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The Perfect Storm That Clobbered Hedge Funds

Odd Lots

Hosted by Joe Weisenthal and Tracy Alloway

51m
Transcript

Original podcast

Summary

Written by a model from the transcript; not yet reviewed.

This episode explores the severe market volatility and hedge fund losses of October and early November, driven by crowded trades and the unwinding of the artificial intelligence narrative. Hosts Tracy Alloway and Joe Weisenthal speak with Bloomberg News hedge fund correspondent Nishant Kumar and macro strategist Michael Ball about how major multi-strategy funds like Millennium, Balyasny, and Point 72 suffered historic declines simultaneously. The discussion details how intense leverage, correlated positioning in AI stocks, and mechanical factors like negative gamma and volatility control selling created a cascading market washout.

  • Multi-strategy hedge funds are designed to provide uncorrelated return streams to cushion institutional portfolios during downturns. 7:26
  • Crowded trades backed by massive leverage across major funds lead to correlated losses when market sentiment shifts. 18:34
  • Multi-strats employ ruthless risk management systems that cut capital allocations or fire portfolio managers after specific percentage losses. 21:22
  • Option market mechanics like negative gamma force dealers to sell into declining markets, exacerbating sell-offs. 38:23

Chapters

  1. 0:00
    Podcast Introduction and Advertisements

    Hosts welcome listeners and run brief sponsor ads before diving into the episode.

  2. 1:34
    Hosts Set the Stage for Hedge Fund Crash

    Joe and Tracy outline the recent historic downturn for hedge funds and preview the discussion.

  3. 4:26
    Nishant Kumar Discusses October Performance

    Bloomberg correspondent Nishant Kumar explains why October was a record‑low month for many hedge funds.

  4. 17:56
    Correlation and Crowded Trades in Multi‑Strats

    The hosts and Nishant analyze how multi‑strategy funds became highly correlated and crowded into the same AI‑related bets.

  5. 19:46
    Risk Management and Leverage in Hedge Funds

    Discussion of how risk‑management rules and leverage forced rapid position cuts during the crash.

  6. 28:03
    Future of Multi‑Strategy Funds and Capacity Constraints

    Nishant outlines the limited capacity for new multi‑strategy funds and the challenges of launching one today.

  7. 34:28
    Market Macro Events and the AI Theme

    Joe and Michael Ball break down the macro drivers—election, capex, and AI sentiment—that fed the market turbulence.

  8. 50:52
    Hyperscalers’ Business Segments

    Hosts dissect Alphabet and Meta’s legacy, cloud, and AI model segments, exploring how each fuels revenue.

  9. 52:06
    Traditional Business Struggles

    Discussion of search, cloud, and other legacy units facing weakness amid AI shifts.

  10. 52:42
    Compute Growth as a Hedge

    Exploration of compute demand growth as the key metric keeping hyperscalers afloat.

  11. 53:21
    Oil’s Impact on Market Dynamics

    Analysis of oil price movements, geopolitical risk, and their effect on equity and yield markets.

  12. 55:43
    Multi‑Strategy Fund Volatility

    Hosts explain how multi‑strategy funds amplify market swings and the challenges of short‑term returns.

Highlights

  • 4:37

    Historic Hedge Fund Lossesinsight

    Nishant Kumar explains that after 16 years of covering hedge funds, he had never seen a day or month as destructive as October, where multiple mainstream multi-strats failed together.

  • 5:57

    Millennium Down 2.3 Percentdata

    Millennium experienced a 2.3 percent loss in October, which is significant for a steady vehicle that typically annualizes around 14 percent and is expected to protect capital.

  • 10:02

    Vara Loses 33 Percentdata

    The AI-focused fund Vara suffered a 33 percent drop in October alone, illustrating the extreme concentration and drawdown risk present in crowded tech trades.

  • 21:22

    Ruthless Risk Management Rulesstrategy

    Multi-strats enforce strict loss limits where a 5 percent drawdown cuts a portfolio manager's capital in half, and an additional 2.5 percent loss results in immediate liquidation.

  • 34:55

    Retail Single Stock Sellingdata

    The first 30 minutes of trading on the Thursday after the election saw the largest single-stock selling by retail investors since the COVID-19 pandemic.

  • 38:23

    Negative Gamma Dealer Hedginginsight

    Michael Ball explains how option positioning and negative gamma forced dealers to sell into the market as key levels broke, intensifying the Thursday sell-off.

Quotes

  • “But in terms of hedge fund performance, look, it was pretty bad.”
    Unnamed speaker · 4:54
  • “But this was like a perfect storm.”
    Unnamed speaker · 6:33
  • “Your role in a portfolio is to soften the blow from any market turmoil.”
    Unnamed speaker · 7:26
  • “So Pivotal Path says the 10 largest firms in its study controlled about 2.2 trillion, including borrowed money.”
    Unnamed speaker · 18:34
  • “Millennium wanted to raise about $20 billion in new capital early this year. They got demand for more than $30 billion. They took in $22 billion.”
    Unnamed speaker · 30:14
  • “But I guess, look, these are big numbers in theory, but the market's pretty big and it can absorb this as long as the story behind it is, is compelling, which I think it is.”
    Unnamed speaker · 50:34
  • “Compute pie has to keep growing and it's actually growing quite impressively still.”
    Unnamed speaker · 52:42
  • “For big business, AI opened up a world of promise, but that world of promise turned into a world of pain. Costs spiraling, data trapped, security and governance risks multiplying, and ROI out of reach.”
    Unnamed speaker · 1:00:28
  • Wise 0:15–0:48
  • Hex 0:54–1:13
  • Bloomberg Media Studios 12:24–12:32
  • Underdog 12:32–13:37
  • ChatGPT 13:41–14:42
  • Chase Business 14:48–15:26
  • Chase Sapphire 33:56–34:20
  • Bloomberg 58:28–58:53
  • Underdog 59:28–59:58
  • Whisperflow 1:00:03–1:00:28
  • Boomi 1:00:33–1:01:00
  • Comcast Business 1:01:01–1:01:30

About this episode

Even before the US midterms, the AI trade was weakening. Just look at all the headlines from October in the hedge fund world https://www.bloomberg.com/news/articles/2026-11-06/crowded-hedge-fund-trades-are-unwinding-fast-after-ugly-october — it was one of the bloodiest periods the industry has faced in recent memory. Now, after the blue wave, things continue to look uncertain. So what's going to happen with the AI buildout now? And what about the big Anthropic IPO? Today's episode is a two-parter, one that examines both the hedge fund carnage of the last few weeks and the broader macro conditions we find ourselves in after the midterm elections. We speak with two of our Bloomberg News colleagues — Nishant Kumar, chief correspondent for hedge funds, and macro strategist Michael Ball — and they help lay out why October was a historic month for hedge funds and what they are paying attention to now as jitters from the AI trade continue to work their way through the market. Read more: Crowded Hedge Fund Trades Unwind Fast After Ugly October https://www.bloomberg.com/news/articles/2026-11-06/crowded-hedge-fund-trades-are-unwinding-fast-after-ugly-october Only Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox, plus unlimited access to the site and app. bloomberg.com/subscriptions/oddlots https://www.bloomberg.com/subscriptions/oddlots?in_source=oddlotspodcast See omnystudio.com/listener https://omnystudio.com/listener for privacy information.

Transcript

0:00
51:58

11,097 words · 7 speakers

Speaker names marked are inferred from speaking time and the show’s known hosts — they are not voice-verified.

Topics

  • Nvidia
  • Microsoft
  • Google
  • Alphabet
  • Meta
  • Amazon
  • Claude

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