Beta and Coskewness Pricing: Perspective from Probability Weighting

• 成果类型: Article
• 署名作者: Shi, Yun; Cui, Xiangyu; Zhou, Xun Yu
• 署名单位: East China Normal University; Shanghai Institute of International Finance & Economics; Shanghai University of Finance & Economics; Columbia University; Columbia University
• 刊物名称: OPERATIONS RESEARCH
• ISSN/ISSBN: 0030-364X
• DOI: 10.1287/opre.2022.2421
• 发表日期: 2023
• 页码: 776-790
• 关键词: Behavioral finance; probability weighting; rank-dependent utility; asset pricing; beta anomaly

摘要

The security market line is often flat or downward-sloping. We hypothesize that probability weighting plays a role and one ought to differentiate between periods in which agents overweight extreme events and those in which they underweight them. Overweighting inflates the probability of extremely bad events and demands greater compensation for beta risk, whereas underweighting does the opposite. Unconditional on probability weighting, these two effects offset each other, resulting in a flat or slightly negative return-beta relationship. Similarly, overweighting the tails enhances the negative relationship between return and coskewness, whereas underweighting reduces it. We derive a three-moment conditional capital asset pricing model for a market with rank-dependent utility agents to make these predictions, and we support our theory through an extensive empirical study.