enterprise risk trust loss model based on Cox regression prediction

A regression prediction and model technology, applied in the field of information security, can solve problems such as difficult to satisfy enterprises

Inactive Publication Date: 2019-04-19
重庆誉存科技有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Enterprises, especially investors, pay attention to the future trend of enterprise risk changes in order to foresee the possibility of enterprise risk occurrence, while the existing credit risk assessment is to evaluate the current enterprise risk based on historical data, which is often difficult to meet the needs of enterprises, especially investors

Method used

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  • enterprise risk trust loss model based on Cox regression prediction
  • enterprise risk trust loss model based on Cox regression prediction
  • enterprise risk trust loss model based on Cox regression prediction

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Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0038] A kind of enterprise risk dishonesty model based on Cox regression prediction, described dishonesty model is to predict the dishonesty risk that enterprise will face in a period of time in the future; The dishonesty survival probability of described dishonesty model is denoted as f (D), with enterprise dishonesty characteristic Y is a covariate or an interaction item, and the construction method of the dishonesty model is as follows:

[0039] Q1: Determine the characteristic Y of the dishonesty model: the characteristic of the dishonesty model is the main factor that may affect the probability of enterprise dishonesty; the event with the characteristic Y of the dishonesty model becomes the characteristic event of dishonesty, and the enterprise characteristic event related to dishonesty corresponds to the enterprise characteristic event Input time to th...

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Abstract

The invention discloses an enterprise risk trust loss model based on Cox regression prediction. the lost credit survival probability of the lost credit model is calculated; f (D), using an enterprisecredit model feature Y as a covariable or an interaction item; The construction method of the lost credit model comprises the following steps of: constructing a lost credit model; Q1, determining a feature Y of the lost credit model, Q2: formulating a lost credit model observation starting time D1; Q3: formulating a lost credit observation time D3; Q4: formulating a lost credit end point time D2 or D3; Q5, formulating a lost credit survival time D; Q6, determining a reference risk function f0 (D) of the lost trust model; Q7, determining a partial regression coefficient of the characteristic Yof the lost trust model through likelihood estimation; Q8, brining The survival time D, the untrustworthy model feature Y, the untrustworthy model reference risk function f0(D), and the partial regression coefficient Beta of the untrustworthy model feature Y into the unbalanced risk function formula of the Cox proportional regression model. According to the model disclosed by the invention, the future risk change trend of an enterprise can be predicted, so that the possibility of enterprise credit risk occurrence can be predicted. The model disclosed by the invention has the advantages that the risk change trend of the enterprise can be predicted.

Description

technical field [0001] The invention relates to the field of information security, in particular to a Cox regression prediction-based enterprise risk and dishonesty model. Background technique [0002] In the fierce market competition, enterprises are always facing risks brought by changes and uncertainties in the external market environment and internal management operations. If there is no timely warning and control, the risks will turn into crises, which will lead to the failure of business operations. even bankruptcy. In recent years, enterprise risk assessment has been paid more and more attention by enterprises, governments, and investors, and risk assessment has been added to enterprise management and investment decision-making as a key focus factor. Since corporate risks are affected by dynamic indicators such as corporate strategy, finance, operations, and macro-environment, the quantitative assessment results of their dishonesty risks often change dynamically over...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/0635
Inventor 刘德彬陈玮黄远江陈长沙
Owner 重庆誉存科技有限公司
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