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The Term Structures of Coentropy in International Financial Markets

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Listed:
  • Fousseni Chabi-Yo

    (Isenberg School of Management, University of Massachusetts Amherst, Amherst, Massachusetts 01003)

  • Riccardo Colacito

    (Kenan-Flagler Business School and Department of Economics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599)

Abstract

We propose a new entropy-based correlation measure (coentropy) to evaluate the performance of international asset pricing models. Coentropy captures the codependence of two random variables beyond normality. We document that the coentropy of international stochastic discount factors (SDFs) can be decomposed into a series of entropy-based correlations of permanent and transitory components of the SDFs. We employ the cross section of G-10 countries to obtain model-free estimates of all the components of coentropy at various horizons and we show that the generalization of the long-run risk model featuring two predictable components of consumption growth rates, global disasters, and recursive preferences can account for the composition of codependence at all horizons.

Suggested Citation

  • Fousseni Chabi-Yo & Riccardo Colacito, 2019. "The Term Structures of Coentropy in International Financial Markets," Management Science, INFORMS, vol. 65(8), pages 3541-3558, August.
  • Handle: RePEc:inm:ormnsc:v:65:y:2019:i:8:p:3541-3558
    DOI: 10.1287/mnsc.2017.3017
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    References listed on IDEAS

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