We model economic policy uncertainty (EPU) in the four largest euro area countries by applying machine learning techniques to news articles. The unsupervised machine learning algorithm used makes it possible to retrieve the individual components of overall EPU endogenously for a wide range of...

We examine whether artificial intelligence (AI) can decipher European Central Bank's communication. Employing 1769 inter-meeting verbal communication events of the European Central Bank's Governing Council members, we construct an AI-based indicator evaluating whether communication is leaning...

We develop a deep learning model to detect emotions embedded in press conferences after the meetings of the Federal Open Market Committee and examine the influence of the detected emotions on financial markets. We find that, after controlling for the Fed's actions and the sentiment in policy...