Banks’ Funding Stress, Lending Supply and Consumption Expenditure
H. Evren Damar, Reint E. Gropp, A. Mordel
Journal of Money, Credit and Banking,
im Erscheinen
Abstract
We employ a unique identification strategy linking survey data on household consumption expenditure to bank‐level data to estimate the effects of bank funding stress on consumer credit and consumption expenditures. We show that households whose banks were more exposed to funding shocks report lower levels of nonmortgage liabilities. This, however, only translates into lower levels of consumption for low‐income households. Hence, adverse credit supply shocks are associated with significant heterogeneous effects.
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Optimizing Policymakers’ Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Macroeconomic Dynamics,
im Erscheinen
Abstract
Recurring financial instabilities have led policymakers to rely on early-warning models to signal financial vulnerabilities. These models rely on ex-post optimization of signaling thresholds on crisis probabilities accounting for preferences between forecast errors, but come with the crucial drawback of unstable thresholds in recursive estimations. We propose two alternatives for threshold setting with similar or better out-of-sample performance: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. Given probabilistic model output, it is intuitive that a decision rule is independent of the data or model specification, as thresholds on probabilities represent a willingness to issue a false alarm vis-à-vis missing a crisis. We provide real-world and simulation evidence that this simplification results in stable thresholds, while keeping or improving on out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
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IWH-Transfertagung „Europas Finanzmarkt: Zwangsehe oder lose Bekanntschaft?“
Sithara Thies
Wirtschaft im Wandel,
Nr. 1,
2020
Abstract
Ein Jahrzehnt nach der weltweiten Finanzkrise steht das Finanzsystem noch immer vor enormen Herausforderungen. Wie diese in Europa gemeistert werden können, war Thema einer hochkarätig besetzten Tagung, die am 26. Februar 2020 am Leibniz-Institut für Wirtschaftsforschung Halle (IWH) stattfand.
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Cross-border Transmission of Emergency Liquidity
Thomas Kick, Michael Koetter, Manuela Storz
Journal of Banking & Finance,
im Erscheinen
Abstract
We show that emergency liquidity provision by the Federal Reserve transmitted to non-U.S. banking markets. Based on manually collected holding company structures, we identify banks in Germany with access to U.S. facilities. Using detailed interest rate data reported to the German central bank, we compare lending and borrowing rates of banks with and without such access. U.S. liquidity shocks cause a significant decrease in the short-term funding costs of the average German bank with access. This reduction is mitigated for banks with more vulnerable balance sheets prior to the inception of emergency liquidity. We also find a significant pass-through in terms of lower corporate credit rates charged for banks with the lowest pre-crisis leverage, US-dollar funding needs, and liquidity buffers. Spillover effects from U.S. emergency liquidity provision are generally confined to short-term rates.
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Langfristige Konsequenzen der Finanzkrise 2008/2009: Nachsichtige Regulierung schadet, flexible Löhne helfen
Reint E. Gropp, Carlo Wix
Wirtschaft im Wandel,
Nr. 2,
2019
Abstract
Die globale Bankenkrise der Jahre 2008/2009 hatte weltweit signifikant negative Auswirkungen auf die Realwirtschaft, und in vielen Ländern fiel die folgende wirtschaftliche Erholung deutlich langsamer aus als in vorherigen Rezessionen. In den Monaten nach der Insolvenz der amerikanischen Investmentbank Lehman Brothers reduzierten Banken ihre Kreditvergabe an Unternehmen, was zu einem Anstieg der Arbeitslosigkeit, einem Rückgang an Investitionen und einer Verringerung der Produktivität führte. Während diese kurzfristigen Effekte in der bisherigen Forschung gut dokumentiert sind, sind die langfristigen Auswirkungen von Bankenkrisen bisher weit weniger gut verstanden. Zwei aktuelle Studien unter IWH-Beteiligung zeigen, dass Bankenkrisen generell negative langfristige Effekte auf das Wachstum von Firmen haben, dass die Rettung von schwachen Banken während der Krise mit Produktivitätsverlusten in späteren Jahren einhergeht, und dass diese negativen langfristigen Effekte durch die Existenz inflexibler Löhne verstärkt werden.
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Banks' Funding Stress, Lending Supply and Consumption Expenditure
H. Evren Damar, Reint E. Gropp, A. Mordel
IWH Discussion Papers,
Nr. 11,
2019
Abstract
We employ a unique identification strategy linking survey data on household consumption expenditure to bank-level data to estimate the effects of bank funding stress on consumer credit and consumption expenditures. We show that households whose banks were more exposed to funding shocks report lower levels of nonmortgage liabilities. This, however, only translates into lower levels of consumption for low income households. Hence, adverse credit supply shocks are associated with significant heterogeneous effects.
Artikel Lesen
The Income Elasticity of Mortgage Loan Demand
Manthos D. Delis, Iftekhar Hasan, Chris Tsoumas
Financial Markets, Institutions & Instruments,
Special Issue: 2016 Portsmouth – Fordham Conferenc
2019
Abstract
One explanation for the emergence of the housing market bubble and the subprime crisis is that increases in individuals’ income led to higher increases in the amount of mortgage loans demanded, especially for the middle class. This hypothesis translates to an increase in the income elasticity of mortgage loan demand before 2007. Using applicant‐level data, we test this hypothesis and find that the income elasticity of mortgage loan demand in fact declines in the years before 2007, especially for the mid‐ and lower‐middle income groups. Our finding implies that increases in house prices were not matched by increases in loan applicants’ income.
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Elevated Uncertainty during the Financial Crisis: Do Effects on Subjective Well-being Differ across European Countries?
Lena Tonzer
B.E. Journal of Economic Analysis & Policy,
Nr. 2,
2019
Abstract
This paper focuses on the effect of uncertainty as reflected by financial market variables on subjective well-being. The analysis is based on Eurobarometer surveys, covering 18 countries over the period 2000–2013. Individuals report lower levels of life satisfaction in times of higher uncertainty approximated by stock market volatility. This effect is heterogeneous across respondents: the probability of being unsatisfied is higher for respondents who are older, unemployed, less educated, and live in one of the GIIPS countries of the Euro area. Furthermore, higher uncertainty in combination with a financial crisis increases the probability of reporting low values of life satisfaction.
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Drivers of Systemic Risk: Do National and European Perspectives Differ?
Claudia M. Buch, Thomas Krause, Lena Tonzer
Journal of International Money and Finance,
2019
Abstract
With the establishment of the Banking Union, the European Central Bank has been granted the power to impose stricter regulations than the national regulator if systemic risks are not adequately addressed at the national level. We ask whether there is a cross-border externality in the sense that a bank’s systemic risk differs when applying a national versus a European perspective. On average, banks’ contribution to systemic risk is similar at the two regional levels, and so is the ranking of banks. Generally, larger banks and banks with a lower share of loans are more systemically important. The effects of these variables are qualitatively but not quantitatively similar at the national versus the European level.
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An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
IWH Discussion Papers,
Nr. 2,
2019
Abstract
This paper compares the out-of-sample predictive performance of different early warning models for systemic banking crises using a sample of advanced economies covering the past 45 years. We compare a benchmark logit approach to several machine learning approaches recently proposed in the literature. We find that while machine learning methods often attain a very high in-sample fit, they are outperformed by the logit approach in recursive out-of-sample evaluations. This result is robust to the choice of performance measure, crisis definition, preference parameter, and sample length, as well as to using different sets of variables and data transformations. Thus, our paper suggests that further enhancements to machine learning early warning models are needed before they are able to offer a substantial value-added for predicting systemic banking crises. Conventional logit models appear to use the available information already fairly effciently, and would for instance have been able to predict the 2007/2008 financial crisis out-of-sample for many countries. In line with economic intuition, these models identify credit expansions, asset price booms and external imbalances as key predictors of systemic banking crises.
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