We compare the performance of time-series (TS) and cross-sectional (CS) strategies based on past returns. While CS strategies are zero-net investment long/short strategies, TS strategies take on a time-varying net-long investment in risky assets. For individual stocks, the difference between the...

We provide a comprehensive study on the cross-sectional predictability of corporate bond returns using big data and machine learning. We examine whether a large set of equity and bond characteristics drive the expected returns on corporate bonds. Using either set of characteristics, we find that...

We present a simulation-based method for solving discrete-time portfolio choice problems involving non-standard preferences, a large number of assets with arbitrary return distribution, and, most importantly, a large number of state variables with potentially path-dependent or non-stationary...

We present a simulation-based method for solving discrete-time portfolio choice problems involving non-standard preferences, a large number of assets with arbitrary return distribution, and, most importantly, a large number of state variables with potentially path-dependent or non-stationary...

In the U.S., momentum portfolios formed on returns from 12 to seven months prior to the current month deliver higher returns than momentum portfolios formed from six to two months prior, suggesting an “echo” in returns (Novy-Marx (2012)). In 37 countries not including the U.S., there is no...

We survey 218 institutional investors from 22 countries representing over $4.1 trillion in AUM regarding their practices in delegating assets to investment managers. Holding periods for investment managers are surprisingly long: 68%, 65%, and 42% of respondents report average holding periods of...