preprintJournal of Political Economy MacroeconomicsAug 27, 2025Closed access

A Quantitative Model of Banking Industry Dynamics

DCDean CorbaePDPablo D’Erasmo
Indexed incrossref

Abstract

Business cycles, and borrower default frequencies. The model is parameterized to match a set of key aggregate and cross-sectional statistics for the U.S. banking industry. As in the data, the model generates countercyclical interest rates on loans, bank failure rates, borrower default frequencies, and charge-off rates as well as a procyclical loan supply and entry rates. The model can be used to study bank competition and the benefits/costs of policies to subsidize/mitigate bank entry/exit.

Citation impact

58
total citations
FWCI
6.76
Percentile
99%
References
44
Citations per year

Authors

2
  • DC
    Dean CorbaeCorresponding
  • PD
    Pablo D’Erasmo

Topics & keywords

Keywords
  • Loan
  • Interest rate
  • Competition (biology)
  • Subsidy
  • Business cycle
  • Banking industry
  • Business
  • Economics
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