فصلنامه پژوهش های پولی - بانکی
پیاپی 32 (تابستان 1396)

The exchange rates unification policy as an announced policy by policymakers and monetary authorities can have important effects on the macroeconomic variables of the Iranian economy and intensify the conditions of the stagflation. By considering the experience of other emerging countries for exchange rates unification policy in this study, the effects of this policy will be evaluated on macroeconomic variables, including economic growth, inflation, and unemployment, using panel data during the period 1984-2014. For this purpose, the difference in differences approach is used to estimate the effects of this policy on the mentioned macroeconomic variables. According to the results, the exchange rate unification policy can leads to increasing economic growth and inflation in both treatment and control groups during the selected period but had no significant effect on the unemployment rate. Also, the policy leads to increasing economic growth, reducing inflation and unemployment in the treatment group compared to the control group. However, the role of macroeconomic conditions and the economic environment have been important.

The relationship among ownership structure and risk of banks is one of the main issues in the money and banking literature and has been considered empirically in recent years. Hence, the aim of this paper is to investigate the impact of ownership structure on the behavior risk of private and public banks with a sample of 15 banks during the 2005-2014. For achieving this objective, two models have been estimated by applying dynamic panel data approach for these groups of banks. The main findings of this study indicate that the ownership structure has a positive effect on the return of banks and the risk of private banks is less than of other public banks after the implementation of privatization rule. Moreover, the leverage effect and growth of GDP has positive effects on the return of banks over the period of study.

The main purpose of this research is to study the relationship between Open Interest and Time-to-maturity with the Return of gold futures contracts in Iran Mercantile Exchange. In this research, open Interest and Time to maturity are independent variables and the Return of contracts is the dependent variable. In this regards, the current statistical population involves future gold contracts of Iran Mercantile Exchange during 15 months. The research data has been gathered through listed futures contracts on the Gold coin with maturity data of 2013 and 2014. The Linear Regression with fixed effects has been used to test the hypothesis. According to the findings, there is a linear relationship between the effects of Time-to-maturity with Returns of future contracts. But the results do not show any significant linear relationship between the number of Open Interests effects and the Return of future contracts.

Since, mobilization and allocation of financial funds is the main task of a bank, managing this process should be in the best possible way. It is only possible if managers can successfully analyze the detailed information of the cost and benefits of the process. The main objective of this study is to compare two traditional costing and activity-based costing systems. This study is based on data collection method and the research method is a descriptive case study. Our data sample includes 11 branches of Agricultural Bank in Mazandaran Province during the 2015 fiscal year. To test the research hypothesis, we apply the U Mann Whitney and T-test. The results show that cost of all types of deposit, except the other deposits item, are significantly different in two systems.

The emergence of the knowledge-based economy increases the importance of strategic human capital as an intangible asset and is an important source of competitive advantage for an organization. To take a step forward to promoting this intangible capital, It is required to study the internal dimensions of human beings and provide an area for enhancing the existing human capital, ultimately examine the financial performance of the bank. This research studies the impact of strategic human capital on financial performance in the listed Banks in the Tehran stock market. To collect data, we use two strategic human capital questionnaires and one questionnaire about the impact of strategic human capital on the income. The Cronbach's alpha indicates the reliability of questionnaires are at a high level and also their validity is confirmed at a high level. In this research, a sample of 90 employees of the banks is selected by classification method with appropriate allocation among the employees. The findings of the study showed that the psychological capital has a direct and significant effect on the performance of the organization. Moreover, the strategic human capital increase the bank's revenues.

The aim of this study is to examine the dynamic relationship between monetary and banking variables and life insurance demand.The sample of this study includes all insurance companies in Iran during the years 1989-2016. In order to examine the short run and long run correlation between the variables, we use VAR and VEC models. The results do not indicate any significant short-term relationship between the banking profit rates and demand for the life insurance. Also, our findings confirm the significance of dynamic relationship among the banking profit rates, private sector credits, the life and non-life insurance penetration rates, money supply and demand for the life insurance. The results also show that there is not any significant relationship between non-life insurance penetration rate and demand for life insurance. Moreover, in the short term, the money supply and demand for life insurance have not any significant relationship. According to the research, it is suggested the insurance companies can make a strong alternative choice besides banks deposit in Iranian financial market by providing innovative and attractive products in the insurance industry.

Big Data Science is a new research field that emerged with the continuous increase of data, scaling up to unprecedented amounts, generated by Internet-based systems. The core of Big Data Science is the extraction of knowledge from data as a basis for intelligent services and decision making systems. The purpose of this study is developing a Framework of Big Data Governance enabling knowledge flow management. Research method is Qualitative and this method is used as paradigm model and is based on grounded theory. In addition, thirty in-depth interviews are held with experts and managers of the central bank of Iran. The result of this case study within the central bank of Iran, represents 52 sub categories which all are categorized as 15 items, and after confirmation by elites, they are categorized as six groups of causal, pivotal, Strategic, environmental, intermediate and consequential.