RankXGB-Based Enterprise Credit Scoring by Electricity Consumption in Edge Computing Environment

With the rapid development of the internet of things(IoT),electricity consumption data can be captured and recorded in the IoT cloud center.This provides a credible data source for enterprise credit scoring,which is one of the most vital elements during the financial decision-making process.Accordingly,this paper proposes to use deep learning to train an enterprise credit scoring model by inputting the electricity consumption data.Instead of predicting the credit rating,our method can generate an absolute credit score by a novel deep ranking model–ranking extreme gradient boosting net(rankXGB).To boost the performance,the rankXGB model combines several weak ranking models into a strong model.Due to the high computational cost and the vast amounts of data,we design an edge computing framework to reduce the latency of enterprise credit evaluation.Specially,we design a two-stage deep learning task architecture,including a cloud-based weak credit ranking and an edge-based credit score calculation.In the first stage,we send the electricity consumption data of the evaluated enterprise to the computing cloud server,where multiple weak-ranking networks are executed in parallel to produce multiple weak-ranking results.In the second stage,the edge device fuses multiple ranking results generated in the cloud server to produce a more reliable ranking result,which is used to calculate an absolute credit score by score normalization.The experiments demonstrate that our method can achieve accurate enterprise credit evaluation quickly.

Credit Rationing in Medium-small Enterprises Credit Market under Asymmetric Information

Credit rationing has been an objective phenomenon in medium-small enterprises credit market of China. By analyzing the present situation of medium-small enterprises credit market of China, this study gives a new credit rationing model fitting medium-small enterprises credit market of China well. It has been showed in the empirical study that different factor has each different influence on medium-small enterprises credit market; further more, only the change of chastisement factor can make the medium-small enterprises credit market achieve whole success, but other factors can merely get integrant success even though under the most ideal condition.

LIRR Awarded AAA-Level Credit Standing Enterprise

Requested by Ministry of Commerce of China and SASAC （State-owned Assets Supervision and Administration Commission of the State Council）, the credit evaluation of refractories enterprises was carried out by The Association of China Refractories Industry based on the principle of open, justice, and impartiality. Thirty one enterprises were awarded AAA-level credit including Sinosteel Luoyang Institute of Refractories Research Co., Ltd. （LIRR）.

The Council Carries out Credit Evaluation Work for Chinese Textile and Apparel Enterprises

On March 15th,in Beijing,the day of World Consumer Right,the China National Textile and Apparel Council (CNTAC) released the announcement

Research and Implementation of the Enterprise Evaluation Based on a Fusion Clustering Model of AHP-FCM

Traditional clustering method is easy to slow convergence speed because of high data dimension and setting random initial clustering center. To improve these problems, a novel method combining subtractive clustering with fuzzy C-means( FCM)clustering will be advanced. In the method, the initial cluster number and cluster center can be obtained using subtractive clustering. On this basis,clustering result will be further optimized with FCM. In addition,the data dimension will be reduced through the analytic hierarchy process( AHP) before clustering calculating.In order to verify the effectiveness of fusion algorithm,an example about enterprise credit evaluation will be carried out. The results show that the fusion clustering algorithm is suitable for classifying high-dimension data,and the algorithm also does well in running up processing speed and improving visibility of result. So the method is suitable to promote the use.

The Reasolis Why Informal Finance Exists and Some Suggestions on Policy

Compared with formal finance, informal finance owns advantages in information and collateral. These are the reasons why informal finance exists widely in many ways. However, informal finance has its deficiencies too. On the basis of the analysis of the advantages and deficiencies of informal finance, the paper also offers some suggestions on policy that government should adopt on informal finance.