We find that hedge funds’ ETF option positions predict cross-sectional differences in the future volatility of underlying ETFs. The predictive power is strongest for straddle positions and non-equity ETFs. A tracking portfolio of straddles based on funds’ straddle positions earns quarterly...

We explore whether style investing by mutual fund investors contributes to return comovement of stocks in the same style, classified by market capitalization and book-to-market ratio. We find that a stock’s comovement with other stocks in its style is significantly greater when this stock is...

This study investigates the impact of portfolio disclosure on hedge fund performance. Using a regression discontinuity design, I investigate the effect of the disclosure requirements that take effect when an investment company's assets exceed $100 million; when that occurs, a fund is required by...

This paper analyzes retirement timing decisions of DC pension plan members. In a first step, a model of optimal retirement timing decisions is proposed which incorporates the optimal time to annuitize the DC pension wealth. An individual obtains utility from leisure, labor income before...

We study a sample of Form 13F filings where fund advisors seek confidential treatment for some, or all, of their 13(f)-reportable positions. Consistent with the hypothesis that managers seek confidentiality to protect proprietary information we find that confidential positions earn positive and...

We study the effects of imposing repeated short-horizon regulatory constraints on long-term investors. We show that Value-at-Risk and Expected Shortfall constraints, when imposed dynamically, lead to similar optimal portfolios and wealth distributions. We also show that, in utility terms, the...

Regulators often set value-at-risk (VaR) constraints to limit the portfolio risk of institutional investors. For some investors, notably pension funds, the VaR constraint is enforced over a horizon which is significantly shorter than the investment horizon of the investor. Our paper aims to...