Macroeconomic Imbalances as Indicators for Debt Crises in Europe
Tobias Knedlik, Gregor von Schweinitz
Journal of Common Market Studies,
No. 5,
2012
Abstract
European authorities and scholars published proposals on which indicators of macroeconomic imbalances might be used to uncover risks for the sustainability of public debt in the European Union. We test the ability of four proposed sets of indicators to send early-warnings of debt crises using a signals approach for the study of indicators and the construction of composite indicators. We find that a broad composite indicator has the highest predictive power. This fact still holds true if equal weights are used for the construction of the composite indicator in order to reflect the uncertainty about the origin of future crises.
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Macroeconomic Imbalances as Indicators for Debt Crises in Europe
Tobias Knedlik, Gregor von Schweinitz
Abstract
European authorities and scholars published proposals on which indicators of macroeconomic imbalances might be used to uncover risks for the sustainability of public debt in the European Union. We test the ability of four proposed sets of indicators to send early-warnings of debt crises using a signals approach for the study of indicators and the construction of composite indicators. We find that a broad composite indicator has the highest predictive power. This fact still holds true if equal weights are used for the construction of the composite indicator in order to reflect the uncertainty about the origin of future crises.
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The Importance of Estimation Uncertainty in a Multi-Rating Class Loan Portfolio
Henry Dannenberg
IWH Discussion Papers,
No. 11,
2011
Abstract
This article seeks to make an assessment of estimation uncertainty in a multi-rating class loan portfolio. Relationships are established between estimation uncertainty and parameters such as probability of default, intra- and inter-rating class correlation, degree of inhomogeneity, number of rating classes used, number of debtors and number of historical periods used for parameter estimations. In addition, by using an exemplary portfolio based on Moody’s ratings, it becomes clear that estimation uncertainty does indeed have an effect on interest rates.
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Governmental Learning as a Determinant of Economic Growth
Marina Grusevaja
IWH Discussion Papers,
No. 23,
2010
Abstract
Systemic economic transition is a process of determined radical institutional change, a process of building new institutions required by a market economy. Nowadays, the experience of transition countries with the implementation of new institutions could be reviewed as a method of economic development that despite similar singular steps has different effects on the domestic economic performance. The process of institutional change towards a market economy is determined by political will, thus the government plays an important role in carrying out the economic reforms. Among the variety of outcomes and effects the attention is drawn especially to economic growth that diverges significantly in different post-transition countries. The paper attempts to shed light upon the problem on the basis of institutional economics, of economics of innovation and partially of political economy of growth using an evolutionary, process-oriented perspective. In this context the issue central to the promotion of economic growth is the successful implementation of new institutions through governmental activities. The paper shows that under the conditions of bounded rationality and radical uncertainty economic growth is determined, inter alia, by the capacity for governmental learning.
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Preventing Innovative Cooperations: The Legal Exemptions Unintended Side Effect
Christian Growitsch, Nicole Nulsch, Margarethe Rammerstorfer
European Journal of Law and Economics,
No. 1,
2012
Abstract
In 2004, European competition law had been considerable changed by the introduction of the new Council Regulation No. 1/2003. One of the major renewals was the replacement of the centralized notification system for inter-company cooperations in favor of a so-called legal exemption system. We analyze the implications of this reform and its arising uncertainty on the agreements firms implement, especially on innovative agreements like vertical R&D agreements. By means of a decision theoretic approach, we show that the law’s intention to reduce the incentive to establish illegal cartels will be reached but innovating cooperations might be prevented. To avoid this unintended side effect, fines but not the monitoring activities should be increased.
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How an IPO Helps in M&A
Ugur Celikyurt, Merih Sevilir, Anil Shivdasani
Journal of Applied Corporate Finance,
No. 2,
2010
Abstract
An initial public offering (IPO) can often provide a powerful stimulus to private companies seeking to pursue an acquisition-driven growth strategy. Based on a comprehensive analysis of U.S. IPOs, the authors show that newly public companies are prolific acquirers. Over 30% of companies conducting an IPO make at least one acquisition in their IPO year, and the typical IPO firm makes about four acquisitions during its first five years as a public company. IPOs facilitate M&A not only by providing infusions of capital but also by creating ongoing access to equity and debt markets for cash-financed deals. In addition, IPOs create an acquisition currency that can prove valuable in stock-financed deals when the shares are attractively priced. The authors also argue that IPOs improve the ability of companies to conduct M&A by resolving some of the valuation uncertainty facing privately held companies.
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Evaluating the German (New Keynesian) Phillips Curve
Rolf Scheufele
North American Journal of Economics and Finance,
2010
Abstract
This paper evaluates the New Keynesian Phillips curve (NKPC) and its hybrid variant within a limited information framework for Germany. The main interest resides in the average frequency of price re-optimization by firms. We use the labor income share as the driving variable and consider a source of real rigidity by allowing for a fixed firm-specific capital stock. A GMM estimation strategy is employed as well as an identification robust method based on the Anderson–Rubin statistic. We find that the German Phillips curve is purely forward-looking. Moreover, our point estimates are consistent with the view that firms re-optimize prices every 2–3 quarters. These estimates seem plausible from an economic point of view. But the uncertainties around these estimates are very large and also consistent with perfect nominal price rigidity, where firms never re-optimize prices. This analysis also offers some explanation as to why previous results for the German NKPC based on GMM differ considerably. First, standard GMM results are very sensitive to the way in which orthogonality conditions are formulated. Further, model mis-specifications may be left undetected by conventional J tests. This analysis points out the need for identification robust methods to get reliable estimates for the NKPC.
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Stochastic Income Statement Planning and Emissions Trading
Henry Dannenberg, Wilfried Ehrenfeld
Abstract
Since the introduction of the European CO2 emissions trading system (EU ETS), the
development of CO2 allowance prices is a new risk factor for enterprises taking part in this system. In this paper, we analyze how risk emerging from emissions trading can be considered in the stochastic profit and loss planning of corporations. Therefore we explore which planned figures are affected by emissions trading. Moreover, we show a way to model these positions in a planned profit and loss account accounting for uncertainties and dependencies. Consequently, this model provides a basis for risk assessment and investment decisions in the uncertain environment of CO2 emissions trading.
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