This paper investigates the impact of news media information on improving short-term GDP growth forecasts by analyzing a large and unique corpus of 12.4 million news articles spanning from 1991 to 2018. We extract business cycle-related sentiment from each article using an annotated dataset from...

Domain-specific dictionaries have prevailed, when conducting the dictionary-based approach to measure the sentiment of textual data in finance. Through the contributions of Bannier et al. (2019a) and Pöferlein (2021), two versions of a dictionary suitable for analyzing German finance-related...

We study the evolution of the European Central Bank's (ECB) monetary policy since July 2021, following the adoption of a new strategy and amid a period of volatile inflation. Utilizing text analysis, we assess changes in the general sentiment of the ECB's communication. Additionally, we employ...