摘要
金融大数据和大数据金融,是两个具有不同内涵的概念,我们有必要在区分各自内涵的基础上,通过分析金融大数据构成来说明用于金融决策的信息来源,通过分析大数据金融这一动态过程来论证大数据、互联网和人工智能等的融合对金融决策行为的重塑。对于大数据金融,无论是分析它的操作过程还是应用场景,都必须在对大数据金融实施平台和技术条件配置作出分析的同时,对云计算、机器学习等人工智能手段作用于大数据金融发展的过程进行分析。本文在考察金融大数据构成的基础上,力图通过大数据金融的研究来揭示将来人类金融决策行为有可能产生的一般机理。
"Financial big-data"and"big-data for finance"are two concepts with different connotations,for which it’s necessary for us to distinguish the difference between them so that we can find out the information resource which functions in the process of human financial choice-making with structural analysis of the"financial big-data",so that we can demonstrate the affect brought by the aggregation of the big-data,internet and AI on remodeling the financial behavior,with the dynamic analysis of the"big-data for finance".As to the big-data for finance,the research and investigation for that,no matter what we focus on-its operation process or application scenario,should involve the analysis of the financial implementation platform and configuration of technical condition,as well as the analysis of the development process of bigdata for finance which is driven by artificial intelligence like cloud computing and rote learning.In summary,on the basis of the investigation of the form of the financial big-data,with the research of the big-data for finance,this paper strive to reveal a possible and general mechanism of prospective human choice-making in finance.
出处
《学术月刊》
CSSCI
北大核心
2019年第12期33-41,共9页
Academic Monthly
