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

Öz

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.

Anahtar Kelimeler

• Volatility Spillover
• Spillover Effect
• Diagonal BEKK-GARCH
• Turkish Stock Market
• Global Stock Markets

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

Öz

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.

Anahtar Kelimeler

• Volatilite Yayılımı
• Yayılım Etkisi
• Diagonal BEKK-GARCH
• Türk Hisse Senedi Piyasası
• Küresel Hisse Senedi Piyasaları.

Kaynakça

1. Abounoori, E., and Tour, M. (2019). “Stock market interactions among Iran, USA, Turkey, and UAE”, Physica A: Statistical mechanics and its applications, 524, 297-305.
2. Aggarwal, K., and Saradhi, V. R. (2024). “A Study on the Co-Movement and Influencing Factors of Stock Markets between India and the Other Asia–Pacific Countries”, International Journal of Emerging Markets.
3. 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.
4. Alaoui Mdaghri, A., Raghibi, A., Thanh, C. N., and Oubdi, L. (2021). “Stock market liquidity, the great lockdown and the COVID-19 global pandemic nexus in MENA countries”, Review of Behavioral Finance, 13(1), 51-68.
5. Alkan, B., and Çiçek, S. (2020). “Spillover Effect in Financial Markets in Turkey”, Central Bank Review, 20(2), 53-64.
6. Aslam, F., Ferreira, P., Mughal, K. S., and Bashir, B. (2021). “Intraday Volatility Spillovers among European Financial Markets during COVID-19”, International Journal of Financial Studies, 9(1),
7. Anyikwa, I. C., and Phiri, A. (2023). “Dynamics of Return and Volatility Spill-Over between Developed, Emerging and African Equity Markets during the COVID-19 Pandemic and Russia–Ukraine War”, Studies in Economics and Econometrics, 1-25.
8. Ayadi, C., and Said B. H. (2023). “COVID-19 pandemic and stock market volatility spillovers”. Journal of Financial Reporting and Accounting, 1985-2517.

9. Barua, S. (2020). “Understanding Coronanomics: The economic implications of the coronavirus (COVID-19) pandemic”, Available at SSRN 3566477.
10. Bayramoğlu, M. F., and Abasız, T. (2017). “Gelişmekte olan Piyasa Endeksleri Arasında Volatilite Yayılım Etkisinin Analizi”, Muhasebe ve Finansman Dergisi, (74), 183-200.
11. Belasri, Y. and Ellaia, R (2017). “Estimation of Volatility and Correlation with Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models: An Application to Moroccan Stock Markets”, International Journal of Economics and Financial Issues, 7(2), 384-396.
12. Belke, A., and Dubova, I. (2018). “International spillovers in global asset markets”, Economic Systems, 42(1), 3-17.
13. Bhar, R., and Nikolova, B. (2007). “Analysis of mean and volatility spillovers using BRIC countries, regional and world equity index returns”, Journal of Economic Integration, 369-381.
14. Bollerslev, T. Engle, R. F. and Wooldridge, J. M. (1988), “A Capital Asset Pricing Model With Time-Varying Covariances”, Journal of Political Economy, 96(1), 116-131.
15. Bollerslev, T. (1986). “Generalized autoregressive conditional heteroskedasticity”, Journal of econometrics, 31(3), 307-327.
16. Bollerslev, T. (1990), “Modelling the coherence in short-run nominal exchange rates: a multivariate generalized approach”, Review of Economics and Statistics, 72, 498-505.
17. Bollerslev, T. and Hodrick, R.J. (1995). “Financial market efficiency tests”, Handbook of Applied Econometrics, Vol. 1, 415-458.
18. 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.
19. 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.
20. 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.
21. 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.
22. Diebold, F. X., and Yilmaz, K. (2012). “Better to give than to receive: Predictive directional measurement of volatility spillovers”, International Journal of forecasting, 28(1), 57-66.
23. Engle, R. (2001), “GARCH 101: The Use Of ARCH/GARCH Models In Applied Econometrics”, Journal of Economic Perspectives, 15(4), 157-168.
24. Engle, R. F. (1982). “Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation”, Econometrica: Journal of the econometric society, 987-1007.
25. Engle, R. F. and Kroner, K. F. (1995). “Multivariate Simultaneous Generalized ARCH”, Econometric Theory, 11(1), 122-150.
26. 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.
27. 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/
28. Eun, C. S., and Shim, S. (1989). “International transmission of stock market movements”, Journal of Financial and Quantitative Analysis, 24(2), 241-256.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. Khan, M., Khan, M., Kayani, U. N., Mughal, K. S., and Mumtaz, R. (2023). “Unveiling Market Connectedness: Dynamic Returns Spillovers in Asian Emerging Stock Markets”, International Journal of Financial Studies, 11(3), 112.
36. Kırkulak Uludag, B., and Khurshid, M. (2019). “Volatility spillover from the Chinese stock market to E7 and G7 stock markets”, Journal of Economic Studies, 46(1), 90-105.
37. Kocaarslan, B. (2020). “ABD Finansal Piyasalarındaki Gelişmelerin ve Belirsizliklerin Borsa İstanbul Üzerindeki Asimetrik Etkileri”, Anemon Muş Alparslan Üniversitesi Sosyal Bilimler Dergisi, 8, 33-42.
38. Korkmaz, T., and Çevik, E. İ. (2009). Zımni volatilite endeksinden gelişmekte olan piyasalara yönelik volatilite yayılma etkisi. BDDK Bankacılık ve Finansal Piyasalar, 3(2), 87-105.
39. Koutmos, G., and Booth, G. G. (1995). “Asymmetric volatility transmission in international stock markets”, Journal of international Money and Finance, 14(6), 747-762.
40. Kumar, R. M., and Koushik, K. (2023). “Volatility Spillover between Russia and European Stock Markets”, Current Research in Mutual Funds and Stock Market, 7.
41. Kutlu, M., and Karakaya, A. (2021). “Return and volatility spillover effects between the Turkey and the Russia stock market”, Journal of Economic and Administrative Sciences, 37(4), 456-470.
42. Lee, B. S., and Rui, O. M. (2002). “The dynamic relationship between stock returns and trading volume: Domestic and cross-country evidence”, Journal of Banking & Finance, 26(1), 51-78.
43. Li, J., Wang, R., Aizhan, D., and Karimzade, M. (2023). “Assessing the Impacts of COVID-19 on Stock Exchange, Gold Prices, and Financial Markets: Fresh Evidences from Econometric Analysis”, Resources Policy, 83,
44. Li, L., Yin, L., and Zhou, Y. (2016). “Exogenous shocks and the spillover effects between uncertainty and oil price”, Energy Economics, 54, 224-234.103617.
45. Li, W. (2021). “COVID-19 and asymmetric volatility spillovers across global stock markets”, The North American Journal of Economics and Finance, 58, 101474.
46. Li, W., Chien, F., Kamran, H.W., Aldeehani, T.M., Sadiq, M., Nguyen, V.C. and Taghizadeh-Hesary, F. (2022), “The nexus between covid-19 fear and stock market volatility”, Economic ResearchEkonomska Istraživanja, 35 (1), 1765-1785
47. Li, Y., and Giles, D. E. (2015). “Modelling volatility spillover effects between developed stock markets and Asian emerging stock markets”, International Journal of Finance & Economics, 20(2), 155-177.
48. Liu, C. (2016). “Spillover effects in major equity markets: A GARCH BEKK approach”, Open Access Library Journal, 3(02), 1–21.
49. Liu, Q., Xu, C., and Xie, J. (2024). “Comparative Analysis of Spillover Effects in the Global Stock Market under Normal and Extreme Market Conditions”, International Journal of Financial Studies, 12(2), 53.
50. Liu, X., An, H., Li, H., Chen, Z., Feng, S., and Wen, S. (2017). “Features of spillover networks in international financial markets: evidence from the G20 countries”, Physica A: Statistical Mechanics and its Applications, 479, 265-278.
51. Markowitz, H.M. (1952). “Portfolio Selection”, The Journal of Finance. Blackwell Publishing, 7(1), 77-91.
52. Maurya, P. K., Bansal, R., and Mishra, A. K. (2024). “Dynamic connectedness among market volatilities: a perspective of COVID-19 and Russia-Ukraine conflict”, Studies in Economics and Finance.
53. Mensi, W., Hammoudeh, S., Reboredo, J. C., and Nguyen, D. K. (2014). “Do global factors impact BRICS stock markets? A quantile regression approach”, Emerging Markets Review, 19, 1-17.
54. Mensi, W., Shafiullah, M., Vo, X. V., and Kang, S. H. (2021). “Volatility spillovers between strategic commodity futures and stock markets and portfolio implications: Evidence from developed and emerging economies”, Resources Policy, 71, 102002.
55. Mezghani, T., Ben Hamadou, F., and Boujelbène Abbes, M. (2021). “The dynamic network connectedness and hedging strategies across stock markets and commodities: COVID-19 pandemic effect”, Asia-Pacific Journal of Business Administration, 13(4), 520-552.
56. Nandy, S., and Chattopadhyay, A. K. (2019). ‘Indian stock market volatility’: A study of inter-linkages and spillover effects. Journal of Emerging Market Finance, 18(2_suppl), S183-S212.
57. Özdemir, L. (2020), "Testing for Asymmetric Causality Between Developed and Emerging Markets", Özen, E. and Grima, S. (Ed.) Uncertainty and Challenges in Contemporary Economic Behaviour (Emerald Studies in Finance, Insurance, and Risk Management), Emerald Publishing Limited, Leeds, 145-158.
58. Özün, A., and Ertuğrul, H. (2014). “Variance-Based Spillover Analysis between Stock Markets: A Time Varying Parameter Approach”, Acta Physica Polonica A, 125(1), 155-157.
59. Pan, Q., Mei, X., and Gao, T. (2022). “Modeling dynamic conditional correlations with leverage effects and volatility spillover effects: Evidence from the Chinese and US stock markets affected by the recent trade friction”, The North American Journal of Economics and Finance, 59, 101591.
60. Panda, A. K., Nanda, S., and Paital, R. R. (2019). “An empirical analysis of stock market interdependence and volatility spillover in the stock markets of Africa and Middle East region”, African Journal of Economic and Management Studies, 10(3), 314–335.
61. Panda, P., Vasudevan, S., and Panda, B. (2021). “Dynamic connectedness among BRICS and major countries stock markets”, Journal of Public Affairs, 21(3), e2265.
62. Prasad, S. S., Verma, A., Bakhshi, P., and Prasad, S. (2023). “Global Stock Market Volatility and Its Spillover on the Indian Stock Market: A Study Before and During the COVID-19 Period”, FIIB Business Review, 23197145231189600.
63. Rastogi, S., and Kanoujiya, J. (2024). “Impact of cryptos on the inflation volatility in India: an application of bivariate BEKK-GARCH models”, Journal of Economic and Administrative Sciences, 40(2), 221-237.
64. Sahoo, S., and Kumar, S. (2024). “Volatility spillover among the sectors of emerging and developed markets: a hedging perspective”, Cogent Economics & Finance, 12(1), 2316048.
65. Sajeev, K. C., and Afjal, M. (2022). “Contagion effect of cryptocurrency on the securities market: A study of Bitcoin volatility using diagonal BEKK and DCC GARCH models”, SN Business & Economics, 2(6), 57.
66. Sinlapates, P., and Chancharat, S. (2024). “Persistence and volatility spillovers of Bitcoin to other leading cryptocurrencies: a BEKK-GARCH analysis”, Foresight, 26(1), 84-97.
67. Sezen, S., and Çevik, E. İ. (2024). “Hisse Senedi Piyasaları Arasında Yayılma Etkisinin Analizi”, Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 11(1), 19-50.
68. Tien, H. T., and Hung, N. T. (2022). “Volatility Spillover Effects between Oil and GCC Stock Markets: A Wavelet-Based Asymmetric Dynamic Conditional Correlation Approach”, International Journal of Islamic and Middle Eastern Finance and Management, 15(6), 1127-1149.
69. Tsay, R. S. (2005). Analysis of Financial Time Series. The University of Chicago- Booth School of Business. John wiley & sons INC., Publication. 3rd edition, Chicago, IL.
70. Tsuji, C. (2024). “The historical transition of return transmission, volatility spillovers, and dynamic conditional correlations: A fresh perspective and new evidence from the US, UK, and Japanese stock markets”, Quantitative Finance and Economics, 8(2), 410-436.
71. Vo, X. V., and Tran, T. T. A. (2020). “Modelling volatility spillovers from the US equity market to ASEAN stock markets”, Pacific-Basin Finance Journal, 59, 101246.
72. Wang, Y., Bouri, E., Fareed, Z., and Dai, Y. (2022). “Geopolitical risk and the systemic risk in the commodity markets under the war in Ukraine”, Finance Research Letters, 49, 103066.
73. Wu, F. L., Zhan, X. D., Zhou, J. Q., and Wang, M. H. (2023). “Stock Market Volatility and Russia–Ukraine Conflict”, Finance Research Letters, 55: 103919.
74. Yadav, M. P., Sharma, S., and Bhardwaj, I. (2023). “Volatility Spillover between Chinese Stock Market and Selected Emerging Economies: A Dynamic Conditional Correlation and Portfolio Optimization Perspective”, Asia-Pacific Financial Markets, 30(2), 427-444.
75. Yıldırım, D., and Çelik, A. K. (2020). “Stock Market Volatility and Structural Breaks: An Empirical Analysis of Fragile Five Countries Using GARCH and EGARCH Models”, Journal of Applied Economics and Business Research, 10(3), 148-163.
76. Yılmaz, K. (2010). “Return and volatility spillovers among the East Asian equity markets”, Journal of Asian Economics, 21(3), 304-313.
77. Yuan, Y., and Du, X. (2023). “Dynamic spillovers across global stock markets during the COVID-19 pandemic: Evidence from jumps and higher moments”, Physica A: Statistical Mechanics and its Applications, 628, 129166.
78. Yousef, I. (2020). “Spillover of COVID-19: Impact on Stock Market Volatility”, International Journal of Psychosocial Rehabilitation, 24(6), 18069-18081.
79. Yousaf, I., Mensi, W., Vo, X. V., and Kang, S. H. (2024). “Dynamic spillovers and connectedness between crude oil and green bond markets”, Resources Policy, 89, 104594.
80. Zhang, D., Hu, M., and Ji, Q. (2020). “Financial markets under the global pandemic of COVID-19”, Finance research letters, 36, 101528.
81. Zhang, W., and Hamori, S. (2021). “Crude oil market and stock markets during the COVID-19 pandemic: Evidence from the US, Japan, and Germany”, International Review of Financial Analysis, 74, 101702.
82. Zhong, Y., and Liu, J. (2021). “Correlations and volatility spillovers between China and Southeast Asian stock markets”, The Quarterly Review of Economics and Finance, 81, 57-69.
83. Zhou, Y., Wu, S., and Liu, Z. (2023). “Does the COVID-19 pandemic strengthen the volatility spillovers across global stock markets?”, International Journal of Financial Engineering, 2350043.