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Understanding industry betas

  • Baele, Lieven
  • Londono, Juan M.
Registered author(s):

    This paper models and explains the dynamics of market betas for 30 US industry portfolios between 1970 and 2009. We use DCC–MIDAS and kernel regression techniques as alternatives to the standard ex-post measures. We find betas to exhibit substantial persistence, time variation, ranking variability, and heterogeneity in their business cycle exposure. While we find only a limited amount of structural breaks in the betas of individual industries, we do identify a common structural break in March 1998. We propose two practical applications to understand the economic significance of these results. We find the cross-sectional dispersion in industry betas to be countercyclical and negatively related to future market returns. We also find DCC–MIDAS betas to outperform other beta measures in terms of limiting the downside risk and ex-post market exposure of a market-neutral minimum-variance strategy.

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    Article provided by Elsevier in its journal Journal of Empirical Finance.

    Volume (Year): 22 (2013)
    Issue (Month): C ()
    Pages: 30-51

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    Handle: RePEc:eee:empfin:v:22:y:2013:i:c:p:30-51
    Contact details of provider: Web page: http://www.elsevier.com/locate/jempfin

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    1. Joao Gomes & Leonid Kogan & Lu Zhang, 2003. "Equilibrium Cross Section of Returns," Journal of Political Economy, University of Chicago Press, vol. 111(4), pages 693-732, August.
    2. Matias Braun & Borja Larrain, 2004. "Finance and the Business Cycle: International, Inter-industry Evidence," Finance 0403001, EconWPA.
    3. Dennis Kristensen & Andrew Ang, 2009. "Testing Conditional Factor Models," CREATES Research Papers 2009-09, School of Economics and Management, University of Aarhus.
    4. Zhongjun Qu & Pierre Perron, 2007. "Estimating and Testing Structural Changes in Multivariate Regressions," Econometrica, Econometric Society, vol. 75(2), pages 459-502, 03.
    5. Stivers, Chris & Sun, Licheng, 2010. "Cross-Sectional Return Dispersion and Time Variation in Value and Momentum Premiums," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(04), pages 987-1014, August.
    6. Chernov, Mikhail & Gallant, A. Ronald & Ghysels, Eric & Tauchen, George, 2002. "Alternative Models for Stock Price Dynamic," Working Papers 02-03, Duke University, Department of Economics.
    7. Murray Carlson & Adlai Fisher & Ron Giammarino, 2004. "Corporate Investment and Asset Price Dynamics: Implications for the Cross-section of Returns," Journal of Finance, American Finance Association, vol. 59(6), pages 2577-2603, December.
    8. Eric Ghysels & Arthur Sinko & Rossen Valkanov, 2007. "MIDAS Regressions: Further Results and New Directions," Econometric Reviews, Taylor & Francis Journals, vol. 26(1), pages 53-90.
    9. Jonathan B. Berk & Richard C. Green & Vasant Naik, 1999. "Optimal Investment, Growth Options, and Security Returns," Journal of Finance, American Finance Association, vol. 54(5), pages 1553-1607, October.
    10. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    11. Fama, Eugene F. & French, Kenneth R., 1997. "Industry costs of equity," Journal of Financial Economics, Elsevier, vol. 43(2), pages 153-193, February.
    12. Jonathan Lewellen & Stefan Nagel, 2003. "The Conditional CAPM does not Explain Asset-Pricing Anamolies," NBER Working Papers 9974, National Bureau of Economic Research, Inc.
    13. Ghysels, Eric & Santa-Clara, Pedro & Valkanov, Rossen, 2005. "There is a risk-return trade-off after all," Journal of Financial Economics, Elsevier, vol. 76(3), pages 509-548, June.
    14. Boudoukh, Jacob & Richardson, Matthew & Whitelaw, Robert F, 1994. " Industry Returns and the Fisher Effect," Journal of Finance, American Finance Association, vol. 49(5), pages 1595-1615, December.
    15. Tobias Adrian & Joshua Rosenberg, 2008. "Stock Returns and Volatility: Pricing the Short-Run and Long-Run Components of Market Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2997-3030, December.
    16. Robert F. Engle & Jose Gonzalo Rangel, 2008. "The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes," Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1187-1222, May.
    17. Tano Santos & Pietro Veronesi, 2004. "Conditional Betas," NBER Working Papers 10413, National Bureau of Economic Research, Inc.
    18. Chan, K C & Chen, Nai-Fu, 1988. " An Unconditional Asset-Pricing Test and the Role of Firm Size as an Instrumental Variable for Risk," Journal of Finance, American Finance Association, vol. 43(2), pages 309-25, June.
    19. Pietro Veronesi & Tano Santos, 2004. "Conditional Betas," 2004 Meeting Papers 24, Society for Economic Dynamics.
    20. Whitney K. Newey & Kenneth D. West, 1986. "A Simple, Positive Semi-Definite, Heteroskedasticity and AutocorrelationConsistent Covariance Matrix," NBER Technical Working Papers 0055, National Bureau of Economic Research, Inc.
    21. Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004. "Predicting Volatility: Getting the Most out of Return Data Sampled at Different Frequencies," NBER Working Papers 10914, National Bureau of Economic Research, Inc.
    22. Jacquier, Eric & Titman, Sheridan & YalçIn, Atakan, 2010. "Predicting systematic risk: Implications from growth options," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 991-1005, December.
    23. Ferson, Wayne E & Harvey, Campbell R, 1993. "The Risk and Predictability of International Equity Returns," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 527-66.
    24. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-50, July.
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