Financial Contagion from the Subprime Crisis: A Copula Approach
DOI:
https://doi.org/10.47743/saeb-2022-0031Keywords:
financial contagion, financial markets, subprime crisis, ; Copulas, ARMA-GARCH.Abstract
The magnitude of the subprime crisis effects caused recessions in several economies, giving rise to the global financial crisis. The scale of this major shock and the different recovery profiles of European economies motivated this paper. The main objective is to look for evidence of contagion between the North American financial market (S&P500) and the financial markets of Portugal (PSI20), Spain (IBEX35), Greece (ATHEX) and Italy (FTSEMIB), in the South of Europe, and the financial markets of Sweden (OMXS30), Denmark (OMX2C0), Finland (OMXH25) and Norway (OsloOBX), in the North of Europe. Considering the period from January 1, 2003 to December 31, 2013, the ARMA-GARCH models were estimated to remove the autoregressive and conditional heteroscedastic effects from the time series of the daily returns. Then, the copula models were used to estimate the dependence relationships between the European stock indexes and the North American stock index, from the pre-crisis subperiod to the crisis subperiod. The results indicate financial contagion of the subprime crisis for all analyzed European countries. The North European markets intensified the relations of financial integration (both in negative and positive shocks) with the North American market, apart from the Danish against the Portuguese. In addition to the contribution made by the joint application of the ARMA-GARCH models, the findings are useful to identify channels of financial contagion between markets and to warn about the effects of possible new crisis, which will require different levels of adaptation by the companies’ financial managers and intervention by the authorities.
References
Acharya, V. V., Drechsler, I., & Schnabl, P. (2012). A tale of two overhangs: The nexus of financial sector and sovereign credit risks. Financial Stability Review, 16, 51-56.
Acharya, V. V., & Merrouche, O. (2013). Precautionary hoarding of liquidity and interbank markets: Evidence from the subprime crisis. Review of Finance, 17(1), 107-160. http://dx.doi.org/10.1093/rof/rfs022
Ayadi, S., & Said, H. B. (2020). The financial contagion effect of the subprime crisis on selected developed markets. Annals of Spiru Haret University. Economic Series, 20(4), 65-100.
Berglund, T., & Mäkinen, M. (2019). Do banks learn from financial crisis? The experience of Nordic banks. Research in International Business and Finance, 47, 428-440. http://dx.doi.org/10.1016/j.ribaf.2018.09.004
Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327. http://dx.doi.org/10.1016/0304-4076(86)90063-1
Boubaker, A., & Salma, J. (2011). Detecting financial markets contagion using copula functions. International Journal of Management Science and Engineering Management, 6(6), 443-449. http://dx.doi.org/10.1080/17509653.2011.10671194
Brunnermeier, M. K. (2009). Deciphering the liquidity and credit crunch 2007-2008. The Journal of Economic Perspectives, 23(1), 77-100. http://dx.doi.org/10.1257/jep.23.1.77
Caporale, G. M., Cipollini, A., & Spagnolo, N. (2005). Testing for contagion: A conditional correlation analysis. Journal of Empirical Finance, 12(3), 476-489. http://dx.doi.org/10.1016/j.jempfin.2004.02.005
Claessens, S., Dell’Ariccia, G., Igan, D., & Laeven, L. (2010). Cross-country experiences and policy implications from the global financial crisis. Economic Policy, 25(62), 267-293. http://dx.doi.org/10.1111/j.1468-0327.2010.00244.x
Constâncio, V. (2012). Contagion and the European debt crisis. Financial Stability Review, 16, 109-121.
Costinot, A., Roncalli, T., & Teiletche, J. (2000). Revisiting the dependence between financial markets with copulas. SSRN Electronic Journal. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1032535 http://dx.doi.org/10.2139/ssrn.1032535
Coval, J., Jurek, J., & Stafford, E. (2009). The economics of structured finance. The Journal of Economic Perspectives, 23(1), 3-25. http://dx.doi.org/10.1257/jep.23.1.3
Czado, C. (2019). Analyzing Dependent Data with Vine Copulas: A Practical Guide With R: Springer International Publishing. http://dx.doi.org/10.1007/978-3-030-13785-4
Eichengreen, B., Rose, A., & Wyplosz, C. (1996). Contagious currency crises: First tests. The Scandinavian Journal of Economics, 98(4), 463. http://dx.doi.org/10.2307/3440879
Embrechts, P., Lindskog, F., & McNeil, A. (2003). Modelling Dependence with Copulas and Applications to Risk Management. In S. T. Rachev (Ed.), Handbook of Heavy Tailed Distributions in Finance (pp. 329-384). Amsterdam: North-Holland. http://dx.doi.org/https://doi.org/10.1016/B978-044450896-6.50010-8
Engle, R. F. (1982). Autoregressive Conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987. http://dx.doi.org/10.2307/1912773
Engle, R. F., & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. http://dx.doi.org/10.2307/1913236
Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: Measuring stock market comovements. The Journal of Finance, 57, 2223-2261. http://dx.doi.org/10.1111/0022-1082.00494
Gylfason, T., Holmström, B., Korkman, S., Söderström, H. T., & Vihriälä, V. (2010). Nordics in Global Crisis. Vulnerability and resilience. ETLA B, 242. Retrieved from http://www.etla.fi/wp-content/uploads/2012/09/B242.pdf
Hardie, I., & Thompson, H. (2021). Taking Europe seriously: European financialization and US monetary power. Review of International Political Economy, 28(4), 775-793. http://dx.doi.org/10.1080/09692290.2020.1769703
Honkapohja, S. (2012). The 1980s Financial liberalization in the Nordic countries. SSRN, 36, 30. http://dx.doi.org/10.2139/ssrn.2190375
Horta, P., Mendes, C., & Vieira, I. (2010). Contagion effects of the subprime crisis in the European NYSE Euronext markets. Portuguese Economic Journal, 9(2), 115-140. http://dx.doi.org/10.1007/s10258-010-0056-6
Hu, L. (2006). Dependence patterns across financial markets: A mixed copula approach. Applied Financial Economics, 16(10), 717-729. http://dx.doi.org/10.1080/09603100500426515
Kao, W. S., Kao, T. C., Changchien, C. C., Wang, L. H., & Yeh, K. T. (2018). Contagion in international stock markets after the subprime mortgage crisis. Chinese Economy, 51(2), 130-153. http://dx.doi.org/10.1080/10971475.2018.1447822
Kao, Y. S., Zhao, K., Ku, Y. C., & Nieh, C. C. (2019). The asymmetric contagion effect from the U.S. stock market around the subprime crisis between 2007 and 2010. Ekonomska Istrazivanja, 32(1), 2422-2454. http://dx.doi.org/10.1080/1331677X.2019.1645710
Kendall, M. G. (1938). A new measure of rank correlation. Biometrika, 30(1-2), 81-93. http://dx.doi.org/10.1093/biomet/30.1-2.81
Kim, G., Silvapulle, M. J., & Silvapulle, P. (2007). Comparison of semiparametric and parametric methods for estimating copulas. Computational Statistics & Data Analysis, 51(6), 2836-2850. http://dx.doi.org/10.1016/j.csda.2006.10.009
King, M. A., & Wadhwani, S. (1990). Transmission of volatility between stock markets. Review of Financial Studies, 3(1), 30. http://dx.doi.org/10.1093/rfs/3.1.5
Lane, P. R. (2012). The European sovereign debt crisis. The Journal of Economic Perspectives, 26(3), 49-68. http://dx.doi.org/10.1257/jep.26.3.49
Levitin, A. J., Pavlov, A. D., & Wachter, S. M. (2009). Securitization: Cause or remedy of the financial crisis? Georgetown Law and Economics Research Paper, 667. Retrieved from https://realestate.wharton.upenn.edu/working-papers/securitization-cause-or-remedy-of-the-financial-crisis/
Ljung, G. M., & Box, G. E. P. (1978). On a measure of a lack of fit in time series models. Biometrika, 65(2), 297-303. http://dx.doi.org/10.1093/biomet/65.2.297
McCauley, R. (2018). The 2008 crisis: Transpacific or transatlantic? BIS Quartely Review, 20, 39-58. Retrieved from https://www.bis.org/publ/qtrpdf/r_qt1812f.htm
Mizen, P. (2008). The Credit Crunch of 2007-2008: A Discussion of the Background, Market Reactions, and Policy Responses. Review - Federal Reserve Bank of St. Louis, 90(5), 531-567. http://dx.doi.org/10.20955/r.90.531-568
Mody, A., & Sandri, D. (2011). The Eurozone Crisis: How banks and sovereigns came to be joined at the hip. Economic Policy, 27(70), 34.
Østrup, F., Oxelheim, L., & Wihlborg, C. (2009). Origins and resolution of financial crises: Lessons from the current and Northern European crises. Asian Economic Papers, 8(3), 178-220. http://dx.doi.org/10.1162/asep.2009.8.3.178
Pericoli, M., & Sbracia, M. (2003). A primer on financial contagion. Journal of Economic Surveys, 17(4), 571-608. http://dx.doi.org/10.1111/1467-6419.00205
Rodriguez, J. C. (2007). Measuring financial contagion: A copula approach. Journal of Empirical Finance, 14(3), 401-423. http://dx.doi.org/10.1016/j.jempfin.2006.07.002
Zamora-Kapoor, A., & Coller, X. (2014). The Effects of the Crisis: Why Southern Europe? American Behavioral Scientist, 58(12), 1511-1516. http://dx.doi.org/10.1177/0002764214530649
Zorgati, I., & Lakhal, F. (2020). Spatial contagion in the subprime crisis context: Adjusted correlation versus local correlation approaches. Economic Modelling, 92(November), 162-169. http://dx.doi.org/10.1016/j.econmod.2019.12.015
Zorgati, I., Lakhal, F., & Zaabi, E. (2019). Financial contagion in the subprime crisis context: A copula approach. The North American Journal of Economics and Finance, 47, 269-282. http://dx.doi.org/10.1016/j.najef.2018.11.014
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Rita I.L. Mendes, Luís M. P. Gomes, Patrícia A. G. Ramos
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
All accepted papers are published on an Open Access basis.
The Open Access License is based on the Creative Commons license.
The non-commercial use of the article will be governed by the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License as currently displayed on https://creativecommons.org/licenses/by-nc-nd/4.0
Under the Creative Commons Attribution-NonCommercial-NoDerivatives license, the author(s) and users are free to share (copy, distribute and transmit the contribution) under the following conditions:
1. they must attribute the contribution in the manner specified by the author or licensor,
2. they may not use this contribution for commercial purposes,
3. they may not alter, transform, or build upon this work.