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Asset allocation under threshold autoregressive models

Song, Na, Siu, Tak Kuen, Ching, Wa-Ki, Tong, Howell and Yang, Hailiang (2011) Asset allocation under threshold autoregressive models. Applied Stochastic Models in Business and Industry, 28 (1). pp. 60-72. ISSN 1524-1904

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Identification Number: 10.1002/asmb.897


We discuss the asset allocation problem in the important class of parametric non-linear time series models called the threshold autoregressive model in (J. Roy. Statist. Soc. Ser. A 1977; 140:34-35; Patten Recognition and Signal Processing. Sijthoff and Noordhoff: Netherlands, 1978; and J. Roy. Statist. Soc. Ser. B 1980; 42:245-292). We consider two specific forms, one self-exciting (i.e. the SETAR model) and the other smooth (i.e. the STAR) model developed by Chan and Tong (J. Time Ser. Anal. 1986; 7:179-190). The problem of maximizing the expected utility of wealth over a planning horizon is considered using a discrete-time dynamic programming approach. This optimization approach is flexible enough to deal with the optimal asset allocation problem under a general stochastic dynamical system, which includes the SETAR model and the STAR model as particular cases. Numerical studies are conducted to demonstrate the practical implementation of the proposed model. We also investigate the impacts of non-linearity in the SETAR and STAR models on the optimal portfolio strategies.

Item Type: Article
Official URL:
Additional Information: © 2012 John Wiley & Sons, Ltd.
Divisions: LSE
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
H Social Sciences > HG Finance
Date Deposited: 16 Mar 2012 15:40
Last Modified: 20 May 2021 01:58

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