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Unformatted text preview: OR&IE 320/520 10/11/07 Prof. Bland Balancing Return and Risk: A Simplified Example of Parametric Programmimg This problem is adapted from Bradley, Hax, and Magnanti. An investor has $5,000,000 and two potential investments. Let x j for j = 1 , 2 denote her allocation to investment j in millions of dollars. From historical data, the expected annual rates of return on investments 1 and 2 have been estimated at 20% and 16%, respectively. Also, we have estimated risk, measured by the variance in total return, of 3 x 1 + 2 x 2 . The investor in interested in both maximizing total return and minimizing risk, but these different objectives are in conflict. She is looking at two different approaches toward gathering information that will aid her in analyzing the return versus risk tradeoff. Approaches 1. In this approach the investor will attempt to combine the two objectives into a single parametric objective function: (return)  (risk), where is a nonnegative parameter that is used to allow for different tradeoffs between return and risk. For equal to zero, risk is ignored and return is max imized. For sufficiently large , the weighted risk overwhelms return, and the investor would invest nothing. You need to ascertain what happens in between those extremes. The investor will then examine the information you provide and make a determination of x 1 and x 2 based on secondary considerations not described here. (a) Use the simplex method parametrically to determine z * ( ) and x * ( ) for all 0. (b) Plot the optimal objective function value, the expected return, and the risk as functions of ....
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This note was uploaded on 03/30/2008 for the course ORIE 320 taught by Professor Bland during the Fall '07 term at Cornell University (Engineering School).
 Fall '07
 BLAND

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