This paper investigates the relationship between upside potential and future hedge fund returns. We measure upside potential based on the maximum monthly returns of hedge funds (MAX) over a fixed time interval, and show that MAX successfully predicts cross-sectional differences in future fund returns. Hedge funds with strong upside potential generate 0.70% per month higher average returns than funds with weak upside potential. After controlling for alternative risk and performance measures, funds’ market-timing ability, and a large set of fund characteristics, the positive link between MAX and future returns remains highly significant. We conclude that MAX, as a simple proxy for realized noln-normalities in hedge funds, offers incremental information on future hedge fund returns above and beyond provided by standard risk, performance, and market-timing measures.

We survey institutional investors about their role in capital structure decisions and views on capital structure theories. Over 82% of investors believe they influence corporate capital structure decisions, especially for smaller, younger, and more financially constrained firms. Unlike corporate managers, investors consider agency costs of free cash flow important drivers of capital structure. Investors' responses also support pecking order and market timing theories. Most investors find financial constraints important, with components of the Kaplan–Zingales and Whited–Wu indexes dominating other proxies. Overall, our findings suggest a first-order impact of investor preferences on capital structure decisions.