List of Articles بورس اوراق بهادار تهران

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  1 - Comparison of Traditional DEA Approaches to Portfolio Selection by a New Proposed Algorithm with a Case Study of Stock Selection in Tehran Stock Exchange
   
  Abstract Portfolio selection is one of the most important areas in financial decision-making; A portfolio of stocks that could bring the highest rate of return and the lowest risk investment for its owner simultaneously. However in choosing the most prefered portfolio More

  Abstract Portfolio selection is one of the most important areas in financial decision-making; A portfolio of stocks that could bring the highest rate of return and the lowest risk investment for its owner simultaneously. However in choosing the most prefered portfolio just these factors are not decisive and according to the economic environment, many factors can affect this process which should be employed. Therefore, these diversity of factors, bring to the limelight the importance of multi-criteria decision-making approaches. Data Envelopment Analysis (DEA) is one of this approaches. The main purpose of this paper is comparing the traditional DEA approaches to a new proposed algorithm. In traditional approaches simply assumed that return to scale is constant or variable. This simplification may cause large errors. In the new algorithm by analyzing the behavior of return to scale, appropriate model will be used. As a case study, the models have been solved with real data belonging to Tehran stock exchange and the results have been analyzed. Manuscript profile
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  2 - Developing a hybrid model to clustering Tehran Stock Exchange companies using meta-heuristic algorithms
    Ali Mohaghar
  Investment decision, have always has been one of the most important issues. Investors are trying to achieve the highest efficiency and the least risk by selecting the best companies from Among a wide variety of companies considering to various financial indicators. Acco More

  Investment decision, have always has been one of the most important issues. Investors are trying to achieve the highest efficiency and the least risk by selecting the best companies from Among a wide variety of companies considering to various financial indicators. Accordingly, today, there are many ways to analyze the data from this company. One of the ways is clustering that classification of the companies. However, the present study aimed to identify and distinguish successful from unsuccessful companies in Tehran Stock Exchange has been done using K-means clustering. Then this problem is solved using meta-heuristic algorithms. The results indicate that meta-heuristic algorithms compared with conventional methods, more efficient and have led to a global optimum. Also these results of Altman’s bankruptcy model were confirmed results of meta-heuristic algorithms. Manuscript profile
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  3 - Study of selected macroeconomic variables from the perspective of moral hazard and financial constraints on return and capital structure in listed companies
  Masoumeh  Ebrahimi hosein panahian Hassan  Ghodrati mohsen rasolian
  The purpose of this paper is to examine the selected macroeconomic variables from the perspective of moral hazard and financial constraints on the return and capital structure in listed companies in addition to macroeconomic variables, the present study seeks to investi More

  The purpose of this paper is to examine the selected macroeconomic variables from the perspective of moral hazard and financial constraints on the return and capital structure in listed companies in addition to macroeconomic variables, the present study seeks to investigate and explain ethical risks and inappropriate choices in the capital market and the role of ethics in reducing it. This research is qualitative / quantitative. A number of stock exchange experts have been selected as sample respondents to the interview questions, and among the issues that determine the direction of this research and interview questions, the literature on selected macroeconomic variables, financial constraints and its effect on returns and capital structure and actors. Companies listed on the Tehran Stock Exchange. To analyze the opinions of experts, first from the grounded theory method to identify indicators, from the fuzzy Delphi method and structural equations to evaluate selected macroeconomic variables, financial constraints and its effect on return and capital structure and capital companies and activists listed on the Tehran Stock Exchange The fuzzy dimtel method was used to prioritize the indicators and monitor the factors, and the structural equations were used to examine the relationships between the variables. In the research, we also intend to show that following ethical principles and developing ethical guidelines and creating a culture for the governance of ethical values can be very effective in reducing the risks of financial markets and creating transparency, reducing the cost of supervision and enforcing laws. Also guarantee. Findings showed that financial constraints affect the severity of the impact of economic output gap on capital structure, stock returns, company size and moral hazard on stock returns. Manuscript profile