Statistical product is data analytical outcomes processed by Dagong credit rating method to reflect the key credit risks of entities. It is from multi-dimension to statistically analyze data (time, area, industrial ect.) of the entities to express their trend and situation in different ways. There are 39 product categories in Dagong statistical product, and 292 in total.
This product has flexible combination of entities, scales, and methods that could match different requirements.
With certain time and space dimensions, statistical product is able to reflect credit information among different entity groups. It can also focus on certain entity to make deep cross-field data mining. The outcomes would help the users find and evaluate key information immediately, and carry on the research about the entity’s financing ability, debt paying ability and debt paying risk in future.
2. Index Product
Index product is the composition of indices created independently by Dagong to satisfy the requirements from financial market participants. It is using open resources to describe the situation and the trend of certain entity. The indices reflect the entities’ credit risk and development level directly, and help the users understand the relative rank of the working entity in the whole group. There are 21 product categories in 3 types and 3 dimensions, and the total number of Dagong index products is 292.
Index product can provide straightforward information for index users, and enable the users to learn the rank of a certain risk and track the development trend. The index product aims to reveal the position of a certain entity in credit market.
3.National Credit Information Database
National credit information database is a systemic, hierarchical, professional and comprehensive data warehouse. It covers 268 countries (areas) and organizations with 262 key indices, and the time range spans over 77 years. All the data is technically processed to ensure the comparability in vertical and horizontal dimensions.
National credit information database has 9 components: national credit information database, national credit risk database, national politic risk database, national financial risk database, national economic development database, national foreign currency risk database, national credit risk database, national non-financial enterprise development database, national citizen credit risk database.
National credit information database provides the users with both raw data and professionally processed macroeconomic data. The data is separated into several categories letting users subtract and use data conveniently.
4. National Credit Risk Assessing Model
National credit risk assessing model is a credit risk assessment system derivative from the national credit risk rating model with regression methods. The model concerns comprehensive factors of a country's credit risk, such as political risk, financial environment, economic development, payment of foreign exchange and debt payment ability. And it identifies both the current situation of a country’s credit risk and trend of development.
National credit risk assessing model could also be customized to meet specific requirement from customer. The model result shows the level of credit risks of different countries by easy-understanding symbols.
With national credit risk assessing model, investors are able to catch the systematic risk of a country while making investment decision. Meanwhile, the simulation technology predicts the change of national credit risk in different scenes. The results could provide prospective guidance and risk warning.
5.Debt Risk Evaluating Model
Debt risk evaluating model is a customized project according to special demand. The model has embedded simulation technologies to find the maximum debt security boundary and the coverage of principle and interests of matured debts. The weakness of debt chain and the credit risks would be located throughout the analysis.
Dagong has developed a series of models for different entities: national debt risk evaluation model, government (the central government and the local government) debt risk evaluation model, industrial debt risk evaluation model, enterprise debt risk evaluation model, and financing debt risk model.
By measuring the maximum value of debt’s secure quantity-boundary, the debt risk evaluating model keeps the total risk of the debt under control effectively. By comparing the coverage of the matured debt and sources of repayment, the model could find out the weakness of the debt chain and identify the risk types. By focusing on the vulnerable point of the debt’s structure, the model reveals the cons and pros of different financing methods; in addition, it assists the investors to optimize the debt applying plan as well as control the structuring and financing risk.