A low volatility portfolio aims to exploit the fact that, in the long run, low-risk stocks yield higher risk-adjusted returns than higher-risk stocks. But the low volatility portfolio’s lower beta – via the allocation effect – may drag down returns at times. We dissect the performance into...

We propose an adjustment of standard regression-based factor attribution to address a common issue: implementation constraints often mean that investors cannot realize the full potential of a factor strategy, but standard attribution analysis assumes that they can – leaving part of the...

Identifying economic regimes is useful in a world of time-varying risk premia. We apply regime switching models to common factors proxying for the macroeconomic regime and show that the ensuing regime factor is relevant in forecasting the equity risk premium. Moreover, the relevance of this...

Recent research suggests that machine learning models dominate traditional linear models in predicting cross-sectional stock returns. We confirm this finding when predicting one-month forward-looking returns based on a set of common stock characteristics, including predictors such as short-term...