The Big Data Analytics Research Platform work package focuses on the creation of new knowledge, about theoretical approaches, methodological novelties and predictive accuracy in the application of big data analytics to finance. Specifically, the platform comprises the research work which all partners of the project undertake for the purpose of ...

The FinTech-ho2020 is a 2-year project (January 2019 – December 2020) which will develop a European knowledge exchange platform aimed at introducing and testing common risk management solutions that automatize compliance of fintech companies (RegTech) and, at the same time, increase the efficiency of supervisory activities (SupTech). This goal will ...

ICMA Quarterly Report (11.7.2019), p.23: Predicting investor behaviour in European bond markets through machine learning The quant team of ESM is developing, in cooperation with the Zurich University of Applied Sciences, a machine-learning based application to predict investor demand for syndicated bond issuances. A key reason for using machine ...

From 2004 to 2015, the market perception of the sovereign risks of euro area government bonds experienced several different phases, reflected in a clear time structure of the correlation matrix between the yield changes. “Core” and “peripheral” bonds cluster in a bloc-like structure, but the correlations between the blocs are time-dependent and ...

Since 2009, low interest rates and asset purchases by central banks are severely distorting investment opportunities and trends in financial markets. The performance of active investment strategies decreased substantially since then. This project aims to provide an investment process that finds the optimal long/short-positions in various liquid ...