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Nonlinear and extreme dependence between long-term sovereign bond yields and the stock market: A quantile-on-quantile analysis

Author

Listed:
  • Román Ferrer

    (Department of Actuarial and Financial Economics, University of Valencia, Spain)

  • Syed Jawad Hussain Shahzad

    (Montpellier Business School, France)

  • Adrián Maizonada

    (Department of Actuarial and Financial Economics, University of Valencia, Spain)

Abstract

This paper explores the links between yields on long-term bonds and stock market returns using the novel quantile-on-quantile (QQ) method. This approach quantifies the effect that the quantiles of bonds yield have on the quantiles of stock returns, thus offering a suitable framework for capturing the entire dependence structure. The empirical results illustrate that the interest rate-equity market nexus is principally positive. In fact, the most pronounced relationship is detected under extreme circumstances in both stock and sovereign bond markets, mainly in an environment characterized by sharp declines in yields on 10-year Treasury bonds and a markedly bearish environment in stock prices. The findings of this study have significant implications for practitioners in making adequate asset allocation and hedging decisions and also help policy makers to preserve financial stability, particularly in times of heightened uncertainty and financial crisis.

Suggested Citation

  • Román Ferrer & Syed Jawad Hussain Shahzad & Adrián Maizonada, 2019. "Nonlinear and extreme dependence between long-term sovereign bond yields and the stock market: A quantile-on-quantile analysis," Economics Bulletin, AccessEcon, vol. 39(2), pages 969-981.
  • Handle: RePEc:ebl:ecbull:eb-19-00008
    as

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    References listed on IDEAS

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    3. Moghaddam, Mohsen Bakhshi, 2023. "The relationship between oil price changes and economic growth in Canadian provinces: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 125(C).

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    More about this item

    Keywords

    interest rates; stock market; bearish market; quantile-on-quantile approach; quantile regression;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • F3 - International Economics - - International Finance

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