{"title":"给予胜于接受:金砖国家股市研究","authors":"Pradiptarathi Panda, W. Ahmad, M. Thiripalraju","doi":"10.1177/09726527231154100","DOIUrl":null,"url":null,"abstract":"This study uses the MGARCH-BEKK model and Diebold–Yilmaz (DY) volatility spillover index to examine volatility spillovers among BRICS countries’ stock markets. The study finds that the own volatility spillover is more than the cross-markets and has increased during the financial crisis. In contrast, the cross-markets volatility spillovers have decreased after the financial crisis. The total net return spillover increased during the crisis period (27.30%) and the pre-crisis period (25.50%) in comparison with the post-crisis period (6.30%) and the whole sample period (10.70%). Brazil is the highest net volatility transmitter among the BRICS countries’ stock markets, and China is the highest net volatility receiver. We learned from the volatility network connectedness that China is highly connected with India regarding volatility. Foreign institutional investors may use this study’s result to find diversification opportunities across the BRICS stock markets. JEL Codes: F3, G11, G12, G15","PeriodicalId":44100,"journal":{"name":"Journal of Emerging Market Finance","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Better to Give than to Receive: A Study of BRICS Countries Stock Markets\",\"authors\":\"Pradiptarathi Panda, W. Ahmad, M. Thiripalraju\",\"doi\":\"10.1177/09726527231154100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study uses the MGARCH-BEKK model and Diebold–Yilmaz (DY) volatility spillover index to examine volatility spillovers among BRICS countries’ stock markets. The study finds that the own volatility spillover is more than the cross-markets and has increased during the financial crisis. In contrast, the cross-markets volatility spillovers have decreased after the financial crisis. The total net return spillover increased during the crisis period (27.30%) and the pre-crisis period (25.50%) in comparison with the post-crisis period (6.30%) and the whole sample period (10.70%). Brazil is the highest net volatility transmitter among the BRICS countries’ stock markets, and China is the highest net volatility receiver. We learned from the volatility network connectedness that China is highly connected with India regarding volatility. Foreign institutional investors may use this study’s result to find diversification opportunities across the BRICS stock markets. JEL Codes: F3, G11, G12, G15\",\"PeriodicalId\":44100,\"journal\":{\"name\":\"Journal of Emerging Market Finance\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Emerging Market Finance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09726527231154100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Emerging Market Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09726527231154100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Better to Give than to Receive: A Study of BRICS Countries Stock Markets
This study uses the MGARCH-BEKK model and Diebold–Yilmaz (DY) volatility spillover index to examine volatility spillovers among BRICS countries’ stock markets. The study finds that the own volatility spillover is more than the cross-markets and has increased during the financial crisis. In contrast, the cross-markets volatility spillovers have decreased after the financial crisis. The total net return spillover increased during the crisis period (27.30%) and the pre-crisis period (25.50%) in comparison with the post-crisis period (6.30%) and the whole sample period (10.70%). Brazil is the highest net volatility transmitter among the BRICS countries’ stock markets, and China is the highest net volatility receiver. We learned from the volatility network connectedness that China is highly connected with India regarding volatility. Foreign institutional investors may use this study’s result to find diversification opportunities across the BRICS stock markets. JEL Codes: F3, G11, G12, G15
期刊介绍:
The Journal of Emerging Market Finance is a forum for debate and discussion on the theory and practice of finance in emerging markets. While the emphasis is on articles that are of practical significance, the journal also covers theoretical and conceptual aspects relating to emerging financial markets. Peer-reviewed, the journal is equally useful to practitioners and to banking and investment companies as to scholars.