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Journal articles on the topic 'Tehran stock Index'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Mehrara, Mohsen. "Return Predictability of Stock Price Index in Tehran Stock Exchange." International Letters of Social and Humanistic Sciences 9 (September 2013): 59–64. http://dx.doi.org/10.18052/www.scipress.com/ilshs.9.59.

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The question of whether asset price changes are predictable has long been the subject of many studies. Many studies, using historical returns based on random walk tests, have shown that stock return is not predictable. We study return predictability of the Tehran Exchange Price Index (TEPIX) based on monthly data from 2000 to 2011. For forecasting the return, we used a recursive estimation method in which the parameter estimates were updated recursively in light of new weekly observations, and also its regressors were changed recursively according to the Schwarz Bayesian Criterion. The results

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2

Mehrara, Mohsen, Yazdan Gudarzi Farahani, Farzan Faninam, and Abbas Rezazadeh Karsalari. "The Effect of Macroeconomic Variables on the Stock Market Index of the Tehran Stock Exchange." International Letters of Social and Humanistic Sciences 71 (July 2016): 17–24. http://dx.doi.org/10.18052/www.scipress.com/ilshs.71.17.

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This paper examines the relationship between stock market index and macroeconomic policies (Fiscal and Monetary) on Iran's economy using quarterly data in the period 1999-2013. This study employed cointegration test and vector autoregressive models (VAR) to examine relationships between the stock market index and the macroeconomic variables. The empirical results reveal that a positive money shock can increase stocks return. According to impulse responses, the government expenditure had a slight impact on stocks return in the short term. But the government expenditure has a positive effect on

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3

Jing, Dongmei, Mohsen Imeni, Seyyed Ahmad Edalatpanah, Alhanouf Alburaikan, and Hamiden Abd El-Wahed Khalifa. "Optimal Selection of Stock Portfolios Using Multi-Criteria Decision-Making Methods." Mathematics 11, no. 2 (2023): 415. http://dx.doi.org/10.3390/math11020415.

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In the past, investors used their own or others’ experiences to achieve their goals. With the development of financial management, investors’ choices became more scientific. They could select the optimal choice by using different models and combining the results with their experiences. In portfolio optimization, the main issue is the optimal selection of the assets and securities that can be provided with a certain amount of capital. In the present study, the problem of optimization, i.e., maximizing stock portfolio returns and minimizing risk, has been studied. Therefore, this study discussed

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4

Abdollahzade, H., and A. Safari. "Predicting the price index of Tehran Stock Exchange." HOLOS 4 (September 19, 2017): 371. http://dx.doi.org/10.15628/holos.2017.6062.

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5

Shamsoddini, Mostafa, Mohammad N. Shahiki Tash, and Farhad Khodadad-Kashi. "Measuring Information Asymmetry in Large Active Firms on the Tehran Stock Exchange." Scientific Annals of Economics and Business 63, no. 3 (2016): 333–46. http://dx.doi.org/10.1515/saeb-2016-0126.

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In financial markets, transparency of financial information is one of the most effective variables of investment strategies. Information asymmetry can seriously affect firm performance on the stock exchange and firms with a poor informational environment can lose the interest of investors. Reducing information asymmetry can have an important effect on firm performance on the stock exchange. Firms may lack a clear informational environment in the market because of the emerging conditions governing the Tehran Stock Exchange. Because larger and more active firms on the Tehran Stock Exchange provi

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6

Pooya, Sabetfar. "The Relationship between Asset Growth and Stock Returns In Different Size of Portfolios in Tehran Stock Exchange." Multicultural Education 8, no. 2 (2022): 92. https://doi.org/10.5281/zenodo.5998326.

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<em>In the present study, we tried to investigate the relationship between the investment effect and stock returns in Tehran Stock Exchange. The index information of 174 companies was collectedduring the period of 2009 to 2020. These 174 companies were divided into four very large, large, small and very smallportfolios. The results showed that there is no relationship between asset growth and stock returns in the Tehran Stock Exchange in very large and small companies. But in large and small companies, the main hypothesis of the research is confirmed. According to the results, there is no rela

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7

MADANI, Seyyed Amir Mousavi. "THE EFFECT OF CORPORATE GOVERNANCE ON THE FINANCIAL PERFORMANCE OF COMPANIES LISTED ON THE TEHRAN STOCK EXCHANGE." Management & Marketing 20, no. 1 (2022): 101–18. http://dx.doi.org/10.52846/mnmk.20.1.08.

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The present study investigated the effect of corporate governance on the financial performance of companies listed on the Tehran Stock Exchange. In this study, the duality of CEO duties and financial performance were considered as corporate governance mechanisms. Indicators like return on assets, return on equity and net operating profit after tax have been used to measure financial performance. The studied period was 2013 to 2017 and samples were member companies of Tehran Stock Exchange. The findings revealed that corporate governance and financial performance of companies listed on the Tehr

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8

Hadipour, Hassan, Ali Paytakhti Oskooe, and Kamaleddin Rahmani. "Factors Affecting the Instability Index in Tehran Stock Exchange." Journal of Planning and Budgeting 26, no. 3 (2021): 131–54. http://dx.doi.org/10.52547/jpbud.26.3.131.

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9

Fayyazi, Hadi, Mohammad Esmaeil Fadaei Nejad, and Farzin Rezaei. "Relationship between Investors Sentiment Index with Stock Returns in Tehran Stock Exchange (TSE)." Asian Journal of Research in Banking and Finance 4, no. 12 (2014): 170. http://dx.doi.org/10.5958/2249-7323.2014.01463.1.

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10

Ghanbari, Hossein, Amir Mohammad Larni Fooeik, Amirhossein Eskorouchi, and Emran Mohammadi. "Investigating the effect of US dollar, gold and oil prices on the stock market." Journal of Future Sustainability 2, no. 3 (2022): 97–104. http://dx.doi.org/10.5267/j.jfs.2022.9.009.

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The capital market, as one of the main components of the financial markets, plays an important role in the economic development of countries. As financial markets become more globalized through the free flow of capital and international trade, price fluctuations in financial assets also affect other assets and markets. Due to the high impact of foreign exchange, gold, and oil markets on other financial markets, this study examined the impact of these markets on the Tehran Stock Exchange market from April 2015 to March 2021. In this regard, US dollar, ounces of gold, and crude oil are used as i

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11

Tazik, Ali, Fatemeh Tazik, Athar Tazik, and Amir Hassan Susaraie. "Evaluation of the Relationship between Macroeconomic Variables and Industrial Price Index in Tehran Stock Exchange." Journal of Management and Accounting Studies 8, no. 2 (2020): 31–38. http://dx.doi.org/10.24200/jmas.vol8iss2pp31-38.

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Objective: This study investigates the separate relationships between three macroeconomic variables—the consumer price index, oil prices, and foreign exchange rates—and the consolidated price movements of a 28-industry index of stocks listed on the Tehran Stock Exchange during 2010–2014. Methodology: We hypothesize a significant and direct relation between each macro variable and price movements of the 28-industry index. To test our hypotheses, we use econometric methods that include ordinary least squares (OLS), linear regression, the Dickey–Fuller test, the Phillips–Perron unit root test, th

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12

Fayyazi, Hadi, and Rasoul Goshtasbi Maharlouei. "RELATIONSHIP BETWEEN INVESTORS SENTIMENT INDEX WITH FIRST AND SECOND MARKET INDEXES IN TEHRAN STOCK EXCHANGE (TSE)." Ciência e Natura 37 (September 14, 2015): 16. http://dx.doi.org/10.5902/2179460x19424.

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http://dx.doi.org/10.5902/2179460X19424The process of being affected of the investors in decision making from their sentiment has been considered in many recent researches in the field of the financial assets pricing. Some authors suggest that shifts in investor sentiment may in some instances better explain shortterm movement in asset prices than any other set of fundamental factors. The present study tries to investigate the relation between the investors sentiment index and First and Second Market Indexes in Tehran Stock Exchange Market. This paper, an index was used in order to measure the

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13

Arash Salehpour and Elaheh Salehpour. "A Regression Analysis on the Car Index in the Tehran Stock Exchange." December 2022 4, no. 4 (2022): 238–51. http://dx.doi.org/10.36548/jscp.2022.4.003.

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One of the best ways to make money on the capital market is to buy shares on the stock exchange. The stock market has a nonlinear and chaotic system that is influenced by political, economic, and psychological conditions, and systems such as regression can be used to predict stock prices. In this research, different regression models are used, each of which measures information in a different way and tests the ability to predict the behaviour of index prices with this information. This paper examines linear regression, robust regression, ridge regression, polynomial regression, and elastic net

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14

Salehpour, Arash. "Predicting Automobile Stock Prices Index in the Tehran Stock Exchange Using Machine Learning Models." International Journal of Intelligent Systems and Applications 15, no. 5 (2023): 12–17. http://dx.doi.org/10.5815/ijisa.2023.05.02.

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This paper analyses the performance of machine learning models in forecasting the Tehran Stock Exchange's automobile index. Historical daily data from 2018-2022 was pre-processed and used to train Linear Regression (LR), Support Vector Regression (SVR), and Random Forest (RF) models. The models were evaluated on mean absolute error, mean squared error, root mean squared error and R2 score metrics. The results indicate that LR and SVR outperformed RF in predicting automobile stock prices, with LR achieving the lowest error scores. This demonstrates the capability of machine learning techniques

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15

Mousazadeh Abbassi, Noraddin, Mohammad Ali Aghaei, and Mahdi Moradzadeh Fard. "An integrated system based on fuzzy genetic algorithm and neural networks for stock price forecasting." International Journal of Quality & Reliability Management 31, no. 3 (2014): 281–92. http://dx.doi.org/10.1108/ijqrm-06-2012-0085.

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Purpose – The aim of this research is to predict the total stock market index of the Tehran Stock Exchange, using the compound method of fuzzy genetics and neural network, in order for the active participants of the finance market as well as macro decision makers to be able to predict the market trend. Design/methodology/approach – First, the prediction was done by neural network, then the output weight of optimum neural network was taken as standard to repeat this prediction using the genetic algorithm, and then the extracted pattern from the neural network was stated through discernible rule

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16

Sayyadi Tooranloo, Hossein, Pedram Azizi, and Ali Sayyahpoor. "Analyzing causal relationships of effective factors on the decision making of individual investors to purchase shares." International Journal of Ethics and Systems 36, no. 1 (2019): 12–41. http://dx.doi.org/10.1108/ijoes-03-2019-0053.

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Purpose Changes in economic markets have made it necessary to understand the psychology of individual investors. Conducting effective studies on the decision of investors to buy stock in the stock market can be useful. Therefore, it is necessary to identify and prioritize the factors affecting the decision-making of investors to purchase shares of the stock exchange. The purpose of this study was to analyze causal relationships and to weight effective factors on individual investment to purchase shares of Tehran Stock Exchange. Design/methodology/approach The present study is applied research

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17

Raoofi, Ali, Amir Hossein Montazer Hojjat, and Pouyan Kiani. "Comparison of several combined methods for forecasting Tehran stock exchange index." International Journal of Business Forecasting and Marketing Intelligence 2, no. 4 (2016): 315. http://dx.doi.org/10.1504/ijbfmi.2016.080128.

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Raoofi, Ali, Amir Hossein Montazer Hojjat, and Pouyan Kiani. "Comparison of several combined methods for forecasting Tehran stock exchange index." International Journal of Business Forecasting and Marketing Intelligence 2, no. 4 (2016): 315. http://dx.doi.org/10.1504/ijbfmi.2016.10000962.

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19

Baghyani, Zohreh, Darush Farid, and Seyed Yahya Abtahi. "Check the spread of price fluctuations in the gold index with stock price index stock exchange." Journal of Management and Accounting Studies 3, no. 01 (2019): 47–52. http://dx.doi.org/10.24200/jmas.vol3iss01pp47-52.

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Presence of the efficient financial markets and institutes is considered as one of the characteristics of the developed countries which play an important role in the economy of these countries and straighten the economic growth and development of these countries. Tehran stock exchange is able to accelerate movement toward growth and development as the most main pillar of the capital market in the country meanwhile equipping and injecting the stagnant savings in the country and leading them into production. Methodology: Since the value of the present shares in the stock exchange is affecting by

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20

Salehpour, Arash, and Karim Samadzaminix. "Machine learning based Comprehensive Study for Stock Market Prediction of Pharmaceutical Industry Index on Covid 19." June 2023 5, no. 2 (2023): 168–89. http://dx.doi.org/10.36548/jaicn.2023.2.007.

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This research examines how COVID-19 vaccinations impact the accuracy of machine-learning models in forecasting the Tehran Stock Exchange's Pharmaceutical Companies Index. The study analyses daily vaccination and stock data during the pandemic using statistical and linear regression models. Results reveal a negative correlation between vaccinations and the stock index. Two regression models were developed, one with vaccination data and one without. Although both models fit the training data well, the latter performed significantly better on the test set with lower errors. This suggests that vac

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21

Qezelbash, Mohammad, Saeid Tajdini, Mohsen Mehrara, and Majid Lotfi Ghahroud. "Industry Index Performance in Tehran Stock Exchange and Fluctuations of Dollar Rates." Journal of Money and Economy 18, no. 60 (2023): 331–47. https://doi.org/10.61186/jme.18.60.331.

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22

Tahernezhad, Fatemeh, Amir Abbas Najafi, and Hossein Mohseni. "Market Timing by Considering the Investor Sentiment Index in Tehran Stock Exchange." Journal of Financial Managment Perspective 12, no. 37 (2022): 175–204. http://dx.doi.org/10.52547/jfmp.12.37.175.

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23

Shams, Shahabeddin, and Fatemeh Rezvani. "Performance measurement of investment companies with loss aversion in Tehran Stock Exchange." Risk Governance and Control: Financial Markets and Institutions 5, no. 3 (2015): 81–87. http://dx.doi.org/10.22495/rgcv5i3art7.

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This study measures the portfolio performance of listed investment companies in Tehran Stock Exchange (TSE) based on prospect theory. The criterion is measured by the ratio of gain to loss, to reflect risk-aversion in gains and risk-seeking in losses. The sample consists of 15 listed investment companies registered in TSE during 2003-2013. Research variables consist of portfolio return, market return, risk-free return, systematic risk, Treynor and Loss Aversion index. Hypotheses have been tested with Spearman correlation coefficient. The results show that Loss Aversion can be used as a new ind

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24

Abbasi, Behjat, and Mohammad Hamed Khan Mohammadi. "Effect of strategic management accounting techniques on market share changes in firms in Tehran Stock Exchange market." Problems and Perspectives in Management 14, no. 3 (2016): 325–31. http://dx.doi.org/10.21511/ppm.14(3-si).2016.04.

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Increasing market share is one of the main challenges of organizations nowadays, in order to guarantee profitability and survival of the organization. Market share index in an indicator of success/failure. The aim of the present study is to investigate the effect of strategic management accounting techniques effect on market share changes in Tehran stock market companies. This is a descriptive research in which information are in collected via secondary data and inspecting financial statements. The purpose is to investigate the relationship between variables of the study and then find their co

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25

Rahimi, Ebrahim, Ahmad Mohammadi, Ali Asghar Motaghi, and Seyyed Ali Paytakhti Oskooe. "A Model for Estimating Stock Market Shocks Using the ARMA-GARCH Approach." International Journal of Innovation Management and Organizational Behavior 3, no. 5 (2023): 181–86. http://dx.doi.org/10.61838/kman.ijimob.3.5.21.

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Objective: Linear ARMA and GARCH models have numerous applications in the field of time series forecasting. The primary objective of this article is to present a model for estimating stock market shocks based on the ARMA-GARCH model in the Tehran Stock Exchange. Methodology: For this purpose, 15-minute intraday data of the overall index and the equal-weighted index for the period from June 10, 2018, to March 18, 2019, including the opening, closing, highest, and lowest values of the mentioned indices, were used. For the analysis and fitting of the models to estimate market shocks, the Pandas,

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26

Mohebbi, Somayeh, Mohamad Esmaeil Fadaeinejad, and Mohammad reza Hamidizadeh. "The Proposed Algorithm to Select Appropriate Features for Predicting Tehran Stock Exchange Index." Journal of Financial Management Perspective 11, no. 34 (2021): 35–67. http://dx.doi.org/10.52547/jfmp.11.34.35.

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27

Mohebbi, Somayeh, Mohamad Esmaeil Fadaeinejad, and Mohammad reza Hamidizadeh. "The Proposed Algorithm to Select Appropriate Features for Predicting Tehran Stock Exchange Index." Journal of Financial Management Perspective 11, no. 34 (2021): 35–67. http://dx.doi.org/10.52547/jfmp.11.34.35.

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Sheikh, Mohammad javad, Mohsen Nazem Bokaei, Hadi Alijani, Mohammad Saadatmand, Sayed Mojtaba Hosseini Fard, and Ismaeil Chezani Sharahi. "INVESTIGATING RELATIONSHIP BETWEEN CONSUMER PRICE INDEX AND PRODUCER PRICE INDEX AND DIVIDEND PER SHARE." Australian Journal of Business and Management Research 01, no. 07 (2012): 121–28. http://dx.doi.org/10.52283/nswrca.ajbmr.20110107a13.

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Managers of economic institutions should possess some criteria in the stock exchange so that they can evaluate their performance and economic plans. Criteria for performance evaluation accounting can be used for evaluating performance and economic plans. One of the main criteria for performance evaluation accounting is reported accounting profit or dividends. This criterion is one of the main indexes for evaluating managers’ performance, and it is also a main criterion for decision-making on approval or rejection of economic plans. This index is influenced by different factors such as price in

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Baghyani, Zohreh, Darush Farid, and Seyed Yahya Abtahi. "Check contagion of price fluctuations in the index of currency and oil with the index of stock prices in the Stock Exchange." Journal of Management and Accounting Studies 3, no. 01 (2019): 61–66. http://dx.doi.org/10.24200/jmas.vol3iss01pp61-66.

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Presence of the efficient financial markets and institutes is considered as one of the characteristics of the developed countries which play an important role in the economy of these countries and straighten the economic growth and development of these countries. Tehran stock exchange is able to accelerate movement toward growth and development as the most main pillar of the capital market in the country meanwhile equipping and injecting the stagnant savings in the country and leading them into production. Methodology: Since the value of the present shares in the stock exchange is affecting by

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Salehi, Mahdi, Mostafa Karimzadeh, and Navid Paydarmanesh. "The impact of Iran Central Bank’s sanction on Tehran Stock Exchange." International Journal of Law and Management 59, no. 3 (2017): 365–75. http://dx.doi.org/10.1108/ijlma-12-2015-0062.

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Purpose US sanctions have been a major feature of US Iran policy since Iran’s 1979 Islamic revolution, but the imposition of UN and worldwide bilateral sanctions on Iran that began in 2006 and increased dramatically as of 2010 is recent by comparison. The objectives of US sanctions have evolved over time. Broad international sanctions imposed on Iran harmed Iran’s economy and contributed to Iran’s acceptance of agreements that exchange constraints on its nuclear program for sanctions relief. The subject of this study is important because both Iran and the international communities are demandin

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Imeni, Mohsen, Zongke Bao, and Victoria Nozick. "Multiscale Partial Correlation Analysis of Tehran Stock Market Indices: Clustering and Inter-Index Relationships." Journal of Operational and Strategic Analytics 2, no. 1 (2024): 1–10. http://dx.doi.org/10.56578/josa020101.

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BOLGORIAN, MEYSAM, A. H. SHIRAZI, and G. R. JAFARI. "PORTFOLIO SELECTION USING LEVEL CROSSING ANALYSIS." International Journal of Modern Physics C 22, no. 08 (2011): 841–48. http://dx.doi.org/10.1142/s0129183111016646.

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Asset allocation is one of the most important and also challenging issues in finance. In this paper using level crossing analysis we introduce a new approach for portfolio selection. We introduce a portfolio index that is obtained based on minimizing the waiting time to receive known return and risk values. By the waiting time, we mean time that a special level is observed in average. The advantage of this approach is that the investors are able to set their goals based on gaining return and knowing the average waiting time and risk value at the same time. As an example we use our model for fo

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Moghadasi, Mansour, Alireza Ghiasvand, and Farid Sefati. "Identification and Ranking of Financial, Non-Financial, and Behavioral Components Influencing Earnings Response Coefficient in the Iranian Capital Market (Data Mining Approach)." International Journal of Innovation Management and Organizational Behavior 4, no. 4 (2024): 121–29. http://dx.doi.org/10.61838/kman.ijimob.4.4.14.

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Objective: The relationship between accounting profit and investor reactions, as well as stock price changes, is measured using the Earnings Response Coefficient (ERC). Previous research indicates a variation in ERC between companies and over time, which is attributed to specific company factors and characteristics. The aim of this study is to identify and rank the financial, non-financial, and behavioral components affecting companies' ERC. Methodology: Using data from 153 companies listed on the Tehran Stock Exchange over the period 2013 to 2022, and employing data mining techniques and two

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Nazari, Ali Akbar, and Mohammad Taher Ahmadi Shadmehri. "Examining the Relationship between Economic Variables and Financial Performance of the Companies in Tehran Stock Exchange." International Business Research 9, no. 7 (2016): 188. http://dx.doi.org/10.5539/ibr.v9n7p188.

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<p>This study aims to identify long-term financial performance of the companies in Tehran Stock Exchange and some economic variables like inflation rate, liquidity growth rate, exchange rate, and oil income. In this study, data was analyzed in a quarterly form from 2005-2013 using self-regression with distributional lags. Results of co-integration test showed a long-term correlation between economic variables and growth rate of cash return index. The long-term correlation between growth rate of cash return index and oil return and exchange rate was negative while the correlation between

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Tabatabaei, seyed jalal. "Managerial confidence and Economic sentiments Index design for listed company's managers of Tehran Stock Exchange." Journal of Financial Managment Perspective 11, no. 33 (2021): 245–72. http://dx.doi.org/10.52547/jfmp.11.33.245.

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Avazzadeh, Elahe. "The Effect of Corporate Governance Components on Dividend and Financing Policies." Journal of Management and Accounting Studies 3, no. 02 (2019): 13–20. http://dx.doi.org/10.24200/jmas.vol3iss02pp13-20.

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The Purpose of This Study is to Investigate the Impact of Characteristics of Corporate Governance on Financing and Dividends Policies. In Firms Listed in Tehran Stock Exchange. Methodology: to Measure the Characteristics of Corporate Governance, There Components of the Ratio of Non-executive Directors, Shareholder Ownership Concentration, and Board of Directors` Size Have Been used, Also in This Study, the Index of Quantifying the Policies of Financial and Dividends Ratio, Respectively to Test Nine Hypotheses of the Study .Data on 115 Firms Listed in Tehran Stock Exchange Have Been Analyzed as

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Shirvani, Abootaleb, and Dimitri Volchenkov. "A Regulated Market Under Sanctions: On Tail Dependence Between Oil, Gold, and Tehran Stock Exchange Index." Journal of Vibration Testing and System Dynamics 3, no. 3 (2019): 297–311. http://dx.doi.org/10.5890/jvtsd.2019.09.004.

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Aryannejad, Abbas. "Effects Real Earnings Management and Liquidity Leverage Relation Analysis Case study: accepted plants into Tehran stock exchange." Journal of Management and Accounting Studies 2, no. 03 (2019): 10–14. http://dx.doi.org/10.24200/jmas.vol2iss03pp10-14.

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The main purpose of the present research is to investigate the relationship between liquidity leverage and real earnings management of the accepted plants into Tehran stock exchange in 2014. Through determination the concept of creation steps or liquidity leverage expansion as well as real earnings management, this paper is going to describe how this kind of thought is created in accepted plants. Methodology: Having explained its effective factors, they are analyzed and classified and finally combining various presented models and theories, they are analyzed by specialists. In this research 91

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Parsaei, Mona, Davood Askarany, Mahtab Maleki, and Ali Rahmani. "Risk Management in Product Diversification: The Role of Managerial Overconfidence in Cost Stickiness—Evidence from Iran." Risks 12, no. 10 (2024): 150. http://dx.doi.org/10.3390/risks12100150.

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Purpose: This study investigates the relationship between product diversification strategy and cost stickiness, focusing on managerial overconfidence as a moderating factor. It aims to address a critical gap in the literature by providing empirical insights grounded in the Resource-Based View (RBV) theory, specifically examining firms listed on the Tehran Stock Exchange. Methodology: Utilizing a sample of 149 companies from the Tehran Stock Exchange in Iran spanning from 2015 to 2021, this study tests two hypotheses: (1) a positive relationship between product diversification and cost stickine

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Amiri, Alireza Pakdin, Morteza Pakdin Amiri, and Mojtaba Pakdin Amiri. "The Investigation and Explanation of Local Model of Effective Internal Factors on Stock Price Index in Tehran Stock Exchange with Fuzzy Approach." Journal of Applied Sciences 9, no. 2 (2009): 258–67. http://dx.doi.org/10.3923/jas.2009.258.267.

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Ahmadpour, Ahmad, and Keramatollah Heydari Rostami . "An Empirical Study of Association between Working Capital Management and Performance: Evidence from Tehran Stock Exchange." Journal of Social and Development Sciences 3, no. 8 (2012): 279–85. http://dx.doi.org/10.22610/jsds.v3i8.711.

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Present study is aimed at determining the effects of working capital management on the performance of firms. In this research, we have selected a sample of 112 Iranian firms listed on Tehran Stock Exchange for a period of 10 years from 2000â€“2009, we have studied the effect of different variables of working capital management including the Average collection period, Inventory turnover in days, Average payment period and Cash conversion cycle on the financial performance of Iranian firms. Debt ratio, Current ratio, size of the firm (measured in terms of natural logarithm of sales), financial a

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JAFARI, G. R., M. SADEGH MOVAHED, P. NOROUZZADEH, et al. "UNCERTAINTY IN THE FLUCTUATIONS OF THE PRICE OF STOCKS." International Journal of Modern Physics C 18, no. 11 (2007): 1689–97. http://dx.doi.org/10.1142/s0129183107011662.

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We report on a study of the Tehran Price Index (TEPIX) from 2001 to 2006 as an emerging market that has been affected by several political crises during the recent years, and analyze the non-Gaussian probability density function (PDF) of the log returns of the stock prices. We show that while the average of the index did not fall very much over the time period of the study, its day-to-day fluctuations strongly increased due to the crises. Using an approach based on multiplicative processes with a detrending procedure, we study the scale-dependence of the non-Gaussian PDFs, and show that the te

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Dehghan Dehnavi, Mohammad Ali, Mohammad Hashem Botshekan, MohammadJavad Salimi, and Meisam Bagheri Kopaei. "Survey the Impact of Selected Global Commodity Indexes on Metal Ore Mining Index of Tehran Stock Exchange." Journal of Financial Managment Perspective 11, no. 33 (2021): 85–112. http://dx.doi.org/10.52547/jfmp.11.33.85.

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Moghadam, Reza Javadpour. "Forecasting the Metal Ores Industry Index on the Tehran Stock Exchange: A Gated Recurrent Unit (GRU) Approach." Journal of Artificial Intelligence and Capsule Networks 6, no. 4 (2024): 436–51. http://dx.doi.org/10.36548/jaicn.2024.4.004.

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This research offers an in-depth examination of predicting the closing prices of the metal ores industry index on the Tehran Stock Exchange (TSE) using a Gated Recurrent Unit (GRU) model. The GRU, a type of recurrent neural network, shows great promise for tasks involving time series forecasting. The historical daily price data from October 2017 to October 2022, was used in the study after carefully preprocessing it for further analysis. The study begins with a univariate analysis to reveal distribution characteristics and the relationships between essential variables. A customized GRU model t

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Pooresmaeil Niaki, Roxane, Moslem Peymany foroushani, and Seyed Morteza Amini. "Predicting the trend of the total index of the Tehran Stock Exchange using an image processing technique." Journal of Finance 9, no. 1 (2025): 1–31. https://doi.org/10.61186/ijf.2024.426626.1442.

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Motalebian, Mojtaba, and Zahra Hemmati Ardali. "Investigation of the corporate governance index moderating impact on the negative correlation between surplus free cash flow and earning prediction." Journal of Management and Accounting Studies 5, no. 03 (2019): 58–64. http://dx.doi.org/10.24200/jmas.vol5iss03pp58-64.

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Agency problems have made it difficult to find a way to ensure the quality of financial reporting to have accurate earning forecast. This issue has been taken into special consideration after recent financial scandals, and regulatory authorities in various countries of the world have taken various measures to deal with that. Corporate governance reform is one of the measures that is taken into account in this regard. By reducing the agency problems, the corporate governance mechanisms can reduce the earning opportunities and thereby increase the quality of earnings. On the other hand, increase

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Hasanzadeh, Iman, Mohammad Javad Sheikh, Meysam Arabzadeh, and Ali Akbar Farzinfar. "The Role of Economic Policy Uncertainty in Relation to Financial Market Instability and Stock Liquidity in Tehran Stock Exchange Companies." Dynamic Management in Business Analysis 2, no. 3 (2023): 163–78. http://dx.doi.org/10.61838/dmbaj.2.3.15.

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The purpose of this article is to investigate the role of economic policy uncertainty in relation to financial market instability and stock liquidity in Tehran stock exchange companies. For this purpose, the panel threshold approach model (PSTR) was used based on the annual data of listed companies during the period of 1401-1392. Based on the obtained weights for economic policy uncertainty, the macro indicators section has the greatest effect in creating uncertainty. After that, the monetary and financial sector of the government have the most subsequent effects. Among the variables; The free

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Hanifi, Farhad, Hamid Mahdavirad, and Hamidreza Kordlouie. "A Study on the Chronological Changes and Their Short-Lived Effects on the Market Index and the Stock Return of Tehran Stock Exchange Market." Applied Finance and Accounting 1, no. 1 (2015): 12. http://dx.doi.org/10.11114/afa.v1i1.577.

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Detection and prediction of return fluctuations of securities have always been of great interest to those active in financial markets, leading to their research in financial and economic fields. This research aims at studying and detecting the return difference on specific days and months of a given year-if there is any. For this research the 2 lunar months of Ramadan and Muharram along with the two solar months of Farvardin- March 21 to April 2- and Shahrivar – August 22 to September 22 were chosen. In order to carry out this research, the return difference of the afore-mentioned months was t

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NAMAKI, A., R. RAEI, and G. R. JAFARI. "COMPARING TEHRAN STOCK EXCHANGE AS AN EMERGING MARKET WITH A MATURE MARKET BY RANDOM MATRIX APPROACH." International Journal of Modern Physics C 22, no. 04 (2011): 371–83. http://dx.doi.org/10.1142/s0129183111016300.

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We analyze cross-correlation between return fluctuations of stocks of an emerging market by using random matrix theory (RMT). We test the statistics of eigenvalues of cross-correlation (C) between stocks of the Tehran Price Index (TEPIX) as an emerging market and compare these with a mature market (US market). According to the "null hypothesis," a random correlation matrix constructed from mutually uncorrelated time series, the deviation from the Gaussian orthogonal ensemble of RTM is a good criterion. We find that a majority of the eigenvalues of C fall within the bulk (RMT bounds between λ+a

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Shojaei, Ali, Alireza Ghiyasvand, and Farid Sefaty. "Modeling the Effects of Volatility and Uncertainty in Psychological Errors on Collective Decision-Making of Investors in the Iranian Capital Market." Dynamic Management in Business Analysis 3, no. 1 (2024): 205–34. http://dx.doi.org/10.61838/dmbaj.3.1.12.

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Objective: The aim of the present study is to model the effects of volatility and uncertainty in psychological errors on the collective decision-making of investors in the Iranian capital market. Methodology: To test the hypotheses, a sample consisting of 204 companies from those listed on the Tehran Stock Exchange was selected using the systematic elimination method over a 5-year period from 2018 to 2022. The research data were collected on a monthly basis with a panel data approach and were analyzed using three multiple linear regression models. These models were calculated using the Exponen

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