Inside the model
What can its architecture, representations, and internal probabilities tell us about how it reasons?
University of Melbourne · Finance
Antoine Didisheim
Assistant Professor (Senior Lecturer) of Finance
I study how artificial intelligence works and what it changes in financial markets.
Research agenda
From the inside of AI to the markets it shapes.
I want to understand the mechanisms of AI—from the mathematics and code behind a model to its short- and long-term effects on financial markets.
From models to forecasts
How does AI turn financial text and data into forecasts, confidence, and decisions?
Market consequences
What changes immediately in prices, and what persists in returns over time?
Also in my research: asset pricing, with a focus on machine learning and large factor models.
Selected work
Recent research
A Financial Brain Scan of the LLM
With Hui Chen, Mohammad Pourmohammadi, Luciano Somoza, and Hanqing Tian
Out of the Black Box: Uncertainty Quantification for LLMs via Conditional Probabilities
With Hui Chen and Luciano Somoza
The Inefficient Pricing of News
With Bryan Kelly, Mohammad Pourmohammadi, and Hanqing Tian
Characteristic Correlations Matter
With Mohammad Pourmohammadi
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