By employing Text Mining methods such as Structural Topic Modeling to examine all 2,135 speeches by ECB Executive Board members between February 1997 and October 2019, this paper identifies and analyses a significant semantic change that occurred in ECB communication in the transition from Great...

"Big data" is becoming an increasingly important aspect of our daily lives as the digital sources of information and intelligence that it encompasses become more structured and more publicly available. These sources may enable the generation of new datasets providing high-frequency and timely...

Focussing on repo specialness premia, using ISIN-specific transaction-by-transaction data of one-day maturity repos, we document a gradual shift from cash- to securities-driven transactions in euro area repo markets over the period 2010-2018. Compared to earlier studies focussing only on...

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...