Financial Math

Currently research in financial mathematics at Stanford is in two broad areas. One is on mathematical problems arising from the analysis of financial data; it involves statistical estimation methods for large data sets, often using random matrix theory and in particular dynamic or time-evolving large random matrices. The other is multi-agent stochastic control problems that model interacting markets. Mean field games are an example that give rise to mathematical problems at the interface between differential equations and stochastic analysis.