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High idiosyncratic volatility and low returns: International and further U.S. evidence

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Author Info
Ang, Andrew
Hodrick, Robert J.
Xing, Yuhang
Zhang, Xiaoyan

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Abstract

Stocks with recent past high idiosyncratic volatility have low future average returns around the world. Across 23 developed markets, the difference in average returns between the extreme quintile portfolios sorted on idiosyncratic volatility is -1.31% per month, after controlling for world market, size, and value factors. The effect is individually significant in each G7 country. In the United States, we rule out explanations based on trading frictions, information dissemination, and higher moments. There is strong covariation in the low returns to high-idiosyncratic-volatility stocks across countries, suggesting that broad, not easily diversifiable factors lie behind this phenomenon.

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File URL: http://www.sciencedirect.com/science/article/B6VBX-4TP49S7-1/2/8e873c4f6eb5bc5c22a75563f9a43ec1
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Publisher Info
Article provided by Elsevier in its journal Journal of Financial Economics.

Volume (Year): 91 (2009)
Issue (Month): 1 (January)
Pages: 1-23
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Handle: RePEc:eee:jfinec:v:91:y:2009:i:1:p:1-23

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Web page: http://www.elsevier.com/locate/inca/505576

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Keywords: Cross-section of stock returns Predictability Factor model;

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References listed on IDEAS
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Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Hui Guo & Robert Savickas, 2006. "The relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns in G7 countries," Working Papers 2006-036, Federal Reserve Bank of St. Louis. [Downloadable!]
  2. Hui Guo & Robert Savickas, 2006. "Aggregate idiosyncratic volatility in G7 countries," Working Papers 2004-027, Federal Reserve Bank of St. Louis. [Downloadable!]
  3. Gregory Connor & Matthias Hagmann & Oliver Linton, 2007. "Efficient Estimation of a SemiparametricCharacteristic-Based Factor Model of Security Returns," STICERD - Econometrics Paper Series /2007/524, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
    Other versions:
  4. Doran, James & Jiang, Danling & Peterson, David, 2007. "Short-Sale Constraints and the Idiosyncratic Volatility Puzzle: An Event Study Approach," MPRA Paper 4995, University Library of Munich, Germany, revised 02 Feb 2009. [Downloadable!]
  5. Schmeling, Maik, 2008. "Investor sentiment and stock returns: Some international evidence," Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover dp-407, Universität Hannover, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
  6. Turan G. Bali & Nusret Cakici & Robert F. Whitelaw, 2009. "Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns," NBER Working Papers 14804, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  7. Tim Bollerslev & Tzuo Hao & George Tauchen, 2008. "Expected Stock Returns and Variance Risk Premia," CREATES Research Papers 2008-48, School of Economics and Management, University of Aarhus. [Downloadable!]
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