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Aggregate Idiosyncratic Volatility

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  • Geert Bekaert
  • Robert J. Hodrick
  • Xiaoyan Zhang

Abstract

We examine aggregate idiosyncratic volatility in 23 developed equity markets, measured using various methodologies, and we find no evidence of upward trends when we extend the sample until 2008. Instead, idiosyncratic volatility appears to be well described by a stationary autoregressive process that occasionally switches into a higher-variance regime that has relatively short duration. We also document that idiosyncratic volatility is highly correlated across countries. Finally, we examine the determinants of the time-variation in idiosyncratic volatility. In most specifications, the bulk of idiosyncratic volatility can be explained by a growth opportunity proxy, total (U.S.) market volatility, and in most but not all specifications, the variance premium, a business cycle sensitive risk indicator.

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Bibliographic Info

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 16058.

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Date of creation: Jun 2010
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Publication status: published as Bekaert, Geert & Hodrick, Robert J. & Zhang, Xiaoyan, 2012. "Aggregate Idiosyncratic Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(06), pages 1155-1185, December.
Handle: RePEc:nbr:nberwo:16058

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Citations

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Cited by:
  1. Bernard Herskovic & Bryan T. Kelly & Hanno Lustig & Stijn Van Nieuwerburgh, 2014. "The Common Factor in Idiosyncratic Volatility: Quantitative Asset Pricing Implications," NBER Working Papers 20076, National Bureau of Economic Research, Inc.
  2. Rossi, Francesco, 2012. "U.K. cross-sectional equity data: The case for robust investability filters," MPRA Paper 43312, University Library of Munich, Germany, revised Nov 2012.
  3. 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.
  4. Vidal-García, Javier & Vidal, Marta, 2014. "Seasonality and idiosyncratic risk in mutual fund performance," European Journal of Operational Research, Elsevier, vol. 233(3), pages 613-624.
  5. Andre Lucas & Bernd Schwaab & Xin Zhang, 2013. "Measuring Credit Risk in a Large Banking System: Econometric Modeling and Empirics," Tinbergen Institute Discussion Papers 13-063/IV/DSF56, Tinbergen Institute, revised 30 May 2013.
  6. Söhnke M. Bartram & Gregory Brown & René M. Stulz, 2012. "Why Are U.S. Stocks More Volatile?," Journal of Finance, American Finance Association, vol. 67(4), pages 1329-1370, 08.
  7. Nartea, Gilbert V. & Wu, Ji, 2013. "Is there a volatility effect in the Hong Kong stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 119-135.
  8. 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.
  9. Kang, Namho & Kondor, Péter & Sadka, Ronnie, 2011. "Idiosyncratic Return Volatility in the Cross-Section of Stocks," CEPR Discussion Papers 8307, C.E.P.R. Discussion Papers.
  10. Anginer, Deniz & Demirguc-Kunt, Asli, 2011. "Has the global banking system become more fragile over time ?," Policy Research Working Paper Series 5849, The World Bank.
  11. John Cotter & Niall O'Sullivan & Francesco Rossi, 2014. "The Conditional Pricing of Systematic and Idiosyncratic Risk in the UK Equity Market," Working Papers 201403, Geary Institute, University College Dublin.

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