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Autor:innen: 
Erscheinungsjahr: 
2017
Schriftenreihe/Nr.: 
BCAM Working Paper No. 1702
Verlag: 
Birkbeck, University of London, Birkbeck Centre for Applied Macroeconomics (BCAM), London
Zusammenfassung: 
We study the dynamic characteristics of bank loan components and seek to resolve the puzzle raised by den Haan et al. (2007) that commercial and industrial loans increase following monetary contraction. By estimating a set of structural vector autoregression models on US data for 1954-2015, we demonstrate that when risk and balance sheet factors are controlled for, business loans decrease after monetary tightening, what is consistent with bank-lending channel of monetary policy transmission mechanism. This result is robust to VAR specification and to the measure of uncertainty employed. We distinguish between volatility measures of uncertainty and measures of uncertainty as vagueness/"unknownness" of economic outlook and show that business loans go down following uncertainty shock only after the latter uncertainty measure is used. We demonstrate that controlling for risk factors is critical for explaining the dynamic properties of business loans, as variance of business loans is driven by innovations to uncertainty and credit risk to the greater extent than by innovations to macroeconomic variables.
Schlagwörter: 
uncertainty
bank loans
vector autoregression
JEL: 
E40
URL der Erstveröffentlichung: 
Dokumentart: 
Working Paper

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