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Tracking a Financial Benchmark Using a Few Assets

Department of Industrial Engineering and Operations Research, Columbia University, New York, New York 10027
Department of Systems Engineering and Engineering Management, Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
Department of Systems Engineering and Engineering Management, Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
yao{at}columbia.edu
zhang{at}se.cuhk.edu.hk
xyzhou{at}se.cuhk.edu.hk

We study the problem of tracking a financial benchmark—a continuously compounded growth rate or a stock market index—by dynamically managing a portfolio consisting of a small number of traded stocks in the market. In either case, we formulate the tracking problem as an instance of the stochastic linear quadratic control (SLQ), involving indefinite cost matrices. As the SLQ formulation involves a discounted objective over an infinite horizon, we first address the issue of stabilizability. We then use semidefinite programming (SDP) as a computational tool to generate the optimal feedback control. We present numerical examples involving stocks traded at the Hong Kong and New York Stock Exchanges to illustrate the various features of the model and its performance.

Subject classifications: steady growth-rate tracking; stock-index tracking; stochastic linear quadratic control; semidefinite programming; stabilizability.
History: Received July 2003; revision received August 2004; accepted January 2005.