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Empirical Analysis of the Financial Behavior of Investors with Brand Approach (Case Study: Tehran Stock Exchange)

. Evaluating Collective Behavior of Investors in the Tehran Stock Exchange. Quarterly of Empirical Studies in Financial Accounting, 11(42), 141-158. Jureviciene, D., Bikas, E., Keliuotyte-Staniuleniene, G., Novickyte, L., and Dubinskas, P., 2014. Assessment of Corporate Behavioral Finance. Procedia: Social and Behavioral Sciences, 140, 432-439. doi: http://dx.doi.org/10.1016/j.sbspro.2014.04.449 Katarachia, A., and Konstantinidis, A., 2014. Financial Education and Decision Making Processes. Procedia Economics and Finance, 9, 142-152. doi

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Empirical Analysis of the Financial Behavior of Investors with Brand Approach (Case Study: Tehran Stock Exchange)

., 2016. Starting Points for a New Researcher in Behavioral Finance. International Journal of Managerial Finance, 12 (1), 92-103. doi: http://dx.doi.org/10.1108/IJMF-05-2015-0111 Israel, G. D., 1992. Sampling the Evidence of Extension Program Impact. Program Evaluation and Organizational Development, IFAS : University of Florida. Jahangiri-e-Rad, M., Marfo, M., and Salimi, M., 2014. Evaluating Collective Behavior of Investors in the Tehran Stock Exchange. Quarterly of Empirical Studies in Financial Accounting, 11 (42), 141-158. Jureviciene, D

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Measuring Information Asymmetry in Large Active Firms on the Tehran Stock Exchange

Abstract

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 provide more information, measuring the informational environment of these firms provides an overview of information asymmetry. The present study calculated the information asymmetry in these firms using the PIN and FE indices. The inconsistent results provided by these indices prompted the authors to offer a new index that is a composite of the PIN and FE that can better explain information asymmetry in developing market such as Asian stock markets. The results show that the new composite index, by using the mechanisms of the PIN and FE indices, provides a better outcome. The new composite index shows that the Tosee Melli Inv (TMEL1), Mobarakeh Steel (FOLD1), Iran Mobil Tele (HMRZ1), Saipa (SIPA1) and I.N.C. Ind. (MSMI1) firms have a better informational environment on the Tehran Stock Exchange.

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The Relation of Working Capital and Fixed Assets: a Study

Business Finance and Accounting , Vol. 30, No. 3 & 4, 573-587. Enayati, S. (2004). Review and Explain Working Capital Management in Companies listed on Tehran Stock Exchange. MA Thesis, Shahid Beheshti University, Iran. Fahimzadeh, S.R (1998). Relationship between liability with profit and assets return. MA Thesis, Tarbiat Modarres University, Iran. Gill, A., Biger, N. & Mathur, N. (2010). The Relationship between Working Capital Management And Profitability: Evidence From The United States, Business and Economics Journal

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Investment-Cash Flow Sensitivity: A Study of Iranian Listed Companies

The main objective of the current study is to examine the effect of audit report on cash-flow investment sensitivity of 123 listed companies in Tehran Stock Exchange (TSE) during 2006-2010. Regression analysis and synthetic data were used for data analysis. The results showed that receiving modified report has a significant negative effect on cash flow-investment sensitivity. The findings also suggest the significant effect of receiving qualified report and unqualified report with explanatory paragraphs on cash flow-investment sensitivity.

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Financial Distress Prediction of Iranian Companies Using Data Mining Techniques

Abstract

Decision-making problems in the area of financial status evaluation are considered very important. Making incorrect decisions in firms is very likely to cause financial crises and distress. Predicting financial distress of factories and manufacturing companies is the desire of managers and investors, auditors, financial analysts, governmental officials, employees. Therefore, the current study aims to predict financial distress of Iranian Companies. The current study applies support vector data description (SVDD) to the financial distress prediction problem in an attempt to suggest a new model with better explanatory power and stability. To serve this purpose, we use a grid-search technique using 3-fold cross-validation to find out the optimal parameter values of kernel function of SVDD. To evaluate the prediction accuracy of SVDD, we compare its performance with fuzzy c-means (FCM).The experiment results show that SVDD outperforms the other method in years before financial distress occurrence. The data used in this research were obtained from Iran Stock Market and Accounting Research Database. According to the data between 2000 and 2009, 70 pairs of companies listed in Tehran Stock Exchange are selected as initial data set.

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The Relationship between Delay in Announcing Quarterly Forecasts of Annual Earnings and the Type of Earnings News

. & Sletten, E. (2012). Voluntary Disclosure Incentives and Earnings Informativeness. The Accounting Review , 87(5), 1679-1708, http://dx.doi.org/10.2308/accr-50189 Sarhangi, H. (2001). Examining the factors influencing annual reporting timeliness of companies in Tehran stock exchange during 1995 to 1999. Msc dissertation. Tarbiat Moderress University, Iran. Sengupta, P. (2004). Disclosure timing: Determinants of quarterly earnings release dates, Journal of Accounting and Public Policy , 23, 457-482, http://dx.doi.org/10.1016/j

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The Challenges of Corporate Taxation in Iran: The Case of Construction Companies in the Province of Kurdistan

Evasion: Theoretical Insights”, Public Security and Public Order, 16, 80-95. Kbiladze, T. (2016). Tax Burden for the Companies in Georgia, Management Theory and Studies for Rural Business and Infrastructure Development , 38(1), 28-35. Khani, A., Imani, K., and Molaei, M. (2013). “Investigating the Relationship between the Industry Expertise of Auditor and Tax Avoidance of Companies Listed in Tehran Stock Exchange Journal of Audit Science, 13(51), 43-68. Kondelaji, H., Sameti, A., and Moayedfar (2016). “Analyzing Determinants of Tax Morale based on

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Comparison of Semi-Parametric and Benchmark Value-At-Risk Models in Several Time Periods with Different Volatility Levels

., Thomas, S., Shah, A. (2003). Selection of Value-at-Risk Models. Journal of Forecasting, 22 (4), 337-358. Shams, M., Sina, A. (2014). Evaluating Market Risk Assessment through VAR Approach before and after Financial Crisis in Tehran Stock Exchange Market (TSEM). Journal of Management and Sustainability, 4 (2), 134-146. Su, J.B., Hung, J.C. (2011). Empirical Analysis of Jump Dynamics, Heavy-tails and Skewness on Value-at-risk Estimation. Economic Modelling, 28 (3), 1117-1130. Tagliafichi, R.A. (2003). The Estimation of Market VaR using GARCH Models

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Effective Portfolios – An Application of Multi-Criteria and Fuzzy Approach

Verlag. Jahanshahloo, G.R., Hosseinzadeh Lotfi, F., Izadikhah, M. (2006). Extension of the TOPSIS Method for Decision-making Problems with Fuzzy Data. Applied Mathematics and Computation , 181 (2), 1544–1551. DOI: 10.1016/j.amc.2006.02.057. Jajuga, K., Jajuga, K. (2015). Inwestycje – Instrumenty finansowe. Aktywa niefinansowe. Ryzyko finansowe. Inżynieria finansowa. Warszawa: Wydawnictwo Naukowe PWN. Kazemi, A., Sarrafha, K., Bedel, M. (2014). A hybrid fuzzy decision making method for a portfolio selection: A case study of Tehran Stock Exchange

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