套利
繁荣
杠杆(统计)
经济
金融经济学
BETA(编程语言)
货币经济学
融资流动性
风险套利
市场流动性
业务
财务
资本资产定价模型
套利定价理论
工程类
流动性风险
计算机科学
机器学习
环境工程
程序设计语言
作者
Shiyang Huang,Xin Liu,Dong Lou,Christopher Polk
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2024-08-01
卷期号:70 (8): 5367-5385
被引量:10
标识
DOI:10.1287/mnsc.2023.4929
摘要
Low-beta stocks deliver high average returns and low risk relative to high-beta stocks, an opportunity for professional investors to “arbitrage” away. We argue that beta-arbitrage activity generates booms and busts in the strategy’s abnormal trading profits. In times of low arbitrage activity, the beta-arbitrage strategy exhibits delayed correction, taking up to three years for abnormal returns to be realized. In contrast, when arbitrage activity is high, prices overshoot and then revert in the long run. We document a novel positive-feedback channel operating through firm leverage that facilitates these boom-and-bust cycles. This paper was accepted by Lukas Schmid, finance. Funding: This work is financially supported by National Natural Science Foundation of China [NSFC Grant Number 72303226] and the Key Program of National Natural Science Foundation of China [NSFC Grant Number 72233003]. Supplemental Material: The internet appendix and data are available at https://doi.org/10.1287/mnsc.2023.4929 .
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