AI Academic Insights
Discover how S&P Global data is powering AI research at top universities.
Artificial Intelligence is rapidly transforming financial analysis, providing innovative ways to interpret complex data and assess risks with precision. On this page, explore pioneering research from institutions like Booth School of Business and the University of Manchester, that uses S&P Global’s datasets to explore the potential of generative AI models. These videos delve into how AI tackles real financial challenges: from summarizing complex disclosures to pinpointing nuanced risks and forecasting market trends.
New Frontiers of AI in Finance
In this video, Eghbal Rahimikia (The University of Manchester, Alliance Manchester Business School) and Hao Ni (University College London, Department of Mathematics; The Alan Turing Institute) share insights from their research on how AI-based time series foundation models perform in financial forecasting.
The study shows that zero-shot and fine-tuned approaches offer limited value, while models pre-trained from scratch on financial data deliver materially stronger results, particularly when scaled across large datasets. Drawing on S&P Global data to train and test these models across financial forecasting tasks, the research offers a clear perspective on why domain-specific AI models continue to matter in financial applications.
Re-Visiting Large Language Models in Finance
Eghbal Rahimikia from the University of Manchester presents research on a suite of year-specific large language models (LLMs) developed for accounting and finance. Leveraging a range of data including S&P Global’s Key Developments dataset, these models are trained on historical data from 2007 to 2023 to eliminate look-ahead bias, a common limitation in general-purpose LLMs. The study demonstrates that these specialized models consistently outperform larger models, including LLaMA versions 1 through 3, across trading scenarios. Rigorous testing further validates their superior performance, highlighting the impact of tailored AI in advancing financial analysis.
Read the research paper on SSRN
S&P Global data used to conduct this research:
Key Developments