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The research and development of credit risk management in China is still in its infancy, especially in quantitative analysis. RESSET professional research and development team has developed RESSET credit risk management system (RESSET/Credit Risk MS) based on advanced data mining theory and technology, such as machine learning.

Financial market is the main body of China's bond market and an important part of China's capital market. It will become the main source of direct financing for Chinese enterprises and financial industry. Once credit risk occurs, it will seriously affect the stability and development of China's economy and finance. The measurement and evaluation of enterprise credit default probability (PD) was listed as the key content of internal rating method (IRB) in the New Basel Capital Accord in June 2004. It is an important index to measure credit risk. RESSET Credit Risk Management System (RESSET/Credit RiskMS) is a credit rating software based on default rate measurement developed by RESSET company. Users can choose models (including ensemble learning model, logistic regression model, neural network model) or modeling data independently and the software will automatically calculate the results according to the user's choice. According to the modeling results, users can repeatedly select different data models to calculate, or verify the model. The calculation results include default rate, probability of miscarriage of justice and important indicators of each model. Each model has a detailed model description document and analysis of the modeling results.

Credit risk management is very difficult, as it involves too many academic theoretical basis, data collation and analysis work. It also acquires basic mathematical knowledge such as statistical analysis and econometrics, as well as professional knowledge such as economics and finance. In addition, the amount of data related to enterprise credit risk is extremely large, and feature extraction is hard. In the face of many enterprise history and updated data, it is difficult to achieve ideal results without specialized data solutions. RESSET has a deep accumulation of data processing technology, comprehensive data precipitation and extensive academic support. It has congenital advantages in the research and development of credit default management system.

As a good practical teaching tool, RESSET Credit Risk Management System (RESSET/Credit RiskMS) contains profound theoretical knowledge, modeling methods, computing skills, with detailed model introduction, analysis and other documents. The system builds models and calculates based on real data, devotes itself to the cultivation of practical talents in credit management and the transformation of academic achievements in financial data, and provides technical support for the innovation and development of financial science and technology.

——————  Product Features  ——————

Initiative

The research and development for the credit risk management is in its infancy in China. RESSET R&D team is the leader in the peer level with cooperating with Tsinghua University, Beijing University and other well-known universities.

Practicability

As all the data in RESSET/DB database are from real financial market, it can satisfy the requirement of the real work to the maximum. RESSET/CreditRiskMS can be widely used in teaching and scientific research of high school, the investment of financial institutions and so on.

Combination of the theory

It involves the combination of the professional knowledge of statistics, econometrics, credit rating, risk measurement, etc.