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基于大数据的金融风险预测与防范对策研究

Research on Countermeasures of Forecast and Prevention of Financial Risk Based on Big Data

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【作者】 邢晟王珊珊

【Author】 XING Sheng;WANG Shan-shan;School of Economics and Management, Zhengzhou University of Light Industry;

【机构】 郑州轻工业学院经济与管理学院

【摘要】 在这个"数据为王"的时代,网络化和数据化的不断加强使得大数据与金融日益融合,大数据已成为金融的核心资产。金融经营天生就是风险经营,研究如何通过运用大数据来更好地预测和防范金融风险具有十分重要的意义。首先介绍大数据的概念、特征,探讨了大数据环境下的金融风险,结合大数据在金融风险防控中的成功案例,分析运用大数据进行金融风险预测与防范的优势,最后总结出关于金融风险的具体有效的预测体系和防范对策。

【Abstract】 In this era of "data is king", the continuous strengthening of network and datamation has led to increasing integration of big data and finance. Big data has become key asset of finance, and financial management and operational risk are becoming more and more closely. Therefore, forecasting and preventing financial risk by using big data have great significance.In this paper, the authors firstly introduced concept and features of big data, then discussed financial risk in condition of big data environment. Combining successful cases of big data in prevention and control of financial risks, the authors analyzed the advantages of forecasting and preventing financial risk by using big data, and came to a conclusion specific and effective forecast system measures on financial risks.

  • 【文献出处】 科技创新与生产力 ,Sci-tech Innovation and Productivity , 编辑部邮箱 ,2018年03期
  • 【分类号】F832;TP311.13
  • 【被引频次】11
  • 【下载频次】597
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