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Analysis of the performance of Islamic gold-backed cryptocurrencies during the bear market of 2020

Author

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  • Wasiuzzaman, Shaista
  • Muhd Azwan, Ayu Nadhirah
  • Hj Nordin, Aina Nazurah

Abstract

This study examines the performance of Islamic gold-backed cryptocurrencies during the bear market of 2020. Price data is collected for three Islamic gold-backed cryptocurrencies, OneGram, HelloGold and X8X, as well as the conventional gold-backed cryptocurrency, PaxGold, and the conventional fiat-backed cryptocurrency, Bitcoin, from December 2019 to November 2020. Analysis via ARMA-EGARCH models show that returns on all cryptocurrencies are lower during the bear market but the decrease is only significant for the Islamic gold-backed cryptocurrencies. Volatility is found to be higher for all five cryptocurrencies but the effect of the bear market on the volatility is only significant for the conventional cryptocurrencies.

Suggested Citation

  • Wasiuzzaman, Shaista & Muhd Azwan, Ayu Nadhirah & Hj Nordin, Aina Nazurah, 2023. "Analysis of the performance of Islamic gold-backed cryptocurrencies during the bear market of 2020," Emerging Markets Review, Elsevier, vol. 54(C).
    • Handle: RePEc:eee:ememar:v:54:y:2023:i:c:s1566014122000371
    DOI: 10.1016/j.ememar.2022.100920
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    Cited by:

    1. Sadaqat, Mohsin & Butt, Hilal Anwar, 2023. "Stop-loss rules and momentum payoffs in cryptocurrencies," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    2. Hoque, Mohammad Enamul & Billah, Mabruk & Alam, Md Rafayet & Tiwari, Aviral Kumar, 2024. "Gold-backed cryptocurrencies: A hedging tool against categorical and regional financial stress," Global Finance Journal, Elsevier, vol. 60(C).

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    More about this item

    Keywords

    Cryptocurrencies; Islamic gold-backed cryptocurrency; Bear market of 2020; Performance; Volatility;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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