This review paper articulates the relationship between prediction market data and event studies, with a special focus on applications in political economy. Event studies have been used to address a variety of political economy questions from the economic effects of party control of government to...

A probabilistic forecast takes the form of a predictive probability distribution over future quantities or events of interest. Probabilistic forecasting aims to maximize the sharpness of the predictive distributions, subject to calibration, on the basis of the available information set. We...

This paper uses a dataset of more than 900,000 news stories to test whether news can predict stock returns. We measure sentiment with a proprietary Thomson-Reuters neural network. We find that daily news predicts stock returns for only 1 to 2 days, confirming previous research. Weekly news,...

This paper tests for predictability of output growth in a panel of 22 emerging market economies. We use pooled panel data methods that control for endogeneity and persistence in the predictor variables to test the predictive power of a large set of financial aggregates. Results show that stock...

The WHO defines vaccine hesitancy as one of the ten biggest threats to global health nowadays. To contribute to finding a solution for vaccine hesitancy, this study aims at gaining new insights on the influence of the default effect, anticipated regret, and decision roles on vaccination...

This paper summarises the findings of the Eurosystem’s Expert Group on Inflation Expectations (EGIE), which was one of the 13 work streams conducting analysis that fed into the ECB’s monetary policy strategy review. The EGIE was tasked with (i) reviewing the nature and behaviour of inflation...

With the rise of globalization beginning in the 20th century, came the inevitable rise of offshoring — companies moving at least some parts of their operations abroad in order to cut costs and increase profits. In recent years, however, international developments, such as the rise of wages in...

The usage of machine learning in finance has been increased a lot in the past decade. Machine learning is a new methodological innovation. Finance uses many machine learning methods (supervised, unsupervised, reinforcement learning, and others) to solve fundamentally different problems than...