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Consumption Risk and the Cross-Section of Expected Returns

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  • Jonathan A. Parker

    (Princeton University and NBER)

  • Christian Julliard

    (Princeton University)

Abstract

This paper evaluates the central insight of the Consumption Capital Asset Pricing Model (CCAPM) that an asset’s expected return is determined by its equilibrium risk to consumption. Rather than measure the risk of a portfolio by the contemporaneous covariance of its return and consumption growth — as done in the previous literature on the CCAPM and the pattern of crosssectional returns — we measure the risk of a portfolio by its ultimate consumption risk defined as the covariance of its return and consumption growth over the quarter of the return and many following quarters. While contemporaneous consumption risk explains little of the variation in observed average returns across the Fama and French 25 portfolios, ultimate consumption risk at a horizon of three years explains a large fraction of this variation.

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Bibliographic Info

Paper provided by Princeton University, Woodrow Wilson School of Public and International Affairs, Discussion Papers in Economics. in its series Working Papers with number 138.

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Date of creation: Mar 2004
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Handle: RePEc:pri:wwseco:dp229

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Keywords: Consumption Capital Asset Pricing Model; Expected returns; Equity premium; Consumption risk; Consumption smoothing;

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  1. Fernando Restoy & Philippe Weil, 1998. "Approximate Equilibrium Asset Prices," Sciences Po publications 6611, Sciences Po.
  2. Breeden, Douglas T., 1979. "An intertemporal asset pricing model with stochastic consumption and investment opportunities," Journal of Financial Economics, Elsevier, vol. 7(3), pages 265-296, September.
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  4. Lynch, Anthony W, 1996. " Decision Frequency and Synchronization across Agents: Implications for Aggregate Consumption and Equity Return," Journal of Finance, American Finance Association, vol. 51(4), pages 1479-97, September.
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  7. Campbell, John, 1996. "Understanding Risk and Return," Scholarly Articles 3153293, Harvard University Department of Economics.
  8. Yacine Ait-Sahalia & Jonathan A. Parker & Motohiro Yogo, 2002. "Luxury Goods and the Equity Premium," Working Papers 145, Princeton University, Woodrow Wilson School of Public and International Affairs, Discussion Papers in Economics..
  9. David A. Marshall & Nayan G. Parekh, 1999. "Can Costs of Consumption Adjustment Explain Asset Pricing Puzzles?," Journal of Finance, American Finance Association, vol. 54(2), pages 623-654, 04.
  10. Jonathan A. Parker, 2000. "Spendthrift in America? On Two Decades of Decline in the U.S. Saving Rate," NBER Chapters, in: NBER Macroeconomics Annual 1999, Volume 14, pages 317-387 National Bureau of Economic Research, Inc.
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  12. Motohiro Yogo, 2006. "A Consumption-Based Explanation of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 61(2), pages 539-580, 04.
  13. R. Mehra & E. Prescott, 2010. "The equity premium: a puzzle," Levine's Working Paper Archive 1401, David K. Levine.
  14. Hanno N. Lustig & Stijn G. Van Nieuwerburgh, 2005. "Housing Collateral, Consumption Insurance, and Risk Premia: An Empirical Perspective," Journal of Finance, American Finance Association, vol. 60(3), pages 1167-1219, 06.
  15. Jonathan A. Parker & Christian Julliard, 2003. "Consumption Risk and Cross-Sectional Returns," NBER Working Papers 9538, National Bureau of Economic Research, Inc.
  16. Hall, Robert E, 1978. "Stochastic Implications of the Life Cycle-Permanent Income Hypothesis: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 971-87, December.
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  18. Cochrane, John H, 1996. "A Cross-Sectional Test of an Investment-Based Asset Pricing Model," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 572-621, June.
  19. Startz, Richard, 1989. "The Stochastic Behavior of Durable and Nondurable Consumption," The Review of Economics and Statistics, MIT Press, vol. 71(2), pages 356-63, May.
  20. Wilcox, David W, 1992. "The Construction of U.S. Consumption Data: Some Facts and Their Implications for Empirical Work," American Economic Review, American Economic Association, vol. 82(4), pages 922-41, September.
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