2014
DOI: 10.1111/jmcb.12123
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Macroeconomic Factors and Microlevel Bank Behavior

Abstract: We analyze the link between banks and the macroeconomy using a model that extends a macroeconomic VAR for the U.S. with a set of factors summarizing conditions in about 1,500 commercial banks. We investigate how macroeconomic shocks are transmitted to individual banks and obtain the following main findings. Backward-looking risk of a representative bank declines, and bank lending increases following expansionary shocks. Forwardlooking risk increases following an expansionary monetary policy shock. There is, ho… Show more

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Cited by 102 publications
(95 citation statements)
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References 92 publications
(103 reference statements)
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“…While previous studies find evidence in favor of the existence of the risktaking channel of monetary policy, they most likely underestimate the effect. This is indirectly suggested by evidence from studies that focus on ex post risk and that find a decline in risk after a monetary policy loosening to the extent that the value of the underlying collateral increases (Buch et al 2010, De Graeve et al 2008). This effect is driven by valuation changes for outstanding bank loans, and it is thus reminiscent of the balance sheet effect of monetary policy.…”
Section: Motivationmentioning
confidence: 99%
“…While previous studies find evidence in favor of the existence of the risktaking channel of monetary policy, they most likely underestimate the effect. This is indirectly suggested by evidence from studies that focus on ex post risk and that find a decline in risk after a monetary policy loosening to the extent that the value of the underlying collateral increases (Buch et al 2010, De Graeve et al 2008). This effect is driven by valuation changes for outstanding bank loans, and it is thus reminiscent of the balance sheet effect of monetary policy.…”
Section: Motivationmentioning
confidence: 99%
“…8 Notice that, while it is relatively common to use a Cholesky decomposition to identify housing shocks (see Bagliano and Morana (2012), Aspachs-Bracons and Rabanal (2011), Musso, Neri, and Stracca (2011), Beltratti and Morana (2010), alternative identification schemes have also been used in the literature, such as sign restrictions (see Andre, Gupta, and Kanda (2011), Buch, Eickmeier, and Prieto (2010), Cardarelli, Monacelli, Rebucci, and Sala (2010, Jarocinski and Smets (2008)) or a combination of zero contemporaneous and long-run restrictions (see Bjrnland and Jacobsen (2010)). …”
Section: Identification Of Housing Demand Shocks In the Gvarmentioning
confidence: 99%
“…6 Banks' stock prices are taken from Datastream. System-wide events are gauged using ‡uctuations in the S&P500 Financials index returns.…”
Section: Data and Estimationmentioning
confidence: 99%