The study aimed at exploring the relationship between efficiency and profitability of private commercial banks operating in Pakistan. The efficiency represented by technical efficiency has been assessed by non-parametric data envelopment analysis approach while profitability indicated by return on assets has been computed through conventional ratio analysis for period 2009 to 2013. The analysis revealed that technical efficiency declined during the study period and remained at 89%. HMB was identified as the top-performing bank in technical efficiency while MCB remained highly profitable. Banks were then grouped based on TE and ROA. MBL, UBL, DIB, SCB, BAH, HBL and HMB observed as top-performing banks based on TE and ROA. These banks are considered a role model for other inefficient and less profitable banks. Whereas, other banks were grouped as weak, based on below-average ROA and TE scores. These banks can adopt distinct product mix or business strategies to become profitable in future.

The aim of the present study is to investigate the efficiency of domestic and foreign commercial banks of Pakistan over the period from the year 2009 to 2013 through the DEA technique (Data envelopment analysis). DEA estimates efficiency by the ratio of inputs (multiple) to outputs (multiple). For this purpose, the number of employees, deposits and fixed assets were used as inputs while Advances and Investments were taken as the outputs based on the intermediation approach. Two generic forms of DEA explicitly CCR and BCC were applied to work out technical and pure-technical efficiencies, respectively. Results offered significant information to make the decision about the efficiency of commercial banks. The study outcomes showed that foreign owned banks performed better against public and private owned banks in respect of all the efficiency measures throughout the period of study.

This paper investigates listed firm efficiency on Pakistan Stock Exchange by using Data Envelopment Analysis (DEA). The reason for application and calculation of the DEA score is to know how much the firms are efficient in utilizing their resources to be converted into output (sales/Net Income). An optimization technique (DEA) that helps calculate efficiencies of firm’s decision making Units (DMU’s) by taking different inputs and outputs variables. This paper uses DEA in measuring efficiency of 136 Pakistani firms listed on Pakistan Stock Exchange (PSX). Using secondary data set of 136 firms for the period 2008-2017, efficiency measurements are calculated by using financial ratios and financial indicators as input and output variables. Results show that some of the firms are efficient in utilizing their available resources in an efficient way to convert it into output, while some are inconsistent in efficiently utilizing their resources (inputs) to get the desired outputs.

This study conducts a regression analysis between the efficiency scores and the explanatory variables. Data was collected for explanatory variables like age of the mutual fund, size of fund family, number of funds in funds family, and volatility (beta). As this study used input oriented model, mutual funds were categorized and relatively evaluated on the basis of similar outcomes and inputs charged. Out of 44 mutual funds understudy, only 7 of the mutual funds were cost efficient. This indicates that nearly 37 of the mutual funds under study have more costs associated to them as compared to the return they are offering to the investors. It has been safely assumed that all the mutual funds, which are below the efficiency frontier, should compare themselves with the industry benchmark efficient mutual funds. In order to make these inefficient mutual funds reach the optimum and higher efficiency score, the fund managers should check every input and determine the slack they can afford to reduce the input without reducing the output generating from it.