A study of risk free and risky portfolio investment optimisation strategies under multi-objective constraints

Author:

Wang Zixu

Abstract

The purpose of portfolio investment is to maximise returns while minimizing risks. For investors with different risk attitudes, this research uses Economic Model Predictive Control (EMPC) to study the multi-objective securities portfolio problem and obtains a multi-objective securities strategy that guarantees the maximum return and the minimum risk under different risk attitudes through the tracking method, considering the return, risk, and other factors of the securities portfolio. Finally, the effectiveness of the strategy is verified by simulation, and an analytical method for selecting the optimal portfolio of securities is proposed.

Publisher

Darcy & Roy Press Co. Ltd.

Reference11 articles.

1. Tsun Fung Leung and Tsun Ho Leung. 2019. An Investigation of Graph Theory Application on Portfolio Investment. In Proceedings of the 2019 10th International Conference on E-business, Management and Economics (ICEME 2019). Association for Computing Machinery, New York, NY, USA, 180–183. https://doi.org/10.1145/3345035.3345090.

2. Fuyang Zhang, Yuhan Ma, and Shuhan Yu. 2022. Investment Model Based on LSTM Network Forecasting and Portfolio Investment. In Proceedings of the 2022 International Conference on E-business and Mobile Commerce (ICEMC '22). Association for Computing Machinery, New York, NY, USA, 119–124. https://doi.org/10.1145/3543106.3543126.

3. Siying Chen. 2023. Research on investment portfolio strategy based on intelligent optimization algorithm. In Proceedings of the 11th International Conference on Software and Information Engineering (ICSIE '22). Association for Computing Machinery, New York, NY, USA, 72–76. https://doi.org/10.1145/3571513.3571526.

4. T. Stoilov and V. Ivanova. 2003. Portfolio optimization of investment decisions on the securities market in Bulgaria. In Proceedings of the 4th international conference conference on Computer systems and technologies: e-Learning (CompSysTech '03). Association for Computing Machinery, New York, NY, USA, 431–436. https://doi.org/10.1145/973620.973692.

5. Guang Sun, Fenghua Li, Jiayi Ren, Hongzhang Lv, Yanfei Xiao, and Yingchao Wang. 2019. On data visualization for securities investment fund analysis. In Proceedings of the ACM Turing Celebration Conference - China (ACM TURC '19). Association for Computing Machinery, New York, NY, USA, Article 146, 1–11. https://doi.org/10.1145/3321408.3326674.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3