Early Career Talks on Financial Mathematics and Engineering - Belief Estimation and Robo-Advising

Early Career Talks on Financial Mathematics and Engineering - Belief Estimation and Robo-Advising

Society for Industrial and Applied Mathematics via YouTube Direct link

Market Dynamics

17 of 27

17 of 27

Market Dynamics

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Early Career Talks on Financial Mathematics and Engineering - Belief Estimation and Robo-Advising

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  1. 1 Intro
  2. 2 Motivation: Electronic Markets
  3. 3 Optimal Execution Problems: Trading Dynamics
  4. 4 Optimal Execution Problems: Incomplete Information
  5. 5 Major-Minor LQG Mean Field Games
  6. 6 Mean Field Evolution
  7. 7 Major Agent's Kalman Filter
  8. 8 Separation Principle for Major Agent
  9. 9 Minor Agent's Kalman Filter
  10. 10 Best Response Strategies
  11. 11 Mean Field Consistency Equations
  12. 12 Simulation Results
  13. 13 Optimal Execution Problems: Liquidation Objective
  14. 14 Robo-Advisors
  15. 15 Model of Robo-Advising
  16. 16 Research Questions
  17. 17 Market Dynamics
  18. 18 Client's Risk Aversion
  19. 19 Human-Machine Interaction
  20. 20 Robo-Advisor's Model of Client
  21. 21 Adaptive Mean-Variance Criterion
  22. 22 Optimal Investment Strategy
  23. 23 Structure of Optimal Strategy
  24. 24 Computation of Optimal Strategy
  25. 25 Interaction and Portfolio Personalization
  26. 26 Economic Transitions and Investment Performance
  27. 27 Future Developments

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