Alexander, C. (1999). Correlation and cointegration in energy markets. Managing energy price risk, 2.
Alexander, C., Giblin, I.& Weddington, W. (2002). Cointegration and asset allocation: A new active hedge fund strategy. ISMA Centre Discussion Papers in Finance Series, 40.
Bahng, S.& Shin, S. M. (2004). Interactions of stock markets within the greater China economic bloc. Global Economic Review, 33(3), 43-60.
Banerjee, P. Arčabić, V., and Lee, H., (2017) Fourier ADL cointegration test to approximate smooth breaks with new evidence from Crude Oil Market, Economic Modelling, dx.doi.org/10.1016/j.econmod.2016.11.004 Volume 67, 114-124.
Becker, B., R., Enders, W. and Lee, J.(2006), A Stationarity Test In The Presence Of An Unknown Number Of Smooth Breaks Journal Of Time Series Analysis, doi:10.1111/j.1467-9892.2006.00478.x, Vol. 27, No. 3. 381-409
Booth, G. G., Chowdhury, M., Martikainen, T., & Tse, Y. (1997). Intraday Volatility in International Stock Index Futures Markets: Meteor Showers or Heat Waves? Management Science, 11, 1564-1576.
Demirgil, H.T. & Gök, İ.T. (2014). Asymmetric Volatility Spillover Between Turkish and Major Eu Stock Markets. Journal of Management and Economic Research, 23, 315-340.
Dimitriou, D., Mpitsios, P. & Simos, T. (2011). Dynamic Linkages and
Interdependence Between Mediterranean Region EMU Markets During 2007 Financial Crisis. MPRA Paper No. 37476.
Enders, W., (2014), Applied Econometric Time Series, Fourth Edition, ISBN 978-1-118-80856-6 (pbk.), Wiley, United States of America.
Engle, R. F.& Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: Journal of the Econometric Society, 251-276.
Engle, R. F., Ito, T. & Lin, W. (1990). Meteor Showers or Heat Waves? Heteroskedastic Intra-Daily Volatility in the Foreign Exchange Market. Econometrica, 3, 525-542.
Erten, I., Tuncel, M. B.& Okay, N. (2012). Volatility Spillovers in Emerging Markets During the Global Financial Crisis: Diagonal BEKK Approach.
Gök, İ. Y. & Kalaycı, Ş. (2014). Bist 30 Spot ve Futures Piyasalarında Güniçi Fiyat Keşfi ve Volatilite Yayılımı.Suleyman Demirel University Journal of Faculty of Economics & Administrative Sciences, 19(3).
Gök, İ.Y.& Kalaycı, Ş. (2015). International Interactions between Index Futures Markets: Testing Meteor Shower and Heat Wave Hypotheses on Turkey and US Markets, Business & Economics Research Journal, 6(4), 39-53.
Gujarati, D. (2016), Econometrics by Example, Translated: Nasip Bolatoğlu, ISBN:978-605-9802-08-6. BB101 Publishing, Ankara.
Hassan, T., Nassir, A.B. & Mohamad, S. (2006). The Heat Waves of Meteor Showers Hypothesis: Test on Selected Asian Emerging and Developed Stock Markets. Investment Management and Financial Innovations, 3(1), 120-131.
Johansen, S.& Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration—with applications to the demand for money. Oxford Bulletin of Economics and statistics, 52(2), 169-210.
Kasa, K. (1992). Common stochastic trends in international stock markets. Journal of monetary Economics, 29(1), 95-124.
Kocabıyık, T. & Kalaycı, Ş. (2014). Interdependence Among Stock Markets: An Empirical Research on G-8 Countries and Turkey. Journal of Finance-Political & Economic Comments, 51(594), 37-56.
Korkmaz, T. & Çevik, E. İ. (2009). Volatility Spillover Effect from Volatility Implied Index to Emerging Markets. Journal Of BRSA Banking & Financial Markets, 3(2), 87-105.
Kutlar, A. (2017) Applied Time Series with Eviews, Umuttepe Publishing, 1st Edition, Kocaeli.
Mensi, W., Beljid, M. Baubaker, A & Managi, S. (2013) Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold, Economic Modelling 32, 15–22.
Miyakoshi, T. (2003). Spillovers of stock return volatility to Asian equity markets from Japan and the US. Journal Of International Financial Markets, Institutions & Money, (13), 383-399.
Pan, M. & Hsueh, L. P. (1998). Transmission of Stock Returns and Volatility between the U.S. and Japan: Evidence from the Stock Index Futures Markets. Asia-Pacific Financial Markets, 3, 211-225.
Pena, J.I. (1992). On meteor showers in stock markets: New York vs Madrid. Investigaciones Economicas, 16,225-234.
Perry, J.W.,Keown, A.J., ScottJr, D.F. & Martin, J.D. (1993). Basic Financial Management (6th ed.). New Jersey: PrenticeHall.
Shapiro, A.C. (1996). Multinational Financial Management (5th ed.), New Jersey: PrenticeHall.
Songül, H. (2010), Autoregressive conditional heteroskedasticity models: Currency Converter on Application Specialist Qualification Thesis, Central Bank of the Republic of Turkey, General Directorate of Research and Monetary Policy. Ankara.
Tan, T. A. (2012). Stock Market Integration: Case of the Philippines. Philippine Management Review, 19.
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© Business & Management Studies: An International Journal, 2020
Asisst. Prof., Artvin Çoruh University
How to Cite
THE INVESTIGATION OF VOLATILITY SPILLOVER EFFECT BETWEEN STOCK MARKETS OF TURKEY, ITALY, GREECE AND RUSSIA
Vol 8 No 2 (2020): BUSINESS & MANAGEMENT STUDIES: AN INTERNATIONAL JOURNAL
Submitted: Apr 14, 2020
Published: Jun 25, 2020
In this study, the volatility spillover effects in stock markets of various countries are examined. Volatility spillover effect occurs in two forms as heat wave and meteor shower in literature. From this point to these two effects were investigated in stock markets of Turkey, Italy, Russia and Greece. In the research, cointegration, ARCH-LM, VAR, and finally VAR-MGARCH analyzes were used. According to the results of the analysis, it was concluded that the volatility spillover effect is effective in all stock markets. Also, it was determined that more meteor shower hypothesis is more effective when the time was extended, although heat wave hypothesis is effective in the short term.