TY -的A2蔡Sang-Bing盟——刘,帅AU -肖,Chenglin PY - 2021 DA - 2021/11/28 TI -应用程序和优化算法的比较研究在金融投资组合问题SP - 3462715六世- 2021 AB -投资组合理论主要研究如何优化的分配资产预期收益最大化的前提下,减少投资风险。针对金融市场的不稳定,一个多样化的投资组合可以帮助控制投资组合的损失。除了关注资产配置的安全并返回,我们不能忽视的流动性资产,也就是说,他们的流动性。高流动性产品添加到资产配置,如股权投资,可以更好的控制财务现金流,以应对突发事件。的一种方式使证券化资产流动资产和卖给市场。为了振兴股票资产,良好的投资效率是金融投资的必然选择。各种金融产品及其衍生产品继续进入人们的视野。有许多金融产品在现实中,和优化投资组合可以带来较高的经济效益。本文的目的是研究金融投资组合优化算法的应用问题。(1)货币政策仍然谨慎和中性。 It is not easy to expect flooding, but flexibility is required in complex situations. (2) Financial resources are tilted towards innovation and transformation and capital markets, which is beneficial to the development of capital markets in the medium and long term. (3) Unblocking the transmission mechanism is conducive to lenient credit and tapping the wrong killing opportunities in private enterprise debt. (4) Banks and other financial institutions have moderate pressure to give benefits to entities, but in the long run, the interests of the two are consistent. (5) Finance risk prevention will continue, orderly breaking the rigid exchange and reshaping the financial structure and ecology. (6) The pace of opening up of the financial industry has accelerated, and the bond market investor structure has improved. In this paper, we establish different optimization schemes to compare and study the portfolio problem and then use MATLAB to solve the modeling and programming problem, calculate the highest return rate and the lowest risk value before and after optimization, and then make a comparative analysis to get a better optimization scheme. The results show that the genetic algorithm model is superior to the quadratic programming method in terms of risk control. The minimum risk of portfolio optimization through genetic algorithm has been reduced by about 40%, and the maximum return has increased by about 25%. The comprehensive optimization effect is better than the quadratic planning method and ultimately can obtain higher economic benefits. It can be seen that the optimization algorithm is of great significance for the comparative study of financial portfolio problems. SN - 1574-017X UR - https://doi.org/10.1155/2021/3462715 DO - 10.1155/2021/3462715 JF - Mobile Information Systems PB - Hindawi KW - ER -