In the analysis of Gree s credit risk, this paper selects quarterly data from 2017 to 2021 and uses KMV model measure risk. At same time, two competitors, Midea Haier, were selected for risk comparison. The results show that Gree's is significantly smaller than other companies. After that, fluctuations in 2018 are explained.

Issuing local government bonds will become a main financing manner and channel of municipal infrastructure in China while its major problem is volumes and credit risk control. Based on the KMV model, the credit risk model for municipal bonds is constructed in this paper and further study the patterns its probability distribution to improve prediction accuracy. After determining the forecast sta...

The streams where multiple transactions are associated with the same key prevalent in practice, e.g., a customer has shopping records arriving at different time. Itemset frequency estimation on such is very challenging since sampling based methods, as popularly used reservoir sampling, cannot be used. In this article, we propose novel k -Minimum Value (KMV) synopsis method to estimate of itemse...

Data sketches are widely used to accelerate operations in big data analytics. For example, algorithms use compute the cardinality of a set, or similarity between two sets. Sketches achieve significant reductions computing time and storage requirements by providing probabilistic estimates rather than exact values. In many applications, an estimate is sufficient thus, it possible trade accuracy f...

In order to solve the problems of low accuracy data mining, high relative error rate evaluation, and long time evaluation in traditional government debt risk methods, this paper proposes a modeling method comprehensive based on multidimensional mining. The MAFIA algorithm is used for mining data, K-means clustering processing mined data. KMV model built findings, uncertainty factor utilized alt...