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The equity premium and the business cycle: the role of demand and supply shocks

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  • Peter N. Smith

    (Department of Economics, University of York, UK)

  • Steffen Sorensen

    (Barrie+Hibbert Ltd, UK)

  • Michael Wickens

    (Department of Economics, University of York, UK)

Abstract

This paper explores the effects of the US business cycle on US stock market returns through an analysis of the equity risk premium. We propose a new methodology based on the SDF approach to asset pricing that allows us to uncover the different effects of aggregate demand and supply shocks. We find that negative shocks are more important that positive shocks, and that supply shocks have a much greater impact than demand shocks. Copyright © 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Peter N. Smith & Steffen Sorensen & Michael Wickens, 2010. "The equity premium and the business cycle: the role of demand and supply shocks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(2), pages 134-152.
    • Handle: RePEc:ijf:ijfiec:v:15:y:2010:i:2:p:134-152
    DOI: 10.1002/ijfe.395
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    1. Paul Harrison & Harold H. Zhang, 1999. "An Investigation Of The Risk And Return Relation At Long Horizons," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 399-408, August.
    2. Peter Smith & Michael Wickens, 2002. "Asset Pricing with Observable Stochastic Discount Factors," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 397-446, July.
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    Cited by:

    1. Abhakorn, Pongrapeeporn & Smith, Peter N. & Wickens, Michael R., 2016. "Can stochastic discount factor models explain the cross-section of equity returns?," Review of Financial Economics, Elsevier, vol. 28(C), pages 56-68.
    2. Alfonso Mendoza Velázquez & Peter N. Smith, 2013. "Equity Returns and the Business Cycle: the Role of Supply and Demand Shocks," Manchester School, University of Manchester, vol. 81, pages 100-124, September.
    3. Abhakorn, Pongrapeeporn & Smith, Peter N. & Wickens, Michael R., 2016. "Can stochastic discount factor models explain the cross-section of equity returns?," Review of Financial Economics, Elsevier, vol. 28(C), pages 56-68.
    4. Chien-Chiang Lee & Chin-Yu Wang & Jhih-Hong Zeng, 2017. "Housing price–volume correlations and boom–bust cycles," Empirical Economics, Springer, vol. 52(4), pages 1423-1450, June.
    5. John Nkwoma Inekwe, 2020. "Market uncertainty, risk aversion, and macroeconomic expectations," Empirical Economics, Springer, vol. 59(4), pages 1977-1995, October.
    6. Kizys, Renatas & Pierdzioch, Christian, 2010. "The business cycle and the equity risk premium in real time," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 711-722, October.

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    More about this item

    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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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