دانلود رایگان مقاله انگلیسی طراحی یک سیستم اطلاعات مدیریت برای کنترل ریسک مالی - اشپرینگر 2018

Abstract

This paper presents an evaluation of the financial system risk quantitatively and a management information system designed to improve financial risk management. Based on the recognition of risk sources for all kinds of financial institutions and financial markets, we use a matrix covering financial risk probability and related damage to assess local risks and carry out risk classification, and use self-organizing mapping neural network model to evaluate the overall risks. Also, by means of radio frequency identification technology and big data analytics platform—Hadoop platform, a management information system is built which could perform three core functions: real-time monitor, analysis and evaluation, and automatic control, which would help regulators to realize the whole process and comprehensive intelligent management for financial risk sources.

Conclusion

This paper introduced emerging technologies such as radio frequency identification (FRID) technology, large data management technology based on Hadoop platform, information system management technology into financial risk management system. We put forward a risk source identification and evaluation system for financial system. The risk matrix is used to evaluate various risk sources, SOM neural network is used to evaluates the financial risk system, provide a sophisticated and comprehensive risk management devises from the local and overall aspects. By means of radio frequency identification technology and big data analytics platform—Hadoop platform, a management information system is built which could perform three core functions: real-time monitor, analysis and evaluation, and automatic control, which would help regulators to realize the whole process and comprehensive intelligent management for financial risk sources.