Foreign trade enterprise risk assessment method based on data flow

Abstract

The invention discloses a foreign trade enterprise risk assessment method based on a data flow, and the method comprises two parts: a first part: selecting and generating a corresponding rule system for a current rule base according to the requirements of different demanders, and evolving an inherent rule base of a company; and in the second part, aiming at the problem of how to fix the weight ofthe current rule system, the invention designs and perfects a set of automatic weight assignment process capable of utilizing the existing rule and the preset rule to the greatest extent.

Description

Technical field: [0001] The invention belongs to the field of financial risk assessment, and particularly relates to a data stream-based risk assessment method for foreign trade enterprises. Background technique: [0002] Commercial banks are profitable financial enterprises that absorb deposits, issue loans and engage in other intermediate businesses. The management of credit business is the basic element of bank management and risk control. In the course of developing credit business, banks will face different levels of customer credit risks, almost without exception but with varying degrees of bad debt losses. [0003] There are many main reasons for credit risk, including subjective reasons, such as financial status, profit level, uncertainty in borrower's operation, and changes in credit rating; and objective reasons such as natural disasters. To do a good job in credit risk identification, the general discussion is more subjective, that is, the asymmetry of information betwe...

AI Technical Summary

Problems solved by technology

However, for a certain company, evaluating thousands of rules each time is too large a project, whether it is a bank, an investment institution or a company under investigation.

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