The Optimal Investment Strategies For University Endowment Funds Based On Principle Component Analysis

The paper is to establish a feasible evaluating indicator system for university endowment funds based on principle component analysis. According to information provided by the reference index system from nearly 8000 schools were selected, the 16 indicators were proposed and 1340 schools were selected as the alternative school for investment objectives. By using data envelopment analysis (DEA), 30 schools were selected to invest from 1340 schools, and the optimal investment strategies of those 30 schools in the next five years were given. For the non DEA effective decision-making units in data envelopment analysis, T projection transformation in the efficiency frontier were used, which made the point input and output combined to be data envelopment analysis efficiency. The model was applied to the investment for University Endowment Funds, which verified effectiveness and advantage.