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http://hdl.handle.net/10071/8308
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Title: The aftermath of the subprime crisis a clustering analysis of world banking sector
Authors: Dias, J. G.
Ramos, S.
Keywords: Banking sector
Clustering methods
Time series data
Regime switching models
Hidden Markov model
Issue Date: 2014
Publisher: Springer Verlag
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.
Peer reviewed: Sim
URI: https://ciencia.iscte-iul.pt/public/pub/id/8858
http://hdl.handle.net/10071/8308
ISSN: 0924-865X
Publisher version: The definitive version is available at: http://dx.doi.org/10.1007/s11156-013-0342-3
Appears in Collections:BRU-RI - Artigo em revista científica internacional com arbitragem científica

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