Multifractal detrended fluctuation analysis of return on Bitcoin

Keshab Shrestha

Research output: Contribution to journalLetterResearchpeer-review

16 Citations (Scopus)


We revisit the issue of market efficiency of Bitcoin, which is an important part of the new financial technology (FinTech), by analyzing the Bitcoin returns using two recently developed analytical techniques called bipower variation method and Multifractal Detrended Fluctuation Analysis (MF-DFA). MF-DFA allows us to analyze the return series in ways not possible using a monofractal analytical techniques such as detrended fluctuation analysis (DFA) and R/S method. The bipower variation method suggests that the Bitcoin returns are efficient and contain some large finite jumps. Using MF-DFA, we find that the Bitcoin returns are multifractal and, therefore, the Bitcoin market is not efficient. By carrying out further analysis, we also find that the multifractility and inefficiency are caused by the autocorrelated returns as well as extreme returns.

Original languageEnglish
Pages (from-to)312-323
Number of pages12
JournalInternational Review of Finance
Issue number1
Publication statusPublished - Mar 2021

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