2018
DOI: 10.2139/ssrn.3214522
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Unconventional Monetary Policy, Bank Lending, and Security Holdings: The Yield-Induced Portfolio Rebalancing Channel

Abstract: Unconventional monetary policy measures in the Eurozone seem to have led to a compression of bond yields that was stronger than the decrease of interest rates on newly issued loans charged by banks in Germany. Furthermore, the volume of credit has increased in relation to security holdings of German banks. This paper examines whether the change in the relative price between bonds and credit resulted in a rebalancing of banks between the securities and credit portfolio. ContributionThis paper uses a fully anony… Show more

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Cited by 5 publications
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“…The expected sign of the growth rate of real GDP is positive because of the procyclicality of bank lending and increased loan demand, and the effect of changes in the policy interest rate could be negative if increases in market rates reduce loan demand, or positive if monetary policy is procyclical. Finally, though the empirical evidence on the impact of LSAPs on bank credit is mixed, several studies suggest that they boosted credit, for example, through the impact of increasing security yields in bank portfolios (Paludkiewicz, 2018; Rodnyansky & Darmouni, 2017) and by encouraging a relaxation of lending standards (Kurtzman, Luck, & Zimmerman, 2018). 4…”
Section: Model and Datamentioning
confidence: 99%
“…The expected sign of the growth rate of real GDP is positive because of the procyclicality of bank lending and increased loan demand, and the effect of changes in the policy interest rate could be negative if increases in market rates reduce loan demand, or positive if monetary policy is procyclical. Finally, though the empirical evidence on the impact of LSAPs on bank credit is mixed, several studies suggest that they boosted credit, for example, through the impact of increasing security yields in bank portfolios (Paludkiewicz, 2018; Rodnyansky & Darmouni, 2017) and by encouraging a relaxation of lending standards (Kurtzman, Luck, & Zimmerman, 2018). 4…”
Section: Model and Datamentioning
confidence: 99%