Evaluating Efficiency and Relative Performance of Firms by Data Envelopment Analysis Approach for Making Portfolio

Abstract

Abstract Determining efficiency of an institution and comparison with other institutions can help the stockholders to achieve their investment goals. The purpose of this study is formation of portfolio from efficient firms, using data envelopment analysis approach for earning return more than the market average return. In this study, the input oriented and output oriented models were applied to the conditions regarding constant return scale (CCR) and variable return scale (BCC). Also, in this study the hypothesis that portfolios composed of small companies have better performance than the industry average was examined. The results show that, using CCR method, return more than the market average return cannot be gained, but, using BCC method, return more than the market average could be gained. In addition, comparing the results from portfolios, using size measure, showed that portfolios composed of small firms gained return more than the market average return and created appropriate performance. In this study to measure the performance of portfolios, William Sharp criteria were used.

Keywords

• data envelopment analysis (dea)
• return to scale
• efficient portfolio
• size effect