This paper presents a novel technique to perform multilingual sentiment classification of financial documents drawing on methods from computational linguistics. The challenge is to efficiently analyze large volumes of text produced by corporations and companies in various languages to find...

We examine whether empirical results using text-based sentiment of U.S. annual reports depend on the underlying context, within documents, from which sentiment is measured. We construct a clause-level measure of context, showing that sentiment is driven by many different contexts and that...

In this analysis, we investigate ECB communication by analyzing more than 3,800 speeches from 1999 until 2022. The study measures the attention which ECB Council members pay to various implicit and explicit monetary policy objectives. While price stability, according to the Maastricht Treaty, is...

While the actions of economists and politicians can be influenced by facts, statistics or empirical predictions, narratives are becoming an increasingly important factor for the decision making in the field of economics and politics. Evaluating such narratives not at selective points in time but...

Identifying narratives in texts is a challenging task, as not only narrative elements such as the factors and events have to be identified but their semantic relation has to be explained as well. Despite this complexity, an effective technique to extract narratives from texts can have a great...