Bank lending and systemic risk: A financial-real sector network approach with feedback
被引:73
作者:
Silva, Thiago Christiano
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机构:
Cent Bank Brazil, Res Dept, Brasilia, DF, Brazil
Univ Sao Paulo, Fac Philosophy Sci & Literatures Ribeirao Preto, Dept Comp & Math, Sao Paulo, Brazil
Univ Catolica Brasilia, Dept Law & Econ, Brasilia, DF, BrazilCent Bank Brazil, Res Dept, Brasilia, DF, Brazil
Silva, Thiago Christiano
[1
,2
,3
]
Alexandre, Michel da Silva
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机构:
Cent Bank Brazil, Res Dept, Brasilia, DF, BrazilCent Bank Brazil, Res Dept, Brasilia, DF, Brazil
Alexandre, Michel da Silva
[1
]
Tabak, Benjamin Miranda
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机构:
Getulio Vargas Fdn, Sch Publ Policy & Govt, Sao Paulo, SP, BrazilCent Bank Brazil, Res Dept, Brasilia, DF, Brazil
Tabak, Benjamin Miranda
[4
]
机构:
[1] Cent Bank Brazil, Res Dept, Brasilia, DF, Brazil
[2] Univ Sao Paulo, Fac Philosophy Sci & Literatures Ribeirao Preto, Dept Comp & Math, Sao Paulo, Brazil
[3] Univ Catolica Brasilia, Dept Law & Econ, Brasilia, DF, Brazil
[4] Getulio Vargas Fdn, Sch Publ Policy & Govt, Sao Paulo, SP, Brazil
We simulate shocks to the real sector and evaluate how the financial system reacts and amplifies these events using unique Brazilian loan-level data between banks and banks and firms. Our analysis considers the feedback behavior that exists between the financial and real sectors through a micro-level financial accelerator. We find a strong "network effect" in which the network structure can either attenuate or amplify shocks from the real sector and thus plays a major role in contagion processes. We also find that government-owned banks are the most susceptible banks to receiving shocks from firms of any economic sector. There is empirical evidence to support the claim that more diversified portfolios of banks contribute to higher sector riskiness levels. Our results suggest that systemic risk models should account for the interconnectedness among economic agents such as the interbank and real and financial sector linkages in a multilayer approach. Overall, we show that the feedback between the real and financial sector matters in systemic risk estimation and most models that do not take into consideration could be severely underestimating systemic risk. (C) 2017 Elsevier B.V. All rights reserved.