درخت حوزه‌های تخصصی

Evaluation of stock portfolio performance is considered one of the important issues in the capital market and investment management in stocks. Proper evaluation of portfolio performance requires recognizing the factors affecting it. The macroeconomic variables are important and effective factors due to affecting the systematic risk of companies. In this research, ordinary least squares method (OLS) was used to evaluate the effect of macroeconomic variables including inflation, interest rate, liquidity growth rate, oil price and currency rate (Rial versus Dollar) on the stock portfolio performance based on traditional and modern network theory. Performance of portfolios including growth portfolio, growth-value portfolio, and value portfolio, and offensive portfolio, indifferent and defensive portfolio was measured based on seasonal data from 2006 to 2016 using the Teriner Index. The research results show that at the error level of 5%, macroeconomic variables have an impact on the performance of both traditional and modern networks. However, the Akaike information criterion for the modern network model is equal to 5.822, which is less than the traditional network value with the value of 6.724. This suggests that the interpretation of macroeconomic variables in a modern network portfolio is better than that of traditional one. In addition, the effect of macro variables on the performance of the six portfolios will be different

The data stored in data warehouse is used for making strategic decisions by integrating heterogeneous data from multiple sources at a single storage place, where data is used for querying and analysis purposes. With the advancement in the technology, Business Analytics and Business intelligence are being increasingly used in the financial sector for forecasting business decisions. Many On-Line Analytical Processing (OLAP) tools are being largely explored that can contribute to business decision making. Banking operation handles a lot of data as they operate daily. Subsequently, preparing of this tremendous volume of information requires instant and quick tools that can process the information at high processing speeds. Through this research paper, we represent the OLAP cube as one of the tools which can be used for business analysis. A case study of a bank and loan approval process is considered as one of the areas for implementation and analysis of business decisions using business intelligence which can serve as a key factor for increasing intelligence in the banking sector to make reliable business decisions. Higher management can forecast and predict various outcomes from the bank data warehouse using On-Line Analytical Processing technology which provided a multidimensional view of the data. Analysts can make business decisions by analyzing the reports and pattern trends in the graphs. Management can modify existing policies and procedures to increase the growth of the bank and can have a healthy competition with their competitors.

To create a transformational leadership model for staff members of Tehran's health and treatment facilities, the present study was carried out. To present the model, a qualitative approach has been employed. Academic journalists and administrators of related institutions were part of the study's target population. The data collecting technique was semi-structured interviews. Theme analysis was used in open, central, and selective coding throughout the data analysis process. The results of the interviews revealed that the four components of the transformational leadership model used by the staff at the Tehran health and treatment center are persuasion, network building, capacity building, and entrepreneur orientation. These dimensions' sub-components consist of energizing, bolstering positive behaviors, organizational networks, the spirit of collaboration and engagement, confidence in capacity, belief in success and development, opportunism, and inventive and creative behaviors. The present approach aids the managers of these centers in laying the groundwork for the growth of productive and positive employee behaviors that will help them reach their objectives.

This study investigates empirically the value investors place in excess cash holdingand how managerial ability impact on the value of cash holding for Iranianfirms from 2006 to 2014. In this research, managerial ability calculated by usingthe data envelopment analysis (DEA). Following the approach of Faulkender andWang, we find that the relation between managerial ability and value of cash holdingand the level of cash is positive and significant. This result indicates that whenmanagers allocate cash resources efficiently, shareholders consider more value forthe firm cash holding. Also, the result shows that if managers emphasize bothlong-term and short-term of resource management, investors set a higher marginalvalue of cash holdings. In the other words, the able management can improve thevalue of cash holding by the focusing on the spending resource for both long andshort-term periods.