RP3: Deep Knowledge Extraction from Financial, Business, and Social Text (WP1)

This research project aims to transform unstructured textual content in multiple languages and formats into a structured form suitable for traditional analytic techniques in financial decision-making. The challenge is to extract semantically annotated facts in the form of relationships between concepts and entities mentioned in a stream of documents and social media. The task fits […]

03.11.2016 Read more

RP13: Machine Learning Algorithms for Risk Management in Trading Activities (WP4)

The main objective is to develop a prototype framework for pricing and risk management using machine learning  algorithms and a large variety of heterogeneous and high-volume data, including tick-by-tick quotes of bond prices, market data underlying economic indicators (such as interest rates, foreign exchange rates, inflation rates, and commodity prices) and news feeds. This predictive analytics […]

03.11.2016 Read more