Our ICAIF 2025 paper — a generative model that learns fund managers’ strategies from holdings, without specifying a utility function.

Analysing investment strategies through factor models and machine learning, this article examines fund classifications, portfolio stability, and strategy replication. It highlights systematic differences across investment styles and explores how neural networks can model fund manager behaviour.

A workshop paper introducing Evology — an empirically calibrated agent-based model that treats US equity mutual funds as an ecology of competing strategies.

A workshop paper using Evology — a calibrated market-ecology agent-based model — as a training environment to search for trading strategies.

Our paper on market ecology is out in PNAS — treating trading strategies as species to explain how markets misprice and destabilise.