Centre for Quantitative Finance » People » Team
Systemic Risk, General Equilibrium, Market Frictions, Stochastic Control, Incomplete Markets
Model Uncertainty in Finance, Martingale Optimal Transport, Stochastic Optimal Control, Reinforcement Learning, Credit Risk
Classification Problem, Augmented Lagrangian Method, Alternating Direction Methods of Multipliers, Large-Scale Optimization Problem
Mathematical Logic, Recursion Theory, Reverse Mathematics, Higher Recursion Theory, Ramsey’s Theorem on Trees
Capital Structure, Structure Credit Risk Model, Corporate Finance, Convertible Bonds, Callable Bonds
Spatial-temporal Econometrics, Robust Reinforcement Learning, Machine Learning in Finance, Nowcasting, Portfolio Optimization
eXplainable AI, Data Science and Forecasting, Quantum Finance
Natural Language Processing, Deep Learning, Financial Forecasting
Mean Field Game, Mean Field Control, Stochastic Control, Gaussian Process, Cryptocurrency
Portfolio Optimization, Deep Reinforcement Learning, Stochastic Control, Natural Language Processing, Gaussian Processes
Stochastic Control, Portfolio Optimization, Volatility Models Calibration, Inverse Problem, Option Pricing
Portfolio Optimization, Stochastic Modelling, Stochastic Control, Reinforcement Learning, Game Theory
Portfolio Allocation, Mean Field Games, Systematic Market Making, Gaussian Process, Deep Reinforcement Learning
Stochastic Control, Mean Field Games and their Application, Machine Learning in Finance, Transformers
Stochastic Control, Topological Data Analysis, Complex Geometry, Machine Learning
Stochastic Control, Reinforcement Learning, Model uncertainty, Robustness, Portfolio optimization
Stochastic Control, Portfolio Optimization, Option Pricing, Deep learning, Reinforcement Learning
Corporate Finance, Asset Pricing, Mathematical Economics, Stochastic Control, Stochastic Analysis