We use a large data set of over 12 million residential mortgages observed over time to investigate the loan default behavior in several European countries. We model the occurrence of default as a function of borrower characteristics, loan-specific variables, and a set of local economic...

We investigate the role and impact of household debt on the economic performance of the European economy during the double-dip recession of 2008-2013. We use a loan-level data set of millions of residential mortgages originated between 2000 and 2013 to calculate regional indicators of household...

The goal of this paper is to propose a dictionary specifically designed for textual applications in economics. We construct the dictionary with two important characteristics: 1) to have a wide coverage of terms typically used in documents discussing economic and financial concepts, and 2) to...

The goal of this paper is to evaluate the informational content of sentiment extracted from news articles about the state of the economy. We propose a Fine-Grained Aspect-based Sentiment analysis that has two main characteristics: 1) we consider only the text in the article that is semantically...

The last two decades have seen a tremendous increase in the adoption of Semantic Web technologies as a result of the availability of big data, the growth in computational power and the advancement of artificial intelligence (AI) technologies. Cutting-edge semantic techniques are now able to...

We evaluate the informational content of news-based sentiment indicators for forecasting the Gross Domestic Product (GDP) of the five major European economies. The sentiment indicators that we construct are aspect-based, in the sense that we consider only the text that is related to a specific...