Focusing on core competencies of human powers will improve the performance of today’s organizations. Now, if focusing on the competencies of the human power is so important that it makes the organization’s performance superior, identifying and focusing on the competencies of managers should be at the top of the priorities, If we add to this prioritization and importance, the important area of the mission and the scope of influence of the counter-intelligence organizations of the armed forces of the Islamic Republic of Iran, It will definitely lead the mind of every fair investigator to the increasing importance of identifying and rating the competencies of managers and commanders. In the meantime, one of the most important factors of the preference of the competency pattern of managers over other patterns in an ideological country with a divine and religious nature is first the difference in values and then specialized knowledge, professional skills, and etc. In the conventional view of social science thinkers and experts in the West, most of the instrumentalist view is towards qualitative concepts and factors, and of course human-centered development is devoid of spiritual and holy values and outside the values of monotheistic and divine system. From this point of view, a better understanding of the security managers’ qualifications according to Islamic teachings seems necessary. This research aims to identify the value competencies of security managers, which is appropriate to that, through the case-contextual method, in addition to collecting information from the library and field method, 13 security experts have been interviewed. The results obtained with a questionnaire based on the Likert scale including 44 indicators were completed by 133 members of the statistical community, whose validity was confirmed through the judgment of experts and its reliability through Cronbach’s alpha, and in the analysis and weighting Its merits have been exploited by the software (SPSS). The indicators of self-confidence and self-belief, insight (political, social and revolutionary), religious and ideological beliefs, and the proud of being an anonymous soldier of Imam Zaman (p. b. u. h. ), from the viewpoint of members of the statistical sample play a role as the most important influencing factors in the value competencies of security managers.

‎In this paper‎, ‎we calculate the Expected values of the first and second Zagreb indices‎, ‎denoted as $\textbf{E}\left(M_1\right)$ and $\textbf{E}\left(M_2\right)$ respectively‎, ‎as well as the Expected value of the forgotten index‎, ‎$\textbf{E}\left(F\right)$‎, ‎for two models of random bipartite graphs‎. ‎To evaluate our findings‎, ‎we establish the growth rate by demonstrating that for a random bipartite graph $G$ of order $n$ in either model‎, ‎the Expected value of $M_1(G)$ is $O\left( n^3 \right)$‎. ‎Furthermore‎, ‎we prove that the Expected values of $M_2(G)$ and $F(G)$ are both $O\left( n^4 \right)$‎.

One of the most important factors of economic development is optimum allocation of resources especially financial resources. Basically, capital market facilitates the buying and selling of securities such as shares and bonds. Hence, the main question of the present research is whether stock market price is near to intrinsic value of food and beverages industries groups stock in Iran or not. Like any other assets, the value of financial assets is equal to the present value of the stream of cash flow called intrinsic value. For valuation of shares, the model of present value has been used in this paper. In order to answer the research question, we test the equality of average of market value to the present value of stock. The results show that stock market price is bigger than the intrinsic value. Hence, wecanconclude that there is no systematic relationship between dividends and stock market price in the Stock Exchange Market.

value at risk and Expected shortfall are the two most popular measures for calculating financial risk. To calculate these measures (value at risk and Expected shortfall) there are many approaches, which can be divided into two main categories; parametric and non-parametric. In parametric approach it is supposed that the distribution of asset return belongs to a specific class of distributions. For some distributions we can claculate easily the mentioned measures. In this paper the the relation of epected shortfall has been proved for four symetric distribution.

In this research, the VaR and ES measures is estimated and compared for Tehran security exchange (TSE) and international stock markets by using the conditional EVT based peaks over threshold (POT). In order to obtain independent data, we use a vector autoregressive (VAR) and GARCH model to filter out any serial correlation and heteroskedasticity. Our data are the logarithmic daily returns for the period 2006-2015. We find that the Dubai financial market (DFMG) has the highest VaR and ES for both the lower tail and upper tail. In contrast, the Tehran security Exchange (TSE) has the lowest VaR and ES for both tails. Also, except to DFMG index, Shape parameter (ξ ) is positive for both tails of all indicies and indicate that tails on both sides of the return distribution are heavy.

One of the most effective tools for risk coverage in catastrophic events which widely used in the world is Catastrophe bonds. The purpose of this paper is to determine the optimal Expected rate of return for investors of these securities, so that they become attractive for them. This paper uses fire insurance data during 1949-2009, and then applies the Peaks over Threshold (POT) method for measuring the catastrophe bonds value at risk. The u threshold has been selected with using normal power approximation, and the difference between it and the VAR higher than this threshold has been considered as catastrophe bonds risk. Then, considering the alternative investment opportunities such as the Tehran stock exchange and gold and real estate market, using the Sharpe ratio we determine the these securities optimal Expected rate of return. Each of these investment opportunities risk is calculated based on the multivariate GARCH model. The results show that the Expected rate of return on these bonds must be at least 29.32%.