Replication data for: Bank Leverage Cycles
Principal Investigator(s): View help for Principal Investigator(s) Galo Nuño; Carlos Thomas
Version: View help for Version V1
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text/plain | 14.6 KB | 10/12/2019 03:33:PM |
Project Citation:
Nuño, Galo, and Thomas, Carlos. Replication data for: Bank Leverage Cycles. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114090V1
Project Description
Summary:
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We propose a general equilibrium framework with financial intermediaries subject to endogenous leverage constraints, and assess its ability to explain the observed fluctuations in intermediary leverage and real economic activity. In the model, intermediaries ("banks") borrow in the form of short-term risky debt. The presence of risk-shifting moral hazard gives rise to a leverage constraint, and creates a link between the volatility in bank asset returns and leverage. Unlike TFP or capital quality shocks, volatility shocks produce empirically plausible fluctuations in bank leverage. The model replicates well the fall in leverage, assets, and GDP during the 2007-2009 financial crisis.
Scope of Project
Subject Terms:
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Aggregate macro-ficial data
JEL Classification:
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D82 Asymmetric and Private Information; Mechanism Design
E44 Financial Markets and the Macroeconomy
G01 Financial Crises
G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
G32 Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
D82 Asymmetric and Private Information; Mechanism Design
E44 Financial Markets and the Macroeconomy
G01 Financial Crises
G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
G32 Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
Geographic Coverage:
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United States
Time Period(s):
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1/1981 – 6/2014
Data Type(s):
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program source code;
aggregate data
Methodology
Data Source:
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Flow of funds
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