In January 2007 the International Monetary Fund (IMF) published, on an ad hoc basis, a series of financial soundness indicators (FSIs) based on a common methodology (the IMF compilation Guide) for 62 countries, including all 27 European Union countries. The European Central Bank (ECB), jointly...

In January 2007 the International Monetary Fund (IMF) published, on an ad hoc basis, a series of financial soundness indicators (FSIs) based on a common methodology (the IMF compilation Guide) for 62 countries, including all 27 European Union countries. The European Central Bank (ECB), jointly...

This report presents the findings of a global survey on AI in Financial Services jointly conducted by the Cambridge Centre for Alternative Finance (CCAF) at the University of Cambridge Judge Business School and the World Economic Forum in Q2-Q3 2019. Representing one of the largest global...

In this work, we apply cutting edge machine learning algorithms to one of the oldest challenges in finance: Predicting returns. For the sake of simplicity, we focus on predicting the direction (e.g. either up or down) of several liquid ETFs and do not attempt to predict the magnitude of price...

An essential element of the work of the Fund is to monitor and forecast international trade. This paper uses SWIFT messages on letters of credit, together with crude oil prices and new export orders of manufacturing Purchasing Managers' Index (PMI), to improve the short-term forecast of...

The shipping industry has been quite successful in reducing the number of major accidents in the past. In order to continue this development in the future, innovative leading risk indicators can make a significant contribution. If designed properly, they enable a forward-looking identification...

We establish the out-of-sample predictability of monthly exchange rate changes via machine learning techniques based on 70 predictors capturing country characteristics, global variables, and their interactions. To guard against overfitting, we use the elastic net to estimate a high-dimensional...