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Contagion in the Banking Industry: a ...
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Document type :
Pré-publication ou Document de travail
Title :
Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis
Author(s) :
Béreau, Sophie [Auteur]
Namur Center for Complex Systems [Namur] [NaXys]
Center for Research in Finance and Management [UNamur] [CeReFiM]
Debarsy, Nicolas [Auteur] refId
Lille économie management - UMR 9221 [LEM]
Dossougoin, Cyrille [Auteur]
Gnabo, Jean-Yves [Auteur]
Namur Center for Complex Systems [Namur] [NaXys]
Center for Research in Finance and Management [UNamur] [CeReFiM]
English keyword(s) :
banking
common asset exposures
contagion
endogeneity
Katz centrality
market-price channel
information channel
spatial econometrics
spillover
HAL domain(s) :
Sciences de l'Homme et Société/Economies et finances
English abstract : [en]
What drives financial contagion? The empirical literature aimed at modeling financial risk spillovers in crisis periods and documenting the role of contagion channels is subject to an endogeneity issue, as the channel ...
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What drives financial contagion? The empirical literature aimed at modeling financial risk spillovers in crisis periods and documenting the role of contagion channels is subject to an endogeneity issue, as the channel itself can respond to a change in the level of risk. We tackle this issue by using a novel spatial econometric estimation procedure based on a control function approach and offer "robust-toendogeneity " evidence on the role of indirect financial contagion channels in the banking industry. Our estimations, based on on 28 large US banks during the financial crisis (2007Q3-2013Q2), confirm that several channels are endogeneous. Accounting for endogeneity is proved to be important for recovering reliable estimates of transmission mechanisms. Banks similarity in fundamentals, similarity in investment strategy as well as common exposure appear as significant drivers of contagion. Based on relevant transmission's channels, we build a simple systemic risk indicator named "Interaction Based Centrality". We show that it may help forecast vulnerable institutions in times of crisis and could thereby be used for monitoring purposes by regulatory authorities.Show less >
Language :
Anglais
Collections :
  • Lille Économie Management (LEM) - UMR 9221
Source :
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