Hedge Funds interview preparation

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100

Traced to a firm

39

Firms

16

Updated

September 2026

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All firmsMan Group10Balyasny Asset Management7Bridgewater Associates3DED.E. Shaw3Apollo Global Management2KKR2Oaktree Capital Management2Point722SCSquarepoint Capital2ACAQR Capital Management1BGBaupost Group1Coatue Management1HPS Investment Partners1Northern Trust1Viking Global Investors1Wolverine Trading1

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All topicsStrategy taxonomy8Stock pitch10Short selling6Portfolio construction8Risk and drawdown8Performance and alpha7Event-driven and merger arb8Distressed and credit5Fund structure and economics7Financing, NAV and operations6Compliance and research process5Quant and systematic6India and Category III AIFs5Career and fit11

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1. 032What is capacity, and how do you know a strategy is crowded?Portfolio constructionIntermediatesuperdayQuantitative hedge fundsMulti-manager platforms

   Say this

   Capacity is the amount of capital a strategy can run before its own trading destroys the edge. Crowding is the same problem caused by other people: too many funds holding the same positions, so the exit is narrow. Both show up as rising cost and correlated drawdowns rather than as a signal that stops predicting.

   Then walk it

   1. Capacity is a cost problem first. As size grows, each rebalance moves the price more, so realised return falls even though the signal is unchanged. The practical test is to plot expected alpha net of modelled market impact against AUM and find where it crosses zero.
   2. Turnover is the multiplier. A signal with a two-day holding period has a fraction of the capacity of the same signal held for three months, because you pay the impact many more times.
   3. Crowding measures I would actually look at: short interest and days to cover, 13F overlap across similar funds, the share of float held by hedge funds, borrow fees trending up, and the beta of a name to a hedge fund crowding basket.
   4. The tell in the return series is a change in the character of the drawdowns. Crowded strategies lose money in sharp, correlated, liquidity-driven air pockets rather than in slow grinds, because everyone is selling the same thing on the same day.
   5. Two reference episodes make it concrete. August 2007, when quant equity books unwound together, and the early 2021 squeeze on crowded pod shorts. In both cases the fundamental signal was fine and the positioning was not.
   6. The honest limitation: crowding data is late. 13Fs are stale by 45 days, and by the time overlap is measurable the trade is already crowded. So I treat it as a sizing input and a reason to prefer less obvious expressions, not as a timing tool.

   Where candidates lose it

   Treating capacity as purely a signal decay story. The binding constraint is almost always market impact and turnover, and the crowding half of the answer needs specific observables: days to cover, 13F overlap, borrow trend. Vague talk about 'too much money chasing alpha' will not survive a follow-up.

   Expect next

   • How would you estimate capacity for a signal you just built?
   • What happened in August 2007?
   • How would you position differently if you knew a trade was crowded?

Firm tags come from public, anonymous candidate reports on Wall Street Oasis: strong signal, not sworn testimony. Firms are named as the places a question was reported, not as partners of Fin Maverick. Answers are written for this page to show how to think out loud; they are not scripts to recite.