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Monitoring Data Management Information System for Securities Market

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Abstract

Long-term monitoring the key indicators of the securities market could detect market risk structure and risk behaviors in real time and ensure the safe and smooth operation of the securities system. In view of the large number monitoring indicators, high frequency sampling data acquisition in the online monitoring system, it is necessary to use advanced information management tools to efficiently manage and utilize the massive data, as the scale of securities market grows geometrically. Based on the online monitoring of BP neural network, this paper develops a management information system for the monitoring data of the securities market of China to realize the structure analysis and prediction of market performance and market risk structure and carry out automatically early warning and alarm with reference to pre-set threshold parameters, which provides a technical platform for real-time query, analysis statistics, prediction and alarm of market risk structures.

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Acknowledgements

The authors acknowledge the National Social Science Foundation of China (Grant: 16FJL011) and China University of political Science and Law (Grant: 14ZFG79002).

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Authors and Affiliations

  1. Business School, China University of Political Science and Law, 27 FuXue Road, Changping District, Beijing, 102249, China

    Yong Li

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  1. Yong Li
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Correspondence to Yong Li.

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Li, Y. Monitoring Data Management Information System for Securities Market. Wireless Pers Commun 103, 319–326 (2018). https://doi.org/10.1007/s11277-018-5444-8

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  • DOI: https://doi.org/10.1007/s11277-018-5444-8

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