Real-Time Climate Controversy Detection
We are excited to announce the publication of our new research paper written in the context of our Innossuisse project […]
AI in Finance
Fine-tuning Large Language Models for Stock Return Prediction Using Newsflow
Return forecasting plays a crucial role in identifying stocks with profit potential, making it a valuable tool for constructing investment
LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage
The below research paper, published at the end of last year, challenges the belief that Large Language Models (LLMs) are
ESG2Risk: A Deep Learning Framework from ESG News to Stock Volatility Prediction
Incorporating environmental, social, and governance (ESG) considerations into systematic investments have drawn numerous attention recently. In this paper, we focus
A Deep Learning Framework for Climate Responsible Investment
Incorporating climate considerations into portfolio analysis and systematic investments has drawn numerous attention recently. It is motivated by the pursuit
DeepSeek & the Recent Market Dynamics
The success of DeepSeek with the release of their reasoning language model R1 is making the impact of recent open