study of the changes in the stock price in tehran stock exchange is of great importance. this is because of its application in forecasting the stock price in the stock exchange. the aim of this article is to investigate the forces and mechanisms that cause the dramatic changes in stock price and the formation of chaotic trend. to test whether the chaotic trend in the tehran stock exchange exist...

in this paper, a model has been provided for selecting right portfolio in stock exchange. the ranking of financial industries and companies has been applied for the selection of the right stock in this model. these rankings have been done through promethee decision- making method. technical analysis aims to determine the right time to buy and sell the superior stocks. a survey study is also don...

this research aims to explain the growth and value stocks anomaly by the relationship between accounting ratios and skewness of stock return distribution. then, the data of 89 companies listed in the tehran stock exchange are collected and analyzed for 2009 to 2013. furthermore, the fixed effect panel data method is used to examine the hypothesis. the results show that there is a negative and s...

Article history: Received 31 July 2008 Received in revised form 27 July 2009 Accepted 29 April 2010 Available online 16 May 2010 Complex networks are constructed to study correlations between the closing prices for all US stocks that were traded over two periods of time (from July 2005 to August 2007; and from June 2007 toMay 2009). The nodes are the stocks, and the connections are determined b...

this paper investigates empirically the effect of volatility of the exchange rate of the u.s. dollar vis-à-vis the euro on u.s. stock market volatility while controlling for a number of drivers of stock return volatility. using a garch(1, 1) model and using weekly data covering the period from the week of january 1, 1999 through the week of january 25, 2010, it is found that the 9/11 terrorist ...

This paper investigates whether sentiment analysis of public mood derived from large-scale Twitter feeds can be used to identify important events and predict movements of stock prices. We used the volume and sentiment polarity of Apple financial tweets to identify important events and predict future movements of Apple stock prices. Statistical analysis using the Granger causality test showed th...

While the relationship between stock market return and oil price is of great interest to researchers, previous studies do not investigate stock market return with petrochemical products market. In this paper, we analyzed the relationship between prices of main petrochemical products and stock returns of petrochemical companies in Tehran stock exchange. Using a panel data model and GLS estimatio...

This study applied a prediction-based portfolio optimization model to explore the results of portfolio predicament in the Tehran Stock Exchange. To this aim, first, the data mining approach was used to predict the petroleum products and chemical industry using clustering stock market data. Then, some effective factors, such as crude oil price, exchange rate, global interest rate, gold price, an...