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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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    Cited by:

    1. 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.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    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.

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    More about this item

    Keywords

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

    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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