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Tradable or nontradable factors : what does the Hansen–Jagannathan distance tell us?

Author

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  • Xiang Zhang

    (EM - EMLyon Business School)

  • Yangyi Liu
  • Kun Wu
  • Bertrand Maillet

Abstract

We investigate the difference in pricing cross-sectional risky assets performance between tradable and nontradable factors by comparing their misspecification errors—the Hansen–Jagannathan (HJ) distance. By constructing nontradable factors mimicking portfolios (FMPs) and incorporating them into the least-misspecified tradable stochastic dis-count factor (SDF), we provide cross-country empirical evidence that this SDF that combines tradable and nontradable factors dominates others in which nontradable factors further decrease the SDF's mis-specification errors. Since nontradable FMPs are functions of current tradable factor information about the economic state, FMPs "hedge" the state variable risks, and FMPs' returns describe the risk premiums.

Suggested Citation

  • Xiang Zhang & Yangyi Liu & Kun Wu & Bertrand Maillet, 2021. "Tradable or nontradable factors : what does the Hansen–Jagannathan distance tell us?," Post-Print hal-03287946, HAL.
  • Handle: RePEc:hal:journl:hal-03287946
    Note: View the original document on HAL open archive server: https://hal.science/hal-03287946
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    More about this item

    Keywords

    Tradable and nontradable factors; Hansen–Jagannathan distance; Misspecification errors; Factors mimicking portfolios;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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