Hedge funds are one of the most heavily tested sections in the CAIA Level I exam, and one of the most inconsistently understood. Candidates who work in the industry often assume familiarity with strategies they've heard discussed for years translates into exam-ready knowledge. It frequently doesn't.
This post covers hedge fund strategies, structures, and performance measurement at the depth the exam tests. For a broader orientation to the exam before going further, start with our complete CAIA Level I candidate guide.
The CAIA Level I hedge fund section has three distinct layers. Candidates who focus only on the first tend to underperform on questions that probe the second and third.
Layer one: strategy identification. What is long/short equity, what is global macro, what is relative value. Most candidates feel comfortable here.
Layer two: comparative reasoning. Which strategy is best positioned in a specific market environment? Which would perform well when equity volatility spikes? This is where surface familiarity starts to break down.
Layer three: mechanics and measurement. How are performance fees calculated? What does a high-water mark provision actually do? Why does negative skewness in return distributions make the Sharpe ratio a misleading metric? This layer is the most calculable and the most frequently missed.
The most prevalent hedge fund strategy by assets under management. Long/short equity managers take long positions in equities they believe are undervalued and short positions in equities they believe are overvalued. The critical variable is net exposure — the difference between the long book and the short book as a percentage of the total portfolio.
A market-neutral fund targets zero net exposure, meaning returns are driven almost entirely by the relative performance of longs versus shorts. A net-long fund has meaningful equity beta alongside its alpha exposure. The exam tests whether you understand the difference between these return profiles. Also understand the asymmetry of short selling: a long position can lose 100% of its value, while a short position has theoretically unlimited loss potential.
Global macro managers form views on macroeconomic variables — interest rates, currency values, commodity prices, equity market direction, sovereign credit — and express those views through large, directional positions across asset classes and geographies.
The defining characteristic of global macro is flexibility. These funds operate with minimal constraints on geography, asset class, or instrument type. The exam often uses global macro as the benchmark strategy when asking about discretionary versus systematic approaches: discretionary macro managers make judgement-based decisions, systematic managers use rules-based models.
Event-driven strategies seek to profit from corporate events that create predictable price dislocations.
Merger arbitrage. When a company announces an acquisition, the target's share price typically rises toward the offer price but doesn't reach it, reflecting the risk that the deal fails. A merger arbitrage manager buys the target to capture the spread. Risk is deal failure, which typically causes the target's price to fall sharply.
Distressed investing. Buying the debt or equity of companies in or near financial distress. Return is driven by the outcome of the restructuring or bankruptcy process. Positions are illiquid and holding periods are long.
Special situations. A broader category covering spin-offs, restructurings, asset sales, and other corporate actions. Event-driven strategies share a common characteristic: their risk is more event-specific than market-directional.
Relative value strategies take offsetting positions in related securities and seek to profit from pricing anomalies.
Fixed income arbitrage. Exploiting mispricings between related fixed income instruments. Positions tend to be highly leveraged because the mispricings being exploited are small.
Convertible arbitrage. A convertible bond contains both a fixed income component and an embedded equity option. Convertible arbitrageurs typically buy the convertible and short the underlying equity, seeking to capture the mispricing between the theoretical value of the embedded option and its market price.
Volatility arbitrage. Trading on the difference between implied volatility and realised volatility.
The exam characteristic of relative value strategies is their tail risk profile: stable, modest returns in normal conditions, then sharp severe losses when historical relationships break down. These losses tend to be correlated across different relative value strategies simultaneously.
Managed futures funds — Commodity Trading Advisors — trade futures across asset classes, typically using systematic, trend-following approaches. The defining characteristic is their historically low or negative correlation with equity markets in periods of equity stress. When equities fall sharply, managed futures strategies that are short equities or long safe-haven assets tend to perform well.
The high-water mark provision prevents a manager from earning performance fees on the same gains twice. If a fund falls in value, the manager must recover the loss and bring the fund back above its previous peak before performance fees resume.
A fund that has suffered significant losses faces the high-water mark problem: the manager must generate substantial recovery returns before earning any performance fees. This can create incentives for a manager to close a fund and relaunch with a clean high-water mark rather than working through a deep drawdown.
Lock-up periods prevent investors from redeeming capital for a defined period after initial investment. Redemption notice periods require investors to notify the fund before the redemption date. Gates limit the total percentage of the fund that can be redeemed in any given period — protecting remaining investors from being disadvantaged by a large exit. Side pockets are segregated accounts used to hold illiquid or hard-to-value positions separately from the main fund.
Hedge fund returns are not normally distributed. They tend to exhibit two specific departures from normality:
Negative skewness means the return distribution has a longer left tail than right tail — losses are larger relative to the mean than gains are. Many hedge fund strategies that generate frequent, modest gains do so by accepting the risk of occasional severe losses. Merger arbitrage is a clear example.
Excess kurtosis means the distribution has more probability in its tails than a normal distribution predicts. Extreme outcomes occur more frequently than a normal distribution assumption would suggest.
Together, these properties mean the Sharpe ratio overstates the risk-adjusted attractiveness of many hedge fund strategies. The exam tests this concept directly and asks about alternative metrics — particularly the Sortino ratio and maximum drawdown — as complements to the Sharpe ratio.
Survivorship bias: hedge fund databases only include funds that still exist. Funds that closed — often after poor performance — are removed from the historical record, causing average reported returns to overstate actual investor experience.
Backfill bias: when a fund joins a database, it typically submits its full track record to date. Fund managers generally join databases after a period of strong performance, so the historical returns in the database are systematically populated with the track records of funds that performed well before joining. Both biases cause reported returns to be higher than actual investor experience. Know this clearly.
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Get access — $199 →For a full breakdown of how hedge funds fit within the broader CAIA Level I curriculum, see our topic-by-topic guide. For structuring your preparation across the full exam, see our study plan guide.