Investing Research Articles

Can large language models like ChatGPT work with numbers to support technical analysis of stock returns rather than just words to support sentiment analysis? In his April 2024 paper entitled “StockGPT: A GenAI Model for Stock Prediction and Trading”, Dat Mai introduces StockGPT, an autoregressive model trained and tested on stock returns rather than firm… Keep Reading

How can researchers ensure that large language models (LLM), when tasked with time series forecasting, do not inject look-ahead bias and thereby inflate measured predictive power? In his brief November 2024 paper entitled “Look-Ahead Bias in Large Language Models (LLMs): Implications and Applications in Finance”, Miquel Noguer I Alonso addresses sources of LLM look-ahead bias… Keep Reading

Can large language models (LLM) handle complex financial reasoning tasks that require multi-step logic, market knowledge and regulatory adherence? In his December 2024 paper entitled “Large Language Models in Finance: Reasoning”, Miquel Noguer I Alonso surveys and extends techniques for enhancing LLM reasoning capabilities. He presents detailed finance-specific coding examples, including dynamic portfolio optimization, scenario… Keep Reading

Do AIs that incorporate audio and video (multimodal) aspects of firm/stock analysis (e.g. from YouTube), including tone, delivery style and facial expressions, distill better buy and sell recommendations from financial influencers (finfluencers) than text-only large language models (LLM)? In their May 2025 paper entitled “VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations”,… Keep Reading

Below is a weekly summary of our research findings for 5/6/24 through 5/10/24. These summaries give you a quick snapshot of our content the past week so that you can quickly decide what’s relevant to your investing needs. Subscribers: To receive these weekly digests via email, click here to sign up for our mailing list.

Recent research in accounting and finance finds that large language models (LLM) beat humans on a variety of related tasks, but the black box nature of LLMs obscures why. Is LLM outperformance real? In his December 2024 paper entitled “Caution Ahead: Numerical Reasoning and Look-ahead Bias in AI Models”, Bradford Levy conducts a series of… Keep Reading

Does combining widely used measures of equity market stress with news sentiment as interpreted by large language models such as ChatGPT support a robust risk-on/risk-off market timing strategy? In their April 2024 paper entitled “Stress Index Strategy Enhanced with Financial News Sentiment Analysis for the Equity Markets”, Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, David Saltiel,… Keep Reading

Can large language models (LLM) be trusted for economic/financial forecasts during periods within their training data? In their April 2025 paper entitled “The Memorization Problem: Can We Trust LLMs’ Economic Forecasts?”, Alejandro Lopez-Lira, Yuehua Tang and Mingyin Zhu evaluate use of  ChatGPT 4o (knowledge cutoff October 2023) for economic/financial forecasting via: Forecasts of variables before… Keep Reading

What happens as more and more web-scraped training data for Large Language Models (LLM), such as ChatGPT, derives from outputs of predecessor LLMs? In their May 2023 paper entitled “The Curse of Recursion: Training on Generated Data Makes Models Forget”, Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot and Ross Anderson investigate changes… Keep Reading

Below is a weekly summary of our research findings for 2/20/24 through 2/23/24. These summaries give you a quick snapshot of our content the past week so that you can quickly decide what’s relevant to your investing needs. Subscribers: To receive these weekly digests via email, click here to sign up for our mailing list.