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Journal of Financial and Quantitative Analysis Vol. 49 No. 1 2014

On the Relation between EGARCH Idiosyncratic Volatility and Expected Stock Returns

Hui Guo1; Haimanot Kassa2; Michael F. Ferguson1

1 University of Cincinnati · 2 Miami University

Abstract

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.

DOI
10.1017/s0022109014000027
Volume
49
Issue
1
Pages
271-296
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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