2009
DOI: 10.1080/00036840802360245
|View full text |Cite
|
Sign up to set email alerts
|

Banks’ regulatory buffers, liquidity networks and monetary policy transmission

Abstract: Based on a quarterly regulatory dataset for German banks from 1999 to 2004, this paper analyzes the effects of banks' regulatory capital on the transmission of monetary policy in a system of liquidity networks. The dynamic panel regression results provide evidence in favor of the bank capital channel theory. Banks holding less regulatory capital and less interbank liquidity react more restrictively to a monetary tightening than their peers.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
28
0
1

Year Published

2012
2012
2021
2021

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 41 publications
(31 citation statements)
references
References 23 publications
2
28
0
1
Order By: Relevance
“…see Salas and Saurina, 2002;Merkl and Stolz, 2009), we adopt a dynamic approach in order to account for the time persistence in the NPL structure. 17 A dynamic panel data specification is generally given by:…”
Section: Dynamic Panel Data Estimatormentioning
confidence: 99%
“…see Salas and Saurina, 2002;Merkl and Stolz, 2009), we adopt a dynamic approach in order to account for the time persistence in the NPL structure. 17 A dynamic panel data specification is generally given by:…”
Section: Dynamic Panel Data Estimatormentioning
confidence: 99%
“…Dans la présente partie, nous procédons à l'étude des déterminants des NPLs des ménages dans le secteur bancaire tunisien à l'aide du modèle de données de panel* , en se basant sur les travaux avancés par Louzis et al (2012), Salas and Saurina (2002) et Merkl and Stolz (2009 …”
Section: Analyse Et Interprétation Des Résultatsunclassified
“…We choose the third option, and create a new institution after two banks merge. For a detailed description of possible merger treatment procedures, see Merkl and Stolz (2006).…”
Section: B Datamentioning
confidence: 99%