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Hedging stock market prices with WTI, Gold, VIX and cryptocurrencies: a comparison between DCC, ADCC and GO-GARCH models

Author

Listed:
  • Mohamed Fakhfekh
  • Ahmed Jeribi
  • Ahmed Ghorbel
  • Nejib Hachicha

Abstract

Purpose - In a first place, the present paper is designed to examine the dynamic correlations persistent between five cryptocurrencies, WTI, Gold, VIX and four stock markets (SP500, FTSE, NIKKEI and MSCIEM). In a second place, it investigates the relevant optimal hedging strategy. Design/methodology/approach - Empirically, the authors examine how WTI, Gold, VIX and five cryptocurrencies can be applicable to hedge the four stock markets. Three variants of multivariate GARCH models (DCC, ADCC and GO-GARCH) are implemented to estimate dynamic optimal hedge ratios. Findings - The reached findings prove that both of the Bitcoin and Gold turn out to display remarkable hedging commodity features, while the other assets appear to demonstrate a rather noticeable disposition to act as diversifiers. Moreover, the results show that the VIX turns out to stand as the most effectively appropriate instrument, fit for hedging the stock market indices various related refits. Furthermore, the results prove that the hedging strategy instrument was indifferent for FTSE and NIKKEI stock while for the American and emerging markets, the hedging strategy was reversed from the pre-cryptocurrency crash to the during cryptocurrency crash period. Originality/value - The first paper's empirical contribution lies in analyzing emerging cross-hedge ratios with financial assets and compare hedging effectiveness within the period of crash and the period before Bitcoin crash as well as the sensitivity of results to refits choose to compare between short term hedging strategy and long-term one.

Suggested Citation

  • Mohamed Fakhfekh & Ahmed Jeribi & Ahmed Ghorbel & Nejib Hachicha, 2021. "Hedging stock market prices with WTI, Gold, VIX and cryptocurrencies: a comparison between DCC, ADCC and GO-GARCH models," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(4), pages 978-1006, June.
    • Handle: RePEc:eme:ijoemp:ijoem-03-2020-0264
    DOI: 10.1108/IJOEM-03-2020-0264
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    Citations

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    Cited by:

    1. Mustafa Tevfik Kartal & Mustafa Kevser & Fatih Ayhan, 2023. "Asymmetric effects of global factors on return of cryptocurrencies by novel nonlinear quantile approaches," Economic Change and Restructuring, Springer, vol. 56(3), pages 1515-1535, June.
    2. Xu, Lei & Kinkyo, Takuji, 2023. "Hedging effectiveness of bitcoin and gold: Evidence from G7 stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    3. Babu Jose & Nithin Jose, 2023. "Is Cross-Hedging Effective for Mitigating Equity Investment Risks in the Indian Banking Sector?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 189-210, March.
    4. Azza Bejaoui & Wajdi Frikha & Ahmed Jeribi, 2023. "On the dynamic connectedness between the G7 stock market indices and different asset classes: Fresh insights from the COVID-19 pandemic and Russia–Ukraine war," SN Business & Economics, Springer, vol. 3(11), pages 1-21, November.
    5. Bazán-Palomino, Walter & Svogun, Daniel, 2023. "On the drivers of technical analysis profits in cryptocurrency markets: A Distributed Lag approach," International Review of Financial Analysis, Elsevier, vol. 86(C).

    More about this item

    Keywords

    Cryptocurrencies; Stock market indices; Commodities; VIX; Multivariate GARCH models; Optimal hedge ratios; Hedging effectiveness; G10; G11; G14; G15;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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