Bozma, Gürkanİmamoğlu, İlyas KaysKünü, Serkan2024-10-042024-10-0420231306-21741306-3553https://search.trdizin.gov.tr/tr/yayin/detay/1216837http://hdl.handle.net/20.500.12403/4314The aim of this study is to investigate the volatility spillover between EAGLE stock market indices using the method proposed by Diebold and Yilmaz (2009, 2012). To achieve this aim, EAGLE stock market data was collected from the DataStream database for the period from 2005 to 2019. The Granger causality test was applied using the VAR model, and it was found that there are various causality relationships between countries. The findings indicate that, while the total volatility spillover index was approximately 10% in 2005, it nearly tripled during the financial crisis. The US debt crisis and the economic contraction in the Eurozone caused the total volatility spillover index to reach its maximum level of approximately 40%, and it continued to decrease until 2019. Turkey, Brazil, India, and Indonesia were found to be the net receivers of volatility, while China, Russia, and Mexico were identified as the net transmitters of volatility.eninfo:eu-repo/semantics/openAccessEAGLE marketVolatility spilloverMarket linkageVARBRICMITDynamic Volatility Spillover Among Emerging EAGLE MarketsArticle1923163361216837