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Habit persistence: Explaining cross sectional variation in returns and time-varying expected returns

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  • Stig V. Møller

    () (School of Economics and Management, University of Aarhus, Denmark and CREATES)

Abstract

This paper finds empirical support for the habit persistence model of Camp- bell and Cochrane (1999) along both cross sectional and time-series dimensions of the US stock market. GMM estimations show that the model is able to explain a substantial part of the cross sectional variation of returns on the 25 Fama and French value and size portfolios over the period 1932-2003, although it has difficul- ties in fully explaining the value premium, and some of the implied risk free rates are strongly negative. In addition, the model accounts for time-varying expected returns on stocks. Forecasting regressions show that the estimated surplus con- sumption ratio has strong forecasting power for future real stock returns and holds additional explanatory power relative to traditional financial forecasting variables such as the dividend yield. We also document that the Campbell-Cochrane model is particularly successful up to 1991. Including data from the 1990s reduces some- what the fit of the model.

Suggested Citation

  • Stig V. Møller, 2007. "Habit persistence: Explaining cross sectional variation in returns and time-varying expected returns," CREATES Research Papers 2007-07, Department of Economics and Business Economics, Aarhus University.
  • Handle: RePEc:aah:create:2007-07
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    References listed on IDEAS

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    1. Jonathan A. Parker & Christian Julliard, 2005. "Consumption Risk and the Cross Section of Expected Returns," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 185-222, February.
    2. John Y. Campbell & John H. Cochrane, 1994. "By force of habit: a consumption-based explanation of aggregate stock market behavior," Working Papers 94-17, Federal Reserve Bank of Philadelphia.
    3. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    4. Bekaert, Geert & Engstrom, Eric & Grenadier, Steven R., 2010. "Stock and bond returns with Moody Investors," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 867-894, December.
    5. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    6. Lewellen, Jonathan & Nagel, Stefan & Shanken, Jay, 2010. "A skeptical appraisal of asset pricing tests," Journal of Financial Economics, Elsevier, vol. 96(2), pages 175-194, May.
    7. Li, Yuming, 2001. "Expected Returns and Habit Persistence," Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 861-899.
    8. Andrew Ang & Geert Bekaert & Min Wei, 2008. "The Term Structure of Real Rates and Expected Inflation," Journal of Finance, American Finance Association, vol. 63(2), pages 797-849, April.
    9. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    10. Lettau, Martin & Ludvigson, Sydney C., 2005. "Expected returns and expected dividend growth," Journal of Financial Economics, Elsevier, vol. 76(3), pages 583-626, June.
    11. Ravi Bansal & Amir Yaron, 2004. "Risks for the Long Run: A Potential Resolution of Asset Pricing Puzzles," Journal of Finance, American Finance Association, vol. 59(4), pages 1481-1509, August.
    12. Jacob Boudoukh & Roni Michaely & Matthew Richardson & Michael R. Roberts, 2007. "On the Importance of Measuring Payout Yield: Implications for Empirical Asset Pricing," Journal of Finance, American Finance Association, vol. 62(2), pages 877-915, April.
    13. Kothari, S. P. & Shanken, Jay, 1997. "Book-to-market, dividend yield, and expected market returns: A time-series analysis," Journal of Financial Economics, Elsevier, vol. 44(2), pages 169-203, May.
    14. Campbell, John Y., 2003. "Consumption-based asset pricing," Handbook of the Economics of Finance,in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 13, pages 803-887 Elsevier.
    15. Thomas D. Tallarini, Jr. & Harold H. Zhang, 2005. "External Habit and the Cyclicality of Expected Stock Returns," The Journal of Business, University of Chicago Press, vol. 78(3), pages 1023-1048, May.
    16. Bekaert, Geert & Engstrom, Eric & Xing, Yuhang, 2009. "Risk, uncertainty, and asset prices," Journal of Financial Economics, Elsevier, vol. 91(1), pages 59-82, January.
    17. Martin Lettau & Jessica A. Wachter, 2007. "Why Is Long-Horizon Equity Less Risky? A Duration-Based Explanation of the Value Premium," Journal of Finance, American Finance Association, vol. 62(1), pages 55-92, February.
    18. Martin Lettau & Sydney Ludvigson, 2001. "Resurrecting the (C)CAPM: A Cross-Sectional Test When Risk Premia Are Time-Varying," Journal of Political Economy, University of Chicago Press, vol. 109(6), pages 1238-1287, December.
    19. Andrew Ang & Geert Bekaert, 2001. "Stock Return Predictability: Is it There?," NBER Working Papers 8207, National Bureau of Economic Research, Inc.
    20. Adrien Verdelhan, 2010. "A Habit-Based Explanation of the Exchange Rate Risk Premium," Journal of Finance, American Finance Association, vol. 65(1), pages 123-146, February.
    21. Stuart Hyde & Mohamed Sherif, 2005. "Consumption Asset Pricing Models: Evidence From The Uk," Manchester School, University of Manchester, vol. 73(3), pages 343-363, June.
    22. Martin Lettau, 2001. "Consumption, Aggregate Wealth, and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 56(3), pages 815-849, June.
    23. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-386.
    24. Lewellen, Jonathan, 2004. "Predicting returns with financial ratios," Journal of Financial Economics, Elsevier, vol. 74(2), pages 209-235, November.
    25. Stambaugh, Robert F., 1999. "Predictive regressions," Journal of Financial Economics, Elsevier, vol. 54(3), pages 375-421, December.
    26. Wachter, Jessica A., 2005. "Solving models with external habit," Finance Research Letters, Elsevier, vol. 2(4), pages 210-226, December.
    27. Li, Yuming, 2005. "The Wealth-Consumption Ratio and the Consumption-Habit Ratio," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 226-241, April.
    28. Andrea Buraschi & Alexei Jiltsov, 2007. "Habit Formation and Macroeconomic Models of the Term Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 62(6), pages 3009-3063, December.
    29. Stuart Hyde & Keith Cuthbertson & Dirk Nitzsche, 2005. "Resuscitating the C-CAPM: empirical evidence from France and Germany," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 337-357.
    30. Campbell, John Y, 1991. "A Variance Decomposition for Stock Returns," Economic Journal, Royal Economic Society, vol. 101(405), pages 157-179, March.
    31. Wachter, Jessica A., 2006. "A consumption-based model of the term structure of interest rates," Journal of Financial Economics, Elsevier, vol. 79(2), pages 365-399, February.
    32. Lars Ljungqvist & Harald Uhlig, 2009. "Optimal Endowment Destruction under Campbell-Cochrane Habit Formation," NBER Working Papers 14772, National Bureau of Economic Research, Inc.
    33. Nelson, Charles R & Kim, Myung J, 1993. " Predictable Stock Returns: The Role of Small Sample Bias," Journal of Finance, American Finance Association, vol. 48(2), pages 641-661, June.
    34. Fama, Eugene F. & French, Kenneth R., 1989. "Business conditions and expected returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 25(1), pages 23-49, November.
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    Cited by:

    1. Tom Engsted & Stig V. Møller, 2010. "An iterated GMM procedure for estimating the Campbell-Cochrane habit formation model, with an application to Danish Stock and bond returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 213-227.
    2. Constantin Chilarescu & Ioana Viasu, 2016. "A Closed-form Solution of a Two-sector Endogenous Growth Model with Habit Formation," Australian Economic Papers, Wiley Blackwell, vol. 55(2), pages 112-127, June.
    3. Auer, Benjamin R., 2013. "Can habit formation under complete market integration explain the cross-section of international equity risk premia?," Review of Financial Economics, Elsevier, vol. 22(2), pages 61-67.
    4. Bach, Christian & Møller, Stig V., 2011. "Habit-based asset pricing with limited participation consumption," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2891-2901, November.
    5. Gómez Manuel A., 2010. "Endogenous Growth, Habit Formation and Convergence Speed," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-32, January.
    6. Engsted, Tom & Hyde, Stuart & Møller, Stig V., 2010. "Habit formation, surplus consumption and return predictability: International evidence," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1237-1255, November.
    7. Auer Benjamin R., 2012. "Lassen sich CAPM, HCAPM und CCAPM durch konsumbasierte zeitvariable Parameterspezifikation rehabilitieren? / Can Time-varying Parameter Specification Based on Consumption Variables Rehabilitate CAPM, ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(5), pages 518-544, October.

    More about this item

    Keywords

    Campbell-Cochrane model; 25 Fama-French portfolios; GMM; return predictability by surplus-consumption ratio;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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