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        1 - The relationship between financial deepening and economic growth in South-West Asia region
        Zahra Afshari Hoda Jafari
        In this paper, the relationship between financial deepening and economic growth in 23 Countries Southwest Asia, which document the development prospects of Iran are considered during the period 2006-1990 has been investigated. First principles theoretical study and emp More
        In this paper, the relationship between financial deepening and economic growth in 23 Countries Southwest Asia, which document the development prospects of Iran are considered during the period 2006-1990 has been investigated. First principles theoretical study and empirical studies was conducted and then the actual performance of the financial sector and economy of these countries studied and compared has been. More articles in Econometrics model study asserts and applying a combination of models are estimated. Finally, Vector of causality between the finance section and economic growth in the form of a combination of data reviewed is located. The results indicate a positive relationship between financial deepening and economic growth in these countries with the causality of economic growth towards financial deepening have.  Manuscript profile
      • Open Access Article

        2 - Deviation from normal distribution and its impact on the differential value at risk
        Hojatollah Sadeghi Samaneh Dehghan Menshadi
        In the most of financial models it’s supposed that distribution of observations is normal and the Value at Risk (VaR) and other criteria of market risk are calculated upon this distribution. This is while observations follow abnormal distributions in reality. So t More
        In the most of financial models it’s supposed that distribution of observations is normal and the Value at Risk (VaR) and other criteria of market risk are calculated upon this distribution. This is while observations follow abnormal distributions in reality. So this study calculates Incremental Value at Risk (IVaR) with the assumption of being normal initially and then with regard to real distribution of data and finally compares the results of these two situations. The scope of this study consists of 42 companies present in financial sector of Tehran Stock Exchange during 2009 to 2013.The result show that by using IVaR criterion we can analyze the impact of each stock on creating the risk of portfolio and we can selected the optimal stocks. Also the results confirm this point that analysis of an portfolio’s sensitivity using IVaR criterion and based on that portfolio’s real distribution achieves more accurate and reliable results rather than it’s normal distribution. Manuscript profile
      • Open Access Article

        3 - Assessing the effects of the financial sector on entrepreneurship level in Iran and selected Islamic countries: A panel co-integration approach with cross-sectional dependence
        farzad rahimzadeh Alimohammad Abed
        Entrepreneurship plays a key role in the economic growth of countries and from the point of view of economists is introduced as a key factor in the production process and the driving force of the economy. Therefore, it is necessary to identify the factors affecting it. More
        Entrepreneurship plays a key role in the economic growth of countries and from the point of view of economists is introduced as a key factor in the production process and the driving force of the economy. Therefore, it is necessary to identify the factors affecting it. According to studies conducted in the field of entrepreneurship, financing entrepreneurial activities has been one of the factors affecting the level of entrepreneurship. Accordingly, in this study, using data related to Iran and selected Islamic countries in the period 2020-2000, the impact of financial sector indicators on the level of entrepreneurship has been studied. Based on the results of model estimation by data panel method, financial sector indicators have a positive and significant effect on the level of entrepreneurship and this effect is statistically significant at a significance level of 5%. Because the greater the amount of credit granted by the banking sector to the private sector and the greater the financial depth of the stock market, the ability of individuals and entrepreneurial firms to finance their activities through the banking network and the stock market increases and they are less financially constrained. Also, at a significant level of 5%, the impact of foreign direct investment, guidance education, population growth on the level of entrepreneurship was positive, but this impact is not statistically significant. In addition, the impact of secondary education, economic growth and per capita income on the level of entrepreneurship is positive and these effects are statistically significant at 5% significant level Manuscript profile
      • Open Access Article

        4 - The Estimation of Systematic Risk in Iranian Financial Sectors (ΔCoVaR Approach)
        samad hekmati farid Ali Rezazadeh ali malek
        Abstract The occurrence of last crisis has led to the consideration of systematic risk and it's transmission in theoretical and empirical point view. Hence, the main aim of this paper is to estimate and localize of systematic risk in financial sectors of Iran such as St More
        Abstract The occurrence of last crisis has led to the consideration of systematic risk and it's transmission in theoretical and empirical point view. Hence, the main aim of this paper is to estimate and localize of systematic risk in financial sectors of Iran such as Stock, Insurance and Bank sectors during the period of 1995-2015.  The quintile regression econometric approach has been used for estimating the difference conditional value at risk in these sectors. The main empirical findings of post estimation indicated that there is significant difference between Stock, Insurance and Bank sectors as main financial sectors. Moreover, the results of Fridman test as a method for ordering of variable status showed that, the systematic risk of insurance is high and risk of bank is low during the period of study. So, there is significant difference between orders of financial sectors in Iran over the period of study. Manuscript profile
      • Open Access Article

        5 - The Effect of Financial Development and Its Size on Economic Growth with a Nonlinear Approach in Iran
        Sedigeh Dodangeh Seyyed Shamsuddin Hosseini Farhad Ghaffari
        AbstractWhile it is economically well established that the financial sector is interrelated, empirical estimates of the growth of these textual results are generally presented. On the other hand, it will be different for several time series assessments at different leve More
        AbstractWhile it is economically well established that the financial sector is interrelated, empirical estimates of the growth of these textual results are generally presented. On the other hand, it will be different for several time series assessments at different levels of economic growth and in terms of time requirements, so it seems that estimating linear models to examine macro-relationships is challenging. The aim of this study was to investigate the relationship between the development and size of the financial sector in the Iranian economy with economic growth in the years 1350-1399 using the non-linear regression method of Astana. The results show that there are three different regimes for the effect of changes in financial sector size and financial development on economic growth. In economic growth rates, only financial differences affect economic growth. This effect in the second regime, ie between the economic growth rates of 0 to 8.6%, is weak but positive and significant, and in the economic growth rate above 8%, both financial size and financial development have a positive and significant effect on economic growth. Manuscript profile
      • Open Access Article

        6 - Determining the optimal response of Feynman-Kak stochastic-financial equation based on Jacobi and Irfoil expansion
        Sayed Mohammad AlaviSheshamd Shadan SediqBehzadi
        AbstractIn this paper, we solve the Feynman-Kac equation using the collocation method with Jacobi and Airfoil bases. This partial differential equation is one of the most important and widely used random equations in financial mathematics. Due to the increasing demand i More
        AbstractIn this paper, we solve the Feynman-Kac equation using the collocation method with Jacobi and Airfoil bases. This partial differential equation is one of the most important and widely used random equations in financial mathematics. Due to the increasing demand in applied sciences such as financial mathematics, economics and complexity in modeling, data analysis and calculation, significant efforts have been made in search of better mathematical models to obtain approximate solutions to the modeled equations in recent years. It is well established that many of the systems encountered in the new era cannot be represented by ordinary differential equations in the traditional way or by the model of random differential equations. This equation offers a solution for quadratic partial differential equations and stochastic differential equations. Applications of this formula in the field of random control, financial mathematics, risk analysis and related fields can be mentioned. In this paper, by applying numerical methods to the Feynman-Kac equation, nonlinear devices are obtained that can be solved by numerical methods for solving nonlinear devices, such as Newton's iterative method. Manuscript profile