Dynamic Volatility Spillover Among Emerging EAGLE Markets

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Özet

The 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.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/16522Resmi atıflarda kullanılan kalıcı adres
İndeks kayıtları
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.
Atıflar
TR Dizin
1
Her kaynağın kendi saydığı toplam atıf; aktarım ve zenginleştirme sırasında alındı.
Tam Kayıt
AlanDeğerDil
dc.contributor.authorBozma, Gürkan
dc.contributor.authorKünü, Serkan
dc.contributor.authorİmamoğlu, İlyas Kays
dc.date.accessioned2026-10-29T19:24:51.997143224Z
dc.date.available2026-10-29T19:24:51.997143224Z
dc.date.issued2023
dc.description.abstractThe 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.
dc.identifier.eissn1306-3553
dc.identifier.endpage336
dc.identifier.issn1306-2174
dc.identifier.issue2
dc.identifier.startpage316
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/16522
dc.identifier.volume19
dc.language.isoen
dc.relation.ispartofEkonomik ve Sosyal Araştırmalar Dergisi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBilgisayar Bilimleri, Yazılım Mühendisliği
dc.subjectMalzeme Bilimleri, Tekstil
dc.subjectİşletme
dc.subjectMühendislik, Kimya
dc.subjectİktisat
dc.subjectİşletme Finans
dc.titleDynamic Volatility Spillover Among Emerging EAGLE Markets
dc.typeArticle
rdl.citation.trdizin1
rdl.source.indexTRDIZIN