What Can Betting Markets Tell Us About Investor Preferences and Beliefs? Implications for Low Risk Anomalies

82 Pages Posted: 17 May 2021

See all articles by Tobias J. Moskowitz

Tobias J. Moskowitz

Yale University, Yale SOM; AQR Capital; National Bureau of Economic Research (NBER)

Kaushik Vasudevan

Yale University

Date Written: May 13, 2021

Abstract

An empirical puzzle in financial markets, known as the low-risk anomaly, is that riskier assets earn lower risk-adjusted returns than less risky assets. Theories for this phenomenon focus either on market frictions, such as leverage costs, or non-traditional preferences for lottery-like payoffs. We relate the low risk anomaly to the Favorite-Longshot Bias in betting markets, where returns to betting on riskier "longshots" are lower than returns to betting on "favorites," 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. We find that a model with reference-dependent preferences, featuring probability weighting and diminishing sensitivity, two features of Cumulative Prospect Theory, best fits the data, and is able to capture the choice and the amount to bet. Calibrated parameter values for probability weighting and diminishing sensitivity that capture financial markets facts can simultaneously explain the betting market facts. However, explaining the choice to bet is at odds with loss-aversion, a feature of Cumulative Prospect Theory often used in financial markets applications.

Suggested Citation

Moskowitz, Tobias J. and Vasudevan, Kaushik, What Can Betting Markets Tell Us About Investor Preferences and Beliefs? Implications for Low Risk Anomalies (May 13, 2021). Available at SSRN: https://ssrn.com/abstract=3845505 or http://dx.doi.org/10.2139/ssrn.3845505

Tobias J. Moskowitz

Yale University, Yale SOM ( email )

New Haven, CT 06520
United States

HOME PAGE: http://som.yale.edu/tobias-j-moskowitz

AQR Capital ( email )

Greenwich, CT
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

Kaushik Vasudevan (Contact Author)

Yale University ( email )

165 Whitney Avenue
New Haven, CT 06511
United States

HOME PAGE: http://www.kvasudevan.com

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