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Nowcasting East German GDP Growth: a MIDAS Approach

João Carlos Claudio, Katja Heinisch, Oliver Holtemöller
Empirical Economics, Nr. 1, 2020
Abstract
Economic forecasts are an important element of rational economic policy both on the federal and on the local or regional level. Solid budgetary plans for government expenditures and revenues rely on efficient macroeconomic projections. However, official data on quarterly regional GDP in Germany are not available, and hence, regional GDP forecasts do not play an important role in public budget planning. We provide a new quarterly time series for East German GDP and develop a forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account. Overall, we find that mixed-data sampling model forecasts for East German GDP in combination with model averaging outperform regional forecast models that only rely on aggregate national information.
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Labor Market Power and the Distorting Effects of International Trade

Matthias Mertens
International Journal of Industrial Organization, January 2020
Abstract
This article examines how final product trade with China shapes and interacts with labor market imperfections that create market power in labor markets and prevent an efficient market outcome. I develop a framework for measuring such labor market power distortions in monetary terms and document large degrees of these distortions in Germany's manufacturing sector. Import competition only exerts labor market disciplining effects if firms, rather than employees, possess labor market power. Otherwise, increasing export demand and import competition both fortify existing distortions, which decreases labor market efficiency. This widens the gap between potential and realized output and thus diminishes classical gains from trade.
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Managerial Ability and Value Relevance of Earnings

Bill Francis, Iftekhar Hasan, Ibrahim Siraj, Qiang Wu
China Accounting and Finance Review, Nr. 4, 2019
Abstract
We examine how management ability affects the extent to which capital markets rely on earnings to value equity. Using a measure of ability that captures a management team’s capacity for generating revenues with a given level of resources compared to other industry peers, we find a strong positive association between managerial ability and the value relevance of earnings. Additional tests show that our results are robust to controlling for earnings attributes and investment efficiency. We use propensity score matching and the 2SLS instrumental variable approach to deal with the issue of endogeneity. For further identification, we examine CEO turnover and find that newly hired CEOs with better managerial abilities than the replaced CEOs increase the value relevance of earnings. We identify weak corporate governance and product market power as the two important channels through which superior management practices play an important role in the corporate decision-making process that positively influence the value relevance of earnings. Overall, our findings suggest that better managers make accounting information significantly more relevant in the market valuation of equity.
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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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Foreign Ownership, Bank Information Environments, and the International Mobility of Corporate Governance

Yiwei Fang, Iftekhar Hasan, Woon Sau Leung, Qingwei Wang
Journal of International Business Studies, Nr. 9, 2019
Abstract
This paper investigates how foreign ownership shapes bank information environments. Using a sample of listed banks from 60 countries over 1997–2012, we show that foreign ownership is significantly associated with greater (lower) informativeness (synchronicity) in bank stock prices. We also find that stock returns of foreign-owned banks reflect more information about future earnings. In addition, the positive association between price informativeness and foreign ownership is stronger for foreign-owned banks in countries with stronger governance, stronger banking supervision, and lower monitoring costs. Overall, our evidence suggests that foreign ownership reduces bank opacity by exporting governance, yielding important implications for regulators and governments.
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Entrenchment through Corporate Social Responsibility: Evidence from CEO Network Centrality

Salim Chahine, Yiwei Fang, Iftekhar Hasan, Mohamad Mazboudi
International Review of Financial Analysis, 2019
Abstract
This paper investigates whether CEOs with high network centrality entrench themselves when taking CSR decisions and how that affects firm value. Evidence portrays that CSR in firms with more central CEOs is negatively associated with firm-value, and this association is mitigated by better corporate governance mechanisms and by geographic areas of higher social capital. This negative association is lower during disasters which reflect periods of positive exogenous shocks to the societal demand for CSR. Furthermore, CSR by more central CEOs is positively associated with future increases in CEO compensation and future improvement in a CEO's network position. The findings reveal that, in general, central CEOs use CSR to entrench themselves and gain private benefits rather than increase shareholder value.
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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, Nr. 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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The Regional Effects of a Place-based Policy – Causal Evidence from Germany

Matthias Brachert, Eva Dettmann, Mirko Titze
Regional Science and Urban Economics, November 2019
Abstract
The German government provides discretionary investment grants to structurally weak regions in order to reduce regional inequality. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of regional actors to receive investment grants to identify the causal effects of the policy. We find positive effects of the programme on district-level gross value-added and productivity growth, but no effects on employment and gross wage growth.
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Shareholder Bargaining Power and the Emergence of Empty Creditors

Stefano Colonnello, M. Efing, Francesca Zucchi
Journal of Financial Economics, Nr. 2, 2019
Abstract
Credit default swaps (CDSs) can create empty creditors who potentially force borrowers into inefficient bankruptcy but also reduce shareholders’ incentives to default strategically. We show theoretically and empirically that the presence and the effects of empty creditors on firm outcomes depend on the distribution of bargaining power among claimholders. If creditors would face powerful shareholders in debt renegotiation, firms are more likely to face the empty creditor problem. The empirical evidence confirms that more CDS insurance is written on firms with strong shareholders and that CDSs increase the bankruptcy risk of these same firms. The ensuing effect on firm value is negative.
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Should Forecasters Use Real‐time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence

Katja Heinisch, Rolf Scheufele
German Economic Review, Nr. 4, 2019
Abstract
In this paper, we investigate whether differences exist among forecasts using real‐time or latest‐available data to predict gross domestic product (GDP). We employ mixed‐frequency models and real‐time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real‐time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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