Syed Ali Raza , Nida Shah , Muhammed Tahir Suleman
{"title":"A multifractal detrended fluctuation analysis of Islamic and conventional financial markets efficiency during the COVID-19 pandemic","authors":"Syed Ali Raza , Nida Shah , Muhammed Tahir Suleman","doi":"10.1016/j.inteco.2023.100463","DOIUrl":null,"url":null,"abstract":"<div><p>This paper examines the efficiency of DJIM conventional and Islamic sectoral stock markets before and during the Covid-19 period. The study uses both sectoral stock markets' daily data from January 1, 2010, to August 1, 2022, and relies on the multifractal detrended fluctuation analysis (MF-DFA). Firstly, we find that the conventional and Islamic sectoral stock markets are multifractal in the short and long run. Secondly, conventional and Islamic sectoral stock markets are characterized by long-term memory features in small fluctuations. Thirdly, in terms of efficiency before the Covid-19 period, in the Islamic sectoral market, the healthcare sector is the most efficient in the short run, and the financial sector is the most efficient in the long run. During the Covid-19 period, in the conventional sectoral market, the financial sector was the most efficient in the short run, and the utility sector was the most efficient in the long run.</p></div>","PeriodicalId":13794,"journal":{"name":"International Economics","volume":"177 ","pages":"Article 100463"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2110701723000756/pdfft?md5=cc3c8784b2a9cc81b44312e7a16f2a8d&pid=1-s2.0-S2110701723000756-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Economics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2110701723000756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the efficiency of DJIM conventional and Islamic sectoral stock markets before and during the Covid-19 period. The study uses both sectoral stock markets' daily data from January 1, 2010, to August 1, 2022, and relies on the multifractal detrended fluctuation analysis (MF-DFA). Firstly, we find that the conventional and Islamic sectoral stock markets are multifractal in the short and long run. Secondly, conventional and Islamic sectoral stock markets are characterized by long-term memory features in small fluctuations. Thirdly, in terms of efficiency before the Covid-19 period, in the Islamic sectoral market, the healthcare sector is the most efficient in the short run, and the financial sector is the most efficient in the long run. During the Covid-19 period, in the conventional sectoral market, the financial sector was the most efficient in the short run, and the utility sector was the most efficient in the long run.