Muñoz, Mª Pilar and Márquez, María Dolores and Sánchez, Josep A. (2011): Contagion between United States and european markets during the recent crises. Published in: Aestimatio. The IEB International Journal of Finance No. 2 (July 2011): pp. 1-24.
Preview |
PDF
MPRA_paper_35993.pdf Download (2MB) | Preview |
Abstract
The main objective of this paper is to detect the existence of financial contagion between the North American and European markets during the recent crises. To accomplish this, the relationships between the US and the Euro zone stock markets are considered, taking the daily equity prices of the Standard and Poor’s 500 as representative of the United States market and for the European market, the five most representative indexes. Time Series Factor Analysis (TSFA) procedure has allowed concentrating the information of the European indexes into a unique factor, which captures the underlying structure of the European return series. The relationship between the European factor and the US stock return series has been analyzed by means of the dynamic conditional correlation model (DCC). Once the DCC is estimated, the contagion between both markets is analyzed. Finally, in order to explain the sudden changes in dynamic US-EU correlation, a Markov switching model is fitted, using as input variables the macroeconomic ones associated with the monetary policies of the US as well as those related to uncertainty in the markets. The results show that there was contagion between the United States and European markets in the Subprime and Global Financial crises. The two-regime Markov switching model has helped to explain the variability of the pair-wise correlation. The first regime contains mostly the financially stable periods, and the dynamic correlations in this regime are explained by macroeconomic variables and other related with monetary policies in Europe and US. The second regime is explained mainly by the Federal Funds rate and the evolution of the Euro/US Exchange rate.
Item Type: | MPRA Paper |
---|---|
Original Title: | Contagion between United States and european markets during the recent crises |
English Title: | Contagion between United States and European Markets during the recent Crises |
Language: | English |
Keywords: | Contagion, Dynamic Conditional Correlation, Financial Markets, Markov Switching Model, Time Series Factor Analysis, Macroeconomic variables |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy G - Financial Economics > G0 - General > G01 - Financial Crises |
Item ID: | 35993 |
Depositing User: | IEB Research Department |
Date Deposited: | 17 Jan 2012 19:54 |
Last Modified: | 27 Sep 2019 00:24 |
References: | Allen, F. and Gallen, D. (2001). Financial Contagion. Journal of Political Economy, 108, pp. 1-33. Aslanidis, N., Osborn, D. and Sensier, M. (2010). Comovements between US and UK stock prices: The role of time-varying conditional correlations. International Journal of Finance and Economics, 15, pp. 366-380. Baele, L. (2005) Volatility spillover effects in European equity markets. Journal of Financial and Quantitative Analysis, 40, pp. 373-401. Bartram, S. and Bonard, G. (2009). No place to hide: The global crisis in equity markets in 2008/2009. Journal of International Money and Finance, 28, pp. 1246–1292. Bekaert, G. Hodrick, R. and Zhang, X., 2009. International Stock Return Comovements. The Journal of Finance, 64 (6), pp. 2591-2626. Billio, M. and Caporin, M. (2005). Multivariate Markov switching dynamic conditional correlation GARCH representations for contagion analysis, Statistical Methods and Applications, 14 (2), pp. 145-161. Boivin, J. and Giannoni, M. P. (2007). “Global Forces and Monetary Policy Effectiveness,” NBER Chapters, in: International Dimensions of Monetary Policy, National Bureau of Economic Research, Inc., pp. 429-478. Chiang, T.C., Jeon, B.N. and Li, H. (2007). Dynamic Correlation Analysis of Financial Contagion: Evidence from Asian Markets. Journal of International Money and Finance, 26, pp. 1206-1228. Claessens, S., Dornbusch, R. W., Park, Y. C. (2001). Contagion: Why Crises Spread and How This Can Be Stopped. In: Stijn Claessens, and Kristin J. Forbes, eds.: International Financial Contagion (Kluwer Academic Publishers, Norwell, MA). Dempster, A.P., Laird, N.M. and Rubin, D. B. (1977). Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society. Series B, 39(1), pp. 1-38. Dornbusch, R., Park, Y. and Claessens, S. (2000). Contagion: Understanding How It Spreads. The World Bank Research Observer, 15 (2), pp. 177–97. Dungey, M., Fry, R., Martín, V., and González-Hermosillo, B. (2005). Empirical Modeling of Contagion: A Review of Methodologies. Quantitative Finance, 5 (1), pp. 9-24. Engle, R.E. (2002). Dynamic Conditional Correlation: a Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models. Journal of Business and Economic Statistics, 20, pp. 339-350. Fontdecaba, S., Muñoz, M.P. and Sánchez, J.A. (2009). Análisis del precio de la energía usando modelos markovianos de switching. IV Congreso de la Asociación Española para la Economía Energética. Sevilla. Forbes, K. and Rigobon, R. (2002). No Contagion, only Interdependence: Measuring Stock Market Comovements. Journal of Finance, 57 (5), pp. 2223-2261. Gilbert, P. and Meijer, E. 2005. Time Series Factor Analysis with an Application to Measuring Money. Research Report Nº 05F10. University of Groningen, SOM Research School.http://som.rug.nl. Hamilton, J. D. 1989 A New approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57, pp. 357-84. Hamilton, J. D. (2009). Causes and Consequences of the Oil Shock of 2007-08. Brookings Papers on Economic Activity. Spring 2009. Kim, S., Moshirian, F. and Wu, E. (2005). Dynamic Stock Market Integration Driven by the European Monetary Union: An Empirical Analysis. Journal of Banking and Finance, Vol. 29, No. 10, pp. 2475 - 2502, 2005. Available at SSRN: http://ssrn.com/abstract=670703 Muñoz, M.P. and Dickey D.A. (2010). Influence of macroeconomic indicators in power prices: the Spanish case. Does the crisis change those relationships? Submitted to Applied Stochastic Models in Business and Industry. Muñoz, M.P., Marquez, M.D. and Chulià, H. Contagion between Markets during Financial Crises. Available at SSRN: http://ssrn.com/abstract=1654262. Nippani, S. and Smith, S. D. (2010). 10-year US Treasury security as a measure of the default risk. Journal of Banking & Finance, 34, pp. 2472–2480. Pericoli, M. and Sbracia, M. (2003). A Primer on Financial Contagion. Journal of Economic Surveys, 17, (4), pp. 571-608. Rahman, S. and Serletis, A. (2010). The asymmetric effects of oil price and monetary economy shocks: A nonlinear VAR approach. Energy Economics, 32, pp. 1460-1466. Sánchez Espigares, J. A., Fontdecaba S. and Muñoz, M. P. (2010). Implementación en R de la estimación de modelos de Markov con cambio de régimen. Libro de actas del XXXII Congreso Nacional de Estadística e Investigación Operativa. A Coruña (España). Pág. 113. ISBN: 978-84-693-78878. Wansbeek, T. and Meijer, E. (2000). On the Measurement Error and Latent Variables in Econometrics. chap. 10, pp. 307-309 North-Holland. Watson, M. W., Engle, R. F. (1983). Alternative Algorithms for the Estimation of Dynamic Factor, Mimic and Varying Coefficient Regression Models. Journal of Econometrics, 23 (3), pp. 385- 400. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/35993 |