Does idiosyncratic volatility proxy for risk exposure?

We decompose aggregate market variance into an average correlation component and an average variance component. Only the latter commands a negative price of risk in the cross section of portfolios sorted by idiosyncratic volatility. Portfolios with high (low) idiosyncratic volatility relative to the...

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Main Authors: Petkova, Ralitsa, Chen, Zhanhui
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/98065
http://hdl.handle.net/10220/12190
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-980652023-05-19T06:44:41Z Does idiosyncratic volatility proxy for risk exposure? Petkova, Ralitsa Chen, Zhanhui Nanyang Business School We decompose aggregate market variance into an average correlation component and an average variance component. Only the latter commands a negative price of risk in the cross section of portfolios sorted by idiosyncratic volatility. Portfolios with high (low) idiosyncratic volatility relative to the Fama-French (1993) model have positive (negative) exposures to innovations in average stock variance and therefore lower (higher) expected returns. These two findings explain the idiosyncratic volatility puzzle of Ang et al. (2006, 2009). The factor related to innovations in average variance also reduces the pricing errors of book-to-market and momentum portfolios relative to the Fama-French (1993) model. 2013-07-25T04:02:23Z 2019-12-06T19:50:13Z 2013-07-25T04:02:23Z 2019-12-06T19:50:13Z 2012 2012 Journal Article Chen, Z.,& Petkova, R. (2012). Does Idiosyncratic Volatility Proxy for Risk Exposure? Review of Financial Studies, 25(9), 2745-2787. https://hdl.handle.net/10356/98065 http://hdl.handle.net/10220/12190 10.1093/rfs/hhs084 en Review of Financial Studies © 2012 The Author. Published by Oxford University Press on behalf of The Society for Financial Studies.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
description We decompose aggregate market variance into an average correlation component and an average variance component. Only the latter commands a negative price of risk in the cross section of portfolios sorted by idiosyncratic volatility. Portfolios with high (low) idiosyncratic volatility relative to the Fama-French (1993) model have positive (negative) exposures to innovations in average stock variance and therefore lower (higher) expected returns. These two findings explain the idiosyncratic volatility puzzle of Ang et al. (2006, 2009). The factor related to innovations in average variance also reduces the pricing errors of book-to-market and momentum portfolios relative to the Fama-French (1993) model.
author2 Nanyang Business School
author_facet Nanyang Business School
Petkova, Ralitsa
Chen, Zhanhui
format Article
author Petkova, Ralitsa
Chen, Zhanhui
spellingShingle Petkova, Ralitsa
Chen, Zhanhui
Does idiosyncratic volatility proxy for risk exposure?
author_sort Petkova, Ralitsa
title Does idiosyncratic volatility proxy for risk exposure?
title_short Does idiosyncratic volatility proxy for risk exposure?
title_full Does idiosyncratic volatility proxy for risk exposure?
title_fullStr Does idiosyncratic volatility proxy for risk exposure?
title_full_unstemmed Does idiosyncratic volatility proxy for risk exposure?
title_sort does idiosyncratic volatility proxy for risk exposure?
publishDate 2013
url https://hdl.handle.net/10356/98065
http://hdl.handle.net/10220/12190
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