Robert C. Merton is the School of Management Distinguished Professor of Finance at Massachusetts Institute of Technology, and the John and Natty McArthur University Professor Emeritus at Harvard University. Merton received the Alfred Nobel Memorial Prize in Economic Sciences in 1997 for a new...

This paper documents a significantly negative cross-sectional relation between left-tail risk and future returns on individual stocks trading in the U.S. and international countries. We provide a behavioral explanation to this anomaly based on the idea that investors underestimate the...

We quantify disagreement about the economy with ex-ante measures of divergence of opinion among economic forecasters and investigate if economic disagreement has a significant impact on the cross-sectional pricing of individual stocks. We find a significant disagreement premium of 7.2% per...

Frazzini and Pedersen (2014) document that a betting against beta strategy that takes long positions in low-beta stocks and short positions in high-beta stocks generates a large abnormal return of 6.6% per year and they attribute this phenomenon to funding liquidity risk. We demonstrate that...

While it is established that idiosyncratic volatility has a negative impact on the cross-section of future stock returns, the relationship between idiosyncratic volatility and future hedge fund returns is largely unexplored. We document that hedge funds with high idiosyncratic volatility...

This paper reexamines the relation between various downside risk measures and future equity returns in a global context that spans 26 developed markets. We find that there is no significantly positive relation between systematic downside risk and the cross-section of equity returns, and in fact,...

This paper investigates hedge funds' ability to time industry-specific returns and shows that funds' timing ability in the manufacturing industry improves their future performance, probability of survival, and ability to attract more capital. The results indicate that best industry-timing hedge...

We propose a statistical model of differences in beliefs in which heterogeneous investors are represented as different machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs that are available to all investors. We measure...

Hedge funds' extensive use of derivatives, short-selling, and leverage and their dynamic trading strategies create significant non-normalities in their return distributions. Hence, the traditional performance measures fail to provide an accurate characterization of the relative strength of hedge...

Hedge funds' extensive use of derivatives, short-selling, and leverage and their dynamic trading strategies create significant non-normalities in their return distributions. Hence, the traditional performance measures fail to provide an accurate characterization of the relative strength of hedge...