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Cryptocurrency volatility and Egyptian stock market indexes: A note

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  • Tarek Eldomiaty

  • Nada Khaled

Abstract

This paper examines the effect of the riskiness of the top four cryptocurrencies on the riskiness of stock market indexes in Egypt, being recognized as a developing country. The analysis uses daily data on cryptocurrencies and the three stock market indexes covering January 2020 to January 2023. The risk is measured using the holding period Value at Risk (VaR). The GMM results show that (a) cryptocurrency volatility is negatively associated with the volatility of stock market indexes. That is, the higher the investors’ interest in trading cryptocurrencies, the lower the volatility of stock market indexes as investors trade stocks less frequently, (b) cryptocurrencies can provide hedge and diversification benefits, and (c) the relationship between volatilities of cryptocurrencies and stock market indexes varies across indexes, therefore, contingent.

Suggested Citation

  • Tarek Eldomiaty & Nada Khaled, 2024. "Cryptocurrency volatility and Egyptian stock market indexes: A note," Modern Finance, Modern Finance Institute, vol. 2(1), pages 121-130.
    • Handle: RePEc:bdy:modfin:v:2:y:2024:i:1:p:121-130:id:138
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    File URL: https://mf-journal.com/article/view/138
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    References listed on IDEAS

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    1. Bouri, Elie & Vo, Xuan Vinh & Saeed, Tareq, 2021. "Return equicorrelation in the cryptocurrency market: Analysis and determinants," Finance Research Letters, Elsevier, vol. 38(C).
    2. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    3. Jerry Hausman, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    4. Khaled Hussainey & Chijoke Oscar Mgbame & Aruoriwo M. Chijoke‐Mgbame, 2011. "Dividend policy and share price volatility: UK evidence," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 12(1), pages 57-68, January.
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    Cited by:

    1. Mercik, Aleksander & Będowska-Sójka, Barbara & Karim, Sitara & Zaremba, Adam, 2025. "Cross-sectional interactions in cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 97(C).
    2. Nidhal Mgadmi & Fekria Belhouichet & Néjib Hachicha & Wajdi Moussa, 2025. "US presidential elections and cross-market spillovers: DCC-GARCH R2 analysis of crypto, DeFi, NFTs, and oil," SN Business & Economics, Springer, vol. 5(9), pages 1-36, September.

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