Predicting investor behaviour in European bond markets through machine learning
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. ...
Future Study - Banking Specialists 2030
The study examines on the basis of different scenarios which future challenges. It examines the changes in the significance and competence requirements in the various fields of activity and shows the consequences for career development and the demands on educational programs.
European government bond dynamics and stability policies: taming contagion risks
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 ...
1st European COST Conference on Mathematics for Industry in Switzerland
We aim to bring European academics, young researchers, students and industrial practitioners together to promote «Mathematics for Industry» in Switzerland. We want to promote «Mathematics for Industry» in Switzerland, similar to what ECMI is doing on an European-wide level. We have three thematic workshops, focusing ...
Multi-Asset Investment Process using Bayes Ensembles of Trading Models
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 ...