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Variance Bounds on the Permanent and Transitory Components of Stochastic Discount Factors

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  • Bakshi, Gurdip

    (University of MD)

  • Chabi-Yo, Fousseni

    (OH State University)

Abstract

When the transitory component of the stochastic discount factors (SDFs) prices the long-term bond, and the permanent component prices other assets, we develop lower bounds on the variance of the permanent component and the transitory component, and on the variance of the ratio of the permanent to the transitory components of SDFs. A salient feature of our bounds is that they incorporate information from average returns and the variance-covariance matrix of returns corresponding to a generic set of assets. Relevant to economic modeling, we examine the tightness of our bounds relative to Alvarez and Jermann (2005, Econometrica). Exactly solved eigenfunction problems are then used to study the empirical attributes of asset pricing models that incorporate long-run risk, external habit persistence, and rare disasters. Specific quantitative implications are developed for the variance of the permanent and the transitory components, the return behavior of the long-term (infinite-maturity) bond, and the comovement between the transitory and the permanent components of SDFs.

Suggested Citation

  • Bakshi, Gurdip & Chabi-Yo, Fousseni, 2011. "Variance Bounds on the Permanent and Transitory Components of Stochastic Discount Factors," Working Paper Series 2011-11, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
  • Handle: RePEc:ecl:ohidic:2011-11
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    Cited by:

    1. Bakshi, Gurdip & Chabi-Yo, Fousseni, 2012. "Variance bounds on the permanent and transitory components of stochastic discount factors," Journal of Financial Economics, Elsevier, vol. 105(1), pages 191-208.
    2. Anisha Ghosh & Christian Julliard & Alex P. Taylor, 2017. "What Is the Consumption-CAPM Missing? An Information-Theoretic Framework for the Analysis of Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 30(2), pages 442-504.
    3. Ravi Jagannathan & Srikant Marakani, 2015. "Price-Dividend Ratio Factor Proxies for Long-Run Risks," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 5(1), pages 1-47.
    4. 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.

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    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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