While prior research on the Covid-19 effects stock markets focused developed countries, this study aims to examine impact of Iran’s emerging and developing market. The sample comprised 245 companies listed Tehran Stock Exchange (TSE). This uses panel-data regression models evaluate influence announcement returns from February 12th 26th, 2020. results indicate that Coronavirus outbreak in Iran h...

The presence of bubbles in the markets and its formation has been regarded by economists and they have been looking to develop methods that can be recognized by using appropriate method for the formation of bubbles. In this paper, first, the formation of bubbles is tested using the new unit root test known as Phillips test (Generalized Sup ADF test) for 50 companies in the Tehran Stock Exchange...

However, the free cash flows scale is important for the financial health of the company, but it has also its own limitations. Moreover, it’s not immune from accounting tricks. Free cash flows can be considered as a measure of value for shareholders of listed companies on Tehran Stock Exchange. The managers of these companies have tended to use the earnings management for managing the free cash ...

Companies incur significant costs from the financial distress. Predicting financial distress will have an important role in preventing bankruptcy. The aim of the present study is to predict the financial distress costs using the Leland and Toft models, during 1996 and 1998. This study examines data relating to 49 companies listed in the Tehran stock exchange collected over ten years from 2005 t...

This research studies the companies’ effectiveness and performance relationship with stock market liquidity in Tehran Stock Exchange during 2010-2015. Simultaneously, in the study, the three indicators: return on assets, return on investment and Tobin's Q ratio were applied as a measure of the performance and bid-ask spread as a measure of liquidity, bid-ask spread to the stock market. This res...

In this paper, researchers estimated the stock price of activated companies in Tehran (Iran) stock exchange. It is used Linear Regression and Artificial Neural Network methods and compared these two methods. In Artificial Neural Network, of General Regression Neural Network method (GRNN) for architecture is used. In this paper, first, researchers considered 10 macro economic variables and 30 fi...

The main objective of this research is the index of profitability on the capital structure of listed companies on the Stock Exchange of Tehran. Statistical population consisted of all above companies that 138 companies were selected in time zone of 2011-2014 after screening method (systematic elimination). The research method is descriptive and correlation and study variable is profitability in...

in this article the weak form of efficient market hypothesis, was tasted by using prices of common stocks listed in the tehran stock exchange. the study used weekly prices of fifty common stocks between september 1989 and june 1993 . the sample consisted of those stocks which were most active on the tehran stuck exchange over the study period. the results showed that stock price changes were no...

Modeling the dependency between stock market returns is a difficult task when returns follow a complicated dynamics. It is not easy to specify the multivariate distribution relating two or more return series. In this paper, a methodology based on fitting ARIMA, GARCH and ARMA-GARCH models and copula functions is applied. In such methodology, the dependency parameter can easily be rendered condi...

in this study business operations and liquidity and credit risk on price fluctuations on the stock exchange since 2010 to 2013 has been tehran distance. the sample consisted of 76 company the systematic elimination method is selected. the company had a total of 304 years, in this study, the hypothesis of linear regression and correlation to analyse the data and test hypotheses eviews software i...