Multifractal Detrended Fluctuation Analysis of Return on Bitcoin
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DOI: 10.1111/irfi.12256
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References listed on IDEAS
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Cited by:
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- Liu, Jiexian, 2024. "Analyzing the Co-movement of FinTech market efficiency and oil Resource efficiency: An Input-Output study," Resources Policy, Elsevier, vol. 90(C).
- Foued Sa^adaoui, 2023. "Structured Multifractal Scaling of the Principal Cryptocurrencies: Examination using a Self-Explainable Machine Learning," Papers 2304.08440, arXiv.org.
- Shrestha, Keshab & Naysary, Babak & Philip, Sheena Sara Suresh, 2023. "Fintech market efficiency: A multifractal detrended fluctuation analysis," Finance Research Letters, Elsevier, vol. 54(C).
- Foued Saâdaoui & Hana Rabbouch, 2024. "Structured multifractal scaling of the principal cryptocurrencies: Examination using a self‐explainable machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2917-2934, November.
- Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Masih, Mansur, 2022. "COVID-19 government interventions and cryptocurrency market: Is there any optimum portfolio diversification?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
- Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Chi‐Chuan Lee & Matthew Ntow‐Gyamfi, 2023. "Quantile price convergence and spillover effects among Bitcoin, Fintech, and artificial intelligence stocks," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 187-205, March.
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