Biography

Aymeric Vie is a quantitative researcher in a quantitative hedge fund and a former DPhil student at the Mathematical Institute of the University of Oxford. His DPhil thesis, supervised by Doyne Farmer and Rama Cont, was titled "Forecasting and trading strategies in a market ecology" and built a data-driven, large-scale agent-based model of the US stock market with thousands of digital twins of investment funds, for forecasting and building trading strategies. Aymeric's current and previous research topics include go/weiqi/baduk studies, genetic algorithms/programming, evolutionary search methods, networks, forecasting social variables and agent-based models. 

Recent Publications

Feb 2023
Journal
Insights into the accuracy of social scientists’ forecasts of societal change
in Nature Human Behaviour
The Forecasting Collaborative ,  Aymeric Vié
Oct 2022
Paper
Towards Evology: a Market Ecology Agent-Based Model of US Equity Mutual Funds
Aymeric Vié ,  Maarten Scholl ,  Alissa M. Kleinnijenhuis ,  J. Doyne Farmer
Jul 2022
Paper
Feb 2022
Journal
Sept 2021
Working Paper
Qualities, challenges and future of genetic algorithms: a literature review
Aymeric Vié ,  Alissa M. Kleinnijenhuis ,  J. Doyne Farmer
Jul 2021
Journal
Jul 2021
Journal
Population network structure impacts genetic algorithm optimisation performance
in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '21)
Aymeric Vié
Jul 2020
Journal
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13 Jun 24
@12:00

INET Oxford Summer Research Meeting 2024

The event is open to all INET Oxford researchers, staff, visitors, and associate members

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