A Quantitative Model of Banking Industry Dynamics
DCDean CorbaePDPablo D’Erasmo
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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
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- FWCI
- 6.76
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- 99%
- References
- 44
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Authors
2- DCDean CorbaeCorresponding
- PDPablo D’Erasmo
Topics & keywords
Topics
Keywords
- Loan
- Interest rate
- Competition (biology)
- Subsidy
- Business cycle
- Banking industry
- Business
- Economics
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