Appraising the Relationship between Age and Total Assets of Mutual Funds and their Efficiency by Using Data Envelopment Analysis Approach (DEA)

Mutual funds are professional finance institutions which have invested in securities, by investors’ payments, while enjoying the professional management as well as decrease in non-systemic risk. On the other hand, investors require some approaches to evaluate the performance of mutual funds including, data envelopment analysis as a multi-purpose decision making method. Efficient and inefficient companies may be specified by this method, as well as a reference to achieve the efficiency limit for inefficient companies. This research aims to evaluate efficiency of mutual funds by the method of data envelopment analysis. The interval is begun from 2018 until the end of the spring of 2020 and all stock mutual funds form the statistical society. Also 35 mutual funds is a statistical sample. The results show meaningful correlation between obtained efficiency by the method of data envelopment analysis and the real output of mutual funds. So data envelopment analysis is a suitable method to evaluate efficiency of mutual funds. The results indicate that increase in total assets of mutual funds enhance their efficiency. But the age of mutual funds does not affect their efficiency.