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资金市场机构大数据信息价值研究 被引量:3

Capital Market Institutions Big Data Information Value Creation Mechanism,Problems and International Experience for Reference
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摘要 【目的/意义】运用大数据已经成为资金市场参与机构开展自身投融资业务的重要路径及工具,例如银行机构、券商机构等纷纷利用大数据开展客户信息搜集、竞争对手情报甄别及汇总,业务拓展和产品创新工作。【方法/过程】文章从大数据质量、预测准确性、法律合规及数据欺诈等四个层面着手,通过分析资金市场参与机构运用大数据实现价值创造的机制,发现参与机构在利用大数据过程中存在一些问题。【结果/结论】基于国际经验,提出了相应的对策与建议。 【Purpose/significance】The use of large data has become an important path and tool for the investment and fi-nancing business of the financial market participating agencies. For example, banking institutions, stock brokerages and in-stitutions have used large data to carry out customer information collection, competitor intelligence screening and aggrega-tion, business expansion and product innovation.【Method/process】 The paper analyzes the existing problems from four as-pects: big data quality, prediction accuracy, legal compliance and data fraud, to find some problems in the process of mak-ing use of large data.【Result/conclusion】The paper Based on international experience,puts forward corresponding counter-measures and suggestions.
作者 薛媛 XUE Yuan(School of Accounting,Southwestern University of Finance and Economics,Chengdu 611130,China;School of Accounting,Henan University of Engineering,Zhengzhou 451191,China)
出处 《情报科学》 CSSCI 北大核心 2018年第8期101-105,共5页 Information Science
关键词 资金市场 大数据 信息价值 国际经验 financial market large data information value international experience
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