Identification of useful patterns in price movement of a stock in stock market needs tremendous analytical skills and effort. Careful analysis of the available technical indicators will help finding the right timing of trading of a stock to maximize the gains. To help investors manage their portfolios, we propose a tool for clustering and classification of stock market data using an unsupervise...

The main objective of this study is to give the insight of describing mixing accounting ratios and macroeconomic variables as the risk factors in Iran. The results indicate a significant relationship between book to market ratio, financial leverage, size factors and expected stock returns in the Iranian market. In consistent with the other studies, we came to the conclusion that the term struct...

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 purpose of this study is to compare the impacts of momentum on stock returns of companies listed in Tehran Stock Exchange in different market conditions. For this purpose, the sample size is 120 months from 2008 to 2017. The research hypotheses are estimated using multivariate linear regression using time series method. Based on the results of the hypotheses test, the momentum in each of th...

this paper examines regime shifts in tedpix return and volatility and the effects of positive and negative crude oil shocks and gold price fluctuations on stock market shifts behavior using markov switching egarch model with student’s t-distribution. we detect two episodes of series behavior, one relative to low mean/high variance regime namely bear state and the other to high mean/low variance...

The interaction of BRICS stock markets with the United States is studied using an asymmetric Granger causality test based on the frequency domain. This type of analysis allows for both positive and negative shocks over different horizons. There is a clear bivariate causality that runs both ways between the United States stock market and the respective BRICS markets. In addition, both negative a...

generally, high oil prices slow economic growth, cause inflationary pressures and creates global imbalances. in addition, oil price volatility increase uncertainty and restrain the much-needed investment in the capital market. thus, this paper applies the augmented dickey fuller and johansen co-integration tests in which the effect of oil price volatility, crude oil price and stock price is ana...

Stock market forecasting is important and interesting, because the successful prediction of stock prices may promise attractive benefits. The economy of Taiwan relies on international trade deeply, and the fluctuations of international stock markets will impact Taiwan stock market. For this reason, it is a practical way to use the fluctuations of other stock markets as forecasting factors for f...