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Journal Article
Fact, Fiction, and Factor Investing
December 22, 2022
Factor investing has been around for several decades, backed by an enormous body of literature, and yet it is still surrounded by much confusion and debate. We examine many of the claims about factor investing, referencing the academic literature and performing simple, yet powerful, analysis to address them.
Working Paper
Pricing Without Mispricing
July 16, 2021
We offer a novel test of whether an asset pricing model describes expected returns in the absence of mispricing. Our test assumes such a model assigns zero alpha to investment strategies using decade-old information. Prominent multifactor models do not satisfy this condition – while multifactor betas help capture current expected returns on mispriced stocks, persistence in those betas distorts the stocks' implied expected returns after prices correct.
Working Paper
What Can Betting Markets Tell Us About Investor Preferences and Beliefs? Implications for Low Risk Anomalies
June 30, 2021
We relate the low risk anomaly in financial markets to the Favorite-Longshot Bias in betting markets and provide novel evidence to both anomalies. Synthesizing the evidence, we study the joint implications from the two settings for a unifying explanation. Rational theories of risk-averse investors with homogeneous beliefs cannot explain the cross-sectional relationship between diversifiable risk and return in betting markets. Rather, we appeal to models of non-traditional preferences or heterogeneous beliefs.
Working Paper
What Can Betting Markets Tell Us About Investor Preferences and Beliefs? Implications for Low Risk Anomalies
May 13, 2021
We relate the low risk anomaly in financial markets to the Favorite-Longshot Bias in betting markets and provide novel evidence to both anomalies. Synthesizing the evidence, we study the joint implications from the two settings for a unifying explanation. Rational theories of risk-averse investors with homogeneous beliefs cannot explain the cross-sectional relationship between diversifiable risk and return in betting markets. Rather, we appeal to models of non-traditional preferences or heterogeneous beliefs.
Working Paper
Understanding Momentum and Reversals
June 9, 2020
Stock momentum, long-term reversal, and other past return characteristics that predict future returns also predict future realized betas, suggesting these characteristics capture time-varying risk compensation.
Journal Article
Value and Interest Rates: Are Rates to Blame for Value’s Torments?
May 22, 2020
Some have blamed the interest rate environment for value stocks’ underperformance of growth stocks from 2017 to early 2020, as well as the stretch of lackluster performance for some value factors since Global Financial Crisis. We find the performance of value is not easily assessed based on the interest rate environment, and that factor timing strategies based on interest rate-related signals are likely to perform poorly.
Working Paper
Beyond Basis Basics: Leverage Demand and Deviations from the Law of One Price
February 7, 2020
Bases are driven by intermediaries’ cost of capital and the amount of leverage demand for an asset. Focusing on leverage demand, we find bases negatively predict futures and spot market returns with the same sign in both global equities and currencies.
Journal Article
How Do Factor Premia Vary Over Time? A Century of Evidence
July 2, 2019
We examine four prominent factor premia – value, momentum, carry, and defensive – over a century from six asset classes. The results offer support for time-varying risk premia models with important implications for theory seeking to explain the sources of factor returns.
Journal Article
Can Machines "Learn" Finance?
June 7, 2019
Can Machines “Learn” Finance?” was named the winner of the 2020 Harry M. Markowitz Award. Machine learning for asset management faces a unique set of challenges that differ markedly from other domains where machine learning has excelled. We discuss a variety of beneficial use cases and potential pitfalls for machine learning in asset management, and emphasize the importance of economic theory and human expertise for achieving success through financial machine learning.
Working Paper
Trading Costs
August 23, 2018
Using live trade data from a large institutional money manager over a 19-year period, we find actual trading costs to be an order of magnitude smaller than previous studies suggest.