Lecture Content：

Mean Field Game (MFG) is a game theory framework that studies the behavior of bounded rational decision-makers in large-scale systems.The core idea of MFG is to consider the decision-making behavior of each individual in a large-scale group as a result of being influenced by the average behavior of other individuals.By establishing dynamic response equations, this approach effectively captures the dynamic process of collective behavior evolution.In the financial field, MFG can be used to describe and analyze the behavior and interactions of a large number of investors in financial markets.This short course will primarily introduce the foundations of stochastic analysis,mean field game theory and its application in economic and financial fields such as portfolio optimization and asset pricing.

Speaker Introduction：

Chao Zhou is a researcher at the NUS Risk Management Institute.He obtained his PhD from Ecole Polytechnique. His research interests include mathematical finance, stochastic control and deep learning in finance. He has published over 30 papers in top journals such as Mathematical Finance, The Annals of Applied Probability, and The Annals of Probability, etc. Currently, he serves as the director of the Master in Quantitative Finance Programme at NUS.