #
    credit cycledistressed debtmargin of safety
  83. Transcript excerptWharton School

    “Nobody will give you money to invest during a crisis. We had pre raised it. And you have to have the nerve to spend it.”

    Open source at 22:50 Source-linked transcript excerpt #
    capital deploymentcrisis investingrisk management
  84. Transcript excerptWharton School

    “it's not what you buy, it's what you pay that counts. Good investing doesn't come from buying good things, it comes from buying things well.”

    Open source at 30:02 Source-linked transcript excerpt #
    price disciplineriskvalue investing
  85. Transcript excerptWharton School

    “And, you know, Buffet says made all his money on 12 ideas. Guy invested for seventy years. He says he made all his money on 12 ideas.”

    Open source at 36:38 Source-linked transcript excerpt #
    compoundersconcentrationselling discipline
  86. Transcript excerptCNBC Television

    “There's nothing wrong with lending money to companies. The question is, do you do it wisely?”

    Open source at 22:14 Source-linked transcript excerpt #
    credit cycleprivate creditrisk
  87. Transcript excerptCNBC Television

    “Am I supposed to value these things at what they're worth? What I could sell them for? What I could sell half for?”

    Open source at 24:25 Source-linked transcript excerpt #
    market psychologyprivate creditvaluation
  88. Transcript excerptCNBC Television

    “I think it should be valued at what an intelligent, unemotional buyer would pay for it today.”

    Open source at 25:21 Source-linked transcript excerpt #
    private creditriskvaluation
  89. Transcript excerptCNBC Television

    “The pessimist the optimists had basically been winning for the last, I think now it's, forty three months.”

    Open source at 25:57 Source-linked transcript excerpt #
    credit cyclemarket psychology
  90. Transcript excerptCNBC Television

    “I happen to believe that the Mag seven, most of or all of them are the best companies I've ever seen.”

    Open source at 27:06 Source-linked transcript excerpt #
    mag sevenmarket psychologyvaluation
  91. Transcript excerptCNBC Television

    “And, you know, they're mostly selling at PE ratios in the thirties, highest earnings ratios. That doesn't seem high to me.”

    Open source at 27:14 Source-linked transcript excerpt #
    mag sevenmarket psychologyvaluation
  92. Transcript excerptCNBC Television

    “When I was a kid and came into this business in '69, the Nifty Fifty were selling at PE ratios between sixty and ninety. So today's Mag seven in the thirties seem reasonable.”

    Open source at 27:23 Source-linked transcript excerpt #
    historical comparisonmarket psychologyvaluation
  93. Transcript excerptCNBC Television

    “And and the government, in theory, can make up the paycheck, but they can't make up the sense of purpose and the reason to get out of bed and the structure for your day.”

    Open source at 29:11 Source-linked transcript excerpt #
    aimarket psychologyrisk
  94. Transcript excerptCNBC Television

    “I went to visit one of my clients, a CEO, and he talked about the fact that his workers trade their four zero one k's on the sitting on the shop floor at lunch.”

    Open source at 31:53 Source-linked transcript excerpt #
    401kretail investorsspeculation
  95. Transcript excerptCNBC Television

    “Emotion, what we call human nature, tends to get us excited when things go well. And as things go well, prices prices rise rise rise and people wanna buy more and more and more.”

    Open source at 33:07 Source-linked transcript excerpt #
    emotionhuman naturemarket psychology
  96. Transcript excerptCNBC Television

    “The the biggest I thought I've spent a lot of time thinking about the biggest mistake that investors make. It is the belief that something can go up more than something else forever.”

    Open source at 34:47 Source-linked transcript excerpt #
    investment philosophymarket psychologyrisk
  97. Transcript excerptOaktree

    “And so so called nonbank lenders stepped in to make the loans that the banks weren't making.”

    Open source at 4:54 Source-linked transcript excerpt #
    banksmarket historyprivate credit
  98. Transcript excerptOaktree

    “I would say that as of a year or so, maybe two years ago, direct lending was, as you say, you use the term alpha, it was no longer special.”

    Open source at 6:38 Source-linked transcript excerpt #
    alphaprivate creditreturns
  99. Transcript excerptOaktree

    “Direct lending was fine. It was fair. You got a 100 or a 125 basis points of incremental interest over public credit.”

    Open source at 7:09 Source-linked transcript excerpt #
    pricingprivate creditspreads
  100. Transcript excerptOaktree

    “And I would say, let's talk about credit. Why do you skip all the way from zero to private credit, glossing over public credit,”

    Open source at 10:01 Source-linked transcript excerpt #
    market psychologyprivate creditpublic credit
  101. Transcript excerptOaktree

    “Bob said, essentially, what we do is take advantage of the mistakes of others. And that caused me to write a memo shortly after entitled, it's all a big mistake.”

    Open source at 12:22 Source-linked transcript excerpt #
    investment philosophymistakesopportunities
  102. Transcript excerptOaktree

    “We want to get returns that are more than commensurate with risk. And to do that, you have to buy assets not at fair prices, but are unfair prices.”

    Open source at 13:08 Source-linked transcript excerpt #
    excess returnspricingriskvalue investing
  103. Transcript excerptOaktree

    “There's only one catch. It requires cooperation for someone who's willing to sell something for less than it's worth. And who volunteers for that job?”

    Open source at 13:27 Source-linked transcript excerpt #
    bargain huntingmarket inefficiencysellers
  104. Transcript excerptOaktree

    “It requires cooperation for someone who's willing to sell something for less than it's worth. And who volunteers for that job? We want to buy from sellers who are making mistakes.”

    Open source at 13:28 Source-linked transcript excerpt #
    bargainsinvestment philosophymarket inefficiency
  105. Transcript excerptOaktree

    “And if you bought the stocks the day I got to work in '69 and you held them for five years, the greatest companies in America, you lost about 95% of your money.”

    Open source at 18:00 Source-linked transcript excerpt #
    market psychologynifty fiftyvaluation
  106. Transcript excerptOaktree

    “But the lesson I learned from my experience with the nifty 50 in '69 was that it's not what you buy, it's what you pay that matters.”

    Open source at 18:31 Source-linked transcript excerpt #
    market psychologypricevaluation
  107. Transcript excerptOaktree

    “And from March of o nine until, let's say, January '26, there generally were not profound low points. And when good times roll on that long, people forget about the possibility of bad times.”

    Open source at 21:04 Source-linked transcript excerpt #
    credit cycleleveragerisk
  108. Transcript excerptOaktree

    “Because picking the best managers requires an intuition and a subjective feel that I would be surprised to learn that AI can be very good at.”

    Open source at 23:47 Source-linked transcript excerpt #
    aihuman judgmentmanagement
  109. Transcript excerptOaktree

    “We actually haven't had many defaults yet, so we haven't had a chance yet to see who made bad loans. That's coming too. But I think that we were reserved in 2025.”

    Open source at 28:38 Source-linked transcript excerpt #
    credit cycledefaultsprivate credit
  110. Transcript excerptBloomberg Television

    “I think it's 99% of the high yield bonds we bought paid off. So, you know, there's nothing wrong with it fundamentally, intrinsically.”

    Open source at 0:58 Source-linked transcript excerpt #
    credit cyclehigh yieldmarket psychology
  111. Transcript excerptBloomberg Television

    “the changes that are underway today, and in particular the introduction of AI, render the world much less predictable than at any time, probably any time ever, and certainly any time in my lifetime.”

    Open source at 1:57 Source-linked transcript excerpt #
    airiskunpredictability
  112. Transcript excerptBloomberg Television

    “in 2011, when the banks chastened and regulated because of the global financial crisis, pulled back from lending for buyouts, so called non bank lenders stepped in and started to engage in direct lending, lending for mid sized buyouts.”

    Open source at 6:42 Source-linked transcript excerpt #
    credit cyclemarket historyprivate credit
  113. Transcript excerptBloomberg Television

    “And of course, since the demand for capital from the private equity industry was strong, and the supply of capital from the non bank lenders was limited, the non bank lenders could demand high interest rates and good safety.”

    Open source at 7:01 Source-linked transcript excerpt #
    credit cyclefinancial crisisprivate credit
  114. Transcript excerptBloomberg Television

    “I would say that public credit was yielding about seven, and direct lending was yielding about eight and a quarter. It struck me that 125 basis points for a liquidity premium was about fair.”

    Open source at 7:51 Source-linked transcript excerpt #
    pricingprivate credityield spreads
  115. Transcript excerptBloomberg Television

    “It struck me that 125 basis points for a liquidity premium was about fair. It was probably adequate, but certainly not lush, and so, in my opinion, the specialness had gone away.”

    Open source at 8:00 Source-linked transcript excerpt #
    market pricingprivate credityields
  116. Transcript excerptBloomberg Television

    “one of the long standing sayings in the banking business is that the worst of loans are made in the best of times, and it's for this reason.”

    Open source at 13:16 Source-linked transcript excerpt #
    credit cyclemarket psychologyrisk
  117. Transcript excerptBloomberg Television

    “the stock market bottomed March 6, I think it was, of 2009, seventeen years ago, this month, and there hasn't really been a tough time in the financial market since then.”

    Open source at 13:32 Source-linked transcript excerpt #
    credit cyclemarket cyclemarket psychology
  118. Transcript excerptBloomberg Television

    “since roughly 09/30/2022, I would venture that the S and P has doubled. I mean, company values haven't doubled, intrinsic values, but prices have doubled, so it's been a great time,”

    Open source at 13:55 Source-linked transcript excerpt #
    market psychologyvaluation
  119. Transcript excerptBloomberg Television

    “I mean, company values haven't doubled, intrinsic values, but prices have doubled, so it's been a great time, and great times encourage the desire to put money to work and discourage analysis,”

    Open source at 14:05 Source-linked transcript excerpt #
    market psychologyriskvaluation
  120. Transcript excerptBloomberg Television

    “we've had seventeen years of low defaults, and the actions of the Fed made the global financial crisis, which was probably the most destructive environment I've ever lived through, have only one year of elevated defaults on high yield bonds rather than the normal two.”

    Open source at 14:37 Source-linked transcript excerpt #
    credit cycledefaultsfederal reserve
  121. Transcript excerptBloomberg Television

    “the global financial crisis, which was probably the most destructive environment I've ever lived through, have only one year of elevated defaults on high yield bonds rather than the normal two.”

    Open source at 14:46 Source-linked transcript excerpt #
    credit cycledefaultsfinancial crisis
  122. Transcript excerptBloomberg Television

    “if the yield spreads are at the low end of normal range, you would have to say that the fear of elevated defaults is not present and compensation for an elevated default rate is not available.”

    Open source at 16:23 Source-linked transcript excerpt #
    credit cyclemarket psychologyrisk
  123. Transcript excerptBloomberg Television

    “I think you would have to say, optimism, not pessimism, credulousness, not skepticism, are in the ascendancy today, and when optimism and credulousness are in the ascendancy, it gets hard to make return investments that will produce what we call excess returns,”

    Open source at 17:21 Source-linked transcript excerpt #
    market psychologyreturnsrisk
  124. Transcript excerptBloomberg Television

    “Well, know, when I started Citibank in September sixty nine, the bank and most of the money center banks, it's an old fashioned expression, invested in what we call the nifty 50.”

    Open source at 24:51 Source-linked transcript excerpt #
    market psychologyriskvaluation
  125. Transcript excerptBloomberg Television

    “These were the 50 best and fastest growing companies in America, where nothing could go wrong and there was no price too high.”

    Open source at 25:03 Source-linked transcript excerpt #
    market psychologyriskvaluation
  126. Transcript excerptBloomberg Television

    “So if you bought the stocks the day I got there, I think it was 09/22/1969, if I'm not mistaken, and if you held them tenaciously for five years, the greatest company is America, you lost about 95% of your money.”

    Open source at 25:10 Source-linked transcript excerpt #
    market psychologyriskvaluation
  127. Transcript excerptBloomberg Television

    “40% of the workforce gone in one day because AI could do the work cheaper and faster. So how many people in the world understand the potential import of that?”

    Open source at 29:31 Source-linked transcript excerpt #
    aiemploymenttechnology impact
  128. Transcript excerptCNBC Television

    “OpenAI brought out a new model. And in the descriptive materials, they said that the that the model helped build the model, which is really eye opening.”

    Open source at 1:48 Source-linked transcript excerpt #
    aitechnology
  129. Transcript excerptCNBC Television

    “Clearly, it can eliminate a a huge percentage of of knowledge work. And you we saw Friday block 10,000 employees, let 40%, 4,000 people let go”

    Open source at 2:42 Source-linked transcript excerpt #
    aiemploymentprivate credit
  130. Transcript excerptCNBC Television

    “And you we saw Friday block 10,000 employees, let 40%, 4,000 people let go in one go, who who aren't needed anymore because AI can do it better and cheaper and faster.”

    Open source at 2:48 Source-linked transcript excerpt #
    aiemploymentknowledge work
  131. Transcript excerptCNBC Television

    “we saw Friday block 10,000 employees, let 40%, 4,000 people let go in one go, who who aren't needed anymore because AI can do it better and cheaper and faster.”

    Open source at 2:49 Source-linked transcript excerpt #
    aiblockemployment
  132. Transcript excerptCNBC Television

    “So one of my concerns is that AI moves faster than the ability of society to adjust to it. And that and that is a formula for disruption.”

    Open source at 3:14 Source-linked transcript excerpt #
    aidisruptionsociety
  133. Transcript excerptCNBC Television

    “one of my concerns is that AI moves faster than the ability of society to adjust to it. And that and that is a formula for disruption.”

    Open source at 3:15 Source-linked transcript excerpt #
    aimarket psychologyrisk
  134. Transcript excerptCNBC Television

    “I think it was Walter Cronkite who said if you're not confused, you don't know what's going on. I would say if you think you know what's gonna happen,”

    Open source at 3:46 Source-linked transcript excerpt #
    aimarket psychologyrisk
  135. Transcript excerptCNBC Television

    “I would say if you think you know what's gonna happen, you don't know understand what's going on.”

    Open source at 3:50 Source-linked transcript excerpt #
    aipredictionuncertainty
  136. Transcript excerptCNBC Television

    “I would say if you think you know what's gonna happen, you don't know understand what's going on. We're at the we're in the first inning of a very long unpredictable game.”

    Open source at 3:50 Source-linked transcript excerpt #
    aipredictionuncertainty
  137. Transcript excerptCNBC Television

    “if you think you know what's gonna happen, you don't know understand what's going on. We're at the we're in the first inning”

    Open source at 3:50 Source-linked transcript excerpt #
    aipredictionuncertainty
  138. Transcript excerptCNBC Television

    “We're at the we're in the first inning of a very long unpredictable game. We don't know what the rules are or or have any idea how many innings there are in the game.”

    Open source at 3:55 Source-linked transcript excerpt #
    ailong-termuncertainty
  139. Transcript excerptCNBC Television

    “We're at the we're in the first inning of a very long unpredictable game. We don't know what the rules are or or have any idea how many innings there are”

    Open source at 3:55 Source-linked transcript excerpt #
    aimarket psychologyrisk
  140. Transcript excerptPepperdine University

    “And so that was very informative and it's very desirable to learn your lessons early and also preferable to learn your lessons when there's not a lot of money at stake, which I did.”

    Open source at 5:13 Source-linked transcript excerpt #
    learningmarket psychologyrisk
  141. Transcript excerptPepperdine University

    “And given the, if you think about it, from 1980 when the inflation was solved, essentially to date, generally speaking, the more optimistic you were, the more money you made.”

    Open source at 5:41 Source-linked transcript excerpt #
    credit cyclemarket psychologyrisk
  142. Transcript excerptPepperdine University

    “it's not what you buy, it's what you pay. And good investing is not just a function of buying good things, but of buying things well.”

    Open source at 6:04 Source-linked transcript excerpt #
    investment philosophyriskvaluation
  143. Transcript excerptPepperdine University

    “And good investing is not just a function of buying good things, but of buying things well.”

    Open source at 6:07 Source-linked transcript excerpt #
    investment philosophyriskvaluation
  144. Transcript excerptPepperdine University

    “Risk, in my opinion, and my view has evolved, risk is the probability negative outcome, of an undesirable outcome. It is not the volatility of the stream.”

    Open source at 10:59 Source-linked transcript excerpt #
    market psychologyrisktheory
  145. Transcript excerptPepperdine University

    “Risk, in my opinion, and my view has evolved, risk is the probability negative outcome, of an undesirable outcome.”

    Open source at 10:59 Source-linked transcript excerpt #
    market psychologyrisktheory
  146. Transcript excerptPepperdine University

    “And if you can survive long enough to enjoy the long term benefit of the lumpy 15, it beats the hell out of the smooth 12.”

    Open source at 11:23 Source-linked transcript excerpt #
    returnsriskvolatility
  147. Transcript excerptPepperdine University

    “If a risky asset can be counted on to have a high return, then it's not risky. So it can't be true. It's incorrect on its face.”

    Open source at 13:19 Source-linked transcript excerpt #
    market psychologyrisktheory
  148. Transcript excerptPepperdine University

    “What the relationship means is that an asset that appears to be risky has to appear to offer a high return or else nobody will buy it.”

    Open source at 13:30 Source-linked transcript excerpt #
    market psychologyreturnsrisk
  149. Transcript excerptPepperdine University

    “And forty years later in 2020, I was able to borrow at two and a quarter fixed for fifteen years.”

    Open source at 18:08 Source-linked transcript excerpt #
    credit cycleinterest rates
  150. Transcript excerptPepperdine University

    “See, the lead up was that because we were worried in 'five and assets, we liquidated a lot of funds, if we raised funds, we raised only small funds, we increased our selectivity.”

    Open source at 35:55 Source-linked transcript excerpt #
    credit cyclefinancial crisisprivate credit
  151. Transcript excerptPepperdine University

    “And the biggest fund in history was $2,500,000,000 That was our 'one fund for. And so we went out to raise $3,000,000,000 and within a month we had orders for eight.”

    Open source at 36:19 Source-linked transcript excerpt #
    distressed debtfundraisingprivate credit
  152. Transcript excerptPepperdine University

    “The S and P 500 stock index has been around for about a century. There have been ninety seven or ninety eight three year periods by definition.”

    Open source at 43:03 Source-linked transcript excerpt #
    market psychologyreturnsvaluations
  153. Transcript excerptPepperdine University

    “There have been ninety seven or ninety eight three year periods by definition. And there have been only six which were better than the last three years.”

    Open source at 43:10 Source-linked transcript excerpt #
    market cyclemarket psychologyvaluation
  154. Transcript excerptPepperdine University

    “And I say in the memo, for example, that some woman left OpenAI, started a company called Thinking Machine Labs, went out to raise money, and she said this company is going to engage in AI, but I can't tell you what we're going to do. It's a secret. And people gave her $2,000,000,000 for a sixth of the company.”

    Open source at 45:41 Source-linked transcript excerpt #
    ai bubblemarket psychologyvaluation
  155. Transcript excerptPepperdine University

    “some woman left OpenAI, started a company called Thinking Machine Labs, went out to raise money, and she said this company is going to engage in AI, but I can't tell you what we're going to do. It's a secret. And people gave her $2,000,000,000 for a sixth of the company.”

    Open source at 45:43 Source-linked transcript excerpt #
    aibubblemarket psychology
  156. Transcript excerptPepperdine University

    “And at the time I was writing the memo, she was out trying to raise more money at a $50,000,000,000 valuation for a company that wouldn't say what its product is.”

    Open source at 46:24 Source-linked transcript excerpt #
    aibubblesmarket excess
  157. Transcript excerptPepperdine University

    “Their incremental profitability is enormous. When your product is virtual and you're selling one, you're making some money, you want to sell two, there's almost no cost in the second one.”

    Open source at 54:27 Source-linked transcript excerpt #
    profitabilitytechvaluation
  158. Transcript excerptBrookfield

    “The period, twenty three four five is for the S and P 500 is, I think, the seventh best three year period out of the last 100. Seventh out of a 100.”

    Open source at 3:18 Source-linked transcript excerpt #
    market psychologyreturnsvaluations
  159. Transcript excerptBrookfield

    “The period, twenty three four five is for the S and P 500 is, I think, the seventh best three year period out of the last 100.”

    Open source at 3:18 Source-linked transcript excerpt #
    historical contextmarket valuations&p 500
  160. Transcript excerptBrookfield

    “If you committed to spend money as we did on September 19 and you're not uncomfortable, there's something wrong with you.”

    Open source at 10:21 Source-linked transcript excerpt #
    contrarian investingmarket psychologyrisk
  161. Transcript excerptBrookfield

    “Buffett says most things best. He says, the less prudence with which others conduct their affairs, the greater the prudence with which we must conduct our own affairs.”

    Open source at 12:28 Source-linked transcript excerpt #
    contrarianprudencerisk management
  162. Transcript excerptBrookfield

    “In every other walk of life, we buy more when things go on sale. In the markets, we sell more when things go on sale.”

    Open source at 17:35 Source-linked transcript excerpt #
    contrarianhuman naturemarket psychology
  163. Transcript excerptBrookfield

    “Most people care a little about a dollar made and a lost. Exposing yourself to the risk of loss is integral in trying to have a good investment return.”

    Open source at 18:04 Source-linked transcript excerpt #
    human natureloss aversionrisk
  164. Transcript excerptBrookfield

    “Exposing yourself to the risk of loss is integral in trying to have a good investment return. So, you know, even though our investment philosophy, stresses, risk control, we're not talking about risk avoidance.”

    Open source at 18:12 Source-linked transcript excerpt #
    investment philosophypsychologyrisk
  165. Transcript excerptBrookfield

    “Buffett again. Buffett says, I'd rather have a lumpy 15% return than a smooth 12.”

    Open source at 21:36 Source-linked transcript excerpt #
    buffettreturnsvolatility
  166. Transcript excerptBrookfield

    “And I would say to people, if you'd rather have a smooth 12 than a lumpy 15, you have to ask yourself what's going on.”

    Open source at 21:43 Source-linked transcript excerpt #
    returnsriskvolatility
  167. Transcript excerptBrookfield

    “Dave Swenson used my favorite two word phrase that good investing requires the adoption of uncomfortably idiosyncratic positions.”

    Open source at 23:55 Source-linked transcript excerpt #
    contrarianpositioningswensen
  168. Transcript excerptThe Investor’s Podcast

    “I've never heard anybody tell me how AI is going to change the world. We know it's a powerful force. Can think, it can process data.”

    Open source at 7:38 Source-linked transcript excerpt #
    aibubblesmarket psychology
  169. Transcript excerptThe Investor’s Podcast

    “I always make this point that the bubbles are very, very around something new because the imagination is untrammed and it can go off in a flight of fancy.”

    Open source at 8:20 Source-linked transcript excerpt #
    bubblesinnovationmarket psychology
  170. Transcript excerptThe Investor’s Podcast

    “You're never going to have a bubble in paper stocks or timber stocks. It's too prosaic. People can say, well, we can tell how many houses you're going to build.”

    Open source at 8:33 Source-linked transcript excerpt #
    bubblesmarket psychologyvaluation
  171. Transcript excerptThe Investor’s Podcast

    “There's no doubt that the internet will produce a great increase in productivity. It's not clear that it'll have a positive impact on profitability. And I think the same is true of AI.”

    Open source at 9:47 Source-linked transcript excerpt #
    aiproductivityprofitability
  172. Transcript excerptThe Investor’s Podcast

    “There's no doubt that the internet will produce a great increase in productivity. It's not clear that it'll have a positive impact on profitability.”

    Open source at 9:47 Source-linked transcript excerpt #
    aiproductivityprofitability
  173. Transcript excerptThe Investor’s Podcast

    “My travel, I watched CNN International and they're drumming up interest in a show. And the anchor says to a guest, You say that AI has the ability to eliminate half of entry level jobs.”

    Open source at 10:05 Source-linked transcript excerpt #
    aiautomationlabor market
  174. Transcript excerptThe Investor’s Podcast

    “You say that AI has the ability to eliminate half of entry level jobs. That was the whole conversation because then they cut to something else. But the point is that may be true.”

    Open source at 10:12 Source-linked transcript excerpt #
    aiemploymentprofitability
  175. Transcript excerptThe Investor’s Podcast

    “And obviously if you can produce The US GDP and eliminate half the entry level jobs, it could be more profitable or certainly more productive.”

    Open source at 10:23 Source-linked transcript excerpt #
    aiemploymentproductivity
  176. Transcript excerptThe Investor’s Podcast

    “To whom will the savings accrue? If different companies are competing to provide the AI service, maybe they'll compete on price to the point where it's not profitable for them.”

    Open source at 10:35 Source-linked transcript excerpt #
    aicompetitionprofitability
  177. Transcript excerptThe Investor’s Podcast

    “If different companies are competing to provide the AI service, maybe they'll compete on price to the point where it's not profitable for them.”

    Open source at 10:37 Source-linked transcript excerpt #
    aicompetitionprofitability
  178. Transcript excerptThe Investor’s Podcast

    “If they have the low probability of success, you should accept that that means chances are good of unsuccessful.”

    Open source at 11:58 Source-linked transcript excerpt #
    aiinvestment strategyrisk
  179. Transcript excerptThe Investor’s Podcast

    “Or do you want to invest in a great tech company, which is already existing and making a lot of money where AI could be incremental, but not life changing?”

    Open source at 12:42 Source-linked transcript excerpt #
    aiinvestment strategyrisk
  180. Transcript excerptThe Investor’s Podcast

    “The future is not a set single thing that if you're smart enough, you can figure it out what it's going to be and it's going to materialize and make you right.”

    Open source at 26:23 Source-linked transcript excerpt #
    forecastingriskuncertainty
  181. Transcript excerptThe Investor’s Podcast

    “It's a probability distribution. It's a range of possibilities in each thing, whether it's GDP growth next year or inflation next year, or who's going to win the next election,”

    Open source at 26:31 Source-linked transcript excerpt #
    forecastingriskuncertainty
  182. Transcript excerptThe Investor’s Podcast

    “So solidly in the second quarter for fourteen years in a row. But interestingly, as a result, for the fourteen years overall, they were in the fourth percentile.”

    Open source at 3:15 Source-linked transcript excerpt #
    compoundingperformancerisk
  183. Transcript excerptThe Investor’s Podcast

    “for the fourteen years overall, they were in the fourth percentile. Now that's incredible math. You would say, well, if you bounce back in '40 between '27 47, on average, you're probably about 37.”

    Open source at 3:23 Source-linked transcript excerpt #
    consistencyperformancerisk
  184. Transcript excerptThe Investor’s Podcast

    “And the answer turns out to be that most investors, shoot for the stars and occasionally shoot themselves in the foot and wreck their record.”

    Open source at 3:35 Source-linked transcript excerpt #
    defensive investingmarket psychologyrisk
  185. Transcript excerptThe Investor’s Podcast

    “most investors, shoot for the stars and occasionally shoot themselves in the foot and wreck their record. And once you have a big loss, it takes a long time to get back to scratch.”

    Open source at 3:37 Source-linked transcript excerpt #
    investor behaviorlossesrisk
  186. Transcript excerptThe Investor’s Podcast

    “And it happens to say in there, simply put what the pension funds record tells me is that in equities, if you can avoid the losers and losing years, the winners will take care of themselves.”

    Open source at 4:02 Source-linked transcript excerpt #
    investment philosophyoaktreerisk avoidance
  187. Transcript excerptThe Investor’s Podcast

    “in equities, if you can avoid the losers and losing years, the winners will take care of themselves.”

    Open source at 4:08 Source-linked transcript excerpt #
    investing philosophyoaktreerisk
  188. Transcript excerptThe Investor’s Podcast

    “And when we started Oaktree in 1995, I wrote that down, and that became our motto and still is. If you can avoid the losers, the winners will take care of themselves.”

    Open source at 4:15 Source-linked transcript excerpt #
    investment philosophyoaktreerisk
  189. Transcript excerptThe Investor’s Podcast

    “And when we started Oaktree in 1995, I wrote that down, and that became our motto and still is.”

    Open source at 4:15 Source-linked transcript excerpt #
    investment philosophyoaktreerisk
  190. Transcript excerptThe Investor’s Podcast

    “if there are a 100 high yield bonds out there and they're all 8% bonds, and you know that 90 will pay and 10 will default, it doesn't matter which of the 90 that pay you buy because they're all 8% bonds, they all get the same return.”

    Open source at 5:18 Source-linked transcript excerpt #
    credithigh yieldnegative art
  191. Transcript excerptThe Investor’s Podcast

    “But, you know, in the investment business, even when you're even when you think you're right, you shouldn't assume that it's more than $80.20.”

    Open source at 23:17 Source-linked transcript excerpt #
    market psychologyprobabilityuncertainty
  192. Transcript excerptThe Investor’s Podcast

    “What if I said, every four days I got either say buy or sell? I think that my record would be fifty fifty at best.”

    Open source at 23:58 Source-linked transcript excerpt #
    frequencymarket timingpatience
  193. Transcript excerptThe Investor’s Podcast

    “When Lehman Brothers went bankrupt in mid September of o eight, we had raised the biggest distressed debt fund in history by a factor of about three.”

    Open source at 27:51 Source-linked transcript excerpt #
    2008crisis investingdistressed debt
  194. Transcript excerptThe Investor’s Podcast

    “When Lehman Brothers went bankrupt in mid September of o eight, we had raised the biggest distressed debt fund in history by a factor of about three. We had $10,000,000,000 sitting on the shelf.”

    Open source at 27:51 Source-linked transcript excerpt #
    2008 crisiscredit cycledistressed debt
  195. Transcript excerptThe Investor’s Podcast

    “We had $10,000,000,000 sitting on the shelf. Lehman goes under. Most people think the financial world is gonna melt down. Question is whether you spend the money.”

    Open source at 28:00 Source-linked transcript excerpt #
    2008 crisiscredit cycledistressed debt
  196. Transcript excerptThe Investor’s Podcast

    “Bruce and I figured out that we should spend the money. He ran the fund in question and he bravely invested an average of $450,000,000 a week for the next fifteen weeks.”

    Open source at 28:17 Source-linked transcript excerpt #
    2008 crisiscontrariancredit cycle
  197. Transcript excerptThe Investor’s Podcast

    “He ran the fund in question and he bravely invested an average of $450,000,000 a week for the next fifteen weeks. That's $7,000,000,000 in one quarter.”

    Open source at 28:20 Source-linked transcript excerpt #
    2008crisis investingdeployment
  198. Transcript excerptThe Investor’s Podcast

    “I've never heard anybody tell me how AI is going to change the world. We know it's a powerful force. Can think, it can process data.”

    Open source at 53:52 Source-linked transcript excerpt #
    aibubblesmarket psychology
  199. Transcript excerptThe Investor’s Podcast

    “There's no doubt that the Internet will produce a great increase in productivity. It's not clear that it'll have a positive impact on profitability. And I think the same is true of AI.”

    Open source at 56:01 Source-linked transcript excerpt #
    aiprofitabilitytechnology
  200. Transcript excerptThe Investor’s Podcast

    “if you can produce The US GDP and eliminate half the entry level jobs, it could be more profitable or certainly more productive. But the question is, will it be more profitable?”

    Open source at 56:39 Source-linked transcript excerpt #
    aimarket psychologyprofitability
  201. Transcript excerptThe Investor’s Podcast

    “And if you bought the S and P at the same time, you've had a 12.7% rate of return.”

    Open source at 1:02:37 Source-linked transcript excerpt #
    asset allocationgoldperformance
  202. Transcript excerptBloomberg Podcasts

    “And the question is, will the implementation prove to have been excessive in scope and in in the way it's financed?”

    Open source at 1:07 Source-linked transcript excerpt #
    aibubblestechnological change
  203. Transcript excerptBloomberg Podcasts

    “I mean, in order to be a smart lender, you have to have good visibility on the extent to which the thing has is likely to repay interest and principal.”

    Open source at 2:10 Source-linked transcript excerpt #
    lending standardsprivate creditrisk
  204. Transcript excerptBloomberg Podcasts

    “You certainly shouldn't do that in in in activities that have a high probability of not paying off at all because then you have unlimited downside and limited upside.”

    Open source at 2:44 Source-linked transcript excerpt #
    lendingprivate creditrisk
  205. Transcript excerptBloomberg Podcasts

    “Buffett says, the less prudence with which others conduct our affairs, the greater the prudence with which we must conduct our own affairs.”

    Open source at 3:52 Source-linked transcript excerpt #
    buffettmarket psychologyrisk
  206. Transcript excerptBloomberg Podcasts

    “So when other people are acting imprudently and mindlessly and carefree, we should be worried.”

    Open source at 3:58 Source-linked transcript excerpt #
    contrarianmarket psychologyrisk
  207. Transcript excerptBloomberg Podcasts

    “And the Fed manipulations are a form of price controls. You know, they control the price of money. And if Fed puts money artificially cheap, then it induces behavior like risk taking.”

    Open source at 5:19 Source-linked transcript excerpt #
    fed policymarket psychologyrisk
  208. Transcript excerptBloomberg Podcasts

    “And the Fed manipulations are a form of price controls. You know, they control the price of money.”

    Open source at 5:19 Source-linked transcript excerpt #
    fed policymarket psychologyrisk
  209. Transcript excerptBloomberg Podcasts

    “And if Fed puts money artificially cheap, then it induces behavior like risk taking. It forces people into riskier activities because the returns on safe activities are so low.”

    Open source at 5:27 Source-linked transcript excerpt #
    fed policymarket psychologyrisk
  210. Transcript excerptBloomberg Podcasts

    “Historically, if you bought at this PE ratio, your return over the next ten years averaged in the very low single digits.”

    Open source at 7:56 Source-linked transcript excerpt #
    market valuationreturnsrisk
  211. Transcript excerptBloomberg Podcasts

    “Historically, if you bought at this PE ratio, your return over the next ten years averaged in the very low single digits. So I I think we're in a moderate return scenario.”

    Open source at 7:56 Source-linked transcript excerpt #
    market psychologyreturnsvaluation
  212. Transcript excerptBloomberg Podcasts

    “And as I said in the addendum, When we lost jobs to automation and offshoring, I think that that coincided with the opiate epidemic and not only in amount but also in location.”

    Open source at 9:39 Source-linked transcript excerpt #
    aijobssociety
  213. Transcript excerptBloomberg Podcasts

    “When we lost jobs to automation and offshoring, I think that that coincided with the opiate epidemic and not only in amount but also in location.”

    Open source at 9:46 Source-linked transcript excerpt #
    ai impactautomationsocial consequences
  214. Transcript excerptBloomberg Podcasts

    “And I think it's a natural consequence of people sitting around all day. And even if we if we can find a way to replace their income I worry about purposelessness”

    Open source at 10:02 Source-linked transcript excerpt #
    ai impactpurposelessnesssociety
  215. Transcript excerptBloomberg Podcasts

    “And I think it's a natural consequence of people sitting around all day. And even if we if we can find a way to replace their income I worry about purposelessness and you know we get so much job so much from our jobs other than a paycheck and you can't replace that stuff.”

    Open source at 10:02 Source-linked transcript excerpt #
    ai impactjobssociety
  216. Transcript excerptBloomberg Podcasts

    “And even if we if we can find a way to replace their income I worry about purposelessness and you know we get so much job so much from our jobs other than a paycheck and you can't replace that stuff.”

    Open source at 10:08 Source-linked transcript excerpt #
    ai impactpurposelessnesssocial consequences
  217. Transcript excerptCNBC Television

    “To me, the main ingredient in bubbles is psychological excess. There's no such thing as a price too high.”

    Open source at 0:00 Source-linked transcript excerpt #
    bubblesmarket psychologyrisk
  218. Transcript excerptCNBC Television

    “And I don't detect that level of mania at this time, so I have not put the bubble label Right.”

    Open source at 0:10 Source-linked transcript excerpt #
    aibubblesmarket psychology
  219. Transcript excerptCNBC Television

    “And I don't detect that level of mania at this time, so I have not put the bubble label Right. On this on this incident.”

    Open source at 0:10 Source-linked transcript excerpt #
    aibubblesmarket psychology
  220. Transcript excerptCNBC Television

    “I think there's relatively little doubt that AI will change the world. And AI has been successful as an investment, and people are piling in,”

    Open source at 0:33 Source-linked transcript excerpt #
    aiinvestmenttechnology
  221. Transcript excerptCNBC Television

    “I think there's relatively little doubt that AI will change the world. And AI has been successful as an investment, and people are piling in, and there's some fear about being left out.”

    Open source at 0:33 Source-linked transcript excerpt #
    aifomomarket psychology
  222. Transcript excerptCNBC Television

    “But to me, it just hasn't this is a judgment call. And to me, it just hasn't reached that critical mass of mania.”

    Open source at 0:51 Source-linked transcript excerpt #
    aibubblesmania
  223. Transcript excerptThe Church Sag Harbor

    “the efficient market hypothesis posits that because of the concerted action of investors, prices converge with fair value, everything is priced right, and you can't beat the market.”

    Open source at 8:01 Source-linked transcript excerpt #
    efficient marketsinvestment theorymarket psychology
  224. Transcript excerptThe Church Sag Harbor

    “the efficient market hypothesis says you can't beat the market. And what I would say is it's not that you can't beat the market, but it's hard. And rather few people can do it.”

    Open source at 9:13 Source-linked transcript excerpt #
    efficient market hypothesismarket theory
  225. Transcript excerptThe Church Sag Harbor

    “if you look at equity mutual funds, most equity mutual funds don't even do as well as the S and P five hundred before fees, and then they charge you a high fee for their efforts, and they do notably worse after fees.”

    Open source at 9:53 Source-linked transcript excerpt #
    feesindex fundsmarket efficiency
  226. Transcript excerptThe Church Sag Harbor

    “if you look at equity mutual funds, most equity mutual funds don't even do as well as the S and P five hundred before fees,”

    Open source at 9:53 Source-linked transcript excerpt #
    indexingmutual fundsperformance
  227. Transcript excerptThe Church Sag Harbor

    “One of the biggest mistakes you can make in life, but especially in investing, is to assume that you're smart and everybody else is dumb.”

    Open source at 12:31 Source-linked transcript excerpt #
    humilitymarket psychologyrisk
  228. Transcript excerptThe Church Sag Harbor

    “if riskier investments could be counted on to produce higher returns, then by definition, they're not risky. So that can't be right.”

    Open source at 18:57 Source-linked transcript excerpt #
    investment theoryreturnrisk
  229. Transcript excerptThe Church Sag Harbor

    “if it were true that taking more risk is the surefire path to a higher return, then it wouldn't be risky. Can't be right. So I was always unsatisfied with that.”

    Open source at 19:11 Source-linked transcript excerpt #
    market theoryrisk
  230. Transcript excerptThe Church Sag Harbor

    “assets that are expected to be riskier have to appear to offer a higher return or nobody will make those investments. That makes a 100% sense, doesn't it?”

    Open source at 22:16 Source-linked transcript excerpt #
    expected returnreturnrisk
  231. Transcript excerptThe Church Sag Harbor

    “assets that are expected to be riskier have to appear to offer a higher return or nobody will make those investments. That makes a 100% sense, doesn't it? So that's what this relationship means”

    Open source at 22:16 Source-linked transcript excerpt #
    market theoryreturnrisk
  232. Transcript excerptThe Church Sag Harbor

    “something like probably 99% of all startups fail, probably something like 90% of all the investments that venture capital funds make fail.”

    Open source at 29:09 Source-linked transcript excerpt #
    riskstatisticsventure capital
  233. Transcript excerptThe Church Sag Harbor

    “I can have more of the things that go up a lot than you do or less of the things that go down a lot than you do.”

    Open source at 30:40 Source-linked transcript excerpt #
    investment strategymarket psychologyperformance
  234. Transcript excerptThe Church Sag Harbor

    “in real life things fluctuate between pretty good and not so hot but in the minds of investors, they go from flawless to hopeless.”

    Open source at 35:44 Source-linked transcript excerpt #
    cyclesmarket psychologysentiment
  235. Transcript excerptThe Church Sag Harbor

    “The way to think of of a pattern of of cycle is excesses and corrections. So so for example, let's look here. What's happening here?”

    Open source at 37:27 Source-linked transcript excerpt #
    cyclesmarket theory
  236. Transcript excerptThe Church Sag Harbor

    “you watch the shows on TV and you get somebody on who says, you should buy and some people buy and then the next guest says you should sell and things go like this.”

    Open source at 44:50 Source-linked transcript excerpt #
    short-termismsocial media
  237. Transcript excerptThe Church Sag Harbor

    “in general, it's a bad idea to buy the things that everybody loves and it's a good idea to buy the things that everybody hates.”

    Open source at 46:41 Source-linked transcript excerpt #
    contrariansentimentvaluation
  238. Transcript excerptThe Church Sag Harbor

    “Can you imagine the world today without the internet? And yet I imagine that 99% of the internet stocks that came out are worthless today.”

    Open source at 54:30 Source-linked transcript excerpt #
    bubblesmarket psychologytechnology
  239. Transcript excerptMy First Million

    “And it was a negative correlation, which means the higher the PE ratio you pay, the lower the return you should expect.”

    Open source at 5:12 Source-linked transcript excerpt #
    forecastingmarket valuations&p 500
  240. Transcript excerptMy First Million

    “And it showed that historically, you bought the S and P when the PE ratio was 23, in every case, there were no exceptions.”

    Open source at 5:36 Source-linked transcript excerpt #
    market psychologyriskvaluation
  241. Transcript excerptMy First Million

    “So today you can buy high yield bonds, whether it be The US or Europe or variations on that theme, what we call low grade credit.”

    Open source at 9:23 Source-linked transcript excerpt #
    alternativescredithigh yield
  242. Transcript excerptMy First Million

    “I came across a great quote within the last year from a guy who's a retired trader, When the time comes to buy, you won't want to.”

    Open source at 20:39 Source-linked transcript excerpt #
    behavioral financecontrarianmarket psychology
  243. Transcript excerptMy First Million

    “The only thing I'm sure of is if you zig when they zig, you're not gonna outperform.”

    Open source at 22:08 Source-linked transcript excerpt #
    market psychologyrisk
  244. Transcript excerptMy First Million

    “I'd say, look at this piece of junk that got issued yesterday. There's something wrong. If a deal like this can get done, the world is exercising inadequate prudence.”

    Open source at 31:03 Source-linked transcript excerpt #
    credit cyclemarket psychologyrisk assessment
  245. Transcript excerptMy First Million

    “But we would like to have the remainder of your interest in a standby fund that will implement if the stuff hits the fan.”

    Open source at 32:36 Source-linked transcript excerpt #
    credit cyclerisk
  246. Transcript excerptMy First Million

    “But if I don't invest it and the world doesn't melt down, then we didn't do our job. QED, you have to move forward.”

    Open source at 33:54 Source-linked transcript excerpt #
    crisis investingdecision-makingrisk
  247. Transcript excerptMy First Million

    “So as you say, we invested $450,000,000 a week for the next fifteen weeks in that fund, which was 7,000,000,000 and Oaktree overall invested an average of $650,000,000 a week for the next fifteen weeks.”

    Open source at 34:45 Source-linked transcript excerpt #
    crisis investingdeploymentprivate credit
  248. Transcript excerptOaktree

    “The academics developing investment theory, largely at the University of Chicago in the early sixties, just a couple years before I got there, adopted volatility as their measure of risk.”

    Open source at 2:44 Source-linked transcript excerpt #
    academic theorymarket psychologyrisk
  249. Transcript excerptOaktree

    “I think that volatility can be an indicator of the presence of risk, a symptom if you will, but it's not risk itself.”

    Open source at 3:04 Source-linked transcript excerpt #
    academic theoryrisk
  250. Transcript excerptOaktree

    “So if risk is not volatility, then what is it? And in my opinion, and in the real world sense, risk is the probability of loss.”

    Open source at 3:12 Source-linked transcript excerpt #
    market psychologyrisk
  251. Transcript excerptOaktree

    “I was writing my first memo about risk in 2006. I wrote about my belief that risk is not quantifiable in advance.”

    Open source at 4:14 Source-linked transcript excerpt #
    market psychologyrisk
  252. Transcript excerptOaktree

    “The fact that you experienced a downward fluctuation might have been uncomfortable for a little while. But by the time the new high is achieved, you're you're you're back to to your cost and more.”

    Open source at 6:25 Source-linked transcript excerpt #
    market psychologyrisk
  253. Transcript excerptOaktree

    “My friend Rick Kane once said that 96% of financial history has occurred within two standard deviations, but everything interesting has happened outside of two standard deviations.”

    Open source at 9:12 Source-linked transcript excerpt #
    market psychologyrisk
  254. Transcript excerptOaktree

    “I think it's important to grasp a concept. Risk is hidden, and risk is deceptive. Loss is what happens when risk, the potential for loss, collides with negative events.”

    Open source at 18:36 Source-linked transcript excerpt #
    market psychologyrisk
  255. Transcript excerptOaktree

    “One of the most important things for every investor to learn is that risk is not a function of asset quality. This too sounds counterintuitive.”

    Open source at 20:35 Source-linked transcript excerpt #
    credit cyclerisk
  256. Transcript excerptOaktree

    “My conclusion was it's not what you buy, it's what you pay. And investment success doesn't come from buying good things, but from buying things well.”

    Open source at 22:33 Source-linked transcript excerpt #
    market psychologyrisk
  257. Transcript excerptOaktree

    “There are no assets that are so good that they can't become overpriced and dangerous. There are very few assets that are so bad that they can't be cheap enough to be attractive as investments.”

    Open source at 22:46 Source-linked transcript excerpt #
    market psychologyrisk
  258. Transcript excerptOaktree

    “Very simply, if it were true that riskier assets produce higher returns, then they wouldn't be riskier, would they? So that can't be the right explanation.”

    Open source at 24:12 Source-linked transcript excerpt #
    market psychologyrisk
  259. Transcript excerptOaktree

    “What the upward sloping line, the positive correlation, means is that investments that are perceived as being risky have to be perceived as offering higher returns to induce people to make those investments.”

    Open source at 24:21 Source-linked transcript excerpt #
    market psychologyrisk
  260. Transcript excerptOaktree

    “I believe imprecise qualitative expert opinion about the probability of loss is far more useful than precise but largely irrelevant numbers concerning past and projected volatility.”

    Open source at 27:18 Source-linked transcript excerpt #
    market psychologyrisk
  261. Transcript excerptOaktree

    “I think the right model for thinking about whether we need risk control isn't American football, it's soccer. In American football, the team with the ball has the offense on the field.”

    Open source at 29:30 Source-linked transcript excerpt #
    market psychologyrisk
  262. Transcript excerptDavid Perell

    “One thing within your control is the quality of your output. Amen. You should have a simple goal to put out a product which is the highest quality you can.”

    Open source at 0:06 Source-linked transcript excerpt #
    advicecontrolmarket psychology
  263. Transcript excerptDavid Perell

    “I couldn't disagree more. There are happy accidents. There are unhappy accidents. Now, you know, people say luck happens when preparation meets opportunity.”

    Open source at 5:57 Source-linked transcript excerpt #
    luckrandomnesssuccess
  264. Transcript excerptDavid Perell

    “Well, I really believe that I can tell people what's important, but most of them are still not gonna be able to do it.”

    Open source at 6:54 Source-linked transcript excerpt #
    implementationknowledgeteaching
  265. Transcript excerptDavid Perell

    “So I'm not putting myself at risk, because some people are gonna say, well, that's what he says. I'm not into that.”

    Open source at 7:00 Source-linked transcript excerpt #
    implementationknowledgemarket psychologyrisk
  266. Transcript excerptDavid Perell

    “I'll never forget the time in the late nineties when I put out a memo, and within an hour or two, I had a, response back from somebody in Russia.”

    Open source at 16:25 Source-linked transcript excerpt #
    distributionhistoryviral
  267. Transcript excerptDavid Perell

    “So, you know, from probably a 100 or so in 1990, I think now we're up to 300,000 subscribers and hopefully they pass it around.”

    Open source at 16:52 Source-linked transcript excerpt #
    distributiongrowthscale
  268. Transcript excerptDavid Perell

    “I think now we're up to 300,000 subscribers and hopefully they pass it around. And and so it's it's a lot of fun now and I get great responses and I enjoy it.”

    Open source at 16:58 Source-linked transcript excerpt #
    distributionmemosscale
  269. Transcript excerptDavid Perell

    “One thing that's within your control is the quality of your output. Amen. And so you should have a simple goal which is to put out a product which is the highest quality you can.”

    Open source at 21:44 Source-linked transcript excerpt #
    advicecareerquality
  270. Transcript excerptDavid Perell

    “And if if they ever kept a scorecard on the things that they wrote about what's gonna happen tomorrow, they would see that on average they get it right half the time”

    Open source at 25:29 Source-linked transcript excerpt #
    forecastingmarket psychologyprediction
  271. Transcript excerptDavid Perell

    “Yeah. Well, I think visually, and graphically, and I think of these images which help me to distill my thoughts, and then I think they're very helpful in explaining it to people.”

    Open source at 29:15 Source-linked transcript excerpt #
    communicationvisualizationwriting
  272. Transcript excerptDavid Perell

    “To me, the real accomplishment is making money with the risk under control. And that's what thinking about risk, I think, helps you do. So, you know, Bernstein's, writing is very important.”

    Open source at 44:01 Source-linked transcript excerpt #
    investment philosophyriskskill
  273. Transcript excerptDavid Perell

    “To me, the real accomplishment is making money with the risk under control. And that's what thinking about risk, I think, helps you do.”

    Open source at 44:01 Source-linked transcript excerpt #
    investment philosophyreturnsrisk
  274. Transcript excerptDavid Rubenstein

    “Forty years later, the Fed funds rate was zero, and I had a loan outstanding from bank at two and a quarter.”

    Open source at 4:04 Source-linked transcript excerpt #
    credit cycleinterest ratesmarket history
  275. Transcript excerptDavid Rubenstein

    “So the decline of interest rates by 20 percentage points over that period was a dominant factor in the financial world.”

    Open source at 4:09 Source-linked transcript excerpt #
    credit cycleinterest ratesmarket history
  276. Transcript excerptDavid Rubenstein

    “what I said in the memo is that rates are likely to be between two and four, not between zero and two, the Fed funds rate.”

    Open source at 6:33 Source-linked transcript excerpt #
    forecastinterest ratesmonetary policy
  277. Transcript excerptDavid Rubenstein

    “rates are likely to be between two and four, not between zero and two, the Fed funds rate. And, you know, between zero and two is, an emergency measure.”

    Open source at 6:35 Source-linked transcript excerpt #
    credit cyclefed policyinterest rates
  278. Transcript excerptDavid Rubenstein

    “If inflation's two, then the Fed funds rate should be higher than that so that there's a positive real Fed funds rate.”

    Open source at 7:23 Source-linked transcript excerpt #
    credit cyclefed policyinterest rates
  279. Transcript excerptDavid Rubenstein

    “Some people come up to me and say, yes. You're right. Interest rates are are low. Nobody has said this is a major change as you say it is.”

    Open source at 8:02 Source-linked transcript excerpt #
    credit cyclemarket psychologysea change
  280. Transcript excerptDavid Rubenstein

    “Today, you can get equity type returns from what we call credit instruments, loans, corporate corporate loans, loans for buyouts.”

    Open source at 9:15 Source-linked transcript excerpt #
    investment strategyprivate creditreturns
  281. Transcript excerptDavid Rubenstein

    “You went to the bank. They said we'll lend you 800,000,000 at 5%. Now the loan is up for renewal. You go in. They say, fine. We'll lend you 500,000,000 at 8%.”

    Open source at 16:12 Source-linked transcript excerpt #
    credit cycleinterest ratesrefinancing
  282. Transcript excerptDavid Rubenstein

    “The great investors are right 60%, 70%, maybe 80% of the time. If you're the kind of person who has to be right all the time, you shouldn't be in in investing.”

    Open source at 20:57 Source-linked transcript excerpt #
    expectationsinvesting philosophyrisk
  283. Transcript excerptDavid Rubenstein

    “it's not just whether the event was positive, it's how people reacted to the event that determines the impact on the security prices.”

    Open source at 22:09 Source-linked transcript excerpt #
    behavioral financemarket psychologyrisk
  284. Transcript excerptGoldman Sachs

    “I'd hold up an article from the news, I said, Look at this piece of crap that got issued yesterday. If a company can raise money on this basis, there's something wrong in the market.”

    Open source at 3:08 Source-linked transcript excerpt #
    credit cyclemarket psychologyrisk
  285. Transcript excerptGoldman Sachs

    “If a company can raise money on this basis, there's something wrong in the market. It's as simple as that, you know?”

    Open source at 3:13 Source-linked transcript excerpt #
    bubble warningcredit cyclemarket discipline
  286. Transcript excerptGoldman Sachs

    “Either the financial system is going to melt down or it's not. If it melts down, it doesn't matter whether we bought or not, because it's, you know, it's game over for everything.”

    Open source at 4:29 Source-linked transcript excerpt #
    crisis investingmarket psychologyrisk
  287. Transcript excerptGoldman Sachs

    “The first closing was March o seven. We didn't start investing it until June o eight.”

    Open source at 5:49 Source-linked transcript excerpt #
    2008capital raisingpreparation
  288. Transcript excerptGoldman Sachs

    “And when prices are at absurd extremes, the case, the logic for a market call is very strong, and the probability of being right is very high.”

    Open source at 13:10 Source-linked transcript excerpt #
    careerdisciplinemarket calls
  289. Transcript excerptGoldman Sachs

    “And if it were true that every overpriced markets reverts and becomes fairly priced, then we would never get a bubble because they would stop going up here.”

    Open source at 15:22 Source-linked transcript excerpt #
    bubblesmarket psychologytiming
  290. Transcript excerptGoldman Sachs

    “successful investing requires the adoption of uncomfortably idiosyncratic positions. Everybody has the same influences, everybody thinks pretty much the same,”

    Open source at 19:43 Source-linked transcript excerpt #
    contrarianmarket psychologyoutperformance
  291. Transcript excerptGoldman Sachs

    “Everybody has the same influences, everybody thinks pretty much the same, everybody anoints the same winners and criticizes the same losers, and obviously tomorrow's winners are usually found on the pile of today's losers,”

    Open source at 19:52 Source-linked transcript excerpt #
    contrarianmarket psychologypositioning
  292. Transcript excerptGoldman Sachs

    “Was he was in every year for fourteen years in a row. He was between the twenty seventh and the forty seventh percentile measuring from the top.”

    Open source at 23:25 Source-linked transcript excerpt #
    consistencyinvestment philosophyperformance
  293. Transcript excerptGoldman Sachs

    “Approach is very simple, cut off the bottom tail. That's what this guy in the Midwest did.”

    Open source at 25:08 Source-linked transcript excerpt #
    performancerisk managementtail risk
  294. Transcript excerptGoldman Sachs

    “Or was it a really clever thing that nobody else had figured out where you were sure to double your money? And the answer is you can't tell.”

    Open source at 27:29 Source-linked transcript excerpt #
    investment philosophyquantificationrisk
  295. Transcript excerptGoldman Sachs

    “readily available quantitative information about the present can't help you be superior as an investor, or it's not sufficient to be superior.”

    Open source at 37:05 Source-linked transcript excerpt #
    dataedgeoutperformance
  296. Transcript excerptGoldman Sachs

    “You have to understand that and process it, but it's not enough because everybody else has it readily available and it's quantitative, so everybody can process it.”

    Open source at 37:20 Source-linked transcript excerpt #
    competitive advantagedatainvesting edge
  297. Transcript excerptGoldman Sachs

    “I don't think it can look at five business plans and figure out which is the next Amazon. These are subjective judgments about the future,”

    Open source at 38:47 Source-linked transcript excerpt #
    aijudgmentqualitative analysis
  298. Transcript excerptGoldman Sachs

    “I don't think it can look at five business plans and figure out which is the next Amazon. These are subjective judgments about the future, not based on past data.”

    Open source at 38:47 Source-linked transcript excerpt #
    artificial intelligencejudgmentqualitative analysis
  299. Transcript excerptWharton School

    “I believe that achieving an average return with below average risk is an equally significant accomplish, but easily overlooked because only the risk is evident, only the return is evident.”

    Open source at 12:08 Source-linked transcript excerpt #
    market psychologyperformance measurementrisk
  300. Transcript excerptWharton School

    “achieving an average return with below average risk is an equally significant accomplish, but easily overlooked because only the risk is evident, only the return is evident.”

    Open source at 12:09 Source-linked transcript excerpt #
    asymmetryperformancerisk
  301. Transcript excerptWharton School

    “I think that one of the things you're taught here is that volatility is a measure of risk. Volatility is risk.”

    Open source at 15:33 Source-linked transcript excerpt #
    academic theoryriskvolatility
  302. Transcript excerptWharton School

    “Einstein, there's a great quote from Einstein, who said that not everything that counts can be counted, and not everything that can be counted counts.”

    Open source at 17:35 Source-linked transcript excerpt #
    measurementphilosophyrisk
  303. Transcript excerptWharton School

    “risk is unquantifiable in advance. You can make reference to the historical volatility, the historical standard deviation, but number one, that's not a very good indicator of risk.”

    Open source at 23:05 Source-linked transcript excerpt #
    measurementriskvolatility
  304. Transcript excerptWharton School

    “You buy something for 100. A year later, sell it for 200. Was it risky? You can't tell. Even when it's over, you can't tell.”

    Open source at 26:34 Source-linked transcript excerpt #
    measurementphilosophyrisk
  305. Transcript excerptWharton School

    “Even when it's over, you can't tell. Was that a safe investment that it was sure to produce a double? Or was it a risky investment where you got lucky?”

    Open source at 26:45 Source-linked transcript excerpt #
    market psychologyriskuncertainty
  306. Transcript excerptWharton School

    “I believe that the riskiest thing in the world is the belief that there's no risk.”

    Open source at 39:13 Source-linked transcript excerpt #
    behavioral financemarket psychologyrisk
  307. Transcript excerptWharton School

    “the riskiest thing in the world is the belief that there's no risk. Because when police when people believe there's no risk, they act in very risky ways, which makes the world a risky place.”

    Open source at 39:13 Source-linked transcript excerpt #
    crisismarket psychologyrisk
  308. Transcript excerptWharton School

    “prior to the subprime crisis, the fraudulent mortgages that gave rise to the global financial crisis, there had never been a nationwide wave of mortgage defaults.”

    Open source at 39:28 Source-linked transcript excerpt #
    credit cyclemarket psychologyrisk
  309. Transcript excerptWharton School

    “I also believe that risk is hidden and deceptive. This is really important. Loss is what happens when risk, the potential for loss collides with negative events.”

    Open source at 40:27 Source-linked transcript excerpt #
    market cyclesportfolio managementrisk
  310. Transcript excerptWharton School

    “A high quality asset can be priced so high that it's risky. I started work at Citibank in September 1969, when I got out of Chicago Booth.”

    Open source at 42:48 Source-linked transcript excerpt #
    market historyriskvaluation
  311. Transcript excerptWharton School

    “And if you bought those stocks, the day I got there in '69, and you held them firmly for five years, you lost almost all your money.”

    Open source at 43:08 Source-linked transcript excerpt #
    market historyriskvaluation
  312. Transcript excerptWharton School

    “it's not what you buy, it's what you pay that determines whether your investment is risky or not. B, that good investing is not a matter of buying good things, but buying things well.”

    Open source at 44:21 Source-linked transcript excerpt #
    philosophypricevaluation
  313. Transcript excerptWharton School

    “B, that good investing is not a matter of buying good things, but buying things well. And the difference is not only grammatical.”

    Open source at 44:26 Source-linked transcript excerpt #
    investment philosophyriskvaluation
  314. Transcript excerptWharton School

    “if you can count on higher returns from a risky asset, then by definition, it's not risky. So it's kind of an oxymoron. And I was never comfortable with this graphic.”

    Open source at 45:50 Source-linked transcript excerpt #
    academicrisktheory
  315. Transcript excerptWharton School

    “the outcome of pulling a ticket from the bowl, the outcome of which investment performance will occur, never amounts to one ticket picked from among many.”

    Open source at 48:45 Source-linked transcript excerpt #
    market psychologyprobabilityrisk
  316. Transcript excerptWharton School

    “after the global financial crisis, some people thought it represented an existential threat, we swung into action and we were able to invest $650,000,000 a week on average for fifteen weeks between Lehman's September 15 bankruptcy and the end of the year, that's $10,000,000,000”

    Open source at 1:00:53 Source-linked transcript excerpt #
    credit cyclecrisis investingprivate credit
  317. Transcript excerptWharton School

    “Most inefficiency is the result of ignorance. But knowledge is cumulative. People learn more and more every year.”

    Open source at 1:04:33 Source-linked transcript excerpt #
    alphainformationmarket efficiency
  318. Transcript excerptMilken Institute

    “If you say to them, you know, well that happened twenty and forty years ago and it ended badly, what they say is they use the four worst words in the world.”

    Open source at 3:30 Source-linked transcript excerpt #
    contrarianismcyclesmarket psychology
  319. Transcript excerptMilken Institute

    “And there's a really important lesson in that, that good investing is not a matter of buying good things, but buying things well.”

    Open source at 11:55 Source-linked transcript excerpt #
    high-yield bondsinvestment philosophyvalue
  320. Transcript excerptMilken Institute

    “And, you know, Richard Feynman, the great physicist, said that, physics would be much harder if electrons had feelings.”

    Open source at 16:53 Source-linked transcript excerpt #
    human behaviormarket psychology
  321. Transcript excerptMilken Institute

    “Richard Feynman, the great physicist, said that, physics would be much harder if electrons had feelings. We walk in the room, we turn on the light switch, the lights go on every time.”

    Open source at 16:55 Source-linked transcript excerpt #
    human naturemarket behaviorpsychology
  322. Transcript excerptMilken Institute

    “I think that if you want to exist in the investment world and you want to, you can just buy and hold good things if you want to take that approach, But if you want to improve upon that, I think it's very important to understand the ebb and flow of psychology and act accordingly.”

    Open source at 17:45 Source-linked transcript excerpt #
    investing philosophymarket psychology
  323. Transcript excerptMilken Institute

    “I think that an exceptional investor is someone who has a good return disproportionate to the risk born. A good return with the risk under control.”

    Open source at 27:26 Source-linked transcript excerpt #
    investing philosophyrisk
  324. Transcript excerptMilken Institute

    “So at Oaktree, we invested $650,000,000 a week in the last fifteen weeks of 'eight, that's about $10,000,000,000 and that's really all you had to do.”

    Open source at 50:28 Source-linked transcript excerpt #
    2008 crisiscontrarianismcredit cycle
  325. Transcript excerptMilken Institute

    “you don't need conservatism, caution, risk control, discipline, patience or selectivity. You need money and the nerve to spend it.”

    Open source at 50:54 Source-linked transcript excerpt #
    market cyclemarket psychologyrisk
  326. Transcript excerptMilken Institute

    “the big realization of the last ten, forty years is that just about every asset can get cheap enough so that it's a good investment, and most investments can get so expensive that they're a bad investment. And the revolution of the high yield bond industry was really to say,”

    Open source at 56:32 Source-linked transcript excerpt #
    high yieldinvesting philosophyprice
  327. Transcript excerptMilken Institute

    “And in those days, a bond rated below investment grade, which means below triple b, could not be issued, wasn't proper.”

    Open source at 57:07 Source-linked transcript excerpt #
    credit ratingshigh yield bondsmarket history
  328. Transcript excerptMilken Institute

    “Now remember, the four worst words in the world were, it's different this time, the seven worst words in the world are too much money chasing too few deals.”

    Open source at 1:04:37 Source-linked transcript excerpt #
    cyclesmarket psychologyprivate credit
  329. Transcript excerptTalks at Google

    “you can't tell from an outcome whether a decision was good or bad. It's very important. Most people don't understand this. Totally counterintuitive.”

    Open source at 10:58 Source-linked transcript excerpt #
    market psychologyrandomnessrisk
  330. Transcript excerptTalks at Google

    “good decisions fail to work all the time. Bad decisions work all the time. The investment business is full of people who are, quote, right for the wrong reason.”

    Open source at 11:31 Source-linked transcript excerpt #
    market psychologyrandomnessrisk
  331. Transcript excerptTalks at Google

    “you should not act as if the things that should happen are the things that will happen. Again, in the world of the physical sciences, you can probably bet that that's true.”

    Open source at 12:49 Source-linked transcript excerpt #
    market psychologyriskuncertainty
  332. Transcript excerptTalks at Google

    “There's a professor at the London Business School who put it succinctly. He said risk means more things can happen than will happen. And again, this is profound in my opinion.”

    Open source at 14:08 Source-linked transcript excerpt #
    market psychologyrisk
  333. Transcript excerptTalks at Google

    “risk means more things can happen than will happen. And again, this is profound in my opinion. In the economic world, people generally make their decisions based on something called expected value,”

    Open source at 14:11 Source-linked transcript excerpt #
    market psychologyrisk
  334. Transcript excerptTalks at Google

    “So if you buy a high quality asset and I say in the book, there's a guy on the radio when I lived in LA,”

    Open source at 30:28 Source-linked transcript excerpt #
    market psychologyrisk
  335. Transcript excerptTalks at Google

    “if you bought the bonds of Hewlett Packard, PerkinElmer, Texas Instruments, Merck, Lilly, Xerox, IBM, Kodak, Polaroid, AIG, Coca Cola, and Procter and Gamble, and if you bought them all in 'sixty eight and you held them until 'seventy three, you lost 90% of your money.”

    Open source at 33:07 Source-linked transcript excerpt #
    credit cyclemarket psychology
  336. Transcript excerptTalks at Google

    “if you bought the bonds of Hewlett Packard, PerkinElmer, Texas Instruments, Merck, Lilly, Xerox, IBM, Kodak, Polaroid, AIG, Coca Cola, and Procter and Gamble, and if you bought them all in 'sixty eight and you held them until 'seventy three, you lost 90% of your money. Why? Because they were overpriced.”

    Open source at 33:07 Source-linked transcript excerpt #
    market psychologyrisk
  337. Transcript excerptTalks at Google

    “Then you go to the high yield bond business, you invest in the worst companies in America, you make the most money.”

    Open source at 33:48 Source-linked transcript excerpt #
    credit cyclemarket psychologyprivate credit
  338. Transcript excerptTalks at Google

    “You give me $100 and I promise to give you 5% interest every year and then give you a bonding back in twenty years. Fixed income, it's called, because all the events are fixed.”

    Open source at 36:33 Source-linked transcript excerpt #
    credit cycleprivate credit
  339. Transcript excerptTalks at Google

    “Fixed income, it's called, because all the events are fixed. The contract is fixed. The return is fixed, assuming the promise is kept.”

    Open source at 36:39 Source-linked transcript excerpt #
    credit cycleprivate credit
  340. Transcript excerptTalks at Google

    “What percentile do you think that fund was in for the whole fourteen years? Four. Four. And if you think about it, it's really almost mysterious. Why the fourth, not the thirty seventh?”

    Open source at 40:57 Source-linked transcript excerpt #
    market psychologyrisk
  341. Transcript excerptTalks at Google

    “in 'eighty eight, we brought out the first distressed debt fund. Now we're not investing in companies that have a risk of default.”

    Open source at 58:32 Source-linked transcript excerpt #
    credit cycleprivate creditrisk
  342. Transcript excerptTalks at Google

    “we brought out the first distressed debt fund. Now we're not investing in companies that have a risk of default. We're investing in bonds that are either in default or sure to be.”

    Open source at 58:33 Source-linked transcript excerpt #
    credit cycleprivate creditrisk
  343. Transcript excerptTalks at Google

    “And we've made about 23% a year for twenty eight years investing in distressed debt before fees without any leverage. So that's pretty astronomical. Why?”

    Open source at 59:24 Source-linked transcript excerpt #
    credit cycleprivate credit
  344. Transcript excerptTalks at Google

    “we've made about 23% a year for twenty eight years investing in distressed debt before fees without any leverage. So that's pretty astronomical. Why?”

    Open source at 59:25 Source-linked transcript excerpt #
    credit cycleprivate credit
  345. Transcript excerptTalks at Google

    “He gets a statement from Fidelity. He opens it up, and it says, the yield on your fund is now zero. He grabs the phone.”

    Open source at 1:06:01 Source-linked transcript excerpt #
    credit cyclemarket psychologyrisk
  346. Quoted in printen.wikipedia.org

    “ [ 4 ] Marks focuses on risk management and says that investors should set investment strategy according to their personal situations and ask themselves whether they worry more about the risk of losing money or the risk of missing an opportunity. [ 4 ] Marks believes that it is hard to gain an investment advantage through research since so many smart people are doing it already; the ways to get an advantage are through better inferring the consequences implied by current company data, managing the psychology of investing, and assessing the present stage of the business / market cycle. He hopes to have average returns during a bull market , while minimizing losses during bear markets due to his belief that losses do more harm than any benefit investors obtain from gains. Marks does favor using market timing strategies to have cash available to be invested during a downturn. [ 5 ] Marks notes that it is important for investors to admit what they don't know instead of believing something is certain. He aims for a ”

    Read original Source-linked excerpt #
    More context

    American businessman (b. 1946) · Contributors to Wikimedia projects

  347. Quoted in printen.wikipedia.org

    “, are widely admired in the investment community. They detail his investment strategies and insight into the economy and are posted publicly on the Oaktree website. He has also published 3 books on investing. [ 2 ] [ 3 ] According to Warren Buffett , ”

    Read original Source-linked excerpt #
    More context

    American businessman (b. 1946) · Contributors to Wikimedia projects

Appearances 12 appearances

every confirmed appearance, newest first

  1. Howard Marks: Higher-Level Thinking

    MOI Global · 2 Sep 2026 · 1h 02m · no quotes on record yet

  2. Catching Up With Power Investors Howard Marks and Bruce Flatt | At Barron's

    Barron's · 12 Jun 2026 · 28m · 13 quotes on record

  3. The IPO Frenzy Has Begun — ft. Howard Marks

    Prof G Markets · 12 Jun 2026 · 58m · 20 quotes on record

  4. Howard Marks: TBPN (2026)

    Oaktree · 26 May 2026 · 36m · 14 quotes on record

  5. Howard Marks: AI, Debt vs Equity & The Next 40 Years Of Investing | Nikhil Kamath | People by WTF

    Nikhil Kamath · 4 May 2026 · 1h 43m · 15 quotes on record

  6. Howard Marks on Value Investing, AI in Finance & More – Wharton School Investor Series

    Wharton School · 21 Apr 2026 · 41m · 16 quotes on record

  7. Squawk Pod: Private credit woes & psychedelic wins - 04/20/26 | Audio Only

    CNBC Television · 20 Apr 2026 · 47m · 11 quotes on record

  8. The Untold Story of High-Yield Risky Bonds - Howard Marks

    Investors Club · 28 Mar 2026 · 9m · no quotes on record yet

  9. Reflections on Oaktree Conference 2026 with Howard Marks

    Oaktree · 24 Mar 2026 · 32m · 13 quotes on record

  10. Oaktree's Howard Marks on Unpredictablility, Importance and Investing in AI

    Bloomberg Television · 18 Mar 2026 · 29m · 18 quotes on record

  11. AI can eliminate a huge percentage of knowledge work, says Oaktree's Howard Marks

    CNBC Television · 5 Mar 2026 · 4m · 12 quotes on record

  12. Fireside Chat with Howard Marks of Oaktree Capital Management

    Pepperdine University · 2 Mar 2026 · 58m · 18 quotes on record

Themes 1 theme

last 90 days

  • andy serwer andy serwer · posts only · 1 post · 0 of 0 appearances new
    post

    “@Brookfield has completed its purchase of @Oaktree, marking the beginning of an exciting new chapter. Our partnership over the past seven years has been defined by mutual respect and cooperation. Bruce Flatt and I discussed the opportunities ahead with Barron’s Andy Serwer:”

    View on X · 3 Aug 2026