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Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I

Research Article

Design of Financial and Economic Monitoring System Based on Big Data Clustering

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-28787-9_32,
        author={Kaili Wang and Yu Chen},
        title={Design of Financial and Economic Monitoring System Based on Big Data Clustering},
        proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2023},
        month={3},
        keywords={Big data clustering Financial economy Monitoring system Financial risk Financial network Dynamic correlation},
        doi={10.1007/978-3-031-28787-9_32}
    }
    
  • Kaili Wang
    Yu Chen
    Year: 2023
    Design of Financial and Economic Monitoring System Based on Big Data Clustering
    ADHIP
    Springer
    DOI: 10.1007/978-3-031-28787-9_32
Kaili Wang1,*, Yu Chen1
  • 1: School of Business, Nantong Institute of Technology
*Contact email: xllz13@126.com

Abstract

Aiming at the problem that the selection of financial and economic risk indicators is not comprehensive, resulting in excessive financial and economic operational risks, a financial and economic monitoring system is designed based on big data clustering. Financial and economic risks are risks that are formed and accumulated in the financial system in the process of economic cyclical and financial unbalanced development. According to its formation mechanism, complex network models are used to analyze the dynamic correlation of financial and economic risks. Select financial and economic risk indicators based on big data clustering, and strengthen the supervision of high-risk financial sub-markets such as stocks and foreign exchange markets. Establish a financial and economic monitoring system from three aspects of financial and economic revenue and expenditure, debt and external risks, and jointly determine the development trend of financial and economic risks. The test results show that the financial and economic monitoring system based on big data clustering can reduce the value at risk of operational risk, namely VaR value, and promote the balanced development of the financial market.

Keywords
Big data clustering Financial economy Monitoring system Financial risk Financial network Dynamic correlation
Published
2023-03-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-28787-9_32
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