محمدعلی افشار کاظمی

The effective role of capital in every country flows through giving guidelines for capital and resources, generalizing companies and sharing development projects with public, and also adding accredited companies stock market requires appropriate decision making for shareholders and investors who are willing to buy shares based on price mechanism. Forecasting stock price has always been a challenging task, since it is affected by many economic and non-economic factors and variables; therefore, selecting the best and the most efficient forecasting model is tough and essential. Up to now applying weighted mean called weighted mean price has been used to forecast industry average price for companies in the stock market and investors were forecasting based on this method. First we have identified 10 accredited banks in TSE and 10 banks in Iran Fara Bourse. In this article, by applying one of the mathematical optimizing techniques, industry means got calculated based on optimized parameters and compared with the industry average; in this statement we strived to find another variable that could forecast with less deviation.  In the following study, by calculating frequency level of deviations, average for price forecasting in banking industry during five years is examined. Finally, the research suggests that, instead of using mean of industry average, it is better to use mean average of golden number, which will lead us to more accurate results.

This study&rsquos goal is determining the accurate relationship of central bank with its environment through recognizing the conditions of this bank in four aspects of autogeny(internal authority), heterogeny (interaction), discretion(influence in environment) and detachment (organization self usage of it's resources) . This study is discovery and survey in terms of method. Collecting data tool is questionnaire. After Delphi bike, detachment variable was removed in final questionnaire and for autogeny 10 questions, heterogeny 11 and discretion 17 were designed so it can be said that content and facial validity of questionnaire are confirmed. Since Cronbach&rsquos alpha coefficient was higher than 0.7, it showed acceptable reliability of questionnaire. For analyzing data SPSS and MATLAB software were used. Results showed that there is a significant difference between ideal situation of central bank&rsquos conditions in Iran 2025 with existing situation in all three aspects of autogeny, heterogeny and discretion. There has also been significant relationship among each one of aspects of autogeny, heterogeny and discretion in ideal situation and existing one. In autogeny aspect, experts&rsquo mean was more than population&rsquos mean which showed that central bank&rsquos autogeny in Iran 2025 should be increased compared to current status. In heterogeny aspect, experts&rsquo mean was less than population&rsquos mean and it represented that central bank&rsquos heterogeny in current situation is more than what it should be and central bank should decrease its heterogeny with environment in future. In discretion aspect, experts&rsquo mean was more than population&rsquos mean and so central bank&rsquos discretion is needed to be increased in Iran 2025 compared to current status.