The alphas of beta and idiosyncratic volatility

被引：0

作者：

Poon, Percy ^{[1
]}

Yao, Tong ^{[2
]}

Zhang, Andrew ^{[1
]}

机构：

[1] Univ Nevada, Lee Business Sch, Las Vegas, NV 89154 USA

[2] Univ Iowa, Tippie Coll Business, Iowa City, IA USA

来源：

JOURNAL OF FINANCIAL MARKETS | 2022年 / 61卷

关键词：

Beta anomaly; Idiosyncratic volatility anomaly; Alpha; CROSS-SECTION; RISK; MARKET; STOCKS; EQUILIBRIUM; ANOMALIES; RETURNS; DEMAND;

D O I：

10.1016/j.finmar.2022.100720

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

We find that the relation between the idiosyncratic volatility (IVOL) anomaly and the beta anomaly is quite different at long horizons than at short horizons. At short horizons, neither anomaly can fully explain the other. At long horizons, the IVOL-alpha relation is explained by the beta-alpha relation. A long-window estimate of idiosyncratic volatility measure popularly used by the investment industry behaves more like beta than IVOL in predicting returns and alphas. Our findings suggest that the short-horizon and long-horizon low-risk effects are different and warrant different explanations.

引用

页数：20

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