heidar foroughnejad Articles List

List of Articles heidar foroughnejad

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1 - An Investigation of Affecting Factors in Bid Ask Spread as a Measure for Information Asymmetry
Heidar Foroughnejad Mohsen Moradijoz

This study examines the effective factors in bid ask spread as a measure for information asymmetry among listed firms in Tehran’s stock exchange. In this study, the effect of share’s liquidity risk variables, market liquidity risk, , market liquidity, number More

This study examines the effective factors in bid ask spread as a measure for information asymmetry among listed firms in Tehran’s stock exchange. In this study, the effect of share’s liquidity risk variables, market liquidity risk, , market liquidity, number of transactions, and trading volume of bid ask spread is investigated. In this line, five hypotheses were suggested. A sample consisting of 107 firms (642 firms-year) among the Listed Firms in Tehran’s Stock Exchange (from 2007 to 2012) were collected and tested through combined data method to test the hypotheses. The results verify the first and second hypotheses in that the number of transactions and trading volume has significant relationship with bid ask spread.  However, no relationship was found to be between liquidity risk, market liquidity risk, and market liquidity with bid ask spread. Manuscript profile
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2 - Earnings Per Share Forecast: the Combination of Artificial Neural Networks and Particle Swarm Optimization Algorithm
Dariush Forougi Heidar Foroughnejad Manochehr Mirzaei

Expectations about earning have significant effects on managers and investors’ decisions. Today, one of the measures that are takenin to consideration as an indicator ofcompanies’profitability is the concept of earningpershare.Also earningper share has major More

Expectations about earning have significant effects on managers and investors’ decisions. Today, one of the measures that are takenin to consideration as an indicator ofcompanies’profitability is the concept of earningpershare.Also earningper share has major effectson stock price of companies. Hence, forecastingearning per shareisof great importance forbothinvestorsandmanagers. The aimof thisstudy is to modelearning pershareforecast of listed companies in Tehran Stock Exchange(TSE) by using the combination ofartificial neural networksand particle swarm optimizationalgorithmbased onunivariate andmultivariate models. To do this,the data of114 companies among the existing listed onesinTehran Stock Exchange was usedduring1380-1389(2001-2010).The results showed that univariate model with 78.5% accuracy and multivariate models with 91.7% accuracy, forecast earning per share. Manuscript profile
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3 - Agent-based modeling in financial markets
Hamidreza Vakili fard Mehdi Khoshnood Heidar Foroughnejad Mohamad Osoolian

After stabilization the two main paradigms of classical and behavioral finance in the second half of the twentieth century some problems s arose about the validity of researches such as Complexity of the behavior of investors , Retrospective data and limiting rules on t More

After stabilization the two main paradigms of classical and behavioral finance in the second half of the twentieth century some problems s arose about the validity of researches such as Complexity of the behavior of investors , Retrospective data and limiting rules on the confidentiality of personal accounts and financial information to investors. This problem creates a new approach in the field of Financial Studies that is Agent – based modeling approach which is based on the concepts of artificial intelligence, simulation, and creating artificial financial market.  In This paper will discuss the agent-based approach and its application in financial markets, most software for the creation of artificial financial markets and the use of agent-based models in the classical and behavioral finance. Based on the results of this research agent-based modeling approach beside of classical and behavioral finance paradigm can increase the accuracy and efficiency of the financial markets researches. Manuscript profile
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4 - Efficiency Evaluation and Rating of registerd brokerage firms of Tehran Stock Exchange Using data envelopment analysis (DEA)
Heidar Foroughnejad Ghader Masoomi Khanegha Manochehr Mirzaei

The main purpose of this study is to evaluate the efficiency and rating of registerd brokerage firms of Tehran Stock Exchange using data envelopment analysis. To do this, the rating data of 87 active brokers in Tehran Stock Exchange that have done for 1390(2012) year b More

The main purpose of this study is to evaluate the efficiency and rating of registerd brokerage firms of Tehran Stock Exchange using data envelopment analysis. To do this, the rating data of 87 active brokers in Tehran Stock Exchange that have done for 1390(2012) year by securities and exchange organization, was used and broker’s efficiency was measured by using DEA-Master software. Also, efficient brokers were rated based on Anderson-Peterson method in two states of input oriented and output oriented. Results showed that, among the 87 brokers, only 44 brokers were efficient. Results also showed, brokers that have top rated by securities and exchange organization, based on data envelopment analysis techniques are not necessarily efficient. In other words, some of low rated brokers by securities and exchange organization were more efficient than top rated brokers by securities and exchange organization. Manuscript profile

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List of Articles heidar foroughnejad