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Listed company finance early warning method based on netizen sensor big data

A sensor and big data technology, applied in instruments and other directions, can solve problems such as the lag of financial indicators, the disconnection of early warning models, and the inability to clarify the sensitive relationship of non-financial indicators.

Inactive Publication Date: 2016-10-05
宋彪 +1
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  • Claims
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AI Technical Summary

Problems solved by technology

The financial early warning model based on financial indicators, due to the lag, incompleteness and subjectivity of financial indicators, makes the early warning model seriously out of touch with the actual application
Some models that consider non-financial indicators, due to the difficulty of obtaining indicators, non-financial indicators have not been systematically studied, and it is impossible to clarify the sensitive relationship between the combination of non-financial indicators to the enterprise, resulting in financial warnings that consider non-financial indicators Model applicability is not strong

Method used

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  • Listed company finance early warning method based on netizen sensor big data
  • Listed company finance early warning method based on netizen sensor big data
  • Listed company finance early warning method based on netizen sensor big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0007] Screen the financial indicators of the enterprise, and select effective financial indicators to prepare as the input variables of the enterprise financial early warning nonlinear support vector machine;

[0008] Using netizens as corporate sensors, the signals of the sensors are collected and fused. Use crawlers to capture all the news, blogs, comments and other content of enterprises on the Internet, count the relevant frequency, and conduct text analysis of financial and economic dictionaries, and statistics reflect the positive, neutral and negative values ​​​​of Internet users' sentiments towards enterprises. Some variables will also be used as input variables of the non-linear support vector machine for corporate financial early warning;

[0009] Taking the enterprise ST situation as the output variable of the enterprise financial early warning nonlinear support vector machine;

[0010] Compared with the enterprise financial early warning method based on financial...

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Abstract

The present invention is an enterprise financial early warning method based on the big data of Internet users' sensors, including: a method of collecting and merging signals using Internet users as enterprise sensors, collecting information on the entire network of the enterprise, performing frequency statistics on relevant information of the enterprise and based on a dictionary in the field of finance and economics Semantic analysis, introducing big data variables into the enterprise nonlinear support vector machine early warning model combined with financial indicators. Using this method can be more accurate than traditional financial early warning methods.

Description

technical field [0001] The invention is a financial early warning method for listed companies based on big data from Internet users' sensors, and belongs to the field of financial early warning. Background technique [0002] The outbreak of the economic crisis has made corporate financial early warning more and more important. The financial early warning model based on financial indicators, due to the lag, incompleteness and subjectivity of financial indicators, makes the early warning model seriously disconnected from the actual application. Some models that consider non-financial indicators, due to the difficulty of obtaining indicators, non-financial indicators have not been systematically studied, and it is impossible to clarify the sensitive relationship between the combination of non-financial indicators to the enterprise, resulting in financial warnings that consider non-financial indicators Model applicability is not strong. With the popularization of Internet appl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/00
Inventor 宋彪朱建明
Owner 宋彪
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