Optimal allocation of financial resources is a critical factor in investment decisions. A proper action in this regard requires the existence of appropriate bases and investing tools and techniques in the capital mark...Optimal allocation of financial resources is a critical factor in investment decisions. A proper action in this regard requires the existence of appropriate bases and investing tools and techniques in the capital market. One of these effective methods which is considered as the basis of new investment strategies, in addition to multiple unique features, is called index tracking. By considering the undeniable role of this approach in the future of capital markets, its investigation and implementation have been considered in this research and so the problem of optimal Tehran Exchange Dividend Price Index （TEDPIX） tracker fund selection is studied using a hybrid approach of genetic algorithm and quadratic programming. Neural network was applied to simulate unavailable data. Results illustrate the exactness and acceptable performance of the formed portfolios in several iterations such that achieving similar and even better performance compared to the index is a distinctive characteristic of the proposed algorithm.展开更多
Ever since involvement of the Binhai New Area into the national development strategy, carrying out highly effective financing promptly will play the pivotal role to implement its economic development strategy smoothly...Ever since involvement of the Binhai New Area into the national development strategy, carrying out highly effective financing promptly will play the pivotal role to implement its economic development strategy smoothly. In this paper, based on nature of regional financing, the descriptive analysis for the financing condition of the Binhai New Area is carried on. And also based on financing restraint theory and the neoclassic investment model, a real diagnosis analysis for the financing constraint condition of the Binhai New Area is studied. Finally, the existed questions in it are pointed out, and propose the correlative improvement countermeasure is put forward.展开更多
文摘Optimal allocation of financial resources is a critical factor in investment decisions. A proper action in this regard requires the existence of appropriate bases and investing tools and techniques in the capital market. One of these effective methods which is considered as the basis of new investment strategies, in addition to multiple unique features, is called index tracking. By considering the undeniable role of this approach in the future of capital markets, its investigation and implementation have been considered in this research and so the problem of optimal Tehran Exchange Dividend Price Index （TEDPIX） tracker fund selection is studied using a hybrid approach of genetic algorithm and quadratic programming. Neural network was applied to simulate unavailable data. Results illustrate the exactness and acceptable performance of the formed portfolios in several iterations such that achieving similar and even better performance compared to the index is a distinctive characteristic of the proposed algorithm.
基金This paper is supported by the Philosophy and Social Science Foundation of Tianjin City （No. TJ05-GL010）, and supported by the Two Groups ＂Binhai New Area Development Study＂ and ＂Construction of Philosophy and Social Sciences＂ in Tianjin City, and also supported by Tianjin Scientific and Technologic Development Strategy.
文摘Ever since involvement of the Binhai New Area into the national development strategy, carrying out highly effective financing promptly will play the pivotal role to implement its economic development strategy smoothly. In this paper, based on nature of regional financing, the descriptive analysis for the financing condition of the Binhai New Area is carried on. And also based on financing restraint theory and the neoclassic investment model, a real diagnosis analysis for the financing constraint condition of the Binhai New Area is studied. Finally, the existed questions in it are pointed out, and propose the correlative improvement countermeasure is put forward.
