Zitis Pavlos I, Kakinaka Shinji, Umeno Ken, Stavrinides Stavros G, Hanias Michael P, Potirakis Stelios M
Department of Electrical and Electronics Engineering, University of West Attica, Ancient Olive Grove Campus, Egaleo, 12241 Athens, Greece.
Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, Sakyo, Kyoto 606-8501, Japan.
Entropy (Basel). 2023 Dec 5;25(12):1622. doi: 10.3390/e25121622.
The COVID-19 pandemic has had an unprecedented impact on the global economy and financial markets. In this article, we explore the impact of the pandemic on the weak-form efficiency of the cryptocurrency and forex markets by conducting a comprehensive comparative analysis of the two markets. To estimate the weak-form of market efficiency, we utilize the asymmetric market deficiency measure (MDM) derived using the asymmetric multifractal detrended fluctuation analysis (A-MF-DFA) approach, along with fuzzy entropy, Tsallis entropy, and Fisher information. Initially, we analyze the temporal evolution of these four measures using overlapping sliding windows. Subsequently, we assess both the mean value and variance of the distribution for each measure and currency in two distinct time periods: before and during the pandemic. Our findings reveal distinct shifts in efficiency before and during the COVID-19 pandemic. Specifically, there was a clear increase in the weak-form inefficiency of traditional currencies during the pandemic. Among cryptocurrencies, BTC stands out for its behavior, which resembles that of traditional currencies. Moreover, our results underscore the significant impact of COVID-19 on weak-form market efficiency during both upward and downward market movements. These findings could be useful for investors, portfolio managers, and policy makers.
新冠疫情对全球经济和金融市场产生了前所未有的影响。在本文中,我们通过对加密货币市场和外汇市场进行全面的比较分析,探讨了疫情对这两个市场弱式效率的影响。为了估计市场效率的弱式,我们使用了基于非对称多重分形去趋势波动分析(A-MF-DFA)方法得出的非对称市场缺陷度量(MDM),以及模糊熵、Tsallis熵和Fisher信息。首先,我们使用重叠滑动窗口分析这四种度量的时间演变。随后,我们评估了两个不同时间段(疫情前和疫情期间)中每种度量和货币的分布均值和方差。我们的研究结果揭示了新冠疫情前后效率的明显变化。具体而言,疫情期间传统货币的弱式无效率明显增加。在加密货币中,比特币的表现突出,其行为类似于传统货币。此外,我们的结果强调了新冠疫情在市场上涨和下跌期间对弱式市场效率的重大影响。这些发现可能对投资者、投资组合经理和政策制定者有用。