Author information:
Máté Csiki: University of Szeged, PhD Student. E-mail: csiki.mate@eco.u-szeged.hu
Gábor Dávid Kiss: University of Szeged, habil PhD, Associate Professor. E-mail: kiss.gabor.david@eco.u-szeged.hu
Abstract:
In our study, we examine contagions materialising between the stock market indices of three countries in the Visegrád region – Poland, Czech Republic, Hungary – and selected developed countries – USA and Germany. The sample covers the period between 1997 and 2017, which includes a number of events that caused major financial and capital market turbulences in past decades, the effects of which are still significant on the capital markets of the Visegrád region today. We simulated the comovement of Visegrád and developed markets with a DCC procedure, and applied the Heckman selection model – a novel technique in relevant studies – to explain the volatility of the correlation and to capture collective behaviours between the markets. Our analysis of the extreme returns of regional indices reveals increasing global integration across the regional equity markets and their exposure to the oil market. The relevance of our work is confirmed by the presence of contagions – as presented within the framework of the model – between the regional indices and the S&P500 as well as the DAX index which are caused by financial and capital market shocks, while there is also evidence of a significant impact exerted by the German stock market index on the Visegrád stock indices. Periodically and as a function of market shifts, some variance can be observed in the contagion channels, and the unique properties specific to the region can be recognised.
Cite as (APA):
Csiki, M., & Kiss, G. D. (2018). Capital Market Contagion in the Stock Markets of Visegrád Countries Based on the Heckman Selection Model. Financial and Economic Review, 17(4), 23–52. https://doi.org/10.25201/FER.17.4.2352
Column:
Study
Journal of Economic Literature (JEL) codes:
G15, C33, F65
Keywords:
contagion, Heckit, equity market
References:
Aggarwal, R. (1981): Exchange Rates and Stock Prices: A Study of US Capital Market under Floating Exchange Rates. Akron Business and Economic Review, 3(9): 7–12.
Ajayi, R.A. – Mougoue, M. (1996): On the Dynamic Relation between Stock Prices and Exchange Rates. Journal of Financial Research, 19(2): 193–207. https://doi.org/10.1111/j.1475-6803.1996.tb00593.x
Aloui, R. – Hammoudeh, S. – Nguyen, D.K. (2013): A time-varying copula approach to oil and stock market dependence: The case of transition economies. Energy Economics, 39 (September): 208–221. https://doi.org/10.1016/j.eneco.2013.04.012
Baele, L. – Bekaert, G. – Inghelbrecht, K. – Wei, M. (2013): Flights to safety. NBER Working Paper Series, No. 19095: 1–51. https://doi.org/10.3386/w19095
Bahmani-Oskooee, M. – Sohrabian, A. (1992): Stock Prices and the Effective Exchange Rate of the Dollar. Applied Economics, 24(4): 459–464. https://doi.org/10.1080/00036849200000020
Baumöhl, E. – Lyócsa, S. – Výrost, T. (2011): Shift contagion with endogenously detected volatility breaks: The case of CEE stock markets. Applied Economics Letters, 18(12): 1103–1109. https://doi.org/10.1080/13504851.2010.524610
Baumöhl, E. – Lyócsa, S. (2014): How smooth is the stock market integration of CEE-3? William Davidson Institute Working Paper, Number 1079. https://econpapers.repec.org/paper/wdipapers/2014-1079.htm. Downloaded: 14 January 2018.
Bearce, D. (2002): Monetary Divergence: Domestic Policy Autonomy in the Post-Bretton Woods Era. University of Michigan Press, Ann Arbor.
Bonanno, G. – Lillo, F. – Mantegna, R. (2001): Levels of complexity in financial markets. Physica A: Statistical Mechanics and its Applications, 299(1–2): 16–27. https://doi.org/10.1016/S0378-4371(01)00279-5
Campbell, R. – Koedij, K. – Kofman, P. (2002): Increased Correlation in Bear Markets. Financial Analysts Journal, 58(1): 87–94. https://doi.org/10.2469/faj.v58.n1.2512
Cappiello, L. – Gérard, B. – Kadareja, A. – Manganelli, S. (2006): Financial integration of new EU member states. Working Paper Series No. 683, ECB. https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp683.pdf?469b659d60f16ee2141bcb85eb0aa565. Downloaded: 20 January 2018.
Chen, N. – Zhang, F. (1997): Correlations, trades and stock returns of the Pacific-Basin Markets. Pacific-Basin Finance Journal, 5(5): 559–577. https://doi.org/10.1016/S0927-538X(97)00022-X
Dewandaru, G. – Masih, R. – Masih, M. (2018): Unraveling the Financial Contagion in European Stock Markets During Financial Crises: Multi-Timescale Analysis. Emerging Markets Finance & Trade, 54(4): 859–880. https://doi.org/10.1080/1540496X.2016.1266614
Dimitrova, D. (2005): The Relationship between Exchange Rates and Stock Prices: Studied in a Multivariate Model. Issues in Political Economy, 14: 1–25.
Engle, R.F. (2002): Dynamic Conditional Correlation – A Simple Class of Multivariate GARCH Models. Journal of Business and Economic Statistics, 20(3): 377–389.
Fałdziński, M. – Balcerzak, A. – Meluzín, T. – Pietrzak, M. – Zinecker, M. (2016): Cointegration of Interdependencies Among Capital Markets of Chosen Visegrad Countries and Germany. Mathematical Methods in Economics, Conference.
Farkas, B. (2011): A piacgazdaság intézményrendszere az Európai Unió új tagállamaiban (Institutional system of the market economy in new European Union Member States). Statisztikai Szemle, 89(1): 50–76.
Forbes, J.K. – Rigobon, R. (2002): No contagion, only interdependence: measuring stock market comovements. Journal of Finance, 57(6): 2223–2261. https://doi.org/10.1111/0022-1082.00494
Gelos, G. – Sahay, R. (2000): Financial market spillovers in transition economies. Economics of Transition, 9: 53–86. https://doi.org/10.1111/1468-0351.00067
Gilmore, C.G. – Lucey, B.M. – McManus, G.M. (2012): The Dynamics of Central European equity market comovements. The Quarterly Review of Economics and Finance, 48(3): 605–622.
Gjika, D. – Horvath, R. (2012): Stock Market Comovements in Central Europe: Evidence from Asymmetric DCC Model. William Davidson Institute Working Papers, Series no. 1035, William Davidson Institute. University of Michigan.
Greene, W.H. (2003): Econometric Analysis. Prentice Hall. Pearson. New Jersey.
Heckman, J.J. (1976): The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models. Annals of Economic and Social Measurement, 5(4):475–492.
Horváth, D. – Szini, R. (2015): The safety trap – the financial market and macroeconomic consequences of the scarcity of safe assets. Financial and Economic Review, 14(1): 111–138. http://english.hitelintezetiszemle.hu/letoltes/5-horvath-szini-en.pdf
Jammazi, R. – Ferrer, R. – Jareno, F. – Hammoudeh, S. (2017): Main driving factors of the interest rate-stock market Granger causality. International Review of Financial Analysis, 52 (July): 260–280. https://doi.org/10.1016/j.irfa.2017.07.008
Király, J. – Nagy, M. – Szabó, E.V. (2008): Egy különleges eseménysorozat elemzése – a másodrendű jelzáloghitel-piaci válság és (hazai) következményei (Analysis of a special sequence of events – the crisis on the secondary mortgage market and its consequences (also for Hungary)). Közgazdasági Szemle, 55 (July–August): 573–621.
Kiss, G.D. – Kosztopulosz, A. (2012): The impact of the crisis on the monetary autonomy of Central and Eastern European countries. Pénzügyi Szemle, 57(1): 27–51.
Kiss, G.D. – Varga, J.Z. (2016): Tőkepiaci idősorok extrém elmozdulásai (Extreme fluctuations in capital market time series). Statisztikai Szemle, 94(2): 162–182.
Kiss, G.D. (2017): Volatilitás, extrém elmozdulások és tőkepiaci fertőzések (Volatility, extreme fluctuations and capital market contagion). JATEPress, Szeged.
Kosztopulosz, A. (2012): A pénzügyi válság és következményei: monetáris politikai és szabályozási kihívások (The financial crisis and its consequences: Monetary policy and regulatory challenges). In: Farkas, B. (ed.): Válság: mérföldkő az európai integrációban? (Crisis: A milestone in European integration)? University of Szeged, Faculty of Economics, Szeged.
Kovács, Zs. (2015): Immaterial Assets in the Hungarian Accounting System and Financial Statements. Pénzügyi Szemle, 2015(2): 231–242.
Lakos, G. – Szendrei, T. (2017): Explanations of Asset Price Bubbles. Financial and Economic Review, 16(4): 122–150. http://doi.org/10.25201/FER.16.4.122150
Lin, W.L. – Engle, R.F. – Ito, T. (1994): Do bulls and bears move across borders? International transmission stock returns and volatility. Review of Financial Studies, 7(3): 507–538. https://doi.org/10.1093/rfs/7.3.507
Longin, F.M. – Solnik, B. (2001): Extreme correlation in international equity markets. Journal of Finance, 56(2): 649–676. https://doi.org/10.1111/0022-1082.00340
Madura, J. (2008): International Financial Management. Mason: Thomson.
Magas, I. (2010): Világgazdasági folyamatok és pénzügyi liberalizáció 1970–2010 (Global economic processes and financial liberalisation 1970–2010). MTA PhD Thesis. http://real-d.mtak.hu/521/1/tezisek.pdf. Downloaded: 1 March 2018.
Magas, I. (2018): Financial Adjustment in Small, Open Economies in Light of the “Impossible Trinity” Trilemma. Financial and Economic Review, 17(1): 5–33. http://doi.org/10.25201/FER.17.1.533
Neményi, J. (2009): A monetáris politika szerepe Magyarországon a pénzügyi válság kezelésében (The role of monetary policy in Hungary’s handling of the financial crisis). Közgazdasági Szemle, 56 (May): 393–421.
Novák, Zs. (2014): Monetáris politika, infláció és gazdasági növekedés Kelet-Közép- és Délkelet-Európában (Monetary policy, inflation and economic growth in Central and South Eastern Europe). Közgazdasági Szemle, 61 (July–August): 923–942.
Pukthuanthong, K. – Roll, R. (2009): Global market integration: An alternative measure and its application. Journal of Financial Economics, 94(2): 214–232. https://doi.org/10.1016/j.jfineco.2008.12.004
Savva, Ch.S. – Aslanidis, N. (2010): Stock market integration between new EU member states and the Euro-zone. Empirical Economics, 39(2): 337–351. https://doi.org/10.1007/s00181-009-0306-6
Schotman, P.C. – Zalewska, A. (2006): Non-synchronous trading and testing for market integration in Central European emerging markets. Journal of Empirical Finance, 13(4–5): 462–494. https://doi.org/10.1016/j.jempfin.2006.04.002
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. https://doi.org/10.1016/j.iref.2011.01.006
Tsai, I. (2012): The relationship between stock price index and exchange rate in Asian markets: A quantile regression approach. Journal of International Financial Markets, Institutions and Money, 22(3): 609–621. https://doi.org/10.1016/j.intfin.2012.04.005
Uliha, G. (2016): Oil and commodity markets’ relationship with the macroeconomy. PhD Thesis, Corvinus University of Budapest. Online: http://phd.lib.uni-corvinus.hu/939/1/UlihaGabor.pdf. Downloaded: 11 December 2017.
Van Royen, A-S. (2002): Financial Contagion and International Portfolio Flows. Financial Analysts Journal, 58(1): 35–49. https://doi.org/10.2469/faj.v58.n1.2508
Wang, P. – Moore, T. (2008): Stock market integration for the transition economies: Time-varying conditional correlation approach. The Manchester School, 76(s1): 116–133. https://doi.org/10.1111/j.1467-9957.2008.01083.x
Wang, G-J. – Xie, C. – Lin, M. – Stanley, E. (2017): Stock market contagion during the global financial crisis: A multiscale approach. Finance Research Letters, 22 (August): 163–168. https://doi.org/10.1016/j.frl.2016.12.025
Wooldridge, J.M. (2012): Introductory Econometrics: A Modern Approach. Cengage Learning, Mason.
Wong, D.K.T. – Li, K-W. (2010): Comparing the Performance of Relative Stock Return Differential and Real Exchange Rate in Two Financial Crises. Applied Financial Economics, 20(1–2): 137–150. https://doi.org/10.1080/09603100903266468
Wu, S.J. – Lee, W.M. (2015): Intertemporal risk–return relationships in bull and bear markets. International Review of Economics & Finance, 38 (July): 308–325. https://doi.org/10.1016/j.iref.2015.03.008