数字经济的量化投资  

Quantitative Investment in the Digital Economy

作　　者：贺峰 陈冠杰 刘磊 刘映伶 Feng He;Guanjie Chen;Lei Liu;Yingling Liu(School of Information Engineering,Guilin Institute of Information Technology,Guilin Guangxi;Department of Mathematics,Guilin Institute of Information Technology,Guilin Guangxi)

机构地区：[1]桂林信息科技学院信息工程学院,广西桂林 [2]桂林信息科技学院数学教研部,广西桂林

出　　处：《运筹与模糊学》2025年第1期649-662,共14页Operations Research and Fuzziology

基　　金：桂林信息科技学院2024年校级培育项目:两类带终止的复发事件的半参数模型在生物医学领域的预测研究(XJ2024107)。

摘　　要：中国数字经济的发展取得了显著成就,形成了独特的增长模式。本研究通过综合运用关联度分析与层次分析法,确立了影响数字经济发展的关键因素指标体系,并采用灰色关联度分析法和BP神经网络评估了未来资金投入对数字经济整体发展的影响。鉴于研究中面临的数据量庞大、获取难度高及可能存在的数据缺失等问题,研究团队构建了合理的指标体系,有效合并了同类项,确保了数据处理的准确性。该研究不仅深化了对数字经济影响因素的理解,也为相关政策制定和实践操作提供了科学依据与重要参考。China has made remarkable achievements in the development of its digital economy,forming a unique growth model.In this study,the index system of key factors influencing the development of the digital economy is established by comprehensively using correlation analysis and analytic hierarchy process,and the impact of future capital investment on the overall development of the digital economy is evaluated by using the grey correlation analysis method and BP neural network.In view of the huge amount of data,the difficulty of obtaining and the possible lack of data in the research,the research team constructed a reasonable index system,effectively merged similar items,and ensured the accuracy of data processing.This study not only deepens the understanding of the influencing factors of the digital economy,but also provides a scientific basis and an important reference for relevant policy formulation and practical operation.

关 键 词：数字经济 灰色关联度 成交量 BP神经网络 

分 类 号：F49[经济管理—产业经济]