An Evaluation of Early Warning Models for Systemic Banking Crises: Does Machine Learning Improve Predictions?
Johannes Beutel, Sophia List, Gregor von Schweinitz
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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Identifying Cooperation for Innovation – A Comparison of Data Sources
Michael Fritsch, Matthias Piontek, Mirko Titze
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidised collaborative Research and Development projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data.
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Banks Response to Higher Capital Requirements: Evidence from a Quasi-natural Experiment
Reint E. Gropp, Thomas Mosk, Steven Ongena, Carlo Wix
Review of Financial Studies,
No. 1,
2019
Abstract
We study the impact of higher capital requirements on banks’ balance sheets and their transmission to the real economy. The 2011 EBA capital exercise is an almost ideal quasi-natural experiment to identify this impact with a difference-in-differences matching estimator. We find that treated banks increase their capital ratios by reducing their risk-weighted assets, not by raising their levels of equity, consistent with debt overhang. Banks reduce lending to corporate and retail customers, resulting in lower asset, investment, and sales growth for firms obtaining a larger share of their bank credit from the treated banks.
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Trust in Banks
Zuzana Fungáčová, Iftekhar Hasan, Laurent Weill
Journal of Economic Behavior and Organization,
2019
Abstract
Trust in banks is considered essential for an effective financial system, yet little is known about what determines trust in banks. Only a handful of single-country studies discuss the topic, so this paper aims to fill the gap by providing a cross-country analysis on the level and determinants of trust in banks. Using World Values Survey data covering 52 countries during the period 2010–2014, we observe large cross-country differences in trust in banks and confirm the influence of several sociodemographic indicators. Our main findings include: women tend to trust banks more than men; trust in banks tends to increase with income, but decrease with age and education; and access to television enhances trust, while internet access erodes trust. Additionally, religious, political, and economic values affect trust in banks. Notably, religious individuals tend to put greater trust in banks, but differences are observed across denominations. The holding of pro-market economic views is also associated with greater trust in banks.
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Politics, Banks, and Sub-sovereign Debt: Unholy Trinity or Divine Coincidence?
Michael Koetter, Alexander Popov
Deutsche Bundesbank Discussion Paper,
No. 53,
2018
Abstract
We exploit election-driven turnover in State and local governments in Germany to study how banks adjust their securities portfolios in response to the loss of political connections. We find that local savings banks, which are owned by their host county and supervised by local politicians, increase significantly their holdings of home-State sovereign bonds when the local government and the State government are dominated by different political parties. Banks' holdings of other securities, like federal bonds, bonds issued by other States, or stocks, are not affected by election outcomes. We argue that banks use sub-sovereign bond purchases to gain access to politically distant government authorities.
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Effekte der Einführung des gesetzlichen Mindestlohns: Eine Fallstudie für das Handwerk in Sachsen-Anhalt
Hans-Ulrich Brautzsch, Birgit Schultz
Wirtschaft im Wandel,
No. 5,
2018
Abstract
Knapp 8% der Beschäftigten in den Handwerksbetrieben Sachsen-Anhalts verdienten vor der Einführung des gesetzlichen Mindestlohns zu Beginn des Jahres 2015 brutto weniger als 8,50 Euro je Stunde. Allerdings differiert die Betroffenheit stark. In den besonders betroffenen Gewerken war zu befürchten, dass die durch den Mindestlohn induzierte Kostensteigerung zu einem spürbaren Beschäftigungsabbau führt. In diesem Kontext werden drei Fragen untersucht: (1) Wie hoch war die Mindestlohnbetroffenheit im Handwerk in Sachsen-Anhalt? (2) Welche – über die Lohnkostenerhöhung hinausgehenden – Effekte hatte die Mindestlohneinführung in den Handwerksbetrieben? (3) Welche Ausweichreaktionen haben die Handwerksbetriebe unternommen, um die höhere Kostenbelastung zu bewältigen? Die Untersuchungen basieren auf den von den Handwerkskammern Halle und Magdeburg durchgeführten Konjunkturumfragen, die in Kooperation mit dem IWH um zusätzliche Fragen zur Mindestlohneinführung erweitert wurden. Die Ergebnisse der Schätzungen zeigen keine signifikanten Beschäftigungseffekte infolge der Einführung des gesetzlichen Mindestlohns. Vielmehr haben die Handwerksbetriebe vor allem mit Preiserhöhungen reagiert.
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On the Risk of a Sovereign Debt Crisis in Italy
Oliver Holtemöller, Tobias Knedlik, Axel Lindner
Intereconomics,
No. 6,
2018
Abstract
The intention for the Italian government to stimulate business activity via large increases in government spending is not in line with the stabilisation of the public debt ratio. Instead, if such policy were implemented, the risk of a sovereign debt crisis would be high. In this article, we analyse the capacity of the Italian economy to shoulder sovereign debt under different scenarios. We conclude that focusing on growth enhancing structural reforms, would allow for moderate increases in public expenditure.
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The Joint Dynamics of Sovereign Ratings and Government Bond Yields
Makram El-Shagi, Gregor von Schweinitz
Journal of Banking and Finance,
2018
Abstract
Can a negative shock to sovereign ratings invoke a vicious cycle of increasing government bond yields and further downgrades, ultimately pushing a country toward default? The narratives of public and political discussions, as well as of some widely cited papers, suggest this possibility. In this paper, we will investigate the possible existence of such a vicious cycle. We find no evidence of a bad long-run equilibrium and cannot confirm a feedback loop leading into default as a transitory state for all but the very worst ratings. We use a bivariate semiparametric dynamic panel model to reproduce the joint dynamics of sovereign ratings and government bond yields. The individual equations resemble Pesaran-type cointegration models, which allow for valid interference regardless of whether the employed variables display unit-root behavior. To incorporate most of the empirical features previously documented (separately) in the literature, we allow for different long-run relationships in both equations, nonlinearities in the level effects of ratings, and asymmetric effects in changes of ratings and yields. Our finding of a single good equilibrium implies the slow convergence of ratings and yields toward this equilibrium. However, the persistence of ratings is sufficiently high that a rating shock can have substantial costs if it occurs at a highly speculative rating or lower. Rating shocks that drive the rating below this threshold can increase the interest rate sharply, and for a long time. Yet, simulation studies based on our estimations show that it is highly improbable that rating agencies can be made responsible for the most dramatic spikes in interest rates.
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Innovation Cooperation in East and West Germany: A Study on the Regional and Technological Impact
Uwe Cantner, Alexander Giebler, Jutta Günther, Maria Kristalova, Andreas Meder
International Journal of Computational Economics and Econometrics,
3/4
2018
Abstract
In this paper, we investigate the impact of regional and technological innovation systems on innovation cooperation. We develop an indicator applicable to regions, which demonstrates the relative regional impact on innovation cooperation. Applying this method to German patent data, we find that regional differences in the degree of innovation cooperation do not only depend on the technology structure of a region but also on specific regional effects. High-tech oriented regions, whether east or west, are not automatically highly cooperative regions. East German regions have experienced a dynamic development of innovation cooperation since re-unification in 1990. Their cooperation intensity remains higher than in West German regions.
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Innovation, Reallocation, and Growth
Daron Acemoglu, Ufuk Akcigit, Harun Alp, Nicholas Bloom, William R. Kerr
American Economic Review,
No. 11,
2018
Abstract
We build a model of firm-level innovation, productivity growth, and reallocation featuring endogenous entry and exit. A new and central economic force is the selection between high- and low-type firms, which differ in terms of their innovative capacity. We estimate the parameters of the model using US Census microdata on firm-level output, R&D, and patenting. The model provides a good fit to the dynamics of firm entry and exit, output, and R&D. Taxing the continued operation of incumbents can lead to sizable gains (of the order of 1.4 percent improvement in welfare) by encouraging exit of less productive firms and freeing up skilled labor to be used for R&D by high-type incumbents. Subsidies to the R&D of incumbents do not achieve this objective because they encourage the survival and expansion of low-type firms.
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