On the Relation between EGARCH Idiosyncratic Volatility and Expected Stock Returns

被引:52
作者
Guo, Hui [1 ]
Kassa, Haimanot [2 ]
Ferguson, Michael F. [1 ]
机构
[1] Univ Cincinnati, Lindner Coll Business, Cincinnati, OH 45221 USA
[2] Miami Univ, Farmer Sch Business, Oxford, OH 45056 USA
关键词
CROSS-SECTION; MARKET; RISK; EQUILIBRIUM; INFORMATION; PORTFOLIO;
D O I
10.1017/S0022109014000027
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
A spurious positive relation between exponential generalized autoregressive conditional heteroskedasticity (EGARCH) estimates of expected month t idiosyncratic volatility and month t stock returns arises when the month t return is included in estimation of model parameters. We illustrate via simulations that this look-ahead bias is problematic for empirically observed degrees of stock return skewness and typical monthly return time series lengths. Moreover, the empirical idiosyncratic risk-return relation becomes negligible when expected month t idiosyncratic volatility is estimated using returns only up to month t - 1.
引用
收藏
页码:271 / 296
页数:26
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