Abstract
A multiperiod portfolio model provides significant advantages over traditional single-period approaches—especially for long-term investors. Such a framework can enhance risk-adjusted performance and help investors evaluate the probability of reaching financial goals by linking asset and liability policies. Multiperiod portfolio models consist of three basic components: a stochastic scenario generator; a policy rule simulator; and an optimization module that identifies non-dominated solutions. Useful applications are in pension planning, insurance risk management, hedge funds, and asset allocation for individual investors.
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