16.06.2020 • 9/2020
The economy adapts to the pandemic
In the first half of 2020, the pandemic has exacted a heavy toll on the German economy, causing a slump in production that will not be fully recovered within the next year. According to IWH summer economic forecast, gross domestic product is expected to contract by 5.1% in 2020 and to increase by 3.2% in 2021. The decline in production in Eastern Germany is likely to be less pronounced compared to Germany as a whole and estimated at 3.2% in 2020.
Oliver Holtemöller
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05.06.2020 • 8/2020
IWH Bankruptcy Update: Increase in large firm bankruptcies
With overall corporate bankruptcies remaining constant, ever more employees are subject to employer bankruptcy in Germany. This is the latest insight from the IWH Bankruptcy Update provided monthly by the Halle Institute for Economic Research (IWH).
Steffen Müller
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07.05.2020 • 7/2020
Launch of IWH Bankruptcy Update: Number of corporate bankruptcies in Germany constant despite Corona crisis
Despite the Corona outbreak, the number of corporate bankruptcies in Germany so far remains at 2019 levels. This is according to the new IWH Bankruptcy Update provided by the Halle Institute for Economic Research (IWH) on a monthly basis and much earlier than official statistics.
Steffen Müller
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The Dilemma of International Diversification: Evidence from the European Sovereign Debt Crisis
Bill Francis, Iftekhar Hasan, Gergana L. Kostova, Sami Ben Naceur
Asia-Pacific Journal of Financial Studies,
No. 2,
2020
Abstract
This paper tests how capital markets value the international diversification of banks in good and in bad economic times by investigating changes in domestic and foreign sovereign debt ratings before and during the European sovereign debt crisis. Tracing 320 European banks in 29 countries and 226 credit rating announcements for European sovereigns between 1 January 2001 and 15 August 2012, we show that the market values banks with access to foreign funds. Despite occasional adverse effects immediately following negative news regarding sovereign credit rating changes, international diversification was found to be beneficial to European banks, especially during periods of distress.
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Asymmetric Investment Responses to Firm-specific Forecast Errors
Julian Berner, Manuel Buchholz, Lena Tonzer
Abstract
This paper analyses how firm-specific forecast errors derived from survey data of German manufacturing firms over 2007–2011 affect firms’ investment propensity. Understanding how forecast errors affect firm investment behaviour is key to mitigate economic downturns during and after crisis periods in which forecast errors tend to increase. Our findings reveal a negative impact of absolute forecast errors on investment. Strikingly, asymmetries arise depending on the size and direction of the forecast error. The investment propensity declines if the realised situation is worse than expected. However, firms do not adjust investment if the realised situation is better than expected suggesting that the uncertainty component of the forecast error counteracts positive effects of unexpectedly favorable business conditions. Given that the fraction of firms making positive forecast errors is higher after the peak of the recent financial crisis, this mechanism can be one explanation behind staggered economic growth and slow recovery following crises.
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08.04.2020 • 5/2020
Economy in Shock – Fiscal Policy to Counteract
The coronavirus pandemic is triggering a severe recession in Germany. Economic output will shrink by 4.2% this year. This is what the leading economics research institutes expect in their spring report. For next year, they are forecasting a recovery and growth of 5.8%.
Oliver Holtemöller
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The Effects of Graduating from High School in a Recession: College Investments, Skill Formation, and Labor-Market Outcomes
Franziska Hampf, Marc Piopiunik, Simon Wiederhold
CESifo Working Paper,
No. 8252,
2020
Abstract
We investigate the short- and long-term effects of economic conditions at high-school graduation as a source of exogenous variation in the labor-market opportunities of potential college entrants. Exploiting business cycle fluctuations across birth cohorts for 28 developed countries, we find that bad economic conditions at high-school graduation increase college enrollment and graduation. They also affect outcomes in later life, increasing cognitive skills and improving labor-market success. Outcomes are affected only by the economic conditions at high-school graduation, but not by those during earlier or later years. Recessions at high-school graduation narrow the gender gaps in numeracy skills and labor-market success.
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12.03.2020 • 4/2020
Global economy under the spell of the coronavirus epidemic
The epidemic is obstructing the economic recovery in Germany. Foreign demand is falling, private households forgo domestic consumption if it comes with infection risk, and investments are postponed. Assuming that the spread of the disease can be contained in short time, GDP growth in 2020 is expected to be 0.6% according to IWH spring economic forecast. Growth in East Germany is expected to be 0.9% and thus higher than in West Germany. If the number of new infections cannot be decreased in short time, we expect a recession in Germany.
Oliver Holtemöller
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Does Machine Learning Help us Predict Banking Crises?
Johannes Beutel, Sophia List, Gregor von Schweinitz
Journal of Financial Stability,
December
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 metric, 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 efficiently, 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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