An Overview of the Importance and Why the Stock Return Prediction, with Emphasis on Macroeconomic Variables
The need for and attention to the future and their relevance has been repeatedly discussed in our markets and the subject of forecasting is a unique factor that estimates future unknown values. Given the importance of forecasting in financial research, stock return predictions have so far been tested through various models and variables. Most of these variables, were external variables based on macroeconomic variables in addition to internal variables. In the light of the above, the present article reviews and empirically investigates some of the most important macroeconomic variables that were previously used in a variety of stock return forecasting models. The results of the paper show that macroeconomic variables effective on the stock market (stock return or market index) are suitable for modeling to predict stock returns. In the stock market of our country, the results of the impact of these variables on stock returns have been similar in some respects and contradictory in other respects, and the reasons can be attributed to the type of forecasting models, the time period of the research and different economic structure of the country.
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Analysis of Tracking Performance and Tracking Error in the Exchange-Traded Fund in Tehran Stock Exchange
*, Maryam Gavara, Abolfazl Mansour Gorgani
Journal of Monetary & Banking Researches, -
The efficiency of tracking gold exchange-traded funds in the Tehran Stock Exchange: analysis of tracking error and double beta model
*, Seyed Fakhreddin Fakhrehosseini, Sama Najafpoor
Journal of Decisions and Operations Research,