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 […]
Research
Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach
This study introduces an advanced approach to stock market prediction following earnings reports by leveraging Large Language Models (LLMs) fine-tuned
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