This paper deals with stress tests for credit risk and shows how exploiting the discretion when setting up and implementing a model can drive the results of a quantitative stress test for default probabilities. For this purpose, we employ several variations of a CreditPortfolioView-style model...

In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...

In this paper we set up a New-Keynesian model with a heterogenous banking sector to analyze liquidity problems on the interbank market. The presence of an interbank market is essential to consider a situation where an increased liquidity supply by the central bank is only partially passed on to...

In this paper we study the impact of model uncertainty, which occurs when linking a stress scenario to default probabilities, on reduced-form credit risk stress testing. This type of uncertainty is omnipresent in most macroeconomic stress testing applications due to short time series for banks'...

Economists tend to view a uniform emissions price as the most cost-effective approach to reducing greenhouse gas emissions. This paper offers a different view, focusing on economies where society values the well-being of future generations more than private actors. Employing analytical and...

This paper examines the distributional impacts from (i) harmonizing prices for carbon dioxide emissions across sectors and EU countries and (ii) using alternative rules for carbon revenue distribution. We develop a numerical multi-country multi-sector general equilibrium model of the EU-27...