Monitoring Bank Failures in a Data-Rich Environment
Jean Armand Gnagne and
Kevin Moran ()
Cahiers de recherche from Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques
This paper develops a monitoring and forecasting model for the aggregate monthly number of commercial bank failures in the U.S. We extract key sectoral predictors from the large set of macroeconomic variables proposed by McCracken and Ng (2016) and incorporate them in a hurdle negative binomial model to predict the number of monthly commercial bank failures. We uncover a strong and robust relationship between the predictor synthesizing housing industry variables and bank failures. This relationship suggests the existence of a link between developments in the housing sector and the vulnerability of commercial banks to non-performing loans increases and asset deterioration. We assess different specifications
Keywords: Financial Regulation; Financial Crises; Factors Models; Diffusion Index Models (search for similar items in EconPapers)
JEL-codes: E60 F37 F38 G01 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ban and nep-mac
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Persistent link: https://EconPapers.repec.org/RePEc:lvl:crrecr:1815
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