-
Open Access Article
1 - Experimental Survey of the Effect of Moral Intelligence on Free Riding: A dynamic Game with Complete Information Approach
Omolbanin Jalali zahra nasrollahi majid hatefiThe purpose of this article is to investigate the effect of moral intelligence on free riding. To this end, a two-stage team game with three individuals was designed by providing an experimental environment and a sample of 186 people from the target community (students MoreThe purpose of this article is to investigate the effect of moral intelligence on free riding. To this end, a two-stage team game with three individuals was designed by providing an experimental environment and a sample of 186 people from the target community (students from Yazd and Ayatollah Haeri Meybod). The results showed that moral intelligence has a significant effect on free riding. In fact, increasing moral intelligence reduces free riding. Based on the results, it is suggested that the level of moral intelligence should be considered in attracting workforce in public and private jobs; in addition, it is intended to promote the moral intelligence of employee in order to increase participation in the work and, consequently, productivity. Manuscript profile -
Open Access Article
2 - Impact of the Government Expenditure on Private Consumption and Investment in VAR and FAVAR Model
mansour khalili araghi Hassan SharifiThe aim of this paper was survey of the government's current and development expenditure impact on private consumption and investment in Iran economy. In this study, Factor Augmented Vector Autoregressive method was used on the base of seasonal data frequency in the per MoreThe aim of this paper was survey of the government's current and development expenditure impact on private consumption and investment in Iran economy. In this study, Factor Augmented Vector Autoregressive method was used on the base of seasonal data frequency in the period 1370-1394.The results showed that the government's current and development expenditure have a complementary effect on private consumer spending; but government expenditure in two current and development sectors has had a substitutional effect on private investment. According to the results, it is suggested that in order to boom and economic development in various economic sectors, the government deal with infrastructure expenditure and on the other hand, help by increasing private investment subject to no budget deficit increase. Manuscript profile -
Open Access Article
3 - بررسی اثر نوسانات قیمت نفت خام بر شاخص بازدهی بورس اوراق بهادار تهران
محمد علی خطیب سمنانی معصومه شجاعی مسعود شجاعی خسروشاهی -
Open Access Article
4 - Examining the Efficiency Models, Genetic Algorithm under MSV Risk and Particle Swarm Optimization Algorithm under CVAR Risk Criterion in Selection Optimal Portfolio Shares Listed Firms on Stock Exchange
Dariush Adinevand Ebrahim Ali Razini Mahmoud Khodam Fereydoun Ohadi Elham Elsadat HashemizadehAbstract Choosing the optimal stock portfolio is one of the main goals of capital management. Today, There are several tools and techniques for measuring portfolio risk and selecting the optimal stock portfolio. In this article, using data of 15 shares selected by purp MoreAbstract Choosing the optimal stock portfolio is one of the main goals of capital management. Today, There are several tools and techniques for measuring portfolio risk and selecting the optimal stock portfolio. In this article, using data of 15 shares selected by purposeful sampling method from the top companies of Tehran Stock Exchange Organization including; PKOD, ZMYD, BPAS, FOLD, MKBT, GOLG, MSMI, PTAP, SSEP, AZAB, FKAS, NBEH, PFAN, GMRO and GSBE, the First return of these stocks are calculated daily in the period of 31/3/1394 -31/3/1399 for 5 years for 1183 days and then using MATLAB software models The Metaheuristic Optimization of the Genetic Algorithm under the MSV Risk Criterion and the Particle Swarm Algorithm under the CVaR risk Criterion are Compared. The results show that the genetic algorithm model under MSV risk criterion is more efficient and less risky, therefore the genetic algorithm model under MSV risk criterion is more efficient than the particle swarm algorithm model under CVaR risk criterion. Manuscript profile