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Analyzing commodity futures and stock market indices: Hedging strategies using asymmetric dynamic conditional correlation models

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  • Alshammari, Saad
  • Obeid, Hassan

Abstract

The focus of this paper is on analyzing the behavior of commodity futures indices and stock market indices in terms of price volatility and hedging. Specifically, we explore the weekly hedging strategies generated by two types of asymmetric dynamic conditional correlation (DCC) processes: return-based and range-based. We evaluate the effectiveness of these strategies for both short and long hedgers, using measures such as semi-variance, low partial moment, and conditional value-at-risk. Our findings reveal that, in general, the range-based DCC model is more effective than the return-based DCC model for hedging purposes.

Suggested Citation

  • Alshammari, Saad & Obeid, Hassan, 2023. "Analyzing commodity futures and stock market indices: Hedging strategies using asymmetric dynamic conditional correlation models," Finance Research Letters, Elsevier, vol. 56(C).
    • Handle: RePEc:eee:finlet:v:56:y:2023:i:c:s1544612323004531
    DOI: 10.1016/j.frl.2023.104081
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    References listed on IDEAS

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    1. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
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    11. Chen, Yi-Ting & Ho, Keng-Yu & Tzeng, Larry Y., 2014. "Riskiness-minimizing spot-futures hedge ratio," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 154-164.
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    Cited by:

    1. Echaust, Krzysztof & Just, Małgorzata & Kliber, Agata, 2024. "To hedge or not to hedge? Cryptocurrencies, gold and oil against stock market risk," International Review of Financial Analysis, Elsevier, vol. 94(C).
    2. Ozcelebi, Oguzhan & Kang, Sang Hoon, 2024. "Extreme connectedness and network across financial assets and commodity futures markets," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).

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