This work aims to gain insights useful to explain the loan puzzle: the unexpected increase of loans to firms in case of a monetary tightening. To this end, we study loans from banks and non-bank lenders granted for alternative scopes to different groups of borrowers. This serves to unveil significant differences on how those respond to a shock and evaluate possible alternative explanations for such differences. The analysis is based on a vector auto-regression, estimated using Bayesian techniques, and has as object the US economy. Our findings support a supply-side explanation of the loan puzzle.

On the differential response of loans to shocks in the USA

Cafiso, Gianluca
Primo
2023-01-01

Abstract

This work aims to gain insights useful to explain the loan puzzle: the unexpected increase of loans to firms in case of a monetary tightening. To this end, we study loans from banks and non-bank lenders granted for alternative scopes to different groups of borrowers. This serves to unveil significant differences on how those respond to a shock and evaluate possible alternative explanations for such differences. The analysis is based on a vector auto-regression, estimated using Bayesian techniques, and has as object the US economy. Our findings support a supply-side explanation of the loan puzzle.
2023
Loan Puzzle, Households, Corporate Business, Non-corporate Business, VAR, Bayesian estimation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/527037
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