Tom Zimmermann
Tom Zimmermann
Assistant Professor, University of Cologne
Verified email at - Homepage
Cited by
Cited by
Estimating the effects of coordinated fiscal actions in the euro area
S Hebous, T Zimmermann
European Economic Review 58, 110-121, 2013
Tree-based conditional portfolio sorts: The relation between past and future stock returns
B Moritz, T Zimmermann
Available at SSRN 2740751, 2016
Employment effects of unconventional monetary policy: Evidence from QE
S Luck, T Zimmermann
Journal of Financial Economics 135 (3), 678-703, 2020
Publication bias and the cross-section of stock returns
AY Chen, T Zimmermann
The Review of Asset Pricing Studies 10 (2), 249-289, 2020
Did QE lead banks to relax their lending standards? Evidence from the Federal Reserve’s LSAPs
R Kurtzman, S Luck, T Zimmermann
Journal of Banking & Finance, 105403, 2018
Can government demand stimulate private investment? Evidence from US federal procurement
S Hebous, T Zimmermann
Journal of Monetary Economics 118, 178-194, 2021
Open source cross-sectional asset pricing
AY Chen, T Zimmermann
Available at SSRN 3604626, 2020
Cross-border effects of fiscal consolidations: Estimates based on narrative records
S Hebous, T Zimmermann
CESifo Working Paper Series, 2013
Revisiting the narrative approach of estimating tax multipliers
S Hebous, T Zimmermann
The Scandinavian Journal of Economics 120 (2), 428-439, 2018
Fiscal consolidations and bank balance sheets
J Cimadomo, S Hauptmeier, T Zimmermann
Journal of International Money and Finance 45, 74-90, 2014
The'Privatization'of Municipal Debt
I Ivanov, T Zimmermann
Available at SSRN 3056079, 2019
Breaking trust: On the persistent effect of banking crisis experience
T Graeber, T Zimmermann
Mimeo, Bonn, Germany: Rheinische Friedrich-Wilhelms-Universitšt, 2019
The impact of heuristics on the practice of risk management: The example of default probabilities
DR Van Deventer, T Zimmermann
Journal of Risk Management in Financial Institutions 7 (2), 153-160, 2014
Bottom-up leading macroeconomic indicators: An application to non-financial corporate defaults using machine learning
T Pike, H Sapriza, T Zimmermann
Inductive Learning and Theory Testing: Applications in Finance
T Zimmermann
Harvard University, 2015
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