Early Career Talks on Financial Mathematics and Engineering - Belief Estimation and Robo-Advising
Society for Industrial and Applied Mathematics via YouTube
Overview
Syllabus
Intro
Motivation: Electronic Markets
Optimal Execution Problems: Trading Dynamics
Optimal Execution Problems: Incomplete Information
Major-Minor LQG Mean Field Games
Mean Field Evolution
Major Agent's Kalman Filter
Separation Principle for Major Agent
Minor Agent's Kalman Filter
Best Response Strategies
Mean Field Consistency Equations
Simulation Results
Optimal Execution Problems: Liquidation Objective
Robo-Advisors
Model of Robo-Advising
Research Questions
Market Dynamics
Client's Risk Aversion
Human-Machine Interaction
Robo-Advisor's Model of Client
Adaptive Mean-Variance Criterion
Optimal Investment Strategy
Structure of Optimal Strategy
Computation of Optimal Strategy
Interaction and Portfolio Personalization
Economic Transitions and Investment Performance
Future Developments
Taught by
Society for Industrial and Applied Mathematics