نشریه اقتصاد مالی
پیاپی 59 (تابستان 1401)

 The behavior of the employees of the organization and their personality and social psychology have implicitly has a tremendous impact on various organizational and national equations and in a wider context on global respects and modern human have chosen different moral standards than in the past and show special behaviors based on them . The purpose of this study is to explain the effect of personality and types of social psychology on formation of corporate social responsibility reporting.This research is based on a mixed (quantitative-qualitative) method. Therefore, the quantitative part of the research, was done by distributing questionnaire among the statistical community, which included 225 experts, managers and psychologists that all of them were accounting and psychology experts and company managers. Data analysis was performed based on descriptive and inferential statistical methods through SPSS software version 23, Amos software, Microsoft Excel. In qualitative part, content analysis technique have been used.According to the results of interviews with 15 experts, it can be said that 210 factors in explaining the impact of personality and social psychology types in the formation of corporate social responsibility reporting, each in the form of different factors in the formation of corporate social responsibility reporting It is effective.The results show that personality and social psychology have a positive and significant effect on the formation of social responsibility reporting. And social responsibility reporting is a strategic management task that encourages organizations to plan for, maintain, and care for long-term change in the society.

The present article explains the mechanism of the effect of shocks on oil prices, currency prices and investment by considering the adjustment costs on the stock price index using SVAR structural self-regression model for the years 1370-1397. Based on SVAR model estimation results; A shock in oil prices will reduce production by 5 percent and reduce employment in the country by 1 percent. The results also show that a single impulse from the oil price range increases the stock price index by 33%, as well as an exchange rate impulse from the exchange rate increases the stock price index by 7% and an impulse from Taking into account the adjustment cost, the investment area will reduce the stock price index by 40%, as well as a shock from the commercial period and the production gap will reduce the stock price index by 17%. Also based on the results of analysis of variance among the variables of the model; Investing in adjustment costs, oil price shocks, currency shocks, real interest rate shocks and production gaps, respectively, accounted for the largest percentage of explanatory changes in the model during the period under review. Therefore, reducing investment adjustment costs by applying various policies such as; Distributing skills and supporting unemployed workers, developing technical and vocational education, reducing labor costs between industries, using trade liberalization policies can be helpful in ensuring macroeconomic stability and stock market and stock market index..

The effects of inflation uncertainty and economic growth on oil and gas consumption in the Iranian economy are investigated. Using the family of GARCH models and annual data of inflation and economic growth during the period 1399-1360, the uncertainty behavior of inflation and economic growth has been estimated. The cofficient show that the uncertainty of inflation and economic growth has significant effects on level of gas and oil Consumption.In addition, thereaction functions based on the Markov-switching approach, determinds that the shock of inflation and economic growth uncertainty has a positive effects on gas and oil consumption at the beginning of the period and has a negative effect after 4 periods. In the medium term, it has a negative effect on oil and gas consumption, which can not be in line with the sustainability of oil and gas consumption, in the long run, such conditions has no effect on oil and gas consumption and tends to zero after 20 periods.

In the banking industry, a diverse range of activities has been introduced under the heading of social banking measures; Social banks try to invest in activities that improve the conditions of society as a whole. Stable investments and lending methods; These are some of the things that these banks use to increase the quality of social life and play an important role in financing small industries. Although banks have been involved in this in recent years; But social banking is a new approach to the growth of small industries. Therefore, the present study seeks to investigate social banking in the world for small industries and provide a solution on how to generalize it in Ardabil province. In terms of orientation, this study is in the category of applied research and in terms of nature, it is in the category of exploratory research. It is also considered qualitative in terms of data certainty. The sampling method is a judgmental and purposeful method. The statistical population of the present study is all experts and experts in the field of banking, in which 20 interviews were conducted and analyzed. The results were analyzed using MAXQDA software. Data analysis was performed by analyzing the theme and after analyzing the interviews and open and centralized coding of the interview text, four dimensions of social banking were identified, which are (financing, environment, customers and society). Finally, by reviewing the research literature and presenting successful social banking solutions in the world; Solutions appropriate to the business environment of Ardabil province for small industries located in the towns and industrial areas of the province were given and suggestions in this regard were provided to banks to finance these industries.

Causal relationships and dynamic interactions between macroeconomic variables and stock price index are very important in formulating macroeconomic policies and political policies of a country. In this article, the effect of economic variables on the behavior of the stock price of the company admitted to the stock exchange was investigated. The research method of this article is based on the purpose of the article (examining the effect of economic variables on the behavior of the stock price of a company admitted to the stock exchange) and is of an applied type. An attempt was made in this article; By explaining the theory and designing a model and using the econometric methods of the TAR threshold self-return model, the effect of economic variables on the behavior of the stock price of the company admitted to the stock exchange was investigated. In reviewing and compiling the subject literature, statistical tables and global databases were used to collect the required statistics and quantitative information. The statistical population of this research is all the economic variables of the research, which are the data of the research variables from 1370 to 1398 (a period of twenty-nine years). The results of the analyzes using the econometric methods of the TAR threshold self-return model, there is a significant relationship between the economic variables and the stock price index in the stock exchange, but in the regime of the behavior of the variables on the stock price index in the stock exchange. Is different.

The performance of listed firms is affected by a variety of internal and external factors. In addition to exploiting the internal factors, the managers of these firms must be able to navigate the external environment in such a way as to achieve their intended goals. The present research investigates the impact of currency fluctuations as an environmental factor on the performance of the firms listed on the Tehran Stock Exchange (TSE). This quasi-experimental research uses the generalized autoregressive conditional heteroskedasticity (GARCH) model to evaluate the impact of currency fluctuations on firm performance and the autoregressive distributed lag (ARDL) model to measure the effect of lags on this relationship. The results show that currency fluctuations significantly affect the performance of TSE-listed firms, but the strength and type of these effects vary across industries. Also, these effects occur with different time lags in various industries.

 The purpose of this study was to design an entrepreneurial empowerment model in Iran. In this study, a combined method (qualitative and quantitative) was used. The statistical sample of the study included 33 entrepreneurship experts, 110 micro and macro business managers and 163 entrepreneurship students. The tools of this research were Delphi questionnaires, interpretive structural modeling and entrepreneurial performance. Validation of questionnaires using expert opinion and validity using factor analysis. The reliability of the questionnaires was also confirmed by Cronbach's alpha method. Delphi method and interpretive structural modeling were used to identify entrepreneurial enablers and to examine the relationship between them, and structural equation modeling method was used to test research hypotheses. According to the results, a total of 9 empowerment (cultural factors, economic factors, information, political factors, contextual factors, structural factors, institutional factors, personality and individual characteristics, and the use of the global community) and 52 identifications. Were. The final results of ISM showed that the underlying factors and the benefit of globalization are at level 1 and the cultural factors are at level 6. Also, the results of sub-hypotheses showed that all entrepreneurial enablers affect entrepreneurial performance.

The purpose of the present study is to investigate the mechanism of the effect of economic factors on the volume of bank deposits in the banking system of Iran. For this purpose, firstly, the test of endogeneity versus exogenity of money was tested by examining the two views of conformists and structuralists, and then the effect of economic factors on the volume of bank deposits in the banking system of Iran with the threshold approach (STAR) and based on the quarterly data of 1379- 1397 was estimated. The results of the system generalized torques model show the confirmation of the conformist and structuralist views for Iran's economy, but the degree of money endogeneity in Iran is not complete, so the role of the central bank is important both through the monetary base and the increasing coefficient on the money supply. Also, the estimation of the results of the model (STAR) shows; The variables of exchange rate fluctuations and inflation rate, global financial crises have a negative effect and the variables of oil price, liquidity, bank deposit interest rate and bank facilities have a positive effect on the total volume of bank deposits. According to the results; One of the challenges that exists in the banking network of Iran is the government management of banks, therefore, monetary policies are a source of financing and a source of rent, so it is suggested to increase the liquidity of banks and direct it to the real sector of the economy, laws to reduce interference Government in private and public banks, to improve the competitive and banking atmosphere of the country.

The main purpose of this research is the non-linear effect of the stock index on the development of the industrial sector in Islamic countries. This study is of a causal nature in terms of practical purpose and in terms of data collection and descriptive information. The methodology is post-event. In this research, an attempt was made; By explaining the theory and designing a model to investigate the non-linear effect of the stock index on the development of the industrial sector in Islamic countries, with an emphasis on various indicators of financial development: the soft panel transfer regression (PSTR) approach was investigated. The geographical area of ​​research of Islamic Conference member countries (Albania, Algeria, Azerbaijan, Afghanistan, Iran, Indonesia, Bangladesh, Pakistan, Tajikistan, Turkey, Tunisia, Chad, Senegal, Sierra Leone, Sudan, South African Sahara, Iraq, Oman, Gambia, Qatar, Malaysia) , Mali, Morocco, Egypt and Nigeria) and the time domain of the research is between 2005 and 2019. Using MATLAB software, the data was analyzed through the soft panel transition regression (PSTR) approach, and the results of the analyzes show that There is a non-linear relationship between the stock index and the development of the industrial sector in Islamic countries.

This paper attempts to explain the importance of small and medium-sized enterprises in the economy and to highlight their main facing challenges, in particular the “financial challenge". The present paper seeks to analyze the impact of small and medium-sized industries on the growth of industrial value added in Iran’s economy for 22 ISIC codes during the period of 2005-2014.The main findings of this study indicate that the growth of value added of small and medium-sized industries has a significant positive effect on the growth of value added of industries with ten employees and more; the growth of innovation level in small and medium-sized industries may have a significant positive effect on the growth of value added of this group of industries, and the growth of openness of Iranian economy can affect the growth of value added of industries with ten employees and more, positively; but it has a negative effect on the growth of value added of small and medium-sized industries. Furthermore, it is suggested that in order to boost and facilitate the economic activities of small and medium sized enterprises, several issues should be considered including“promoting the non-bank financing methods”, “providing effective support for innovative projects”, “implementing industrial export development programs”, and “providing industrial advisory services, in particular financial advisory services”.

Lack of liquidity management of banks is one of the most important risks for any bank and lack of attention to liquidity risk leads to irreparable consequences. Preventing liquidity risk requires a comprehensive measurement method but liquidity risk is complicated issue, and this complexity makes it difficult to provide a proper definition. In addition, defining liquidity risk determinants and formulation of the related objective function to measurement its value is a difficult task. To address these problems and assess liquidity risk and its key factors, in this study we propose a model that uses artificial neural networks and Bayesian networks. Design and implementation of this model includes several algorithms and experiments to validate the model. In this paper, we have used Levenberg-Marquardt and Genetic optimization algorithms to teach artificial neural networks. We have also implemented a case study in Bank Mellat to demonstrate the feasibility, efficiency, accuracy and flexibility of the research liquidity risk measurement model.

Today To continue their economic life, financial institutions are required to adopt e-banking methods in order to be more competitive, reduce operating costs, increase profitability, and improve the quality of customer service. Electronic services and the development of e-banking are a big step towards reducing costs, reducing government spending and even controlling cost. This study aims to investigate the effect of e-banking in reducing banking operating costs and reducing government spending by using a random dynamic general equilibrium and considering the economic sectors of households, enterprises, government and monetary authority and information of private and public banks. To study in the period of 1375-1396. The results indicate that the use of electronic payment and receipt tools will lead to further reductions in bank costs, as well as lower energy prices and government spending.

 The present study uses the Generalized System Torque Model (SGMM) and dynamic panel data (PANEL VAR) to investigate the impact of macroeconomic, financial, economic and economic crises on business cycles of selected developing and developed countries over time. 2013-2019, 1392-1398. In this paper, the effect of independent variables (liquidity risk, return on assets, capital adequacy ratio, etc.) on business cycles in selected countries through the output gap variable using the Hadrick Prescott filter is used to evaluate the results of the model. Liquidity risk, lending facility growth rates and financial crises have a negative impact on the output gap, while return on assets, capital adequacy ratio, crude oil prices, exchange rates and the development of financial markets have a negative impact on periods. Have left the trade of selected countries.The results of the study of the reactions of instantaneous reaction (IRF) and analysis of variance for developed countries show that a standard deviation in terms of oil price index and exchange rate on the output gap, these variables show a decrease of up to two periods. Increased development of financial markets and banking health has continued, after 2 periods of shock effect of oil prices and exchange rates over time on the output gap of developed countries will be minimized.Also for developing countries; a standard deviation from The area of ​​oil price index and exchange rate on the output gap, these variables have increased up to two periods and after 4 periods, has decreased, in other words, the effect of oil prices on the production of developing countries shows that in periods Rising oil prices, investment and production have increased, and conversely, when oil revenues fall, we see a decline in production, in other words, rising oil revenues are largely unmanaged, in other words, long-term investments are spent on short-term expenditures. It has resulted in nothing but inflation and increased liquidity for these countries.

The main purpose of this study is to investigate and identify the factors affecting the exchange cost of the stone sector. For this purpose, while examining the literature, the factors affecting the exchange cost of the stone sector in Iran were calculated and then, using the Delphi method, the impact of the calculated factors was investigated. The members of the Delphi panel included 11 activists and experts active in the private and public sectors who had sufficient expertise and experience in the field of stone. In the first stage, 13 items from the experimental literature were provided to the panel members within the framework of the designed questionnaire, and the analysis of the results of the questionnaires in this stage emphasizes removing one of the existing factors and adding 4 new factors to the questionnaire. In this study, Kendall coefficient criterion has been used as an indicator to examine the consensus in the questionnaires and based on this criterion, to achieve the result, three stages of questionnaire distribution and survey of panel members have been done. The research results emphasize the impact of institutional factors on the cost of exchanging stone in the country. Also, according to the elites of the rule of law and the implementation of contracts, barriers to entry of foreign investors and the size of the government are the most important factors affecting the cost of exchanging stone in the country, respectively.

Today, the cost of litigation is considered one of the serious obstacles to fair legal proceedings, and in some cases, it has prevented people from accessing civil justice. The annual increase in court costs has made natural and legal persons less able to financially file lawsuits and exercise their rights traditionally by referring to the judiciary and litigation. This is one of the major challenges for governments in achieving economic, social and civil justice. Because on the one hand, the government is facing an increase in the costs of hardware and software costs such as providing physical space and manpower for the judiciary. On the other hand, increasing lawsuits and the number of lawsuits need to resolve disputes through compromise and arbitration by Out-of-court institutions with a restorative justice approach are inevitable. In our country, Iran, the Dispute Resolution Council as a quasi-judicial institution with a conciliatory approach has played an effective role in reducing the cost of litigation through a fair trial with a restorative justice approach. The present article in three speeches on the impact of restorative justice process and out-of-court institutions in reducing the trial costs are paid.