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

Anne-Florence Allard, Hamza Hanbali and Kristien Smedts

Journal of Financial Econometrics, 2024, vol. 22, issue 5, 1532-1557

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.

Keywords: stock–bond dependence; tail dependence; time-varying copulas (search for similar items in EconPapers)
JEL-codes: C58 G11 G12 (search for similar items in EconPapers)
Date: 2024
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