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Bond return predictability in expansions and recessions

Author

Listed:
  • Tom Engsted

    (Aarhus University and CREATES)

  • Stig V. Møller

    (Aarhus University and CREATES)

  • Magnus Sander

    (Aarhus University and CREATES)

Abstract

We document that over the period 1953-2011 US bond returns are predictable in expansionary periods but unpredictable during recessions. This result holds in both in-sample and out-of-sample analyses and using both univariate regressions and combination forecasting techniques. A simulation study shows that our tests have power to reject unpredictability in both expansions and recessions. To judge the economic significance of the results we compute utility gains for a meanvariance investor who takes the predictability patterns into account and show that utility gains are positive in expansions but negative in recessions. The results are also consistent with tests showing that the expectations hypothesis of the term structure holds in recessions but not in expansions. However, the results for bonds are in sharp contrast to results for stocks showing that stock returns are predictable in recessions but not in expansions. Thus, our results indicate that there is not a common predictive pattern of stock and bond returns associated with the state of the economy.

Suggested Citation

  • Tom Engsted & Stig V. Møller & Magnus Sander, 2013. "Bond return predictability in expansions and recessions," CREATES Research Papers 2013-13, Department of Economics and Business Economics, Aarhus University.
  • Handle: RePEc:aah:create:2013-13
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    File URL: https://repec.econ.au.dk/repec/creates/rp/13/rp13_13.pdf
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    References listed on IDEAS

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    2. Devpura, Neluka & Narayan, Paresh Kumar & Sharma, Susan Sunila, 2021. "Bond return predictability: Evidence from 25 OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).

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    More about this item

    Keywords

    Return predictability; expansions and recessions; out-of-sample tests; power properties; mean-variance investor; expectations hypothesis.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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