In this paper, we tackle the Beta anomaly, namely the fact that high-Beta assets tend to be associated with lower risk-adjusted returns than low-Beta assets, and connect it to mutual funds' expectations. We present a model with two types of investors, mutual funds and hedge funds, with...

We extend the ex-ante mean-variance (SVIX) models of Martin (2017) and Martin-Wagner (2019) to a mean-variance-asymmetry (AVIX) framework for incorporating higher-moment and co-moment risk in asset pricing. AVIX is a risk-neutral measure of the left-tail asymmetries in return that corrects the...

Investors’ return on their portfolios, as proxied by the market, is a theoretically appealing but empirically unsuccessful asset pricing factor. In practice, many institutional investors choose to deviate substantially from the market portfolio. We propose a simple model in the spirit of...

Investors show different behaviour in falling markets and in rising markets. This paper demonstrates that the beta of individual stocks varies across the entire return distribution and that the variation depends on the frequency of the returns. While there is a symmetric u-shape increase for...

In a large online experiment, we study how investors assess the relationship between their portfolio and the stock market. Participants either select a portfolio of stocks or are randomly assigned a portfolio from a U.S. stock market index. They state their portfolio return expectations...

We propose a proxy for a climate risk factor, the pollutive-minus-clean (PMC) portfolio, which captures differences in returns to firms that have high versus low corporate emissions. By regressing individual stock returns on the PMC factor, we obtain estimates of asset-level climate risk...

Researchers and practitioners employ a variety of time-series processes to forecast betas, using either short-memory models or implicitly imposing infinite memory. We find that both approaches are inadequate: beta factors show consistent long-memory properties. For the vast majority of stocks,...

The capital asset pricing model has failed to explain the effect of systematic risk (referred to as beta) on actual stock market returns. Accordingly, this study analyzes daily returns by splitting it into overnight and daytime returns. The study analysis empirically confirms a positive...

Firm fundamentals, in particular firm size, help explain variation in factor loadings (betas) for the market, size and value factor. Surprisingly, however, they are dominated in terms of explanatory power by an unobserved time-invariant component. This leads to surprisingly stable factor...

I present a model where competition in the asset management industry has positive and negative effects on fund performance. When funds have increasing (decreasing) returns to scale at the industry level, the flow-performance relation is concave (convex). Active funds outperform their benchmark...