1/03/2023 Machine Learning & Artificial Intelligence Time Series Forecasting with Transformer Models and application for Asset Management Since its introduction in 2017 (Vaswani et al., 2017), the Transformer model has excelled in a wide range of tasks involving natural language processing...
13/01/2023 Machine Learning & Artificial Intelligence What do we Learn from a Machine Understanding News Content? Stock Market Reaction to News Using textual data extracted by Causality Link platform from a large variety of news sources (news stories, call transcripts, broker research, etc.),...
22/09/2022 Machine Learning & Artificial Intelligence Real-Time Macro Information and Bond Return Predictability: A Weighted Group Deep Learning Approach This paper proposes a weighted group neural network model and reexamines whether treasury bond returns are predictable when real-time, instead of fully-revised,...
1/07/2022 Machine Learning & Artificial Intelligence Credit Factor Investing with Machine Learning techniques The most common models to assess asset returns are a linear combination of risk factors.
7/04/2022 Machine Learning & Artificial Intelligence Monitoring Narratives: an Application to the Equity Market In this research, we show that variables from the Global Database of Events, Language and Tone (GDELT) convey significant informational content that can...
1/03/2022 Machine Learning & Artificial Intelligence Augmenting Investment Decisions with Robo-Advice We study the introduction of robo-advising on a large representative sample of Employee Saving Plans.
26/04/2021 Machine Learning & Artificial Intelligence Robo-Advising: Less AI and More XAI? We start by considering some of the key reasons behind the academic and industry interest in robo-advisors. We discuss how robo-advice could potentially...