دانلود رایگان مقاله انگلیسی نظارت بر سیستم اطلاعات مدیریت داده ها برای بازار اوراق بهادار - اشپرینگر 2017

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.

Conclusion

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. This monitoring data management information system could realize the efficient storage of mass monitoring data, comprehensive analysis, real-time query, statistics, and forecast the state of the risk structure and make early warning. Backend server includes raw data and image data receiving, processing, storage and backup, data remote transmission for the use of processing server and front desk query, a built-in programming procedures is designed to complete the foregrounding function. The foreground browser can monitor key indicator data acquisition and sensor network. Users could query the data online by sensor serial numbers, monitoring indicators, and they could make integrated query on history data for multiple indicators and different risk structure, and can also obtain the structural state time-varying analysis and multi-structural correlation analysis by using historical data query and comprehensive data query. The statistical report part can carry out data analysis over the same period of different year and the weekly, monthly, yearly reports. Moreover, it has the function of the data sorting for different indicators, and the data could be exported according to user requirements. In addition, the system is based on BP network to realize the prediction function of risk stress and risk structure, and to provide the guidance for the securities market operation in a safe and reliable status and to avoid any security risks.