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The aftermath of the subprime crisis: a clustering analysis of world banking sector

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  • José Dias
  • Sofia Ramos

Abstract

The banking sector has been on the spotlight in both academic and policy circles since the outburst of the subprime bubble. The crisis has its roots in the US, but there were spillover effects around the world. We study the behavior of the banking sector of 40 countries during the period 2007–2010, using a new clustering methodology. Our methodology combines regime switching models in the modeling of longitudinal variations with cluster analysis that identifies groups of countries with similar profiles. Our results show that although there were periods of intense contagion, the impact was uneven among sample countries. The crisis had episodic effects on some countries, while others had severe devaluations after the Lehman Brothers bankruptcy. Finally, a small group of banking systems has plunged into a long severe crisis. Copyright Springer Science+Business Media New York 2014

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  • José Dias & Sofia Ramos, 2014. "The aftermath of the subprime crisis: a clustering analysis of world banking sector," Review of Quantitative Finance and Accounting, Springer, vol. 42(2), pages 293-308, February.
    • Handle: RePEc:kap:rqfnac:v:42:y:2014:i:2:p:293-308
    DOI: 10.1007/s11156-013-0342-3
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    1. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    2. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    3. Levine, Ross & Zervos, Sara, 1998. "Stock Markets, Banks, and Economic Growth," American Economic Review, American Economic Association, vol. 88(3), pages 537-558, June.
    4. R. Mantegna, 1999. "Hierarchical structure in financial markets," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 11(1), pages 193-197, September.
    5. Olivier Blanchard, 2009. "The Crisis: Basic Mechanisms and Appropriate Policies," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 10(01), pages 3-14, April.
    6. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    7. Panton, Don B. & Lessig, V. Parker & Joy, O. Maurice, 1976. "Comovement of International Equity Markets: A Taxonomic Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 11(3), pages 415-432, September.
    8. Robert G. King & Ross Levine, 1993. "Finance and Growth: Schumpeter Might Be Right," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 717-737.
    9. Longstaff, Francis A., 2010. "The subprime credit crisis and contagion in financial markets," Journal of Financial Economics, Elsevier, vol. 97(3), pages 436-450, September.
    10. Massimo Guidolin & Allan Timmermann, 2005. "Economic Implications of Bull and Bear Regimes in UK Stock and Bond Returns," Economic Journal, Royal Economic Society, vol. 115(500), pages 111-143, January.
    11. Li, Ming-Yuan Leon & Lin, Hsiou-Wei William, 2003. "Examining the Volatility of Taiwan Stock Index Returns Via a Three-Volatility-Regime Markov-Switching ARCH Model," Review of Quantitative Finance and Accounting, Springer, vol. 21(2), pages 123-139, September.
    12. Beltratti, Andrea & Stulz, René M., 2012. "The credit crisis around the globe: Why did some banks perform better?," Journal of Financial Economics, Elsevier, vol. 105(1), pages 1-17.
    13. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    14. Eichengreen, Barry & Mody, Ashoka & Nedeljkovic, Milan & Sarno, Lucio, 2012. "How the Subprime Crisis went global: Evidence from bank credit default swap spreads," Journal of International Money and Finance, Elsevier, vol. 31(5), pages 1299-1318.
    15. Colm Kearney & Valerio Potì, 2008. "Have European Stocks become More Volatile? An Empirical Investigation of Idiosyncratic and Market Risk in the Euro Area," European Financial Management, European Financial Management Association, vol. 14(3), pages 419-444, June.
    16. Warren Dean & Robert Faff, 2008. "Evidence of feedback trading with Markov switching regimes," Review of Quantitative Finance and Accounting, Springer, vol. 30(2), pages 133-151, February.
    17. Marcello Pericoli & Massimo Sbracia, 2003. "A Primer on Financial Contagion," Journal of Economic Surveys, Wiley Blackwell, vol. 17(4), pages 571-608, September.
    18. Sofia B. Ramos & Jeroen K. Vermunt & José G. Dias, 2011. "When markets fall down: are emerging markets all the same?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 16(4), pages 324-338, October.
    19. Agmon, Tamir, 1972. "The Relations Among Equity Markets: A Study of Share Price Co-Movements in the United States, United Kingdom, Germany and Japan," Journal of Finance, American Finance Association, vol. 27(4), pages 839-855, September.
    20. Adrian R. Pagan & Kirill A. Sossounov, 2003. "A simple framework for analysing bull and bear markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 23-46.
    21. Wilfling, Bernd, 2009. "Volatility regime-switching in European exchange rates prior to monetary unification," Journal of International Money and Finance, Elsevier, vol. 28(2), pages 240-270, March.
    22. Ronald D. Watson, 2008. "Subprime Mortgages, Market Impact, and Safety Nets," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 465-492.
    23. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333.
    24. Grubel, Herbert G & Fadner, Kenneth, 1971. "The Interdependence of International Equity Markets," Journal of Finance, American Finance Association, vol. 26(1), pages 89-94, March.
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    Cited by:

    1. Peter Grundke, 2019. "Ranking consistency of systemic risk measures: a simulation-based analysis in a banking network model," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 953-990, May.
    2. Jianping Li & Lu Wei & Cheng-Few Lee & Xiaoqian Zhu & Dengsheng Wu, 2018. "Financial statements based bank risk aggregation," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 673-694, April.
    3. Gautier Marti & Frank Nielsen & Miko{l}aj Bi'nkowski & Philippe Donnat, 2017. "A review of two decades of correlations, hierarchies, networks and clustering in financial markets," Papers 1703.00485, arXiv.org, revised Nov 2020.
    4. Trindade, Graça & Dias, José G. & Ambrósio, Jorge, 2017. "Extracting clusters from aggregate panel data: A market segmentation study," Applied Mathematics and Computation, Elsevier, vol. 296(C), pages 277-288.
    5. Bhimjee, Diptes C. & Ramos, Sofia B. & Dias, José G., 2016. "Banking industry performance in the wake of the global financial crisis," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 376-387.
    6. Nathan Lael Joseph & Thi Thuy Anh Vo & Asma Mobarek & Sabur Mollah, 2020. "Volatility and asymmetric dependence in Central and East European stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1241-1303, November.
    7. Ken B. Cyree & Travis R. Davidson & John D. Stowe, 2020. "Forming appropriate peer groups for bank research: a cluster analysis of bank financial statements," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(2), pages 211-237, April.
    8. Mehrzad Azmi Shabestari & Kevin Moffitt & Bharat Sarath, 2020. "Did the banking sector foresee the financial crisis? Evidence from risk factor disclosures," Review of Quantitative Finance and Accounting, Springer, vol. 55(2), pages 647-669, August.
    9. Helena Isidro & José G. Dias, 2017. "Earnings quality and the heterogeneous relation between earnings and stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1143-1165, November.
    10. Grout, Paul A. & Zalewska, Anna, 2016. "Stock market risk in the financial crisis," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 326-345.

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    More about this item

    Keywords

    Banking sector; Clustering methods; Time series data; Regime switching models; Hidden Markov model; G21; C34; C38;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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