This paper has set itself the objective of studying the importance and the solutions proposed by these artificial intelligence tools to financial decision-making in times of crisis. To meet our objective, we proceeded with a review and schematization of Artificial Intelligence (AI) to address...

Financial crises cause economic, social and political havoc. Macroprudential policies are gaining traction but are still severely under-researched compared to monetary policy and fiscal policy. We use the general framework of sequential predictions also called online machine learning to forecast...

Machine learning tools are well known for their success in prediction. But prediction is not causation, and causal discovery is at the core of most questions concerning economic policy. Recently, however, the literature has focused more on issues of causality. This paper gently introduces some...

Financial crises cause economic, social and political havoc. Macroprudential policies are gaining traction but are still severely under-researched compared to monetary and "fiscal policy. We use the general framework of sequential predictions, also called online machine learning, to forecast...

This study analyzes the effects of binding local speed limits on crash frequency on German motorways. Various geo-spatial data sources are merged to a new data set providing rich information on characteristics for 500-meter segments of large parts of the German motorway network. The empirical...