We highlight herding of investors as one major risk factor that is typically ignored in statistical approaches to portfolio modelling and risk management. Our survey focuses on smart-beta investing where such methods and investor herding seem particularly relevant but its negative effects have...

Modern capital markets are subject to many interventions and regulations, some of which curtail the implementation of specific trading strategies in a market. While we understand much of these regulations’ individual effects, the picture is less clear about their joint effects. This paper...

Using survey forecasts, we find that systematic errors in expectations of long-term inflation and short-term nominal earnings growth are the main driver of prices and return puzzles for bonds and stocks. We demonstrate this by deriving and testing a single necessary and sufficient condition...

The Fama and French (2015) 5-factor model is commonly used to measure the performance of stock return portfolios. Importantly, we find that three of the Fama and French (2015) firm-level characteristics (i.e., size, BV/MV, and profitability) have no significant explanatory power in the...

On financial markets, information is a highly demanded resource and processing it to (potentially) generate excess returns drives the activities of many market participants. Not surprisingly, this high relevance of information in markets culminates in a high research interest focusing on how...

Much attention is paid to portfolio variance, but skewness is also important for both portfolio design and asset pricing. We revisit the empirical research on systematic skewness that we initiated 25 years ago. In an out-of-sample test, we find that the risk premium associated with skewness is...

Retail order imbalance positively correlates with returns in the days following trades. However, in aggregate, retail investor trades lose money over these same periods. Why? 1) While order imbalance tests value or equally weight stocks, retail purchases are concentrated in stocks earning large...

We propose a novel procedure to identify the marginal stock market investor's beliefs from observed asset prices. Our approach recovers price-consistent beliefs, i.e. the distribution of macro and financial variables that satisfy the conditional Euler equations, given a cross-section of assets,...

This paper examines how the largest stock market of the world, the U.S., and particularly the S&P500 index, reacted during the COVID-19 outbreak (02.01.2020-30.04.2020). Using simple financial and corporate analysis (adopting Constant Growth Model) procedures for our theoretical framework, we...

Post-earnings-announcement drift (PEAD) is one of the most solidly documented asset pricing anomalies. We use the controlled conditions of an experimental lab to investigate whether earnings autocorrelation is the driving cause of this anomaly. We observe PEAD in settings with uncorrelated and...