Arbeitspapier
Monetary policy effects on financial intermediation via the regulated and the shadow banking systems
We extend the monetary DSGE model by Gertler and Karadi (2011) with a non-bank financial intermediary to investigate the impact of monetary policy shocks on aggregate loan supply. We distinguish between bank and non-bank intermediaries based on the liquidity of their credit claims. While banks can endogenously create deposits to fund rm loans, non-banks have to raise deposits on the funding market to function as intermediaries. The funding market is modeled via search and matching by non-banks for available deposits of households. Because deposit creation responds to economy-wide productivity automatically, bank reaction to shocks corresponds to the balance sheet channel. Non-banks are constrained by the available deposits and their behavior is better explained by the lending channel. The two credit channels are affcted differently following a monetary policy shock. As a result of these counteracting effects, an increasing non-bank sector leads to a reduced reaction of aggregate loan supply following a monetary policy shock, which is consistent with the data. An extension to deposit like-issuance by the non-bank sector will allow further studies of re-regulating the non-bank sector.
- Language
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Englisch
- Bibliographic citation
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Series: SFB 649 Discussion Paper ; No. 2014-056
- Classification
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Wirtschaft
Business Fluctuations; Cycles
Financial Markets and the Macroeconomy
Money Supply; Credit; Money Multipliers
Financial Institutions and Services: General
- Subject
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Shadow Banking
Monetary Transmission Mechanism
Credit Channel
- Event
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Geistige Schöpfung
- (who)
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Mazelis, Falk
- Event
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Veröffentlichung
- (who)
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Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
- (where)
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Berlin
- (when)
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2014
- Handle
- Last update
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10.03.2025, 11:45 AM CET
Data provider
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Object type
- Arbeitspapier
Associated
- Mazelis, Falk
- Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
Time of origin
- 2014