نتایج جستجو برای: information transaction costs and tehran stock exchange

تعداد نتایج: 16950076  

Journal: :بررسی های حسابداری و حسابرسی 0
محمد ایمانی برندق استادیار گروه حسابداری و مدیریت، دانشکدۀ علوم انسانی، دانشگاه زنجان، زنجان، ایران سهراب عبدی دانشجوی کارشناسی ارشد حسابداری، دانشکدۀ اقتصاد و مدیریت، دانشگاه ارومیه، ارومیه، ایران

the aim of this study is to determine the effect of the income smoothing on the future earnings response coefficient taking into account the effect of the information environment. future earnings response coefficient is used as a measure for evaluation of stock price information content which represents the relationship between current stock returns and future earnings. information environment ...

Asgar Pakmaram Hamid Reza Azizi, Nader Rezaei Rasoul Abdi

This study aimed to present a model for portfolio risk premium assessment of companies listed in Tehran Stock Exchange. In order to achieve this purpose, monthly data of 150 companies listed in Tehran Stock Exchange during 2007-2017 was used. In this study, the predictive powers of FamaFrench three-factor model [11], Carhart four-factor model [1], Fama - French five-factor model [24], Brousseau...

2012
Mohammad mahmoodi

The purpose of this study was to analysis the effect of management accounting information system (MAIS) based on decision support (DS) and business intelligence (BI) in return on investment (ROI) and return on equity (ROE) of Tehran stock exchange companies. We used analytical hierarchical process (AHP) through the weighting of MAIS based on DS and BI elements Then, questionnaires based on DS a...

Journal: Iranian Economic Review 2007

Modeling and analysis of future prices has been hot topic for economic analysts in recent years. Traditionally, the complex movements in the prices are usually taken as random or stochastic process. However, they may be produced by a deterministic nonlinear process. Accuracy and efficiency of economic models in the short period forecasting is strategic and crucial for business world. Nonlinear ...

This paper presents a differentiated approach for assessing the effect of oil price changes on gold price and the stock index, during upward and downward movements, using the Markov Switching Bayesian VAR model to analyze data for Iran over the period 2009 to 2016.  We study the non-linear relationship between the price of oil and gold and the stock market index during periods of price decrease...

Journal: :journal of industrial engineering, international 2007
a.m kimiagari s amini

there are different strategies for selecting stocks, and different investors use different strategies according to their risk tolerance or their expected rate of return. in this study, the profitability of a broad range of stock se-lection strategies in tehran stock exchange over the period 1370-1383, has been examined, and it has been investigated whether the successful strategies in other cou...

Organizations expose to financial risk that can lead to bankruptcy and loss of business is increased nowadays. This may leads to discontinuity in operations, increased legal fees, administrative costs and other indirect costs. Accordingly, the purpose of this study was to predict the financial crisis of Tehran Stock Exchange using neural network and genetic algorithm. This research is descripti...

Journal: :پژوهشنامه اقتصاد و کسب و کار 0
الهام امیدی گهر رویا دارابی دانشگاه آزاد اسلامی واحد تهران جنوب نویسنده مسئول

the purpose of this research is to investigate the relationship between earnings variabilityand earnings forecast using neural networks in companies listed on tehran stock exchange. theresearch is of the library and analytical-causal study type, and is based on panel data analysis andneural networks. in this research, financial information of 98 companies from 19 industries intehran stock excha...

Stock market is affected by news and information. If the stock market is not efficient, the reaction of stock price to news and information will place the stock market in overreaction and under-reaction states. Many models have been already presented by using different tools and techniques to forecast the stock market behavior. In this study, the reaction of stock price in the stock market was ...

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