Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Journal of International Money and Finance,
No. 35,
2013
Abstract
The signals approach as an early-warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it cannot distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful results; (2) that composite indicators aggregating information contained in individual indicators add value to the signals approach; and (3) that indicators which are found to be significant in-sample usually perform similarly well out-of-sample.
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The Impact of R&D Collaboration Networks on the Performance of Firms and Regions: A Meta-Analysis of the Evidence
Gunnar Pippel
International Journal of Networking and Virtual Organisations,
No. 4,
2013
Abstract
Innovation is the result of an interactive process. Knowledge-intensive interactions among different partners are associated with a variety of advantages and disadvantages for the actors involved. Therefore, a rich body of literature investigating the impact of R&D collaboration networks on the innovation performance of firms and regions has developed over the last two decades. Those studies come to different results. The aims of this paper are manifold. First, the paper summarizes the results of the relevant literature. Second, a brief overview of the established methods and approaches used in the literature to investigate this research question is given. The third objective is to answer the question whether the achieved results in the literature are predetermined by the employed methods. Finally, relevant gaps for further research are identified. To answer these questions a meta-analysis of the relevant literature is conducted. This study shows that knowledge-intensive interactions have a rather positive impact on the performance of firms and regions. There is also evidence that the employed methods and approaches used in the literature to investigate this research question predetermine the outcome of the research.
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Vertical Grants and Local Public Efficiency
Ivo Bischoff, Peter Bönisch, Peter Haug, Annette Illy
Abstract
This paper analyses the impact of vertical grants on local public sector efficiency. First, we develop a theoretical model in which the bureaucrat sets the tax price while voters choose the quantity of public services. In this model, grants reduce efficiency if voters do not misinterpret the amount of vertical grants the local bureaucrats receive. If voters suffer from fiscal illusion, i.e. overestimate the amount of grants, our model yields an ambiguous effect of grants on efficiency. Second, we use the model to launch a note of caution concerning the inference that can be drawn from the existing cross-sectional studies in this field: Taking into account vertical financial equalization systems that reduce differences in fiscal capacity, empirical studies based on cross-sectional data may yield a positive relationship between grants and efficiency even when the underlying causal effect is negative. Third, we perform an empirical analysis for the German state of Saxony-Anhalt, which has implemented such a fiscal equalization system. We find a positive relationship between grants and efficiency. Our analysis shows that a careful reassessment of existing empirical evidence with regard to this issue seems necessary.
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Corporate Boards and Bank Loan Contracting
Bill Francis, Iftekhar Hasan, Michael Koetter, Qiang Wu
Journal of Financial Research,
No. 4,
2012
Abstract
We investigate the role of corporate boards in bank loan contracting. We find that when corporate boards are more independent, both price and nonprice loan terms (e.g., interest rates, collateral, covenants, and performance-pricing provisions) are more favorable, and syndicated loans comprise more lenders. In addition, board size, audit committee structure, and other board characteristics influence bank loan prices. However, they do not consistently affect all nonprice loan terms except for audit committee independence. Our study provides strong evidence that banks recognize the benefits of board monitoring in mitigating information risk ex ante and controlling agency risk ex post, and they reward higher quality boards with more favorable loan contract terms.
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Qual VAR Revisited: Good Forecast, Bad Story
Makram El-Shagi, Gregor von Schweinitz
Abstract
Due to the recent financial crisis, the interest in econometric models that allow to incorporate binary variables (such as the occurrence of a crisis) experienced a huge surge. This paper evaluates the performance of the Qual VAR, i.e. a VAR model including a latent variable that governs the behavior of an observable binary variable. While we find that the Qual VAR performs reasonably well in forecasting (outperforming a probit benchmark), there are substantial identification problems. Therefore, when the economic interpretation of the dynamic behavior of the latent variable and the chain of causality matter, the Qual VAR is inadvisable.
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Regional Determinants of MNE’s Location Choice in Post-transition Economies
Andrea Gauselmann, Philipp Marek
Empirica,
No. 4,
2012
Abstract
This article focuses on the impact of agglomeration and labour market factors on the location choice of MNEs in post-transition economies. We compare data from 33 regions in East Germany, the Czech Republic and Poland using a mixed logit model on a sample of 4,343 subsidiaries for the time period between 2000 and 2010. The results show that agglomeration advantages, such as sectoral specialization as well as a region’s economic and technological performance prove to be some of the most important pull factors for FDI in post-transition regions.
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Foreign Bank Entry, Credit Allocation and Lending Rates in Emerging Markets: Empirical Evidence from Poland
Hans Degryse, Olena Havrylchyk, Emilia Jurzyk, Sylwester Kozak
Journal of Banking and Finance,
No. 11,
2012
Abstract
Earlier studies have documented that foreign banks charge lower lending rates and interest spreads than domestic banks. We hypothesize that this may stem from the superior efficiency of foreign entrants that they decide to pass onto borrowers (“performance hypothesis”), but could also reflect a different loan allocation with respect to borrower transparency, loan maturity and currency (“portfolio composition hypothesis”). We are able to differentiate between the above hypotheses thanks to a novel dataset containing detailed bank-specific information for the Polish banking industry. Our findings demonstrate that banks differ significantly in terms of portfolio composition and we attest to the “portfolio composition hypothesis” by showing that, having controlled for portfolio composition, there are no differences in lending rates between banks.
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Technological Intensity of Government Demand and Innovation
Viktor Slavtchev, Simon Wiederhold
Abstract
Governments purchase everything from airplanes to zucchini. This paper investigates whether the technological intensity of government demand affects corporate R&D activities. In a quality-ladder model of endogenous growth, we show that an increase in the share of government purchases in high-tech industries increases the rewards for innovation, and stimulates private-sector R&D at the aggregate level. We test this prediction using administrative data on federal procurement performed in US states. Both panel fixed effects and instrumental variable estimations provide results in line with the model. Our findings bring public procurement within the realm of the innovation policy debate.
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