Analyze of Accepted Companies in Stock by Using of DEA

Determining a portfolio of investments, is the most important discussion in today investment management. In this regard, some models are presented towards optimal portfolio, that each of which for removing the deficits, are replaced by other models. The most important difficulties of the presented models, include not take into account the indices, multi-measurements in estimating the efficiency of the stock portfolio. In this study, data envelopment analysis is used to removing this problem. Data envelopment analysis,is a non-parametric technique for measuring and estimating the relative effectiveness of series of decision-making departments by multi inputs and outputs. Productive and non-productive companies are identified by using this method and by ranking the non-productive companies, the productive models are represented to bring them into productive area. Also, amount of the effectiveness of every one of the variables in the productivity of companies, are determined, it’s been used of CCR model by input nature and in form of covering. The productive companies are also ranking by use of Andersen-Pitersenmodel. Data gathering is done by infield study and they analyzed by WINQSB software. The results of study indicated that among 96 studied companies, 18th were productive and the rest were non.