The impact of trades on daily volatility

被引:140
作者
Avramov, Doron
Chordia, Tarun
Goyal, Amit
机构
[1] Emory Univ, Goizuela Business Sch, Atlanta, GA 30322 USA
[2] Univ Maryland, RH Smith Sch Business, College Pk, MD 20742 USA
关键词
D O I
10.1093/rfs/hhj027
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This article proposes a trading-based explanation for the asymmetric effect in daily volatility of individual stock returns. Previous studies propose two major hypotheses for this phenomenon: leverage effect and time-varying expected returns. However, leverage has no impact on asymmetric volatility at the daily frequency and, moreover, we observe asymmetric volatility for stocks with no leverage. Also, expected returns may vary with the business cycle, that is, at a lower than daily frequency. Trading activity of contrarian and herding investors has a robust effect on the relationship between daily volatility and lagged return. Consistent with the predictions of the rational expectation models, the non-informational liquidity-driven (herding) trades increase volatility following stock price declines, and the informed (contrarian) trades reduce volatility following stock price increases. The results are robust to different measures of volatility and trading activity.
引用
收藏
页码:1241 / 1277
页数:37
相关论文
共 48 条