Existing papers on extreme dependence use symmetrical thresholds to define simultaneous stock market booms or crashes such as the joint occurrence of the upper or lower one percent return quantile in both stock markets. We show that the probability of the joint occurrence of extreme stock returns may be higher for asymmetric thresholds than for symmetric thresholds. We propose a non-parametric measure of extreme dependence which allows capturing extreme events for different thresholds and can be used to compute different types of extreme dependence. We find that extreme dependence among the stock markets of ten initial EMU member countries, the United Kingdom, and the United States is largely asymmetrical in the pre-EMU period (1989–1998) and largely symmetrical in the EMU period (1999–2010). Our findings suggest that ignoring the possibility of asymmetric extreme dependence may lead to an underestimation of the probability of co-booms and co-crashes.

Die ausufernde Verschuldung insbesondere der südeuropäischen Mitgliedstaaten stellt die Europäische Währungsunion (EWU) derzeit vor große Herausforderungen. Während über lange Zeit Einigkeit darüber herrschte, den vollständigen Erhalt der Währungsunion mit einem milliardenschweren Rettungsschirm zu sichern, wurden jüngst erste Forderungen nach einem Austritt Griechenlands aus dem Euroraum laut. Insbesondere in Deutschland wird befürchtet, dass ein Austritt einzelner Länder oder gar ein kompletter Zerfall der Währungsunion mit großen ökonomischen Nachteilen verbunden wäre. So wird argumentiert, dass gerade Deutschland aufgrund seiner hohen Exportorientierung und jahrelanger Lohnzurückhaltung mehr als alle anderen EWU-Mitgliedsländer vom Euro profitiere. Vor diesem Hintergrund untersucht der vorliegende Beitrag, welche Konsequenzen ein Austritt einzelner Länder aus der Währungsunion und damit verbundene Veränderungen der preislichen Wettbewerbsfähigkeit auf die deutschen Ausfuhren in diese Länder hätte. Im Ergebnis zeigt sich, dass sich ein Austritt Irlands, Griechenlands, Spaniens und Portugals kaum negativ auf die deutschen Exporte auswirken würde. Ein kompletter Zerfall der Währungsunion und eine Wiedereinführung nationaler Währungen dürfte dagegen, aufgrund der nach wie vor recht hohen Bedeutung des Euroraums als Absatzmarkt für deutsche Produkte, den Exportzuwachs spürbar dämpfen.

We provide evidence that changes in the equity price and volatility of individual firms (measures that approximate the definition of 'granular shock' given in Gabaix, 2010) are key to improve the predictability of aggregate business cycle fluctuations in a number of countries. Specifically, adding the return and the volatility of firm-level equity prices to aggregate financial information leads to a significant improvement in forecasting business cycle developments in four economic areas, at various horizons. Importantly, not only domestic firms but also foreign firms improve business cycle predictability for a given economic area. This is not immediately visible when one takes an unconditional standpoint (i.e. an average across the sample). However, conditioning on the business cycle position of the domestic economy, the relative importance of the two sets of firms - foreign and domestic - exhibits noticeable swings across time. Analogously, the sectoral classification of the firms that in a given month retain the highest predictive power for future IP changes also varies significantly over time as a function of the business cycle position of the domestic economy. Limited to the United States, predictive ability is found to be related to selected balance sheet items, suggesting that structural features differentiate the firms that can anticipate aggregate fluctuations from those that do not help to this aim. Beyond the purely forecasting application, this finding may enhance our understanding of the underlying origins of aggregate fluctuations. We also propose to use the cross sectional stock market information to macro-prudential aims through an economic Value at Risk.

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.

In recent decades, the international division of labor expanded rapidly in course of globalization. In this context, highly developed countries specialized on (human) capital intensively manufactured goods and increasingly sourced parts and components from lowwage countries. Since this should be beneficial for the high-skilled and harmful for the lower qualified workforce, especially the opening up of Eastern Europe and the international integration of newly industrializing Asian economies are considered as main reasons for increasing unemployment of the lower qualified in high-wage countries. The present paper addresses this issue for selected Western European countries by analyzing factor content of trade, which allows inferring on factor demand patterns resulting from international trade. This is not only done for countries’ total external trade, but also for bilateral trade flows, using input-output analyses. Thereby, differences in factor inputs and production technologies are considered, allowing for product differentiation. According to the results, factor content of bilateral trade flows between Western European high-wage countries does hardly differ. However, the results are different for East-West trade, since exports from Western to Eastern Europe are distinctly more human capital intensively manufactured than imports of Western European high-wage countries from Eastern Europe.

Fiscal spending multiplier calculations have been revived in the aftermath of the

global financial crisis. Much of the current literature is based on VAR estimation

methods and DSGE models. The aim of this paper is not a further deepening of

this literature but rather to implement a calculation method of multipliers which is

suitable for open economies like EU member states. To this end, Input-Output tables are used as by this means the import intake of domestic demand components can be isolated in order to get an appropriate base for the calculation of the relevant import quotas. The difference of this method is substantial – on average the calculated multipliers are 15% higher than the conventional GDP fiscal spending multiplier for EU members. Multipliers for specific spending categories are comparably high, ranging between 1.4 and 1.8 for many members of the EU. GDP drops due to budget consolidation might therefore be substantial if monetary policy is not able to react in an expansionary manner.

If regional development agencies assume the cluster concept to be an adequate framework to promote regional growth and competitiveness, it is necessary to identify industrial clusters in a comprehensive manner. Previous studies used a diversity of methods to identify the predominant concentrations of economic activity in one industrial sector in a region. This paper is based on a multidimensional approach developed by Titze et al. With the help of the combination of concentration measures and input–output methods they were able to identify horizontal and vertical dimensions of industrial clusters. This paper aims to refine this approach by using a superior measure of spatial concentration and by integrating information about spatial interdependence of industrial cluster structures to contribute to a more adequate framework for industrial cluster identification.

Bei der Kreditrisikobewertung müssen die Parameter Ausfallwahrscheinlichkeit und -korrelation geschätzt werden. Diese Schätzung erfolgt unter Unsicherheit. In der Literatur werden asymptotische Konfidenzregionen diskutiert, um diese Unsicherheit bei der simultanen Schätzung beider Parameter zu bewerten. Diese Regionen setzen allerdings eine sehr lange Datenhistorie für eine genaue Bewertung voraus. Als Alternative bietet sich bei kurzen Datenhistorien Bootstrapping an. Diese Methode ist allerdings deutlich rechenintensiver. Im vorliegenden Beitrag wird untersucht, ab welcher Anzahl historisch verfügbarer Perioden Bootstrapping und eine Wald-Konfidenzregion zu einer vergleichbaren Bewertung des Kreditrisikos gelangen. Die hier genutzten Methoden führen zu ähnlichen Ergebnissen, wenn über 100 historische Perioden zur Verfügung stehen.

This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown, Durbin, and Evans (1975) and Zeileis (2004), Nyblom (1989) and Hansen (1992), and Andrews, Lee, and Ploberger (1996). Power and size properties are derived using Monte Carlo simulations. Results emphasize that mostly the CUSUM type tests are affected by the presence of heteroscedasticity, whereas the individual parameter Nyblom test and AvgLM test are proved to be highly robust. However, each test is significantly affected by leptokurtosis. Contrarily to other tests, where skewness is far more problematic than kurtosis, it has no additional effect for any of the endogenous break tests we analyze. Concerning overall robustness the Nyblom test performs best, while being almost on par to more recently developed tests in terms of power.

This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown, Durbin, and Evans (1975) and Zeileis (2004), Nyblom (1989) and Hansen (1992), and Andrews, Lee, and Ploberger (1996). Power and size properties are derived using Monte Carlo simulations. Results emphasize that mostly the CUSUM type tests are affected by the presence of heteroscedasticity, whereas the individual parameter Nyblom test and AvgLM test are proved to be highly robust. However, each test is significantly affected by leptokurtosis. Contrarily to other tests, where skewness is far more problematic than kurtosis, it has no additional effect for any of the endogenous break tests we analyze. Concerning overall robustness the Nyblom test performs best, while being almost on par to more recently developed tests in terms of power.