Multi-Stage Optimization For Long-Term Investors

@inproceedings{Mulvey2002MultiStageOF,
  title={Multi-Stage Optimization For Long-Term Investors},
  author={John M. Mulvey},
  year={2002}
}
AbstractMulti-stage simulation and optimization models are effective for solving long-term financial planning problems. Prominent examples include: asset-liability management for pension plans, integrated risk management for insurance companies, and long-term planning for individuals. Several applications will be briefly mentioned.A multi-stage framework provides advantages over single-period myopic approaches. First, the investor gains an understanding of the risks that a long-term goal will… 
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References

SHOWING 1-10 OF 32 REFERENCES
Dynamic Strategies for Asset Allocation
As risky assets (e.g., stocks) fluctuate in value, the value of a portfolio containing them may change, as may their allocation relative to the safe assets (e.g., bills) within the portfolio. One
The Russell-Yasuda Kasai Model: An Asset/Liability Model for a Japanese Insurance Company Using Multistage Stochastic Programming
Frank Russell Company and The Yasuda Fire and Marine Insurance Co., Ltd., developed an asset/liability management model using multistage stochastic programming. It determines an optimal investment
Dynamic Asset Pricing Theory
"Dynamic Asset Pricing Theory" is a textbook for doctoral students and researchers on the theory of asset pricing and portfolio selection in multiperiod settings under uncertainty. The asset pricing
Multi-stage stochastic linear programs for portfolio optimization
TLDR
A scheme based on a blending of classical Benders decomposition techniques and a special technique, called importance sampling, is used to solve this general class of multi-stochastic linear programs.
A Diffusion Model for Optimal Portfolio Selection in the Presence of Brokerage Fees
TLDR
It is proved that an optimal policy keeps the ratio of funds in risky and nonrisky assets within a certain interval with minimal effort.
Worldwide asset and liability modeling
Part I. Introduction: 1. Asset and liability management systems for long-term investors: discussion of the issues John M. Mulvey and William T. Ziemba Part II. Static Portfolio Analysis for Asset
An Asset and Liability Management System for Towers Perrin-Tillinghast
Towers Perrin-Tillinghast employs a stochastic asset-and-liability management system for helping its pension plan and insurance clients understand the risks and opportunities related to capital
Portfolio Selection with Transaction Costs
TLDR
It is shown that the optimal buying and selling policies are the local times of the two-dimensional process of bank and stock holdings at the boundaries of a wedge-shaped region which is determined by the solution of a nonlinear free boundary problem.
Generating Scenarios for the Towers Perrin Investment System
The Towers Perrin company applies integrative asset-liability planning to the problem of pension management. The planning system depends upon a stochastic economic projection model—called
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