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KRİZ DÖNEMLERİNDE HİSSE SENEDİ PİYASALARI ARASINDA VOLATİLİTE YAYILMA ETKİLERİ: DIAGONAL BEKK MODELİ

Year 2024, Issue: 2024, 229 - 246
https://doi.org/10.30794/pausbed.1462608

Abstract

Finansal piyasa varlıklarının getirisindeki bir artış, arbitraj koşulları nedeniyle zaman içinde diğer varlıkların getirilerinde değişikliklere yol açabilir. Sonuç olarak, bu olgu finansal piyasalardaki varlıkların volatiliteleri arasında oynaklık yayılma etkilerini veya eşbütünleşmeyi tetikleyebilir. Bu çalışmanın amacı, COVID-19 salgını ve Rusya-Ukrayna savaşı sırasında Amerika, Avrupa, Rusya ve Türkiye hisse senedi piyasaları arasındaki volatilite yayılımını araştırmaktır. Diagonal BEKK-GARCH modelini 2020'den 2023'e kadar uygulayarak, hisse senedi getirilerindeki volatilite aktarımları incelemektedir. Sonuçlar,kısmi ARCH etkilerinin yanı sıra belirgin GARCH etkilerini ortaya koymaktadır. Özellikle, COVID-19 döneminde Avrupa piyasası diğer piyasalar üzerinde en önemli etkiyi gösterirken, savaş döneminde ABD piyasası baskın olmuş ve Türkiye piyasaları iki dönem boyunca en az etkiyi göstermiştir. Ayrıca sonuçlar, Rusya-Ukrayna savaşı döneminde gecikmeli çapraz volatilite kalıcılığının COVID-19 dönemine kıyasla daha düşük olduğunu göstermektedir.

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VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH

Year 2024, Issue: 2024, 229 - 246
https://doi.org/10.30794/pausbed.1462608

Abstract

A rise in the yield of financial market assets could lead to variations in the returns of other assets over time due to arbitrage conditions. Consequently, this phenomenon may trigger spillover effects or cointegration among the volatilities of assets within financial markets. The aim of this study is to investigate spillover effects among American, European, Russian, and Turkish stock markets during the COVID-19 pandemic and the Russia-Ukraine war. Employing the diagonal BEKK-GARCH model from 2020 to 2023, the volatility transmissions within stock returns is examined. The results reveal significant GARCH effects alongside modest ARCH effects. Notably, during the COVID-19 period, the European market exerted the most significant influence on other markets, whereas during the war period, the US market dominated, and Turkish markets displaying the least impact for two periods. Furthermore, the findings indicate that the lagged cross-volatility persistence is lower during the Russia-Ukraine war period compared to the COVID-19 period.

References

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  • Akarsu, G. (2022). “Volatility Spillover among BIST Sector Indices, SP500 Index and USD/TRY Exchange Rate: Stochastic Volatility Modelling”, VI. Anadolu Uluslararası İktisat Kongresi Özetler Kitabı, (s73), 13-15.
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  • Barua, S. (2020). “Understanding Coronanomics: The economic implications of the coronavirus (COVID-19) pandemic”, Available at SSRN 3566477.
  • Bayramoğlu, M. F., and Abasız, T. (2017). “Gelişmekte olan Piyasa Endeksleri Arasında Volatilite Yayılım Etkisinin Analizi”, Muhasebe ve Finansman Dergisi, (74), 183-200.
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  • Bollerslev, T. (1990), “Modelling the coherence in short-run nominal exchange rates: a multivariate generalized approach”, Review of Economics and Statistics, 72, 498-505.
  • Bollerslev, T. and Hodrick, R.J. (1995). “Financial market efficiency tests”, Handbook of Applied Econometrics, Vol. 1, 415-458.
  • Bozma, G., İmamoğlu, İ. K., and Künü S. (2023). “Dynamic Volatility Spillover among Emerging Eagle Markets”, Ekonomik ve Sosyal Araştırmalar Dergisi, 19(2), 316-336.
  • Bozma, G. and Başar, S. (2018). “Analyzing Volatility Transmissions between Stock Markets of Turkey, Romania, Poland, Hungary and Ukraine using M-GARCH Model”, Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 36(4), 1-15.
  • Cheng, Z., Li, M., Cui, R., Wei, Y., Wang, S., and Hong, Y. (2024). “The impact of COVID-19 on global financial markets: A multiscale volatility spillover analysis”, International Review of Financial Analysis, 95, 103454.
  • Darrat, A. F. and Benkato, O. M. (2003). “Interdependence and volatility spillovers under market liberalization: The case of Istanbul stock exchange”, Journal of Business Finance & Accounting, 30(7‐8), 1089-1114.
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  • Engle, R. (2001), “GARCH 101: The Use Of ARCH/GARCH Models In Applied Econometrics”, Journal of Economic Perspectives, 15(4), 157-168.
  • Engle, R. F. (1982). “Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation”, Econometrica: Journal of the econometric society, 987-1007.
  • Engle, R. F. and Kroner, K. F. (1995). “Multivariate Simultaneous Generalized ARCH”, Econometric Theory, 11(1), 122-150.
  • Erer, E., Erer, D., and Korkmaz, Ö. (2019). “Farklı Rejimler Altında Türkiye, İngiltere, Amerika ve Euro Bölgesi Tahvil Piyasaları, Emtia Piyasası ve Döviz Piyasasından BIST100 Endeksine Volatilite Yayılımı”, BDDK Bankacılık ve Finansal Piyasalar Dergisi, 13(1), 77-103.
  • Erten, I., Tuncel, M. B., and Okay, N. (2012). “Volatility Spillovers in Emerging Markets during the Global Financial Crisis: Diagonal BEKK Approach”. https://mpra.ub.uni-muenchen.de/56190/
  • Eun, C. S., and Shim, S. (1989). “International transmission of stock market movements”, Journal of Financial and Quantitative Analysis, 24(2), 241-256.
  • Gheorghe, C., and Panazan, O. (2023). “Effects of Information Related to the Russia-Ukraine Conflict on Stock Volatility: An EGARCH Approach”, Cogent Economics and Finance, 11(2), 2241205.
  • Gong, X., Zeng, X., Xu, W., and Zhang, W. (2023). “Asymmetric risk spillovers and its determinants in global equity markets”, Physica A: Statistical Mechanics and its Applications, 624, 128926.
  • Gürsoy, S., and Eroğlu, Ö. (2016). “Yükselen Ekonomilerin Pay Piyasalari Arasında Getiri ve Volatilite Yayılımı: 2006-2015 Yıllari Arasında Yapılmış Bir Analiz”, Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 3(1), 16-33.
  • Jain, P., and Sehgal, S. (2019). “An examination of return and volatility spillovers between mature equity markets”, Journal of Economics and Finance, 43(1), 180-210.
  • Jude, O., Turgeman, A., Boțoc, C., and Miloș, L. R. (2023). “Volatility and Spillover Effects between Central–Eastern European Stock Markets and Energy Markets: An Emphasis on Crisis Periods”, Energies, 16(17), 6159.
  • Karğin, S., Kayalidere, K., Güleç, T. C., and Erer, D. (2018). “Spillovers of Stock Return Volatility to Turkish Equity Markets from Germany, France, and America”, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 20(2), 171-187.
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There are 83 citations in total.

Details

Primary Language English
Subjects Financial Risk Management
Journal Section Research Article
Authors

Nehir Balcı Yıldız 0000-0002-9317-7491

Early Pub Date November 21, 2024
Publication Date
Submission Date April 1, 2024
Acceptance Date November 4, 2024
Published in Issue Year 2024 Issue: 2024

Cite

APA Balcı Yıldız, N. (2024). VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(2024), 229-246. https://doi.org/10.30794/pausbed.1462608
AMA Balcı Yıldız N. VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH. PAUSBED. November 2024;(2024):229-246. doi:10.30794/pausbed.1462608
Chicago Balcı Yıldız, Nehir. “VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, no. 2024 (November 2024): 229-46. https://doi.org/10.30794/pausbed.1462608.
EndNote Balcı Yıldız N (November 1, 2024) VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 2024 229–246.
IEEE N. Balcı Yıldız, “VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH”, PAUSBED, no. 2024, pp. 229–246, November 2024, doi: 10.30794/pausbed.1462608.
ISNAD Balcı Yıldız, Nehir. “VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 2024 (November 2024), 229-246. https://doi.org/10.30794/pausbed.1462608.
JAMA Balcı Yıldız N. VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH. PAUSBED. 2024;:229–246.
MLA Balcı Yıldız, Nehir. “VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH”. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, no. 2024, 2024, pp. 229-46, doi:10.30794/pausbed.1462608.
Vancouver Balcı Yıldız N. VOLATILITY SPILLOVER EFFECTS BETWEEN STOCK MARKETS DURING THE CRISIS PERIODS: DIAGONAL BEKK APPROACH. PAUSBED. 2024(2024):229-46.