The purpose of this study is to investigate the effect of corporate governance (CG), corporate social responsibility (CSR) and their interactive effect on the value of companies listed on the Tehran Stock Exchange. For this purpose, the data of 194 companies listed on this stock exchange, which was selected using a systematic elimination method, from 2011-2017 were collected and analyzed using ...

Ranking of companies listed on the exchange represent their status and considered a criterion for investment. Also, it increases market's competition, development and efficiency. In this study, the fifty superior companies listed in Tehran Stock Exchange were ranked based on financial ratios (liquidity, operational, leverage and profitability) using FAHP- FTOPSIS hybrid approach during the year...

The purpose of this research studies the impact of business intelligence on the financial reporting quality of listed companies in the Tehran Stock Exchange using structural equation modeling. The instruments of this research were the business Intelligence Questionnaire (Provich, 2012) and the financial statements of listed companies in The Tehran Stock Exchange to study of the financial report...

Noise traders as one of the key elements of the market play a significant role in determining the market volatilities, returns, and stock market mispricing. Hence, this study attempts to scrutinize the role of noise trading in capital asset pricing. Therefore, by using daily data, samples including 14105 data of 200 companies listed on stock exchange were selected and noise trading index was es...

This paper uses an innovative method through combining autoregressive distributed lag model and a quantile regression, called a quantile autoregressive distributed lag model, to examine the dynamic long-run equilibrium and short-run causal relationship between the stock price of China and the RMB/USD exchange rate from January 1994 to June 2016. The results indicate that there is long-run coint...

Big data plays a serious role within the business for creating higher predictions over business information that is collected from the real world. Finance is that the new sector wherever the big data technologies like Hadoop, NoSQL are creating its mark in predictions from financial data by the analysts. It’s a lot of fascinating within the stock exchange choices which might predict on a lot of...

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...