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Dynamic Asset Allocation Techniques

Published online by Cambridge University Press:  12 March 2012

S. Jarvis ,
A. Lawrence  and
S. Miao
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Abstract

Investment strategy is often static, punctuated by infrequent reviews. For most long-term investors, this practice results in large risks being taken that could otherwise be managed with a more dynamic investment policy. The bulk of this paper is aimed at analysing and describing two multi-period investment strategy problems — in order to derive potential dynamic strategies. Along the way, we show how static investment strategies can fail to deliver an investor's long-term objectives and describe the relationship of our work to other areas of the finance literature. This paper does not cover trading strategies such as Tactical Asset Allocation.

This paper sets out two main approaches to the multi-period problem. The first approach optimises a utility function. The second approach uses partial differential equation (PDE) technology to optimise a target statistic (in this case, TailVaR) subject to return and long-only constraints.

Keywords

Investment StrategyStochastic ModellingDynamic ProgrammingMulti-Period OptimisationTail VaRUtility
Type
Sessional meetings: papers and abstracts of discussions
Information
British Actuarial Journal , Volume 15 , Issue 3 , September 2009 , pp. 573 - 655
Copyright
Copyright © Institute and Faculty of Actuaries 2009

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