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Relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns
Authors:Hui Guo  Robert Savickas
Institution:1. Department of Finance and Real Estate, College of Business, University of Cincinnati, 418 Carl H. Lindner Hall, P.O. Box 210195, Cincinnati, Ohio 45221-0195, United States;2. Department of Finance, School of Business, George Washington University, Funger Hall, Suite 501R, 2201 G Street, N.W., Washington, DC 20052, United States
Abstract:Consistent with the post-1962 US evidence by Ang et al. Ang, A., Hodrick, R., Xing Y., Zhang, X., 2006. The cross-section of volatility and expected returns. Journal of Finance 51, 259–299], we find that stocks with high idiosyncratic variance (IV) have low CAPM-adjusted expected returns in both pre-1962 US and modern G7 data. We also test in three ways the conjecture that IV is a proxy of systematic risk. First, the return difference between low and high IV stocks – that we dub as IVF – is a priced factor in the cross-section of stock returns. Second, loadings on lagged market variance and lagged average IV account for a significant portion of variation in average returns on portfolios sorted by IV. Third, the variance of IVF correlates closely with average IV, and the two variables have similar explanatory power for the time-series and cross-sectional stock returns.
Keywords:G1
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