MuSu: A medium-term investment strategy by integrating Multifactor model with industrial Supply chain

Author:

Sun Yunchuan12,Liu Lu12,Fang Jingyu12,Zeng Xiaoping12,Wan Zijun12

Affiliation:

1. International Institute of Big Data in Finance, Business School, Beijing Normal University, 19, Xinjiekouwaida Street, Haidian, Beijing 100875, P. R. China

2. The Experimental High school attached to Beijing Normal University, Erlong-Road 14, Xicheng, Beijing 100032, P. R. China

Abstract

Most experts try their best to enhance investment performance of multifactor strategy by appending new useful factors or by optimizing existing factors. However, few people take the supply chain into consideration during multifactor strategy designing. Indeed, supply and demand relationships in the industry can reflect the running situation of the relevant companies, so the relationships would be efficient in stock choosing. In this work, we propose a midterm strategy of multifactor, named MUSU, by introducing the industrial supply chain into the multifactor model. We verify the model by taking the industry of new Energy Vehicle as Example. The results show that MUSU performs much better than the traditional models, no matter with market value choosing mechanism or not. It reveals that the introduction of supply chain in multifactor model considerably improves multifactor strategy’s profitability and stability.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Materials Science (miscellaneous)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Reinforcement Learning for Adaptive Stock Trading;Journal of Organizational and End User Computing;2024-01-07

2. Going Global in the Digital Era;Journal of Organizational and End User Computing;2023-12-15

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