efficiency

In this research, we evaluated performance analysis and ranking of insurance companies listed on the capital market of Iran using data envelopment analysis. In respect of the target the research is applied. The type of research design relying on historical data, is event following and inductive method is inference. The study is consisted of a key question and three sub-questions. This research studies the insurance companies listed on the capital market over a three-year period (2013-2015). Finally, according to the study, data was collected from 9 companies. To document the results of the statistical analysis and providing solutions, using SPSS software, Excel and GE MS we attempted to analyse the questions. At the end, the ranking resulted to the conclusion that the most efficient insurance companies of capital markets, are as follows: Alborz, Dana, Sina, Moalem, Asia, Pasargad, Parsian and Saman. 

The research provides a systematic method for assessing the financial performance of the banks. The analysis is based on a set of benchmarks related to the financial performance of the banks. In this regard, this research has explored a model for evaluating accepted banks in Tehran Stock Exchange using the data envelopment analysis method. The purpose of this research is to apply the research method. Also, the data collection method is a direct observation, interview and library method and a tool for collecting data from stock databases. The statistical population of this study is Tehran Stock Exchange member banks. Selection of inputs and outputs of this research has been done according to similar research. Inputs include public and administrative costs, income and output, including net profit. Also, according to the analysis done by the DEA models, it is selected for performance evaluation. Finally, the unit is either efficient or inefficient, and efficient units with The Anderson and Pearson models were ranked and eventually the Bank of Pasargad and the Gwain Bank ranked.

Given the rapid development of the banking sector, it is reasonable to expect that the performance of banks has become the centre of attention among bank managers, stakeholders, policy makers, and regulators. In order to maximizing the share-holders’ satisfactory level, two bank efficiency measurement approaches, i.e. the production approach and the user cost approach, which are financial evaluations, are employed. The evaluations are done by means of data envelopment analysis method. The proposed methodology is run on the 15 privet bank branches in Markazi province. By using this approach, four regions that show the various performances are obtained. In addition the status of returns to scale for each bank branch is calculated.

One of the most important applications of data envelopment analysis tech-nique is measuring the efficiency of bank branches. Performance measure-ment in the banking industry is important for several groups, including bank managers, customers, investors, and shareholders. The purpose of this study is to examine and design a mixed structure to measure the efficiency of branches of Iranian banks according to their policies. In order to obtain the efficiency of the structure divisions proposed in this study, a slack-based NDEA model was selected to solve its mathematical model. The study sam-ple consists of 31 branches of a large commercial bank in Iran. The ad-vantage of this research to previous studies is that the result will be more realistic considering the inputs and outputs consistent with Iran's banking conditions.

he financial management field has witnessed significant developments in recent years to help decision makers, managers and investors, to made optimal decisions. In this regard, the institutions investment strategies and their evaluation methods continuously change with the rapid transfer of information and access to the fi- nancial data. When information is available as several inputs and output factors, the data envelopment analysis (DEA) applies to calculate the efficiency of com- panies. Distinguishing efficient companies from inefficient ones, makes it possi- ble for the financial managers to select suitable portfolios. The discriminating power of DEA depends on the number of companies under evaluation and the number of inputs and outputs. When the number of inputs and outputs are high compared to the number of units, most of the units will be evaluated as efficient, thus the discriminating power of DEA decreases and the results are not reliable. To deal with this problem, the Quick-Reduct algorithm of the rough set theory (RST) was used in this study to reduce inputs or outputs. It should be noted that the advantage of this algorithm is its ability to use negative data.

Increased government revenues and improved economic efficiency are the main goals of implementing privatization and regime switch in Iran. Information efficiency in the capital market can also be considered as a milestone for increased government revenues and improved economic efficiency. In this study, according to the results of regime switching GARCH models, it is determined that stock returns have had different regimes during the study period (2000-2015). According to the results of the estimation of the three-regime GARCH model, the most important events of the Article 44 of the Constitution in the direction of privatization in Iran's economy and its implementation during the study period have been effective in switching the regimes of the fluctuating process of efficiency. Market risk has also been identified as a factor affecting regime switching in the stock return process, which is due to the behavior of stockholders in low-fluctuation regimes compared to high-fluctuation regimes and liquidity. Also, according to the Kalman filter model, poor performance has been established in Tehran Stock Exchange, which indicates that privatization policy has been effective in improving the efficiency of this marketplace. Using the technique related to the detection of structural failure in the liquidity variable as one of the signs of the stock market depth, the failure of this series was detected by virtue of the implementation of privatization, and it was discovered that privatization increased market liquidity as one of the principles of market development.

One of the most important effective elements in economic growth is the efficiency of manufacturing units. Therefore, measuring the efficiency of firms is necessary in order to increase efficiency in future planning courses. In the current research, using Stochastic Frontier Production Function, the efficiency of firms in Tehran Stock Exchange has been measured. In the above method, the efficient frontier is determined by using the Trans log production function, and the efficiency of each firm measured by the efficient frontier. The most important superiority of Stochastic Frontier Production Function is to specify the role of random and environmental elements (out of firm authorities) and inter-organizational elements (in-firm authorities) to assess the inefficiency of firms as compared to other methods. Thus, 105 firms were selected using maximum likelihood method in 2008-2017 to evaluate the research model. Results indicated that the minerals industry and cement industry with the averages of 53% and 90% had the least and most efficiency values, respectively. Separating the inefficiency values showed that the food industry and chemicals industry had the least and most inefficiency resulting from the firm authorities as 33.6% and 95.2%, respectively. According to research results, financial analysts and investors are recommended to rank the efficiency and assess the performance based on the firm authorities. Due to the importance of efficiency measurement in operational auditing, the auditors are recommended to use the current research model to assess the firm’s efficiency. Also, Organization of Industries and Mines is suggested to tackle the obstacles after identifying the elements out of firm authorities which affect the inefficiency in the firms.

The present study provides a systematic method for assessing the efficiency and soundness of banks. The analysis is based on a set of benchmarks related to the financial performance of banks. In this regard, this research has explored a model for evaluating accepted banks in Tehran Stock Exchange using the data envelopment analysis method. One of the most important applications of this technique is measuring the efficiency of bank branches. In addition, paying special attention to the health of the banking system corresponds to the health of the society’s economics. It is essential to implement precise analysis benchmarks to evaluate banks and other financial institutions due to their importance in the economics. One of these benchmarks is efficiency. In this study, 18 Iranian business banks have been analysed using data envelopment analysis on the basis of financial ratios. Also, their efficiency has been computed using the output-based CCR envelopment model, assuming a constant efficiency-scale ratio. The results suggest that Gardeshgari bank has been selected as the most efficient and healthy bank between 2011 and 2015 on the basis of financial and non-financial criteria, and using the trapezoidal fuzzy number method.

The present paper contributes to the theoretical analysis of the human capital investment and participation decision of heterogeneous workers in the search and matching framework . Its aim is to characterize the equilibrium and to identify the efficiency . Here , the paper studies search equilibrium and matching to consider the participation decision of heterogeneous workers who have different inherent ability levels . The productivity investment decision is endogenous and wages are determined by the Nash bargain among participants. JEL Classifications: J23, J24

This study examines the effect of regulatory policy on efficiency under prudential framework among banks listed in the Iranian Securities and Exchange Organization over the period 2003 to 2015. Arellano-Bond estimation method has been patronized to investigate the effect of regulatory policies on efficiency. Results indicate that regulatory policy indicator indexing reserve requirement on investment deposits has had a positive relationship with the efficiency ratio, Sum of Assets Circulation Ratio (SACR), although it is not meaningful. On the other hand, the legal reserve ratio is positively and meaningfully affecting efficiency in financial institutions. Leverage ratio is negatively and meaningfully affecting the efficiency ratio (SACR) which highlights the point that as the financial institutions heighten their leverage ratio, it will lead to lower sum of asset circulation ratio as the best indicator of efficiency under activity proportions. Higher risk will lead to higher Financial Cost to Net Profit ratio (FCNP) interpreted as lower efficiency in financial institutes. Furthermore, regulatory policy denoted by the legal reserves ratio with one lag interval negatively-significantly influences the financial cost ratio. JEL Classification: C81, E43, E65, G21, G23

Information Management and Analysis (IMA) implies the single data and knowledge base of the business organization whose algorithm and software complex is designed to solve functional problems of operating and dispatch management, marketing, financial arrangements, accounting, strategic planning and organizing e-document flow between the sources and users of information. The “information – communication - control” vector is directed at the achievement of corporate objectives. Assessment of IMA implementation efficiency is complicated by the fact that implementation of managerial (informational) solutions is possible indirectly, with the flows of material, financial and informational resources; the IMA algorithms are valid for a certain range of situations and modes, whose frequency and duration of action are not known in advance. The study is aimed at formalizing compatibility conditions for a set of economic and technical, actual, and probabilistic indicators applied for justifying the IMA implementation efficiency for industrial entrepreneurship. The IMA effectiveness is expected to be calculated as a total of network (communication) effects per each block of IMA algorithms, factored the presentation of information operability; to calculate cost-effectiveness (recoupment of investment) it is supposed to modernize the structural capital evaluation procedure according to A.Puliс. The article contains an introduction, concept of IMA, application of system efficiency theory to IMA, building the structure of IMA efficiency indicators, and conclusion. The main method of study: system approach.

Financial assessment has been of great interest to both academic and practitioners in the past decades. Among several performance assessment approaches, Data Envelopment Analysis (DEA) has become one of the crucial tools that have been commonly adopted to financially evaluate firms in various fields. The main aim of this review article is to review of DEA models in regarding to evaluation of the financial performance. This paper presents the first comprehensive and structured literature review of the use of DEA models for financially assessment. To this end, this paper reviewed and summarized the different models of DEA models that have been applied around the world to development of financial assessment problems. Consequently, a review of 455 published scholarly papers appearing in 160 journals between 1994 and 2021 have been obtained to achieve a comprehensive review of DEA application in financial efficiency. Accordingly, the selected articles have been categorized based on year of publication, authors, nationalities, scope of study, time duration, application area, study purpose, results, outcomes, etc. The discussion and the findings of this paper can be used as a guideline to analysts to determine the best fit financial assessment method when DEA evaluation is applied to any dataset. Future perspectives and challenges are discussed.

A stock exchange is an entity which provides ‘‘trading’’ facilities for stock brokers and traders to trade stocks and other securities. How to invest in stock exchange is one of the important issues in investment, and one of the factors that can help investors in the process of investment is the efficiency of the corporation under consideration. Data envelopment analysis is a mathematical methodology that has been widely applied to assess the performance of banks and financial institutes. The main feature of this method is that this methodology evaluate firms by considering multiple inputs and outputs. Conventional DEA models consider each firms as black box and don’t note into the inner activities. Two-stage data envelopment analysis has been researched by a number of authors that evaluate each firm by considering the inner operations. This paper proposes a new two stage BAM model and further evaluates the banks and financial institutes in Tehran stock exchange by considering the financial ratios. Conventional DEA models consider each firms as black box and don’t note into the inner activities. Two-stage data envelopment analysis has been researched by a number of authors that evaluate each firm by considering the inner operations. This paper proposes a new variant of two stage DEA models and further evaluates the banks and financial institutes in Tehran stock exchange by considering the financial ratios.

INTRODUCTION: Efficiency is one of the basic measures of organizational performance, and in general, refers to the degree or quality of the achievement of the desired goals. This study aimed to investigate the efficiency of Red Crescent population branches in Gilan province and rank them based on the data envelopment analysis model. METHODS: This research was applied in terms of purpose and documentary in terms of implementation. For the purposes of the study, 16 branches of the Red Crescent Society in Gilan province were analyzed with GAMS software (version 24) in 2018. In this research, the input-oriented Banker, Charnes, and Cooper model was used as one of the basic models of data envelopment analysis to measure the relative efficiency of 16 branches of the Red Crescent Society in Gilan province. Afterward, the Anderson-Peterson super-efficiency model was used to rank the efficient units. FINDINGS: Based on the findings, six branches, namely Astara, Rasht, Bandar Anzali, Tallish, Lahijan, and Sowme’eh Sara, had an efficiency score of one. In other words, they were recognized as efficient branches and could provide solutions and models as reference branches for inefficient branches to help them reach the efficiency limit. Afterward, the Anderson-Peterson super-efficiency model was used to rank the efficient units. According to this model, the efficiency scores of the studied units were more than one and the Rasht branch had the highest efficiency. CONCLUSION: The results provide researchers as well as branch managers and staff with suggestions that can help them make better decisions. An important point to keep in mind is that in order to increase the efficiency of a branch, it is necessary to reduce input costs and increase outputs based on reference branches. Due to the fact that this research uses an input-oriented approach, its purpose is to increase the indicators that enhance the efficiency of branches.

In order to evaluate the companies of the cement industry active in the Tehran Stock Exchange (Iran), it is first necessary to identify the indicators of the industry. Note that some of the indicator values provided by the Exchange Organization to the users may have been lost for any reason. All of the existing models for calculating the efficiency of such units calculate the weight of the indicators related to each unit under evaluation independent of the weight of other units. So, in this study, researchers decided to develop a common set of weight models and propose a model that evaluates efficiency in the presence of heterogeneity decision-making units (DMUs) based on the common set of weight models. Finally, the proposed model evaluates 25 cement industry companies in the presence of heterogeneity DMUs of indicators and the results are being analyzed.

Non-governmental organizations as the third pillar and representative of civil society play a main role in socially excluded groups’ access to their citizenship rights including women. The most important aspect of citizenship is social citizenship which has a close relationship with public sphere. It seems that NGOs play a substantial role in facilitating women’s access to their social rights; however, their role, efficiency and effectiveness in realizing this goal are disputed by experts. The purpose of this study is to investigate efficiency of non-governmental organizations in women’s access to their social citizenship rights in Iran. This research has been conducted by a quantitative approach, survey method and questionnaire tool. The questionnaire, consisting of effective factors, was developed by library method and was presented to experts of women study in order to examine its face validity. The data of this study was gathered from three groups including 30 scientific and executive experts, 10 NGO managers and 319 people of NGO’s target population which were selected via stratified sampling. Data analysis rejected hypothesis of high efficiency and great power of NGOs in women’s access to their social citizenship rights in Iran.

The complexity of the competitive business environment has highlighted the need to be aware of the organization's strengths and weaknesses and to continuously improve processes. Therefore, managers are looking for a solution for performance measurement of their organization to be able to promote and improve their organization. Evaluating the performance of listed companies in the stock exchange organization is important because in addition to the managers of the organizations, stock traders can also evaluate the companies and make the necessary decisions about holding, selling or buying the shares of these companies in a timely manner. One of the organization's performance measurement solutions is to use financial ratios. Given that a separate study of financial ratios does not provide a correct view of the efficiency of the organization, so the aggregation of the effect of financial ratios seems to be effective. DEA and MCDM are suitable because they enable the achievement of performance index by considering several factors simultaneously, so the performance obtained from this method is reliable. the main purpose of this study is to ranking pharmaceutical companies in the Tehran Stock Exchange between the years 2018 and 2020 using DEA approach and MCDM to provide a single ranking through the Copeland method.

Financial markets play a key role in economic development, and the insurance industry as a financial institution can be the bedrock of economic growth. Thus, risk and performance appraisal are very important in the insurance industry. There are several methods for evaluate risk and efficiency in financial markets, but since the performance of insurance companies is different from other financial institutions for the risk acceptance of other organizations and individuals, it is necessary to rank factors affecting efficiency and risk in insurance companies separately based on the performance of companies prior to focus on the calculation method. This paper discussed factors affecting the financial risks of insurance companies and efficiency and their rankings using the Delphi qualitative method and collecting expert’s opinions as well as data from domestic and forign papers. The statistical population of the research is experts and specialists in the field of risk and insurance. Spss, Eviews and Excell 2013 were used to review the questionnaires and estimate the results. The results of this paper identified the factors affecting each of the risks of financial wealth, liquidity, credit, operations and efficiency, and in the ranking obtained through Friedman test, efficiency is the highest rank, followed by liquidity, operational and credit risk in the rankings.

Banks play an important role in the growth and development of any economy. A profitable banking system enhances economic stability and efficiency to mitigate the impacts of sudden macroeconomic shocks. To be more efficient and profitable, banks need to recognize the factors underpinning their performance. Accrued liabilities are one of the factors that hinder the profitability of banks. There are several methods to assess banks' profitability with their own pros and cons. Among them, data envelopment analysis (DEA) has been recommended as one of the most common approaches to evaluate different efficiencies including cost efficiency, revenue efficiency, technical efficiency, and finally profitability. The availability of prices/weights of inputs and outputs provides financial managers with significant information for evaluating efficiencies and assists them in decision-making and strategy development processes. This study mainly aims to analyze banks' profitability by considering accrued liabilities resulting from undesirable factors, for which relevant data were collected from 33 branches of a commercial bank in Gilan province, Iran based on managerial and weak disposability. The results illustrated that only three branches were graded one in three dimensions of efficiency, namely technical, cost and revenue, and profitability. Besides, it was suggested that the lack of these efficiencies was not correlated with the branches' profitability.