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Is connectedness between commodity volatility indices and G-7 stock market returns the same across return quantiles?

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  • Hanif, Waqas
  • El Khoury, Rim
  • Hadhri, Sinda

Abstract

This study examines the connectedness and spillover effects among G7 stock markets, oil and gold volatilities from January 1, 2017, to June 16, 2022. By employing an in-quantile spillover approach, the study contributes to the existing literature by providing a comprehensive analysis of the linkages between these markets. The findings reveal that spillover effects are highly dynamic and vary significantly across different quantiles of the return distribution. During periods of market turbulence—such as the Covid-19 pandemic, trade tensions, and geopolitical conflicts—spillover intensity increases, indicating heightened market interdependence. The Japanese stock market and Gold volatility index (GVX) consistently act as net recipients of shocks, whereas the stock markets of Canada, France, Germany, Italy, the UK, and the USA serve as net transmitters. While long-term diversification opportunities appear limited, gold and oil exhibit effective hedging properties for short-term investors across various market conditions. From a policy perspective, these findings underscore the importance of monitoring market interdependencies, particularly during crisis periods. Policymakers should implement coordinated strategies to mitigate systemic risks in financial markets, especially in times of heightened uncertainty. Investors should consider short-term hedging strategies using gold and oil to minimize risk exposure during market downturns. Furthermore, financial regulators in G7 countries should enhance surveillance mechanisms to preempt excessive spillovers that may threaten financial stability.

Suggested Citation

  • Hanif, Waqas & El Khoury, Rim & Hadhri, Sinda, 2025. "Is connectedness between commodity volatility indices and G-7 stock market returns the same across return quantiles?," Journal of Multinational Financial Management, Elsevier, vol. 79(C).
  • Handle: RePEc:eee:mulfin:v:79:y:2025:i:c:s1042444x25000258
    DOI: 10.1016/j.mulfin.2025.100921
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G01 - Financial Economics - - General - - - Financial Crises
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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