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  1 - Designing a Model for Establishing a Mentoring System in the Ministry of Economic Affairs and Finance (Foundation data Theorizing Method)
  sadegh noormohammadi kiomars Ahmadi Adel Salavati
  Background: The need for proper use of human resources of organizations is the need to develop and apply appropriate training models.Objective: This study was conducted with the aim of designing a model for establishing a mentoring system.Method: This research is an exp More

  Background: The need for proper use of human resources of organizations is the need to develop and apply appropriate training models.Objective: This study was conducted with the aim of designing a model for establishing a mentoring system.Method: This research is an exploratory mix. The statistical population of the qualitative section of experts and expert accountants of the Ministry of Economic Affairs and in the quantitative section includes 322 deputies of financial supervision. The tool for collecting interviews and questionnaires is researcher-made.Results: The results showed that the components (causal conditions (causes of the main phenomenon), strategies (actions or interactions performed to control, manage, deal with and respond to the main phenomenon), context (specific bedrock conditions affecting strategies), conditions Intervenors (effective bedrock conditions in strategies) and consequences (implementation of strategies) are among the factors influencing the design of a comprehensive model for establishing a mentoring system in the Ministry of Economic Affairs and Finance.Conclusion: The model obtained in this study is a suitable model for establishing a mentoring system in the Ministry of Economic Affairs and Finance. Manuscript profile
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  2 - Measuring systemic risk and the effect of fundamental variables on it in the country's banking system
  leila barati Mirfaiz Falah Shams Farhad Ghafari Alireza Heidarzadeh Hanzaei
  The purpose of this article was to measure systemic risk and the impact of fundamental variables on it in the country's banking system. In this regard, information from the period of 2010-2019 was used. In the first part, systemic risk indicators were estimated, then th More

  The purpose of this article was to measure systemic risk and the impact of fundamental variables on it in the country's banking system. In this regard, information from the period of 2010-2019 was used. In the first part, systemic risk indicators were estimated, then the impact of the fundamental variables of the country's banking system and financial stability was evaluated. In order to estimate the model, the final expected deficit method (MES) and panel data were used. The systemic risk index in this research is obtained from the calculation of the degree of leverage (debt size), market size and expected final deficit (MES) in order to finally be able to model the factors affecting it.In this research, first of all, different types of systemic risk assessment models have been evaluated according to the forecast error, and then, with the better selected model, the relationship between systemic risk and the important ratios of the country's banking system has been evaluated. The results showed that there is a significant positive relationship between independent variables such as inflation rate, external debt, government debt, liquidity growth, non-current facility rate, debt ratio and the ratio of book value of equity to market value, and independent variables such as profitability There is a significant negative relationship between the total index of the stock exchange, the growth rate of GDP and return on assets with the systemic risk index among the country's banking system. Manuscript profile