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Asymmetric multifractal cross-correlations between the main world currencies and the main cryptocurrencies

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  • Kristjanpoller, Werner
  • Bouri, Elie

Abstract

The price behavior of cryptocurrencies relative to conventional currencies remains relatively understudied, despite some attempts that consider the Bitcoin market. This study examines long-range cross-correlations and asymmetric multifractality between leading conventional currencies (Swiss Franc, Euro, British Pound, Yen, and Australian dollar) and main cryptocurrencies (Bitcoin, Litecoin, Ripple, Monero, and Dash) from June 2, 2014 to February 28, 2018. Empirical results show evidence of a significant asymmetric characteristic from the cross-correlation, that is found to be persistent and multifractal in most of the cases. Bitcoin and Litecoin are the cryptocurrencies that exhibit the most multifractal behavior, whereas Monero and Ripple generally exhibit lower multifractal behavior. All cryptocurrencies exhibit a slightly lower asymmetry for longer terms.

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  • Kristjanpoller, Werner & Bouri, Elie, 2019. "Asymmetric multifractal cross-correlations between the main world currencies and the main cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1057-1071.
  • Handle: RePEc:eee:phsmap:v:523:y:2019:i:c:p:1057-1071
    DOI: 10.1016/j.physa.2019.04.115
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    Cited by:

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    4. Mokni, Khaled & Ajmi, Ahdi Noomen, 2021. "Cryptocurrencies vs. US dollar: Evidence from causality in quantiles analysis," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 238-252.
    5. Aggarwal, Divya & Chandrasekaran, Shabana & Annamalai, Balamurugan, 2020. "A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    6. Shahzad, Syed Jawad Hussain & Bouri, Elie & Kayani, Ghulam Mujtaba & Nasir, Rana Muhammad & Kristoufek, Ladislav, 2020. "Are clean energy stocks efficient? Asymmetric multifractal scaling behaviour," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    7. Muhammad Owais Qarni & Saiqb Gulzar, 2021. "Portfolio diversification benefits of alternative currency investment in Bitcoin and foreign exchange markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-37, December.
    8. Chemkha, Rahma & BenSaïda, Ahmed & Ghorbel, Ahmed, 2021. "Connectedness between cryptocurrencies and foreign exchange markets: Implication for risk management," Journal of Multinational Financial Management, Elsevier, vol. 59(C).
    9. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Al-Jarrah, Idries Mohammad Wanas & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Dynamic volatility transmission and portfolio management across major cryptocurrencies: Evidence from hourly data," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    10. Lin, Zih-Ying, 2021. "Investor attention and cryptocurrency performance," Finance Research Letters, Elsevier, vol. 40(C).
    11. Umar, Zaghum & Gubareva, Mariya, 2020. "A time–frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    12. Ghazani, Majid Mirzaee & Khosravi, Reza, 2020. "Multifractal detrended cross-correlation analysis on benchmark cryptocurrencies and crude oil prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    13. Yi, Eojin & Cho, Yerim & Sohn, Sungbin & Ahn, Kwangwon, 2021. "After the Splits: Information Flow between Bitcoin and Bitcoin Family," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    14. Shu, Min & Zhu, Wei, 2020. "Real-time prediction of Bitcoin bubble crashes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    15. Bouri, Elie & Saeed, Tareq & Vo, Xuan Vinh & Roubaud, David, 2021. "Quantile connectedness in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
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