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Average Idiosyncratic Volatility in�G7�Countries

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  • Hui Guo
  • Robert Savickas
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Abstract

We argue that changes in average idiosyncratic volatility provide a proxy for changes in the investment opportunity set and that this proxy is closely related to the book-to-market factor. We test this idea in two ways using G7 countries' data. First, we show that idiosyncratic volatility has statistically significant predictive power for aggregate stock market returns over time. Second, we show that idiosyncratic volatility performs just as well as the book-to-market factor in explaining the cross section of stock returns. Our results suggest that the hedge against changes in investment opportunities is an important determinant of asset prices. The Author 2008. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org, Oxford University Press.

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Bibliographic Info

Article provided by Society for Financial Studies in its journal The Review of Financial Studies.

Volume (Year): 21 (2008)
Issue (Month): 3 (May)
Pages: 1259-1296

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Handle: RePEc:oup:rfinst:v:21:y:2008:i:3:p:1259-1296

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Cited by:
  1. Guo, Hui & Savickas, Robert, 2010. "Relation between time-series and cross-sectional effects of idiosyncratic variance on stock returns," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1637-1649, July.
  2. Maio, Paulo & Santa-Clara, Pedro, 2012. "Multifactor models and their consistency with the ICAPM," Journal of Financial Economics, Elsevier, vol. 106(3), pages 586-613.
  3. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
  4. Lee, Dong Wook & Liu, Mark H., 2011. "Does more information in stock price lead to greater or smaller idiosyncratic return volatility?," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1563-1580, June.
  5. Miralles-Marcelo, José Luis & Miralles-Quirós, María del Mar & Miralles-Quirós, José Luis, 2012. "Asset pricing with idiosyncratic risk: The Spanish case," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 261-271.
  6. Wang, Zijun, 2010. "Dynamics and causality in industry-specific volatility," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1688-1699, July.
  7. Rossi, Francesco, 2011. "U.K. cross-sectional equity data: do not trust the dataset! The case for robust investability filters," MPRA Paper 38303, University Library of Munich, Germany, revised Nov 2011.
  8. Nartea, Gilbert V. & Wu, Ji & Liu, Zhentao, 2013. "Does idiosyncratic volatility matter in emerging markets? Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 137-160.
  9. Rossi, Francesco, 2011. "Risk components in UK cross-sectional equities: evidence of regimes and overstated parametric estimates," MPRA Paper 38682, University Library of Munich, Germany, revised 31 Mar 2012.
  10. Brockman, Paul & Liebenberg, Ivonne & Schutte, Maria, 2010. "Comovement, information production, and the business cycle," Journal of Financial Economics, Elsevier, vol. 97(1), pages 107-129, July.
  11. Gao, Bo & Ren, Ruo-en, 2013. "The topology of a causal network for the Chinese financial system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2965-2976.
  12. Mu-Shun Wang, 2013. "Idiosyncratic Volatility and the Expected Stock Returns for Exploring the Relationship with Panel Threshold Regression," Asia-Pacific Financial Markets, Springer, vol. 20(2), pages 113-129, May.
  13. Andrikopoulos, Andreas & Angelidis, Timotheos & Skintzi, Vasiliki, 2012. "Illiquidity, return and risk in G7 stock markets: interdependencies and spillovers," MPRA Paper 40003, University Library of Munich, Germany.
  14. Bakshi, Gurdip & Panayotov, George, 2013. "Predictability of currency carry trades and asset pricing implications," Journal of Financial Economics, Elsevier, vol. 110(1), pages 139-163.

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