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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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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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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Structural Stability of the Research & Development Sector in European Economies Despite the Economic Crisis
Jutta Günther, Maria Kristalova, Udo Ludwig
Journal of Evolutionary Economics,
No. 5,
2019
Abstract
When an external shock such as the economic crisis in 2008/2009 occurs, the interconnectedness of sectors can be affected. This paper investigates whether the R&D sector experienced changes in its sectoral integration through the recession. Based on an input-output analysis, it can be shown that the linkages of the R&D sector with other sectors remain stable. In some countries, the inter-sectoral integration becomes even stronger. Policy makers can be encouraged to use public R&D spending as a means of fiscal policy against an economic crisis.
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26.06.2019 • 14/2019
Study: How financial crises lower life satisfaction and how to prevent this
Financial crises not only result in severe disruptions to the economic system, they also affect people’s life satisfaction. A new study by Martin Luther University Halle-Wittenberg (MLU) and the Halle Institute for Economic Research (IWH) shows that weaker members of society are more affected by increased uncertainty during crisis times, even if they may not be speculating on the stock market themselves. This could potentially also lower their propensity to consume, thereby intensifying the impact of a financial crisis. The study was recently published in “The B.E. Journal of Economic Analysis & Policy”.
Lena Tonzer
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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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Private Equity and Financial Fragility During the Crisis
Shai B. Bernstein, Josh Lerner, Filippo Mezzanotti
Review of Financial Studies,
No. 4,
2019
Abstract
Does private equity (PE) contribute to financial fragility during economic crises? The proliferation of poorly structured transactions during booms may increase the vulnerability of the economy to downturns. During the 2008 crisis, PE-backed companies decreased investments less than did their peers and experienced greater equity and debt inflows, higher asset growth, and increased market share. These effects are especially strong among financially constrained companies and those whose PE investors had more resources at the crisis onset. In a survey, PE firms report being active investors during the crisis and spending more time working with their portfolio companies.
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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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Avoiding the Fall into the Loop: Isolating the Transmission of Bank-to-Sovereign Distress in the Euro Area and its Drivers
Hannes Böhm, Stefan Eichler
Abstract
We isolate the direct bank-to-sovereign distress channel within the eurozone’s sovereign-bank-loop by exploiting the global, non-eurozone related variation in stock prices. We instrument banking sector stock returns in the eurozone with exposure-weighted stock market returns from non-eurozone countries and take further precautions to remove any eurozone crisis-related variation. We find that the transmission of instrumented bank distress, while economically relevant, is significantly smaller than the corresponding coefficient in the unadjusted OLS framework, confirming concerns on reverse causality and omitted variables in previous studies. Furthermore, we show that the spillover of bank distress is significantly stronger for countries with poorer macroeconomic performances, weaker financial sectors and financial regulation and during times of elevated political uncertainty.
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