Outperformance and Tracking: Dynamic Asset Allocation for Active and Passive Portfolio Management
Abstract
Portfolio management problems are often divided into two types: active and passive, where the objective is to outperform and track a preselected benchmark, respectively. Here, we formulate and solve a dynamic asset allocation... [ view full abstract ]
Portfolio management problems are often divided into two types: active and passive, where the objective is to outperform and track a preselected benchmark, respectively. Here, we formulate and solve a dynamic asset allocation problem that combines these two objectives in a unified framework. We look to maximize the expected growth rate differential between the wealth of the investor's portfolio and that of a performance benchmark while penalizing risk-weighted deviations from a given tracking portfolio. Using stochastic control techniques, we provide closed-form expressions for the optimal allocation and show how the optimal strategy can be related to the growth optimal portfolio.
Authors
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Ali Al-Aradi
(University of Toronto)
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Sebastian Jaimungal
(University of Toronto)
Topic Areas
Asset Allocation , Optimal Control , Optimal Investment
Session
TU-P-B1 » Optimal Control and Optimal Investment 1 (14:30 - Tuesday, 17th July, Beckett 1 )
Presentation Files
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