درخت حوزه‌های تخصصی

Banks play an important role in the Iranian economy which has a bank-based financial system. We examined the impact of exchange rate volatility as a determinant of banks' performance. In recent years, the exchange rate has been volatile in the Iranian economy and have an adverse effect on banks' performance. This study, investigate the issue for the period 2007-2017 for 14 Iranian banks. Exchange rate fluctuations are derived by GARCH method and the effect of its fluctuations on bank performance examined using panel data method. In order to evaluate banks' performance, we used two criteria, namely liquidity and profitability. Estimation of econometric model using panel data by random effects indicated that exchange rate volatility has a negative and statistically significant effect on banks' capital return ratio. Exchange rate volatility is also a determinant in increasing the ratio of lending to total bank deposits, as it increases the financial gap and creates the credit risk that the gap entails. JEL: N10, G01, E44, C22.

Context/purpose: Factors affecting the technology, and innovation levels of crude oil treatment’s surface facilities, are numerous and extensive. Localization of surface facility as a high-tech Technology, which include oil and gas production and processing units, has always been one of the main issues, and technology management and innovation are essential priorities for these facilities. The purpose of this practical, heuristic, and quantitative research is to develop the studies and identify the current state of technology for crude oil treatment’s surface facility technology level in Iran and compare it with its global one. Methodology: Considering the wide range of factors that are used in evaluating technological and innovative capabilities with uncertainty. This research is applied in terms of purpose. Using a survey method and collecting qualitative data through a questionnaire, has led to descriptive results. This study by referring to experts and specialists, these factors according to their importance and priority in different classes of classification and then with statistical analysis, the relationship and correlation of these factors have been examined. For this purpose, 44 experts in oil and gas industry have been used for replying the qualitative questionnaire, then the fuzzy system model has been used to investigate the uncertainty in their answers and Quantitative results. Findings: The results of this study show that the most influential factors in surface facilities such as technological and innovative factors and managerial potential and human resources, etc. are not at an acceptable level compared to developed countries. Conclusion: The analysis of uncertainty between opinions of experts and factors investigated also confirms that attention to innovation and technology capacity and Technology capability and human resources in the National Iranian Oil Company should be increased.