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Risk components in UK cross-sectional equities: evidence of regimes and overstated parametric estimates

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  • Rossi, Francesco

Abstract

We study the behavior and interaction of systematic and idiosyncratic components of risk in a cross-section of U.K. stocks. We find no clear evidence of a trend in any component of total risk, but we document different “regimes” in the behavior of each component of total risk, in their correlation patterns and thus in their contribution to aggregate risk. Comparing parametric and non-parametric estimates of residual risk, we find the former to significantly overstate diversifiable risk, opposite to some previous findings for the U.S. market, with the difference being very large especially when we include an industry component.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:38682
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    References listed on IDEAS

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    1. Turan G. Bali & Nusret Cakici & Xuemin (Sterling) Yan & Zhe Zhang, 2005. "Does Idiosyncratic Risk Really Matter?," Journal of Finance, American Finance Association, vol. 60(2), pages 905-929, April.
    2. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    3. Larry G. Epstein & Martin Schneider, 2008. "Ambiguity, Information Quality, and Asset Pricing," Journal of Finance, American Finance Association, vol. 63(1), pages 197-228, February.
    4. Yexiao Xu & Burton G. Malkiel, 2003. "Investigating the Behavior of Idiosyncratic Volatility," The Journal of Business, University of Chicago Press, vol. 76(4), pages 613-644, October.
    5. Geert Bekaert & Campbell R. Harvey & Christian Lundblad, 2007. "Liquidity and Expected Returns: Lessons from Emerging Markets," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1783-1831, November.
    6. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    7. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    8. Eugene F. Fama, 1968. "Risk, Return And Equilibrium: Some Clarifying Comments," Journal of Finance, American Finance Association, vol. 23(1), pages 29-40, March.
    9. K. J. Martijn Cremers & Jianping Mei, 2007. "Turning over Turnover," The Review of Financial Studies, Society for Financial Studies, vol. 20(6), pages 1749-1782, November.
    10. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    11. Söhnke M. Bartram & Gregory Brown & René M. Stulz, 2009. "Why Do Foreign Firms Have Less Idiosyncratic Risk than U.S. Firms?," NBER Working Papers 14931, National Bureau of Economic Research, Inc.
    12. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    13. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    14. Yasushi Hamao & Jianping Mei & Yexiao Xu, 2003. "Idiosyncratic Risk and the Creative Destruction in Japan," NBER Working Papers 9642, National Bureau of Economic Research, Inc.
    15. Matteo P. Arena & K. Stephen Haggard & Xuemin (Sterling) Yan, 2008. "Price Momentum and Idiosyncratic Volatility," The Financial Review, Eastern Finance Association, vol. 43(2), pages 159-190, May.
    16. Li, Xiafei & Miffre, Joëlle & Brooks, Chris & O'Sullivan, Niall, 2008. "Momentum profits and time-varying unsystematic risk," Journal of Banking & Finance, Elsevier, vol. 32(4), pages 541-558, April.
    17. Narasimhan Jegadeesh & Sheridan Titman, 2001. "Profitability of Momentum Strategies: An Evaluation of Alternative Explanations," Journal of Finance, American Finance Association, vol. 56(2), pages 699-720, April.
    18. Fu, Fangjian, 2009. "Idiosyncratic risk and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 91(1), pages 24-37, January.
    19. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    20. Kris Jacobs & Kevin Q. Wang, 2004. "Idiosyncratic Consumption Risk and the Cross Section of Asset Returns," Journal of Finance, American Finance Association, vol. 59(5), pages 2211-2252, October.
    21. Hui Guo & Robert Savickas, 2008. "Average Idiosyncratic Volatility in G7 Countries," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1259-1296, May.
    22. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    23. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
    24. Michael W. Brandt & Alon Brav & John R. Graham & Alok Kumar, 2010. "The Idiosyncratic Volatility Puzzle: Time Trend or Speculative Episodes?," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 863-899, February.
    25. Wei, Steven X. & Zhang, Chu, 2005. "Idiosyncratic risk does not matter: A re-examination of the relationship between average returns and average volatilities," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 603-621, March.
    26. Ozgur S. Ince & R. Burt Porter, 2006. "Individual Equity Return Data From Thomson Datastream: Handle With Care!," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 29(4), pages 463-479, December.
    27. 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.
    28. Bruce N. Lehmann, 1992. "Empirical Testing of Asset Pricing Models," NBER Working Papers 4043, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Idiosyncratic risk; residual risk; systematic risk; non parametric estimates; cross-sectional equities; cross-sectional risk; equities; U.K.; industry risk; correlation; regimes; factor models;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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