Dividend Policy is one of the most important financial decisions that managers encounter. This study contributes to the literature of dividend and empirical research investigating the effects of dynamic factors in Tehran Stock Exchange. Based on some criteria, the study contains 133 listed firms over a 10-year period from 2001 to 2010. To test the research hypotheses, this study uses Fixed Effe...

this paper investigates the effect of formal information and rumors on the real buyers’ choice in tehran stock exchange. following this study, the question is what kind of information has an effect on buyers’ choice of shares? the purpose of this study is to identify information affecting buyers selected stocks, in order to offer some solutions to enhance stock exchange performance. in this stu...

The aim of this study was to investigate the asymmetric effects of exchange rate fluctuations on Stock index of Tehran Stock Exchange. For this purpose, we first calculated the exchange rate fluctuations using model General Autoregressive Conditional Heteroskedastic (GARCH), and then the effect of these fluctuations on the Stock index of Tehran Stock Exchange was estimated using the Generalized...

Stock prediction with artificial neural network (ANN) techniques is one of the most important issues in finance being investigated by researchers across the globe. ANN techniques can be used extensively in the financial markets to help investors make qualitative decision. In this methodology a multilayer perception (M.L.P) neural network model is used to determine and explore the relationship b...

Abstract The current study aims to investigate the relationship between Iran’s Targeted Subsidies Plan and the stock returns of listed companies on the Tehran Stock Exchange (TSE). Stock returns is obtained from the indices of three industries: pharmaceuticals, chemicals, and machinery and equipment. Moreover, the present research uses gold price and dollar price as control variables. The Targe...

Data Envelopment Analysis (DEA) is one of the popular and applicable techniques for assessing and ranking the stocks or other financial assets. It should be noted that in the financial markets, most of the times, the inputs and outputs of DEA models are accompanied by uncertainty. Accordingly, in this paper, a novel Robust Data Envelopment Analysis (RDEA) model, which is capable to be used in t...

Co-movement analysis has a significant role in recourse allocation, risk management, etc. This study uses the novel approach of wavelet coherence in continuous wavelet transform framework to investigate the correlation dynamic and spillover effect of 10 main sector indices of Tehran Stock Exchange, in time and frequency domains. Analyzing the data indicates that correlation structure among TSE ...

The main goal of this paper is to propose a new approach for efficiency measurement and ranking of stocks. Data envelopment analysis (DEA) is one of the popular and applicable techniques that can be used to reach this goal. However, there are always concerns about negative data and uncertainty in financial markets. Since the classical DEA models cannot deal with negative and imprecise values, i...

this study investigates relation between accruals quality and auditor selection in the listed firms of tehran stock exchange (tse) during a five-year period from 2007 to 2011.  using correlation method and logistic regression technique, the results of this study indicate that client size, management change and accruals quality impact on selection of the big audit firms.  the results of this res...