the difficulty of determining intrinsic value of stock prices have led many people to use technical analysis in order to forecast stock prices in the future. to predict the stock price we need to determine the generating process of stock prices. in recent years many time - series methods have been used for forecasting purposes. one of these methods is the rescaled range analysis (ris). in the a...

in last 1990 decade and early 21 century due to high fluctuations in assets prices and occurring asset price bubbles, most studies in monetary economics has concentrated on the reaction of monetary policy to movement in asset prices. the purpose of this paper is to analyze the suitable reaction of monetary policy to movement in asset prices in iran. this analysis is based on the structural var ...

The purpose of this research is predicting the stock prices using the Particle Swarm Optimization Algorithm and Box-Jenkins method. In this way, the information of 165 corporations is collected from 2001 to 2016. Then, this research considers price to earnings per share and earnings per share as main variables. The relevant regression equation was created using two variables of earnings per sha...

this paper examines the causal relationship between stock prices and macroeconomic aggregates in iran, by applying the techniques of the long–run granger non–causality test proposed by toda and yamamoto (1995). we test the causal relationships between the tepix index and the three macroeconomic variables: money supply, value of trade balance, and industrial production using quarterly data for t...

Data mining using integration of clustering and decision tree algorithm has been proposed for predicting the stock market prices. This mechanism involves studying stock price patterns in time by attempting to predict future results of a time-series by simply studying patterns in the time-series of stock prices. The goal of this project is to implement data mining in order to predict the Time-Se...

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 paper examines the causal relationship between stock prices and macroeconomic aggregates in Iran, by applying the techniques of the long–run Granger non–causality test proposed by Toda and Yamamoto (1995). We test the causal relationships between the TEPIX Index and the three macroeconomic variables: money supply, value of trade balance, and industrial production using quarterly data for t...

The extent to which the stock market provides a hedge to investors against inflation is examined for African stock markets. By employing parametric and nonparametric cointegration procedures, we show that the point estimates of the elasticities of stock prices with respect to consumer prices range from 0.015 for Tunisia to 2.264 for South Africa, evidence of a positive long-run relationship. Fu...