In the paper we test for the different reactions of stock markets to the current financial crisis. We focus on Central European stock markets, namely the Czech, Polish and Hungarian ones, and compare them to the German and U.S. benchmark stock markets. Using wavelet analysis, we decompose a time...

Das Papier zeigt, dass die Verteilung der regionalen Arbeitslosenquoten in Deutschland stark persistentes Verhalten aufweist. Außerdem zeigen panel unit root tests und autoregressive modelle mit fixen Effekten, dass regionale Arbeitslosenquoten eher bedingter als unbedingter Konvergenz folgen....

Die Ergebnisse der Anpassung nach Arbeitsnachfrageschocks am Arbeitsort für Bundesländer und Kreise nach dem Modell von Blanchard/Katz (1992) entsprechen den Ergebnissen aus anderen Studien in diesem Bereich. Sie zeigen, dass die Anpassung auf regionsspezifische Schocks im Jahr des Schocks...

Die Studie untersucht Veränderungen der Arbeitslosenquote in westdeutschen Kreisen im Zeitraum 1992-2004 mit Hilfe der Chain Reaction Theory of unemployment (CRT). Die Schätzungen zeigen, dass sowohl Anpassungsprozesse als auch exogene Schocks für die Veränderungen verantwortlich waren....

In this paper, we contribute to the literature on international stock market comovement. The novelty of our approach lies in usage of wavelet tools to high-frequency financial market data, which allows us to understand the relationship between stock market returns in a different way. Major part...

The paper investigates the predictive power of a new survey implemented by the Federal Employment Agency (FEA) for forecasting German unemployment in the short run. Every month, the CEOs of the FEA’s regional agencies are asked about their expectations of future labor market developments. We...

This paper investigates the role of mismatch between job seekers and job openings for the forecasting performance of a labor market matching function. In theory, higher mismatch lowers matching efficiency which increases the risk that the vacancies cannot be filled within the usual period of...

Assessing the extreme events is crucial in financial risk management. All risk managers and financial institutions want to know the risk of their portfolio under rare events scenarios. We illustrate a multivariate market risk estimating method which employs Monte Carlo simulations to estimate...

This paper investigates the causal effect of global value chain (GVC)-related trade on the German labor market during the COVID-19 crisis, using a difference-in-differences approach combined with entropy balancing. The analysis of monthly establishment-level data from January 2019 to December...