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Listed enterprise complaint-related risk identification algorithm

A risk identification and risk technology, applied in the field of algorithm models, can solve problems such as threats to the operation of listed companies and damage to the interests of investors

Pending Publication Date: 2022-03-25
张泽亮 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] operating income, which poses a great threat to the operation of listed companies and seriously damages the interests of investors

Method used

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  • Listed enterprise complaint-related risk identification algorithm

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Embodiment Construction

[0017] Such as figure 1 as shown, figure 1 It is a schematic diagram of the work flow of the listed company litigation-related risk clustering identification model according to the present invention.

[0018] The specific usage and working methods of the litigation-related risk clustering identification model are as follows:

[0019] The raw data of listed companies in the observation window period is collected from Qixinbao, and companies with missing data need to be eliminated;

[0020] After sorting out the original data, three fields of the RFM model will be obtained: time interval R, number of cases involved F, execution amount M;

[0021] Normalize the data of the three characteristic indicators so that the value range is converted between 0 and 1;

[0022] The R index is processed in the same direction and replaced by 1-R, so that the larger the revised R index, the greater the risk of being involved in litigation;

[0023] Use the K-means cluster analysis algorithm...

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Abstract

The invention relates to a listed enterprise complaint risk identification algorithm. The method has the functions that after original data of an observation window period is collected and cleaned, data of three characteristic indexes are obtained through an RFM model, the number of days from a latest case of a company to the current is taken as an index R, the number of cases involved is taken as an index F, the accumulated execution amount is taken as an index M, and the data of the three characteristic indexes are subjected to normalization and homodromous processing; the smaller the index of the time interval R is, the higher the complaint-related risk of the enterprise is; the larger the index of the case-related quantity F and the execution amount M is, the higher the complaint-related risk of the enterprise is. And dividing companies into four groups by using a K-means clustering analysis algorithm, and finally generating a visual chart of four different complaint-related risk types, namely, a high complaint-related risk, a middle complaint-related risk, a middle-low complaint-related risk and a middle-high complaint-related risk. The method is suitable for complaint risk identification of listed companies, and a scientific and efficient tracking and supervision mode is provided.

Description

technical field [0001] The invention relates to an algorithm model, in particular to an algorithm for identifying risks involved in litigation of listed companies. Background technique [0002] The stock market is an important part of the entire national economy and plays a key role in supporting the economic development of a country. As of December 31, 2021, there are 4,697 A-share listed companies in my country. [0003] With the development of emerging technologies such as artificial intelligence, risks in the financial market are becoming more diversified and concealed. In recent years, the number and amount involved in lawsuits of listed companies have risen sharply, making corporate litigation one of the important factors affecting the survival of companies. According to statistics, the amount involved in some listed companies has exceeded their net profit of the previous year or even exceeded their net profit of the previous year. [0004] This poses a great threat...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q40/04G06Q50/18G06F16/26G06K9/62
CPCG06Q10/0635G06Q40/04G06Q50/18G06F16/26G06F18/23213
Inventor 张泽亮曹啸高见君王艺霏
Owner 张泽亮
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