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Exploring the Dynamic Links between GCC Sukuk and Commodity Market Volatility

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  • Nader Naifar

    (Department of Finance and Investment, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), P.O. Box 5701, Riyadh, Saudi Arabia)

Abstract

This study investigates the impact of commodity price volatility (including soft commodities, precious metals, industrial metals, and energy) on the dynamics of corporate sukuk returns. Using a sample of sukuk indices from Gulf Cooperation Council (GCC) countries, we study the dynamic conditional correlation using a multivariate generalized autoregressive conditional heteroskedasticity dynamic conditional correlation (GARCH-DCC) process. Empirical results show a time-varying negative correlation between GCC sukuk returns and commodity prices. In fact, a negative conditional correlation among assets of a given portfolio implies higher gain-to-risk ratios. An understanding of volatility and dynamic co-movements in financial and commodity markets is important for portfolio allocation and risk management practices.

Suggested Citation

  • Nader Naifar, 2018. "Exploring the Dynamic Links between GCC Sukuk and Commodity Market Volatility," IJFS, MDPI, vol. 6(3), pages 1-18, August.
    • Handle: RePEc:gam:jijfss:v:6:y:2018:i:3:p:72-:d:163414
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    References listed on IDEAS

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    2. Yousaf, Imran & Ali, Shoaib & Marei, Mohamed & Gubareva, Mariya, 2024. "Spillovers and hedging effectiveness between islamic cryptocurrency and metal markets: Evidence from the COVID-19 outbreak," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1126-1151.
    3. Billah, Mabruk & Elsayed, Ahmed H. & Hadhri, Sinda, 2023. "Asymmetric relationship between green bonds and Sukuk markets: The role of global risk factors," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    4. de Souza Ramser, Claudia Aline & Souza, Adriano Mendonça & Souza, Francisca Mendonça & da Veiga, Claudimar Pereira & da Silva, Wesley Vieira, 2019. "The importance of principal components in studying mineral prices using vector autoregressive models: Evidence from the Brazilian economy," Resources Policy, Elsevier, vol. 62(C), pages 9-21.

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