TIME-FREQUENCY NEXUS BETWEEN THE EASTERN EUROPEAN AND THE DEVELOPED STOCK MARKETS – THE CASE OF VISEGRAD GROUP
Sažetak
Ovaj rad utvrđuje nivo međusobne veze između četiri tržišta akcija višegradske grupe i dva razvijena tržišta akcija (Nemačke i Amerike). Nastojimo da utvrdimo dinamičku vezu preko vremenskog domena, kao i domena frekvencije, i za te svrhe koristimo metodu wavelet koherencije. Rezultati ukazuju da tamnocrvena polja preovlađuju oko Svetske finansijske krize i Evropske krize suverenog duga, i one postoje čak i na poljima visoke frekvencije (4 dana) u parovima DAX-PX, DAX-WIG, i donekle DAX-BUX. To ukazuje na snažne veze između Višegradske grupe i DAX indeksa, dok su veze sa američkim indeksom nešto slabije. Slovački SAX indeks ima najšire polje niske korelacije, dok prisustvo „zaraze“ ne može da bude pronađeno. Ovaj nalaz sugeriše da slovački SAX indeks ima najmanje sinhronizovano kretanje sa dva velika tržišna indeksa, i stoga može biti upotrebljen za potrebe diverzifikacije u portfolijima sa DAX i S&P500 indeksima.
Reference
Aloui, C., & Hkiri, B. (2014). Co-movements of GCC emerging stock markets: New evidence from wavelet coherence analysis. Economic Modelling, 36, 421–431.
Babetskii, I., Komarek, L., & Komarkova, Z. (2007). Financial integration of stock markets among new EU member states and the euro area. Finance a uver – Czech Journal of Economics and Finance, 57(7-8), 341–362.
Boubakera, S., & Jouini, J. (2014). Linkages between emerging and developed equity markets: Empirical evidence in the PMG framework. North American Journal of Economics and Finance, 29, 322–335.
Boubaker, H., & Raza, S. A. (2016). On the dynamic dependence and asymmetric co-movement between the US and Central and Eastern European transition markets. Physica A: Statistical Mechanics and its Applications, 459, 9–23.
Bejaoui, A., & Karaa, A. (2016). Revisiting the bull and bear markets notions in the Tunisian stock market: New evidence from multi-state duration-dependence Markov-switching models. Economic Modelling, 59, 529-545.
Bodart, V., & Candelon, B. (2009). Evidences of interdependence and contagion using a frequency domain framework. Emerging Markets Review, 10(2), 140–150.
Boubaker, S., & Jouini, J. (2014). Linkages between emerging and developed equity markets: Empirical evidence in the PMG framework. North American Journal of Economics and Finance, 29, 322–335.
Boyer, B., Kumagai, T., & Yuan, K. (2006). How do crises spread? Evidence from accessible and inaccessible stock indices. Journal of Finance, 61(2), 957−1003.
Cha, H. J., & Jithendranathan, T. (2009). Time-varying correlations and optimal allocations in emerging market equities for the US investors. International journal for finance and economics, 14(2), 172-187.
Conlon, T., & Cotter, J. (2012). An empirical analysis of dynamic multiscale hedging using wavelet decomposition. Journal of Futures Markets, 32(3), 272–299.
Dajčman, S. (2013). Interdependence between some major European stock markets – A wavelet led/lag analysis. Prague economic papers, 22(1), 28-49.
Demian, C. V. (2011). Cointegration in Central and East European markets in light of EU accession. Journal of International Financial Markets, Institutions and Money, 21(1), 144–155.
Dewandaru, G., Masih, R., & Masih, A. M. M. (2016). Contagion and interdependence across Asia-Pacific equity markets: An analysis based on multi-horizon discrete and continuous wavelet transformations. International Review of Economics and Finance, 43, 363–377.
Dornbusch, R., Park, Y. C., & Claessens, S. (2000). Contagion: understanding how it spreads. World Bank Research Observer, 15(2), 177–197.
Égert, B., & Kočenda, E. (2010). Time-varying Synchronization of European Stock Markets. Empirical Economics, 40(2), 393-407.
Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: measuring stock market comovements. Journal of Finance, 57(5), 2223–2261.
Gilmore, G. C., & McManus, G. M. (2002). International Portfolio Diversification: US and Central European Equity Markets. Emerging Markets Review, 3(1), 69-83.
Gilmore, C., Lucey, B., & McManus, G. (2008). The dynamics of Central European equity market integration. Quarterly Review of Economics and Finance, 48(3), 605–622.
Hirshleifer, D., & Teoh, S. H. (2003). Herd behaviour and cascading in capital markets: A review and synthesis. European Financial Management, 9(1), 25−66.
Horváth, R., & Petrovski, D. (2013). International stock market integration: Central and South Eastern Europe compared. Economic Systems, 37(1), 81–91.
Huang, S. C. (2011). Wavelet-based multi-resolution GARCH model for financial spillover effects, Mathematics and computers in simulation, 81(11), 2529–2539.
Jung, R. C., & Maderitsch, R. (2014). Structural breaks in volatility spillovers between international financial markets: contagion or mere interdependence? Journal of Banking and finance, 47, 331–342.
Kiviaho, J., Nikkinen, J., Piljak, V., & Rothovius, T. (2014). The co-movement dynamics of European frontier stock markets. European Financial Management, 20(3), 574–595.
Lehkonen, H., & Heimonen, K. (2014). Timescale-dependent stock market comovement: BRICs vs. developed markets. Journal of Empirical Finance 28, 90–103.
Liu, X., Margaritis, D., & Wang, P. (2012). Stock market volatility and equity returns: Evidence from a two-state Markov-switching model with regressors. Journal of Empirical Finance, 19(4), 483-496.
Marçal, E. F., Pereira, P. L. V., Martin, D., & Nakamura, W. (2011) Evaluation of contagion or interdependence in the financial crises of Asia and Latin America, considering the macroeconomic fundamentals. Applied Economics, 43, 2364–2379.
Mazin, A. M. A. J., Hatemi J. A., & Irandoust, M. (2010). Modeling Time-Varying Volatility and Expected Returns: Evidence from the GCC and MENA Regions. Emerging markets Finance and Trade, 46(5), 39-47.
Mensi, W., Hammoudeh, S., Reboredo, J. C., & Nguyen, D. K. (2014). Do global factors impact BRICS stock markets? A quantile regression approach. Emerging Markets Review, 19, 1–17.
Moore, T., & Wang, P. (2007). Volatility in stock returns for new EU member states: Markov regime switching model. International Review of Financial Analysis, 16(3), 282-292.
Patev, P, Kanaryan, N., & Lyroudi, K. (2006). Stock Market Crises and Portfolio Diversification in Central and Eastern Europe. Managerial Finance, 32(5), 415-432.
Rahim, A. M., & Masih, A. M. M. (2016). Portfolio diversification benefits of Islamic investors with their major trading partners: Evidence from Malaysia based on MGARCH-DCC and wavelet approaches. Economic Modelling, 54, 425–438.
Reboredo, J. C., Rivera-Castro, M. A., & Ugolini, A. (2017). Wavelet-based test of co-movement and causality between oil and renewable energy stock prices. Energy Economics, 61, 241–252.
Rua, A., & Nunes, L. C. (2009). International co-movement of stock market returns: a wavelet analysis. Journal of Empirical Finance, 16(4), 632–639.
Savva, C. S., & Aslanidis, N. (2010). Stock market integration between new EU member states and the Euro-zone. Empirical Economy, 39(2), 337–351.
Syllignakis, M. N., & Kouretas, G. P. (2011). Dynamic correlation analysis of financial contagion: Evidence from the Central and Eastern European markets. International Review of Economics and Finance, 20(4), 717–732.
Torrence, C., & Webster, P. J. (1999). Interdecadal changes in the ENSO-monsoon system. Journal of Climate, 12(8), 2679–2690.
Vacha, L., & Barunik, J. (2012). Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis. Energy Economics, 34(1), 241–247.
Wang, P., & Moore, T. (2008). Stock market integration for the transition economies: time-varying conditional correlation approach. Manchester School. 76(1), 116–133.
Yang, L., Cai, X. J., Zhang, H., & Hamori, S. (2016). Interdependence of foreign exchange markets: A wavelet coherence analysis. Economic Modelling, 55, 6–14.
Zhang, B., Li, X., & Yu, H. (2013). Has recent financial crisis changed permanently the correlations between BRICS and developed stock markets? North American Journal of Economics and Finance, 26, 725–738.
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