Statistical analysis to depict the influence of news headlines on stock volatility

A statistical approach to depict stock volatility based on general news headlines by exploiting Machine Learning methods such as sentiment analysis and neural networks. The results from the analysis are then used in the financial market with a particular trading strategy, called a bottom straddle. We conclude that not enough information can be...

Bayesian networks in performance of cyclists

This report examines the possibility of modeling the performance of professional cyclists of Team Sunweb using Bayesian Networks. This research has an objective to see how these structures work and how they fit in the complex world of cycling. We want to compare different cyclists of Team Sunweb in the Grand Tours (Giro d'Italia, Tour de France...