This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and
machine learning (ML) in the financial sector. It highlights the benefits these technologies …

This paper reviews the main streams of Data Science algorithm usage at central banks and
shows their rising popularity over time. It contains an overview of use cases for …

This paper describes recent work to strengthen nowcasting capacity at the IMF's European
department. It motivates and compiles datasets of standard and nontraditional variables …

Recent years have seen a growing trend to utilize" alternative data" in addition to traditional
statistical data in order to understand and assess economic conditions in real time. In this …

We nowcast Japan's exports using maritime big data (the Automatic Identification System
data), which contains information on vessels such as their locations. The data has been only …

The growing importance of services trade in the global economy contrasts with the scarcity
of timely data on this part of international trade. This paper develops models to nowcast …

Solar and wind generation are the primary tools to prevent climate change and high carbon
emissions. Due to their intermittent generation characteristics, solar and wind power plants …

Macroeconomic forecasting is a key task of develo** the outlook for economy of a country
and supporting decision making. In this paper we present a novel approach to …

Zusammenfassung Bisherige Befunde zeigen, dass Inflationserwartungen nicht vollständig
der Hypothese Rationaler Erwartungen folgen. Statt kognitiver Begrenzungen sollen hier …

This paper describes recent work to strengthen nowcasting capacity at the IMF's European
department. It motivates and compiles datasets of standard and nontraditional variables …