{"title":"COVID-19 对以太坊回报和以太坊市场效率的影响","authors":"Naseem Al Rahahleh, Ahmed Al Qurashi","doi":"10.1007/s40822-024-00273-z","DOIUrl":null,"url":null,"abstract":"<p>This paper aims to identify herding biases and assess the inefficiency of Ethereum using an inefficiency index (MLM). Additionally, it investigates the nonlinear dynamical properties of Ethereum by estimating the MFDFA, aiming to deduce the impact of COVID-19 on Ethereum’s performance. The paper also captures abnormal changes resulting from COVID-19-related events and assesses their influence on the Ethereum market response.</p><p>The empirical results show that Ethereum was multifractal before the pandemic and became less fractal in the period following the outbreak using Generalized Hurst Exponent (GHE) estimation. Based on the MLM measure of efficiency, we found Ethereum to be more efficient in the first phase of the pandemic than before it, and as in the Hausdorff topology, the pandemic reduced herd bias. The event study analysis took into account specific events related to the pandemic and showed that each led to significant abnormal returns in the Ethereum market. The results reported are used to empirically establish differences in the value of Ethereum before and during the COVID-19 pandemic. The results are useful in a general sense for traders, investors, and policy makers because they provide new information about market trading opportunities and social responses.</p>","PeriodicalId":45064,"journal":{"name":"Eurasian Economic Review","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The impact of COVID-19 on Ethereum returns and Ethereum market efficiency\",\"authors\":\"Naseem Al Rahahleh, Ahmed Al Qurashi\",\"doi\":\"10.1007/s40822-024-00273-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper aims to identify herding biases and assess the inefficiency of Ethereum using an inefficiency index (MLM). Additionally, it investigates the nonlinear dynamical properties of Ethereum by estimating the MFDFA, aiming to deduce the impact of COVID-19 on Ethereum’s performance. The paper also captures abnormal changes resulting from COVID-19-related events and assesses their influence on the Ethereum market response.</p><p>The empirical results show that Ethereum was multifractal before the pandemic and became less fractal in the period following the outbreak using Generalized Hurst Exponent (GHE) estimation. Based on the MLM measure of efficiency, we found Ethereum to be more efficient in the first phase of the pandemic than before it, and as in the Hausdorff topology, the pandemic reduced herd bias. The event study analysis took into account specific events related to the pandemic and showed that each led to significant abnormal returns in the Ethereum market. The results reported are used to empirically establish differences in the value of Ethereum before and during the COVID-19 pandemic. The results are useful in a general sense for traders, investors, and policy makers because they provide new information about market trading opportunities and social responses.</p>\",\"PeriodicalId\":45064,\"journal\":{\"name\":\"Eurasian Economic Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eurasian Economic Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40822-024-00273-z\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasian Economic Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40822-024-00273-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
The impact of COVID-19 on Ethereum returns and Ethereum market efficiency
This paper aims to identify herding biases and assess the inefficiency of Ethereum using an inefficiency index (MLM). Additionally, it investigates the nonlinear dynamical properties of Ethereum by estimating the MFDFA, aiming to deduce the impact of COVID-19 on Ethereum’s performance. The paper also captures abnormal changes resulting from COVID-19-related events and assesses their influence on the Ethereum market response.
The empirical results show that Ethereum was multifractal before the pandemic and became less fractal in the period following the outbreak using Generalized Hurst Exponent (GHE) estimation. Based on the MLM measure of efficiency, we found Ethereum to be more efficient in the first phase of the pandemic than before it, and as in the Hausdorff topology, the pandemic reduced herd bias. The event study analysis took into account specific events related to the pandemic and showed that each led to significant abnormal returns in the Ethereum market. The results reported are used to empirically establish differences in the value of Ethereum before and during the COVID-19 pandemic. The results are useful in a general sense for traders, investors, and policy makers because they provide new information about market trading opportunities and social responses.
期刊介绍:
The mission of Eurasian Economic Review is to publish peer-reviewed empirical research papers that test, extend, or build theory and contribute to practice. All empirical methods - including, but not limited to, qualitative, quantitative, field, laboratory, and any combination of methods - are welcome. Empirical, theoretical and methodological articles from all fields of finance and applied macroeconomics are featured in the journal. Theoretical and/or review articles that integrate existing bodies of research and that provide new insights into the field are highly encouraged. The journal has a broad scope, addressing such issues as: financial systems and regulation, corporate and start-up finance, macro and sustainable finance, finance and innovation, consumer finance, public policies on financial markets within local, regional, national and international contexts, money and banking, and the interface of labor and financial economics. The macroeconomics coverage includes topics from monetary economics, labor economics, international economics and development economics.
Eurasian Economic Review is published quarterly. To be published in Eurasian Economic Review, a manuscript must make strong empirical and/or theoretical contributions and highlight the significance of those contributions to our field. Consequently, preference is given to submissions that test, extend, or build strong theoretical frameworks while empirically examining issues with high importance for theory and practice. Eurasian Economic Review is not tied to any national context. Although it focuses on Europe and Asia, all papers from related fields on any region or country are highly encouraged. Single country studies, cross-country or regional studies can be submitted.