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.

Sprache
Englisch

Erschienen in
Series: SFB 649 Discussion Paper ; No. 2014-056

Klassifikation
Wirtschaft
Business Fluctuations; Cycles
Financial Markets and the Macroeconomy
Money Supply; Credit; Money Multipliers
Financial Institutions and Services: General
Thema
Shadow Banking
Monetary Transmission Mechanism
Credit Channel

Ereignis
Geistige Schöpfung
(wer)
Mazelis, Falk
Ereignis
Veröffentlichung
(wer)
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
(wo)
Berlin
(wann)
2014

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Mazelis, Falk
  • Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk

Entstanden

  • 2014

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