Optimal Smoothing Rules for University Financial Planning

William F. Massy, Richard C. Grinold, David S. P. Hopkins and Alejandro Gerson
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William F. Massy: Stanford University, Stanford, California
Richard C. Grinold: The University of California at Berkeley, California
David S. P. Hopkins: Stanford University, Stanford, California
Alejandro Gerson: Stanford University, Stanford, California

Operations Research, 1981, vol. 29, issue 6, 1121-1136

Abstract: The determination of each year's endowment payout, total spending, and transfers to or from reserves is set up as an optimal smoothing rule problem. Stochastic laws of motion are formulated for total spending, operating income, changes in the balances for endowment and operating reserves, and the acquisition of new gifts to endowment. Parameters of the smoothing rules are obtained by making subjective tradeoffs among objectives such as the means and meansquare deviations of budget quantities and the probabilities that these quantities will exceed certain control limits. The model currently is being used to determine the endowment payout rate for Stanford University.

Keywords: 119 optimal smoothing rules for university financial planning; 142 optimal control for planning endowment payout and budgets; 194 optimal control for spending endowment investment return (search for similar items in EconPapers)
Date: 1981
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