Computational methods to gauge investor sentiment from commonly used online data sources that rely on machine learning classifiers and lexicons have shown considerable promise, but suffer from measurement and classification errors. In our work, we develop a simple, direct and unambiguous...

This paper investigates in a non-linear setting the impact on the real economy of frictions stemming from the financial sector. We develop a medium scale DSGE model with a banking sector where an occasionally binding constraint on banks' capital induces a relevant non-linearity. The model -...

Hungarian debt level has steadily increased since 2001, with the debt-to-GDP ratio reaching about 84% at end-2011. This high level combined with significant volatility of macroeconomic variable influencing potential future debt paths – GDP growth, exchange rate and interest spreads – put...

We point out that the simple slice sampler generates chains that are correlation-free when the target distribution is centrally symmetric. This property explains several results in the literature about the relative performance of the simple and product slice samplers. We exploit it to improve...

Immer mehr Unternehmen intensivieren vor dem Hintergrund zunehmender Komplexität sowie technologischer und wettbewerblicher Dynamik ihre Lieferanten- und Kundenbeziehungen bis hin zu engen Partnerschaften. Sie sehen diese als Voraussetzung für dauerhaft wirkende Wettbewerbsvorteile an.// Mit...