Xing Han
Investor Overconfidence and the Security Market Line: New Evidence from China
Han, Xing; Li, Kai; Li, Youwei
Abstract
This paper documents a highly downward-sloping security market line (SML) in China, which is more puzzling than the typical “flattened” SML in the US, and does not reconcile with existing theories of the low-beta anomaly. We show that investor overconfidence offers some promises in resolving the puzzle in China: In the time-series dimension, the slope of the SML becomes more “inverted” when investors get more overconfident. This dynamic overconfidence effect is intensified with biased self-attribution. As a general symptom of overconfidence in the cross section, high-beta stocks are also the mostly heavily traded. After accounting for trading volume, there is no longer the low-beta anomaly at both the firm and portfolio levels. Mutual fund evidence reinforces the view that institutional investors actively exploit the portfolio implications of a downward-sloping SML by shying away from high-beta stocks and betting on low-beta stocks for superior performance.
Citation
Han, X., Li, K., & Li, Y. (2020). Investor Overconfidence and the Security Market Line: New Evidence from China. Journal of Economic Dynamics and Control, 117, Article 103961. https://doi.org/10.1016/j.jedc.2020.103961
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 17, 2020 |
Online Publication Date | Jun 20, 2020 |
Publication Date | 2020-08 |
Deposit Date | Jun 22, 2020 |
Publicly Available Date | Jun 21, 2022 |
Journal | Journal of Economic Dynamics and Control |
Print ISSN | 0165-1889 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 117 |
Article Number | 103961 |
DOI | https://doi.org/10.1016/j.jedc.2020.103961 |
Keywords | Security market line; Beta anomaly; Betting against beta; Overconfidence; Mutual fund |
Public URL | https://hull-repository.worktribe.com/output/3525151 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0165188920301299?via%3Dihub |
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Copyright Statement
©2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
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