Journals / Adam Akademi Sosyal Bilimler Dergisi / 2026 / Cilt: 16 Sayı: 1

Return and Volatility Spillovers between XU100 and US Stock Markets

BIST100 ile ABD Hisse Senedi Piyasaları Arasında Getiri ve Volatilite Yayılımı

Ömer Kalav(İstanbul Gedik Üniversitesi İİSBF İşletme Bölümü,)0000-0002-3098-8086
Pages
75–92
Publication Date
2026-05-14
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Keywords: Volatility Spillover, BIST100, NASDAQ, Dow Jones, DCC-GARCH, BEKK-GARCH JEL Codes: G15, C58

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The integration of financial markets means that economic events in one part of the world can have ripple effects globally.
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Key Findings & Data:By using daily closing price, this study aims to examine the time-varying and Spillover effect between the XU100, NASDAQ and Dow Jones indices over the period between 03/13/2015 and 03/13/2024.
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Conclusion & Impact:Keywords: Volatility Spillover, BIST100, NASDAQ, Dow Jones, DCC-GARCH, BEKK-GARCH JEL Codes: G15, C58
🔬Design:Modeling & Simulation
📍Scope:2015 Verileri
⚙️Variables:XU100 · NASDQ · Dow jones

Abstract

The integration of financial markets means that economic events in one part of the world can have ripple effects globally. A financial crisis in a major economy such as US. economy can lead to reduced investor confidence worldwide, impacting stock markets, currency values, and economic growth in various countries. By using daily closing price, this study aims to examine the time-varying and Spillover effect between the XU100, NASDAQ and Dow Jones indices over the period between 03/13/2015 and 03/13/2024. The results of BEKK-GARCH model show that volatility shocks of returns in US stock market namely NASDAQ and DOW Jones transferred to Turkish stock markets (XU100). Also, there is spillover effect from US stock market to XU100. This effect in one-side. Based on DCC-GARCH results there is generally positive relationship between returns of US stock market and XU100 return. In additional, although there is no any long run relationship between price of two stock market, there is long run relationship between returns of two markets. These results can help investors and market participants understand how risks and returns interact in different markets. It can also provide an important source of information for developing effective portfolio management strategies. Keywords: Volatility Spillover, BIST100, NASDAQ, Dow Jones, DCC-GARCH, BEKK-GARCH JEL Codes: G15, C58

Özet

Finansal piyasaların giderek artan entegrasyonu, bir ülkede meydana gelen ekonomik gelişmelerin diğer ülkelerin finansal piyasalarını etkilemesine yol açmaktadır. Bu çalışma, Türkiye hisse senedi piyasasını temsil eden BIST100 endeksi ile ABD hisse senedi piyasalarını temsil eden NASDAQ ve Dow Jones endeksleri arasındaki getiri ve volatilite yayılım ilişkisini incelemeyi amaçlamaktadır. Çalışmada 13 Mart 2015 ile 13 Mart 2024 tarihleri arasındaki günlük kapanış verileri kullanılmıştır. Analizde volatilite yayılım etkilerini belirlemek amacıyla BEKK-GARCH modeli, zamanla değişen korelasyon yapısını incelemek için ise DCC-GARCH modeli uygulanmıştır. Ayrıca uzun dönem ilişkilerin varlığı ARDL sınır testi ve Johansen eş bütünleşme testi ile analiz edilmiştir. Elde edilen bulgular, ABD hisse senedi piyasalarından BIST100 endeksine doğru tek yönlü volatilite yayılımı olduğunu göstermektedir. Ayrıca piyasalar arasında genel olarak pozitif yönlü bir getiri ilişkisi tespit edilmiştir. Uzun dönem analiz sonuçları ise fiyat serileri arasında eş bütünleşme bulunmadığını ancak getiri serileri arasında uzun dönemli bir ilişki olduğunu ortaya koymaktadır Anahtar Kelimeler: Volatilite Yayılımı, BIST100, NASDAQ, Dow Jones, DCC-GARCH, BEKK-GARCH JEL Kodu: G15, C58

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Cite This Article

Kalav, Ö. (2026). Return and Volatility Spillovers between XU100 and US Stock Markets. Adam Akademi Sosyal Bilimler Dergisi, Cilt: 16 Sayı: 1, 75–92. https://doi.org/10.31679/adamakademi.1540706

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