Research on Optimal Portfolio of Financial Investment Based on Genetic Algorithm

Bahao Li
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引用次数: 1

Abstract

The development of financial industry depends on capital from the real economy, manufacturing industry and service industry and so on, but also on optimal portfolio of investment itself. As the lifeblood of the whole national economy, the stability and development of the financial industry have exerted a great impact on the economic situation of one country. The shortage of funds have caused some difficulties to the production and management of major enterprises and hindered their rapid development. In the case of funds shortage, how to make the enterprises go beyond the limit of capital and maintain smooth operation rely on the method of genetic algorithm to study the optimal portfolio of financial investment. Investment incomes are maximized via the optimization and portfolio, while investment planning are dealt with genetic algorithm. This paper first describes the steps of genetic algorithm, explains in detail how to use genetic algorithm to make the optimal portfolio of financial investment, and then describes the application of genetic algorithm in financial investment planning of enterprises.
基于遗传算法的金融投资最优组合研究
金融业的发展不仅依赖于实体经济、制造业和服务业等方面的资金,也依赖于自身的最优投资组合。金融业作为整个国民经济的命脉,其稳定与发展对一个国家的经济形势有着很大的影响。资金短缺给大企业的生产经营带来了一定的困难,阻碍了企业的快速发展。在资金短缺的情况下,如何使企业超越资金的限制,保持平稳运行,依靠遗传算法的方法来研究财务投资的最优组合。投资收益通过优化和组合实现最大化,投资规划采用遗传算法处理。本文首先介绍了遗传算法的步骤,详细说明了如何利用遗传算法进行财务投资的最优组合,然后介绍了遗传算法在企业财务投资规划中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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