This paper studies operational risk in the hedge fund industry using due diligence reports. Many funds suffer from operational problems, including limited disclosure of legal and regulatory issues. We use direct evidence of inadequate or failed internal processes to derive a canonical correlation-based measure for operational risk consistent with the Basel definition. It controls for selection bias using an extension of Heckman's (1979) procedure. Operational risk increases the likelihood of subsequent poor performance and fund disappearance, but does not influence investors’ return-chasing behavior. Our study emphasizes the importance of information verification in the context of financial intermediation.

We explore a new dimension of fund managers' timing ability by examining whether they can time market liquidity through adjusting their portfolios' market exposure as aggregate liquidity conditions change. Using a large sample of hedge funds, we find strong evidence of liquidity timing. A bootstrap analysis suggests that top-ranked liquidity timers cannot be attributed to pure luck. In out-of-sample tests, top liquidity timers outperform bottom timers by 4.0–5.5% annually on a risk-adjusted basis. We also find that it is important to distinguish liquidity timing from liquidity reaction, which primarily relies on public information. Our results are robust to alternative explanations, hedge fund data biases, and the use of alternative timing models, risk factors, and liquidity measures. The findings highlight the importance of understanding and incorporating market liquidity conditions in investment decision making.