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Using Long-Run Consumption-Return Correlations to Test Asset Pricing Models

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  • Jianfeng Yu

    (University of Minnesota)

Abstract

This paper examines a new set of implications for existing asset pricing models regarding the correlation between returns and consumption growth over both the short run and the long run. The findings suggest that external habit formation models face a challenge in producing two robust facts in aggregate data, namely, that stock market returns lead consumption growth, and that the correlation between returns and consumption growth is higher at low frequencies. To reconcile these facts with a consumption-based model, I demonstrate the need for focusing on models that contain a forward looking consumption component, i.e., models that allow for both trend and cyclical fluctuations in consumption, and that link returns to cyclical fluctuations in consumption. Long-run risk models provide examples of models that contain this consumption component. (Copyright: Elsevier)

Suggested Citation

  • Jianfeng Yu, 2012. "Using Long-Run Consumption-Return Correlations to Test Asset Pricing Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(3), pages 317-335, October.
  • Handle: RePEc:red:issued:10-230
    DOI: 10.1016/j.red.2012.04.001
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    Cited by:

    1. Ian Dew-Becker & Stefano Giglio, 2016. "Asset Pricing in the Frequency Domain: Theory and Empirics," The Review of Financial Studies, Society for Financial Studies, vol. 29(8), pages 2029-2068.
    2. Jozef Barunik & Josef Kurka, 2021. "Risks of heterogeneously persistent higher moments," Papers 2104.04264, arXiv.org, revised Mar 2024.
    3. Barunik, Jozef & Vacha, Lukas, 2018. "Do co-jumps impact correlations in currency markets?," Journal of Financial Markets, Elsevier, vol. 37(C), pages 97-119.
    4. Bandi, Federico M. & Tamoni, Andrea, 2023. "Business-cycle consumption risk and asset prices," Journal of Econometrics, Elsevier, vol. 237(2).
    5. Jin, Lawrence J. & Sui, Pengfei, 2022. "Asset pricing with return extrapolation," Journal of Financial Economics, Elsevier, vol. 145(2), pages 273-295.
    6. Victoria Atanasov, 2014. "Common Risk Factors in Equity Markets," Tinbergen Institute Discussion Papers 14-070/IV, Tinbergen Institute.
    7. Bruzda, Joanna, 2019. "Complex analytic wavelets in the measurement of macroeconomic risks," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    8. Neuhierl, Andreas & Varneskov, Rasmus T., 2021. "Frequency dependent risk," Journal of Financial Economics, Elsevier, vol. 140(2), pages 644-675.
    9. Qi Liu & Libin Tao & Weixing Wu & Jianfeng Yu, 2017. "Short- and Long-Run Business Conditions and Expected Returns," Management Science, INFORMS, vol. 63(12), pages 4137-4157, December.
    10. Zhang, Xiang, 2020. "Leisure and long-run risks: An empirical evaluation on value premium puzzle," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

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    More about this item

    Keywords

    Long-run risk; Forward-looking;

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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