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© 2005 MIT Sloan School of Management
October 19, 2016
Trading Strategy for
SIFI Insurance
A presentation by:
George Ma
Partha Sarathi Sharma
Viki Qi
Xuyang Lin
Ziang Fang
© 2005 MIT Sloan School of Management
Overview
• Problem Statement
• Solution Approach
• Incorporating for Inflation
• Test Results
• Improvements
© 2005 MIT Sloan School of Management
Investment requirements
© 2005 MIT Sloan School of Management
Key considerations
© 2005 MIT Sloan School of Management
Passive Strategy
Passive Strategy
© 2005 MIT Sloan School of Management
© 2005 MIT Sloan School of Management
Risk Hedging strategy
© 2005 MIT Sloan School of Management
Determining Sigma
To get the optimal weight between the asset classes, we solve
the optimization problem. The constrained functions are as
follows:
© 2005 MIT Sloan School of Management
Determining Sigma
σBM = 0.1%, actively managed portfolio in 5 year horizon
© 2005 MIT Sloan School of Management
Determining Sigma
σBM = 0.05%, 0.1% and 0.2%, actively managed portfolio in 5
year horizon
© 2005 MIT Sloan School of Management
Determining Sigma
Regulators Inputs
1.The capital (CSIFI) SIFI can deploy to cover
losses
2.The confidence that they require SIFI to
work with (rreg)
Factors SIFI controls
1.The promised rate of return (rp)
2.The portfolio size (PF)
(rp – rreg) * PF C≤ SIFI
© 2005 MIT Sloan School of Management
Determining Sigma
© 2005 MIT Sloan School of Management
Determining Sigma
© 2005 MIT Sloan School of Management
Determining Sigma
© 2005 MIT Sloan School of Management
Inflation
© 2005 MIT Sloan School of Management
Testing
© 2005 MIT Sloan School of Management
Data
© 2005 MIT Sloan School of Management
Simplifying Assumptions
© 2005 MIT Sloan School of Management
Results
Passive Strategy (moderate)
© 2005 MIT Sloan School of Management
Results
σBM = 0.05%
© 2005 MIT Sloan School of Management
Results
σBM = 0.1%
© 2005 MIT Sloan School of Management
Results
σBM = 0.2%
© 2005 MIT Sloan School of Management
Further Improvement
© 2005 MIT Sloan School of Management
Thank You

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Proseminar

  • 1. © 2005 MIT Sloan School of Management October 19, 2016 Trading Strategy for SIFI Insurance A presentation by: George Ma Partha Sarathi Sharma Viki Qi Xuyang Lin Ziang Fang
  • 2. © 2005 MIT Sloan School of Management Overview • Problem Statement • Solution Approach • Incorporating for Inflation • Test Results • Improvements
  • 3. © 2005 MIT Sloan School of Management Investment requirements
  • 4. © 2005 MIT Sloan School of Management Key considerations
  • 5. © 2005 MIT Sloan School of Management Passive Strategy
  • 6. Passive Strategy © 2005 MIT Sloan School of Management
  • 7. © 2005 MIT Sloan School of Management Risk Hedging strategy
  • 8. © 2005 MIT Sloan School of Management Determining Sigma To get the optimal weight between the asset classes, we solve the optimization problem. The constrained functions are as follows:
  • 9. © 2005 MIT Sloan School of Management Determining Sigma σBM = 0.1%, actively managed portfolio in 5 year horizon
  • 10. © 2005 MIT Sloan School of Management Determining Sigma σBM = 0.05%, 0.1% and 0.2%, actively managed portfolio in 5 year horizon
  • 11. © 2005 MIT Sloan School of Management Determining Sigma Regulators Inputs 1.The capital (CSIFI) SIFI can deploy to cover losses 2.The confidence that they require SIFI to work with (rreg) Factors SIFI controls 1.The promised rate of return (rp) 2.The portfolio size (PF) (rp – rreg) * PF C≤ SIFI
  • 12. © 2005 MIT Sloan School of Management Determining Sigma
  • 13. © 2005 MIT Sloan School of Management Determining Sigma
  • 14. © 2005 MIT Sloan School of Management Determining Sigma
  • 15. © 2005 MIT Sloan School of Management Inflation
  • 16. © 2005 MIT Sloan School of Management Testing
  • 17. © 2005 MIT Sloan School of Management Data
  • 18. © 2005 MIT Sloan School of Management Simplifying Assumptions
  • 19. © 2005 MIT Sloan School of Management Results Passive Strategy (moderate)
  • 20. © 2005 MIT Sloan School of Management Results σBM = 0.05%
  • 21. © 2005 MIT Sloan School of Management Results σBM = 0.1%
  • 22. © 2005 MIT Sloan School of Management Results σBM = 0.2%
  • 23. © 2005 MIT Sloan School of Management Further Improvement
  • 24. © 2005 MIT Sloan School of Management Thank You