Membership in a currency union is not irreversible. Exit expectations may emerge during sovereign debt crises, because exit allows countries to reduce their liabilities through a currency redenomination. As market participants anticipate this possibility, sovereign debt crises intensify. We establish this formally within a small open economy model of changing policy regimes. The model permits explosive dynamics of debt and sovereign yields inside currency unions and allows us to distinguish between exit expectations and those of an outright default. By estimating the model on Greek data, we quantify the contribution of exit expectations to the crisis dynamics during 2009 to 2012.

We studied an underrepresented area in the international business (IB) literature: the effect of country context distance on the distribution of decision-making autonomy across headquarters and foreign affiliates. Foreign affiliates directly contribute to the competitive advantages of multinational enterprises, highlighting the importance of such intra-firm collaboration. The division of decision-making autonomy is a core issue in the management of headquarters–subsidiary relationships. The main contribution of our paper is that we confront two valid theoretical frameworks – business network theory and agency theory – that offer contradictory hypotheses with respect to the division of decision-making autonomy. Our study is among the first to examine this dilemma with a unique dataset from five Central and Eastern European transition countries. The empirical results provide convincing support for our approach to the study of subsidiary decision-making autonomy.

This note shows that the German public sector balance benefited significantly from the European/Greek debt crisis, because of lower interest payments on public sector debt. This is due to two effects: One, in crisis times investors disproportionately seek out safe investments (“flight to safety“), bidding down the returns on safe-haven assets. We show that German bunds strongly benefited from this effect during the Greek debt crisis. Second, while the European Central Bank (ECB) monetary policy stance was quite close to an “optimal“ monetary policy stance for Germany from 1999 to 2007, during the crisis monetary policy was too accommodating from a German perspective, due to the emerging disparities across the Euro area. As a result of these two effects, our calculations suggest that the German sovereign saved more than 100 billion Euros in interest expenses between 2010 and mid-2015. That is, Germany benefited from the Greek crisis even in case that Greece defaults on all its debt (a total of 90 billions) owed to the German government via diverse channels (European Stability Mechanism [ESM], International Monetary Fund [IMF], or directly).

We studied an underrepresented area in the international business (IB) literature: the effect of country context distance on the distribution of decision-making autonomy across headquarters and foreign affiliates. Foreign affiliates directly contribute to the competitive advantages of multinational enterprises, highlighting the importance of such intra-firm collaboration. The division of decision-making autonomy is a core issue in the management of headquarters–subsidiary relationships. The main contribution of our paper is that we confront two valid theoretical frameworks – business network theory and agency theory – that offer contradictory hypotheses with respect to the division of decision-making autonomy. Our study is among the first to examine this dilemma with a unique dataset from five Central and Eastern European transition countries. The empirical results provide convincing support for our approach to the study of subsidiary decision-making autonomy.

In the present paper, we build a bivariate semiparametric dynamic panel model to repro-duce the joint dynamics of sovereign ratings and government bond yields. While the individual equations resemble Pesaran-type cointegration models, we allow for different long-run relationships in both equations, nonlinearities in the level effect of ratings, and asymmetric effects in changes of ratings and yields. We find that the interest rate equation and the rating equation imply significantly different long-run relationships. While the high persistence in both interest rates and ratings might lead to the misconception that they follow a unit root process, the joint analysis reveals that they converge slowly to a joint equilibrium. While this indicates that there is no vicious cycle driving countries into default, the persistence of ratings is high enough that a rating shock can have substantial costs. Generally, the interest rate adjusts rather quickly to the risk premium that is in line with the rating. For most ratings, this risk premium is only marginal. However, it becomes substantial when ratings are downgraded to highly speculative (a rating of B) or lower. Rating shocks that drive the rating below this threshold can increase the interest rate sharply, and for a long time. Yet, simulation studies based on our estimations show that it is highly improbable that rating agencies can be made responsible for the most dramatic spikes in interest rates.

After every major financial crisis, the question about the responsibility of the rating agencies resurfaces. Regarding government bonds, the most frequently voiced concern targeted “unreasonably” bad ratings that might trigger capital flights and increasing risk premia which sanction further rating downgrades. In this paper we develop a multivariate, nonparametric version of the Pesaran type cointegration model that allows for nonlinearities, to show that a unique equilibrium between ratings and sovereign yields exists. Therefore, we have to reject the concern that there is an unholy cycle leading to certain default in the long run.

This paper links granular data of financial institutions to global macroeconomic variables using an infinite-dimensional vector autoregressive (IVAR) model framework. The approach taken allows for an assessment of the two-way links between the financial system and the macroeconomy, while accounting for heterogeneity among financial institutions and the role of international linkages in the transmission of shocks. The model is estimated using macroeconomic data for 21 countries and default probability estimates for 35 euro area financial institutions. This framework is used to assess the impact of foreign macroeconomic shocks on default risks of euro area financial firms. In addition, spillover effects of firm-specific shocks are investigated. The model captures the important role of international linkages, showing that economic shocks in the US can generate a rise in the default probabilities of euro area firms that are of a significant magnitude compared to recent historical episodes such as the financial crisis. Moreover, the potential heterogeneity across financial firms.

This paper contributes to the discussion on the importance of physical distance in the emergence of cross-region collaborative Research and Development (R&D) interactions. The proximity theory, and its extensions, is used as a theoretical framework. A spatial interaction model for count data was implemented for the empirical analysis of German data from the period from 2005 to 2010. The results show that all tested proximity measurements (geographical, cognitive, social and institutional proximity) have a significant positive influence on collaboration intensity. The proximity paradox, however, cannot be confirmed for geographical, social and institutional proximity, but for cognitive proximity.

I use the relative prices of American Depositary Receipts and their underlying stocks to derive devaluation expectations. I find that stockholders currently perceive an overvalued peso. Devaluation expectations are driven by the incentive of competitive devaluation and sovereign default risk.

Our primary goal is to analyse the drivers of evolutionary network change processes by using a stochastic actor-based simulation approach. We contribute to the literature by combining two unique datasets, concerning the German laser and automotive industry, between 2002 and 2006 to explore whether geographical, network-related, and techno-logical determinants affect the evolution of networks, and if so, as to what extent these determinants systematically differ for science-driven industries compared to scale-intensive industries. Our results provide empirical evidence for the explanatory power of network-related determinants in both industries. The ‘experience effect’ as well as the ‘transitivity effects’ are significant for both industries but more pronounced for laser manufacturing firms. When it comes to ‘geographical effects’ and ‘technological ef-fects’ the picture changes considerably. While geographical proximity plays an important role in the automotive industry, firms in the laser industry seem to be less dependent on geographical closeness to cooperation partners; instead they rather search out for cooperation opportunities in distance. This might reflect the strong dependence of firms in science-driven industries to access diverse external knowledge, which cannot necessarily be found in the close geographical surrounding. Technological proximity negatively influences cooperation decisions for laser source manufacturers, yet has no impact for automotive firms. In other words, technological heterogeneity seems to ex-plain, at least in science-driven industries, the attractiveness of potential cooperation partners.