On the Empirics of Reserve Requirements and Economic Growth
Jesús Crespo Cuaresma, Gregor von Schweinitz, Katharina Wendt
Journal of Macroeconomics,
June
2019
Abstract
Reserve requirements, as a tool of macroprudential policy, have been increasingly employed since the outbreak of the great financial crisis. We conduct an analysis of the effect of reserve requirements in tranquil and crisis times on long-run growth rates of GDP per capita and credit (%GDP) making use of Bayesian model averaging methods. Regulation has on average a negative effect on GDP in tranquil times, which is only partly offset by a positive (but not robust effect) in crisis times. Credit over GDP is positively affected by higher requirements in the longer run.
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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
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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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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Did the Swiss Exchange Rate Shock Shock the Market?
Manuel Buchholz, Gregor von Schweinitz, Lena Tonzer
Abstract
The Swiss National Bank abolished the exchange rate floor versus the Euro in January 2015. Based on a synthetic matching framework, we analyse the impact of this unexpected (and therefore exogenous) shock on the stock market. The results reveal a significant level shift (decline) in asset prices in Switzerland following the discontinuation of the minimum exchange rate. While adjustments in stock market returns were most pronounced directly after the news announcement, the variance was elevated for some weeks, indicating signs of increased uncertainty and potentially negative consequences for the real economy.
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On the Empirics of Reserve Requirements and Economic Growth
Jesús Crespo Cuaresma, Gregor von Schweinitz, Katharina Wendt
Abstract
Reserve requirements, as a tool of macroprudential policy, have been increasingly employed since the outbreak of the great financial crisis. We conduct an analysis of the effect of reserve requirements in tranquil and crisis times on credit and GDP growth making use of Bayesian model averaging methods. In terms of credit growth, we can show that initial negative effects of higher reserve requirements (which are often reported in the literature) tend to be short-lived and turn positive in the longer run. In terms of GDP per capita growth, we find on average a negative but not robust effect of regulation in tranquil times, which is only partly offset by a positive but also not robust effect in crisis times.
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7. IWH/INFER-Workshop on Applied Economics and Economic
Policy: “Challenges and Implications of Inflationary Dynamics“
Birgit Schultz, Gregor von Schweinitz
Wirtschaft im Wandel,
Nr. 4,
2017
Abstract
Am 7. und 8. September 2017 fand am IWH in Zusammenarbeit mit dem International Network for Economic Research (INFER) und unter Förderung der Stadt Halle (Saale) der 7. Workshop in der Reihe „Applied Economics and Economic Policy“ statt. Im Rahmen des Workshops stellten Wissenschaftlerinnen und Wissenschaftler europäischer Universitäten und internationaler Organisationen ihre neuesten Forschungsergebnisse zu aktuellen ökonomischen Fragen und Problemen vor und diskutierten diese intensiv. Insbesondere gab es einen regen Austausch über das Spezialthema „Challenges and Implications of Inflationary Dynamics“. Hier ging es vor allem um die Entwicklungen von Inflationserwartungen sowie mögliche Gründe und Folgen dieser Entwicklungen.
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22. Spring Meeting of Young Economists in Halle (Saale)
– ein Tagungsbericht
Andrej Drygalla, Helge Littke, Gregor von Schweinitz, Aida Ćumurović, Geraldine Dany, Chi Hyun Kim, Juliane Müller
Wirtschaft im Wandel,
Nr. 2,
2017
Abstract
Das Spring Meeting of Young Economists (SMYE) – eine große Konferenz von jungen Wirtschaftswissenschaftlern für junge Wirtschaftswissenschaftler – wird jedes Jahr im Auftrag der European Association of Young Economists (EAYE) in einer anderen europäischen Stadt durchgeführt. Vom 23. bis 25. März 2017 wurde das 22. SMYE vom Leibniz-Institut für Wirtschaftsforschung Halle (IWH) und der Martin-Luther-Universität Halle-Wittenberg (MLU) ausgerichtet und von sieben PostDocs und PhD-Studenten dieser Institutionen organisiert.
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Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Abstract
Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The expost threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in recursive estimations and an in-sample overfit at the expense of out-of-sample performance. We propose two alternatives for threshold setting: (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 simulated and real-world evidence that this simplification results in stable thresholds and improves 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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Why They Keep Missing: An Empirical Investigation of Rational Inattention of Rating Agencies
Gregor von Schweinitz, Makram El-Shagi
Abstract
Sovereign ratings have frequently failed to predict crises. However, the literature has focused on explaining rating levels rather than the timing of rating announcements. We fill this gap by explicitly differentiating between a decision to assess a country and the actual rating decision. Thereby, we account for rational inattention of rating agencies that exists due to costs of reassessment. Exploiting information of rating announcements, we show that (i) the proposed differentiation significantly improves estimation; (ii) rating agencies consider many nonfundamental factors in their reassessment decision; (iii) markets only react to ratings providing new information; (iv) developed countries get preferential treatment.
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6th IWH/INFER-Workshop on Applied Economics and Economic Policy: “(Ending) Unconventional Monetary Policy
Birgit Schultz, Gregor von Schweinitz
Wirtschaft im Wandel,
Nr. 6,
2016
Abstract
Am 29. und 30. September 2016 fand am IWH in Zusammenarbeit mit dem International Network for Economic Research (INFER) der 6. Workshop in der Reihe „Applied Economics and Economic Policy“ statt. Im Rahmen des Workshops stellten Wissenschaftler europäischer Universitäten und internationaler Organisationen ihre neuesten Forschungsergebnisse zu aktuellen ökonomischen Fragen und Problemen vor und diskutierten diese intensiv. Insbesondere gab es einen regen Austausch über das Spezialthema „(Ending) Unconventional Monetary Policy“. Hier ging es vor allem um die geldpolitischen Maßnahmen und Instrumente, die neben dem Zentralbankzins seit der Finanzkrise eingesetzt werden.
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