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COAALA: A Novel Approach to Understanding Extreme Stock–Bond Comovement

Author

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  • Anne-Florence Allard
  • Hamza Hanbali
  • Kristien Smedts

Abstract

This article proposes a novel copula model to understand the dependence between extreme variations in stock and government bond returns. This model is used to introduce a tail-based extension of the safe haven concept, which we refer to as a tail risk dampener. Our findings reveal significant cross-country differences in stock–bond local tail dependence and tail risk dampening abilities. Some countries’ bond market can lessen the impact on portfolio returns of extreme negative stock returns, while for others no such negative tail comovement is found. This tail comovement is also not always aligned with global comovement between stocks and bonds. The article concludes that a comprehensive understanding of the comovement and the resulting diversification potential between stock and bond returns necessitates complementing global measures of dependence with local tail measures.

Suggested Citation

  • Anne-Florence Allard & Hamza Hanbali & Kristien Smedts, 2024. "COAALA: A Novel Approach to Understanding Extreme Stock–Bond Comovement," Journal of Financial Econometrics, Oxford University Press, vol. 22(5), pages 1532-1557.
  • Handle: RePEc:oup:jfinec:v:22:y:2024:i:5:p:1532-1557.
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    File URL: http://hdl.handle.net/10.1093/jjfinec/nbae006
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    More about this item

    Keywords

    stock–bond dependence; tail dependence; time-varying copulas;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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