BIST VE ULUSLARARASI HİSSE SENEDİ PİYASALARI ARASINDAKİ VOLATİLİTE GEÇİŞİ ÜZERİNE BİR AMPİRİK UYGULAMA

Bu çalışmada Türkiye hisse senedi piyasası ile beş gelişmekte olan ülke ve beş gelişmiş ülke piyasaları arasındaki volatilite yayılma etkisi, iki değişkenli vektör otogregresyon-genelleştirilmiş otoregresif şartlı değişken varyans [VAR(p)-GARCH(1,1)-BEKK] modeli kullanılarak araştırılmıştır. Her bir ülkeye ait, 1.7.1997- 14.3.2013 tarihleri arasındaki, hisse senedi gösterge endekslerinin 4022 günlük getiri serileri kullanılarak Türkiye hisse senedi piyasası ile ABD, İngiltere, Almanya, Fransa, Japonya, Güney Kore, Brezilya, Arjantin, Rusya ve Çin hisse senedi piyasaları arasındaki ortak volatilite hareketliliği ve yayılma etkisi incelenmiştir. Sonuç olarak, Borsa İstanbul ile DAX30 arasında düşük, fakat RTSI ile güçlü iki taraflı volatilite yayılma etkisi tespit edilmiştir.

AN EMPIRICAL ANALYSIS OF VOLATILITY TRANSMISSION BETWEEN BIST AND INTERNATIONAL STOCK MARKETS

This paper empirically examines the transmission of volatility among Turkish equity market and fiveemerging markets and also five developed markets using bivariate vector auto regression-generalizedautoregressive conditional heteroscedasticity [VAR(p)-GARCH(1,1)-BEKK] model. Using 4022 dailyreturns of benchmark stock market indices, from 1.7.1997 to 14.3.2013, volatility co-movement andspillover between the Turkish stock market and the markets of US, UK, Germany, France, Japan, SouthKorea, Brazil, Argentina, Russia and China is investigated. Results showed that BIST has a weak marketinterdependence with DAX30 but strong bidirectional volatility spillover with RTSI.

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  • Zhang J., Wan, J., and Zhang, Y. (2013). Volatility spillovers between equity and bond markets: evidence from G7 and BRICS. Romanian Journal of Economic Forecasting 16, 205-217.
  • Zahnd, E., & Schweiz, N. (2002). The application of multivariate GARCH models to turbulent financial markets. University of Basel, Faculty of Economics and Business (WWZ) 4003 Basel, Switzerland.
  • Xu, J., & Lin KP. (2008). Sequential-BEKK multivariate GARCH model and its application in the stock market. Xiamen University working paper, 1-31.
  • Xiao, L., & Dhesi, G. (2010). Volatility spillover and time-varying conditional correlation between the European and US stock markets. Global Economy and Finance Journal, 148-164.
  • Worthington, A., & Higgs, H. (2004). Transmission of equity returns and volatility in Asian developed and emerging markets: a multivariate GARCH analysis. International Journal of Finance and Economics, 71-80.
  • Schmidth, A. (2005). Quantitative finance for physicists an introduction. USA, Academic Press. Schwert, G. W. (1990). Stock volatility and the crash. Review of Financial Studies, 77-102.
  • Theodossiou, P., & Lee, U. (1993). Mean and volatility spillovers across major national stock markets: further empirical evidence. Journal of Financial Research, 337–350.
  • Taştan, H. (2005). Dynamic interdependence and volatility transmission in Turkey and European equity markets. Turkish Economic Association, Discussion Paper.
  • Taşdemir, M., & Yalama, A. (2010). Inter-regional volatility spillovers between emerging capital markets: evidence from Turkey and Brazil. Turkish Economic Association Discussion Paper, No. 2010/8.
  • Susmel, R., & Engle, R. F. (1994). Hourly volatility spillovers between international equity markets. Journal of International Money and Finance, 3–25.
  • Perron, P. (1990). Testing for a unit root in a time series with a changing mean. Journal of Business and Economic Statistics, 153-162.
  • Ng, A. (2000). Volatility spillover effects from Japan and the US to the Pacific-Basin. Journal of International Money and Finance, 207-233.
  • Ng, L. (1991). Tests of the CAPM with time-varying covariances: a multivariate GARCH approach. The Journal of Finance, 1507-1521.
  • Nelson, D. B. (1991). Conditional heteroscedasticity in asset returns: a new approach. Econometrica, 347-370.
  • Miyakoshi T. (2003). Spillovers of stock return volatility to Asian equity markets from Japan and the US. International Financial Markets, Institutions and Money, 383-399.
  • Lucey, B. M., & Voronkova, S. (2006). The relations between emerging European and developed stock markets before and after the Russian crisis of 1997-1998, In: J.A. Batten and C. Kearney (eds.), emerging European financial markets: independence and integration post enlargement. International Finance Review, 383- 413.
  • Lin, W. L., Engle, R. F., & Ito, T. (1994). Do bulls and bears move across borders? international transmission of stock returns and volatility. Review of Financial Studies 7, 507–538.
  • Korkmaz, T., & Çevik, E. İ. (2009). Zımni volatilite endeksinden gelişmekte olan piyasalara yönelik volatilite yayılma etkisi. BDDK Bankacılık ve Finansal Piyasalar, 87-105.
  • King, M. & Wadhwani, S. (1990). Transmission of volatility between stock markets. Review of Financial Studies, 5-33.
  • Kim, S., & Rui, M. (1999). Price, Volume and Volatility Spillovers Among New York, Tokyo and London Stock Markets, International Journal of Business, 41-61.
  • Karolyi, G. (1995). A multivariate GARCH model of international transmissions of stock returns and volatility: the case of the United States and Canada. Journal of Business and Economic Statistics, 11-25.
  • Kang, S. H., & Yoon, S. M. (2011). The global financial crisis and the integration of emerging stock markets in Asia. Journal of East Asian Economic Integration, 49-73.
  • Kanas, A. (1998). Volatility spillovers across equity markets: European evidence. Applied Financial Economics, 245-256.
  • Haroutounian, M., & Price, S. (2001). Volatility in transition markets of central Europe. Applied Financial Economics, 11, 93-105.
  • Hansson, B., & Hordahl, P. (1998). Testing the conditional CAPM using multivariate GARCH–M. Applied Financial Economics, 377-388.
  • Hamao, Y., Masulis, R., & Ng, V. (1990). Correlations in price changes and volatility across international stock markets. Review of Financial Studies, 281-307.
  • Fedorova, E., & Kashif, S. (2010). Volatility spillovers between stock and currency markets: evidence from emerging eastern Europe. Czech Journal of Economics and Finance (Finance a uver), 519-533.
  • Evlimoğlu, U., & Çondur, F. (2012). İMKB ile bazı gelişmiş ve gelişmekte olan ülke borsaları arasındaki karşılıklı bağlantıların küresel kriz öncesi ve sonrası dönem için incelenmesi. Uludağ Journal of Economy and Society, Uludağ Üniversitesi, 31-58.
  • Eun, C., & Shim, S. (1989). International transmission of stock market movements. Journal of Financial and Quantitative Analysis, 241-256.
  • Engle, R. F. (2002). Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroscedasticity models. Journal of Business and Economic Statistics, 339-350.
  • Engle, R. F. & Kroner, K. F. (1995). Multivariate simultaneous GARCH. Econometric Theory, 122-150.
  • Engle, R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of UK inflation. Econometrica, 987-1008.
  • Dornbusch, R., & Claessens, S. (2000). Contagion: how it spreads and how it can be stopped. World Bank Research Observer, 177-197.
  • Diebold, F. X., & Yılmaz, K. (2008). Measuring financial asset return and volatility spillovers, with application to global equity markets. The Economic Journal, 158–171.
  • Dickey, D.A., & Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 1057-1072.
  • Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 427-431.
  • Chou, R.Y., Lin, J. L., & Wu, C. S. (1999). Modelling the Taiwan stock market and international linkages. Pasific Economic Review, 305-320.
  • Brailsford, T, J. (1996). Volatility spillovers across the Tasman. Australian Journal of Management, 13-27.
  • Bozkurt, I., & Akman, E. (2016). Financial integration into EU: the Romanian case. Amfiteatru Economic, 18(42), 269.
  • Bollerslev, T., Engle, R. F., & Wooldridge, J. M. (1988). A capital asset pricing model with time-varying covariances. The Journal of Political Economy, 116–131.
  • Bollerslev, T. (1986). Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 307- 327.
  • Bai, J., & Perron, P. (2003b). Critical values for multiple structural change tests. Econometrics Journal, 1-7.
  • Bai, J., & Perron, P. (2003a). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 1-22.
  • Baele, L. (2004). Volatility spillover effects in European equity markets. Journal of Financial and Quantitative Analysis, 373-402.
  • Baele, L. (2002). Volatility spillover effects in European equity markets: evidence from a regime switching model. Mimeo, Ghent University.
  • Arifin, J., & Normansyah S. (2011). Volatility spillovers between equity and currency markets in ASEAN-5 countries during crises. (http://www.opf.slu.cz/kfi/icfb/proc-2011/programme.html, Accessed on December, 2013).
  • Akman, E. (2016). Impacts of Euro/USD volatility on steel prices of Turkey. Ecoforum Journal, 133-139.
Ekonomik ve Sosyal Araştırmalar Dergisi-Cover
  • ISSN: 1306-2174
  • Yayın Aralığı: Yılda 2 Sayı
  • Başlangıç: 2005
  • Yayıncı: Abant İzzet Baysal Üniversitesi İktisadi ve İdari Bilimler Fakültesi