List of Articles اوراق بهادار

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  1 - Using web analytics in forecasting the stock price of chemical products group in the stock exchange
  amir daee Omid Mahdi Ebadati E. keyvan borna
  Forecasting markets, including stocks, has been attractive to researchers and investors due to the high volume of transactions and liquidity. The ability to predict the price enables us to achieve higher returns by reducing risk and avoiding financial losses. News plays More

  Forecasting markets, including stocks, has been attractive to researchers and investors due to the high volume of transactions and liquidity. The ability to predict the price enables us to achieve higher returns by reducing risk and avoiding financial losses. News plays an important role in the process of assessing current stock prices. The development of data mining methods, computational intelligence and machine learning algorithms have led to the creation of new models in prediction. The purpose of this study is to store news agencies' news and use text mining methods and support vector machine algorithm to predict the next day's stock price. For this purpose, the news published in 17 news agencies has been stored and categorized using a thematic language in Phoenician. Then, using text mining methods, support vector machine algorithm and different kernels, the stock price forecast of the chemical products group in the stock exchange is predicted. In this study, 300,000 news items in political and economic categories and stock prices of 25 selected companies in the period from November to March 1997 in 122 trading days have been used. The results show that with the support vector machine model with linear kernel, prices can be predicted by an average of 83%. Using nonlinear kernels and the quadratic equation of the support vector machine, the prediction accuracy increases by an average of 85% and other kernels show poorer results. ارسال Manuscript profile
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  2 - “With-profits” Bonds as Modern Islamic Financial Instruments versus Lease Bonds
  Azam  Lashkari Yousefi
  Abstract: With-profits bond is one of the modern financial instruments in Islamic system of finance. The issuer of these bonds will be able to offer benefits or future services to the holders of the bonds while maintaining the original durable property. Therefore, the h More

  Abstract: With-profits bond is one of the modern financial instruments in Islamic system of finance. The issuer of these bonds will be able to offer benefits or future services to the holders of the bonds while maintaining the original durable property. Therefore, the holders of these bonds will be able to present the benefits and future services with ease of mind upon accumulation of small capitals to expand this business. On the other hand, the holders of these bonds will enjoy future benefits and services upon a purposeful program and with cheaper prices. They will be also able to transfer their rights in financial markets. Lease bond is another Islamic financial instrument, the holders of which share the joint ownership of the property as is. The resulting benefit is thus distributed according to the lease contract among the issuers or owners of the bonds. Due to some similarities in these two types of bonds, some have mistakenly hypothesized that lease bonds shall cover the advantages of with-profits bonds. This paper has resorted to library research method to review the nature and structure of with-profits bonds to highlight the need for issuing these bonds in comparison with the lease bonds. Manuscript profile
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  3 - Designing an optimal model for the development of risky investments in the Tehran Stock Exchange using grand theory and fuzzy AHP
  Asgar Najafiahmadabad Sirus Fakhimiazar Seyyed Ali Paytakhti oskuyi Nasser Fegh-hi Farahmand
  The purpose of this study was to design an optimal model for the development of risky investment in the Tehran Stock Exchange using the fuzzy AHP grand theory method and the research method was a combination of qualitative and quantitative.In the first stage,using the g More

  The purpose of this study was to design an optimal model for the development of risky investment in the Tehran Stock Exchange using the fuzzy AHP grand theory method and the research method was a combination of qualitative and quantitative.In the first stage,using the grand qualitative theory approach,the paradigm model of the research including causal conditions,intervening conditions,background conditions, strategies, consequences and the central category of risky investment are extracted and the data collection tool is in the qualitative part of the interview 20 experts have been selected for the interview.In the quantitative stage, each of the extractive categories was reviewed and verified using confirmatory factor analysis, and the data collection tool in this section was a researcher-made questionnaire that was designed based on the concepts extracted from the qualitative section. After determining the validity and reliability, this questionnaire was distributed among the members of the statistical sample and the statistical population of the quantitative section included the managers of listed companiesThe sample size was determined based on the recommendations of the confirmation models of 210 people.The results of the qualitative section show 67concepts in the form of 15subcategories and six main categories in order to develop risky investment.The results of the quantitative part also showed that each of the main and subcategories extracted from research experts can be generalized to the managers of listed companies.Paired comparison tables were performed and theweight of the components was obtainedby the modified methodof Sami et al(2009) and the categories were prioritized based on them Manuscript profile
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  4 - 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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  5 - 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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  6 - 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
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  7 - طراحی مدل توسعه سرمایه¬گذاری ریسک پذیر در بورس اوراق بهادار تهران با استفاده ازروش گراندیدتئوری وAHP فازی
  ناصر  فقهی فرهمند
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