scholarly journals Credit Risk Evaluation of Large Power Consumers Considering Power Market Transaction

Author(s):  
Li Fulin ◽  
Xu Erfeng ◽  
Sun ke ◽  
Liu Dunnan ◽  
Shen Shuyi
Author(s):  
Li Fulin ◽  
Xu Erfeng ◽  
Sun ke ◽  
Liu Dunnan ◽  
Shen Shuyi

2008 ◽  
Vol 128 (1) ◽  
pp. 165-172 ◽  
Author(s):  
Yasushi Umezawa ◽  
Hiroyuki Mori

2014 ◽  
Vol 945-949 ◽  
pp. 2960-2966 ◽  
Author(s):  
Ji Chun Liu ◽  
Yun Xia Wu ◽  
Xi Yu ◽  
Jin Bo Liao ◽  
Tong Liu ◽  
...  

Based on the characteristics of current China's electricity power market, it is necessary to develop the self-regulation system for all market participants. This paper sets up index system based comprehensive risk evaluation for self-regulation construction, which covers market infrastructure stability, schedule fairness,trade compliance, electricity bill settlement risk. The evaluation criterion for each indicator is given afterwards. The key self-regulation information and subsequent trade behavior improvement measures can be attained after making the evaluation by calculating each index value, thus conducive to achieving the power market transaction stability and efficiency.


2021 ◽  
Author(s):  
Jingjing Tang ◽  
Jiahui Li ◽  
Weiqi Xu ◽  
Yingjie Tian ◽  
Xuchan Ju ◽  
...  

2018 ◽  
Vol 10 (10) ◽  
pp. 3699 ◽  
Author(s):  
WeiMing Mou ◽  
Wing-Keung Wong ◽  
Michael McAleer

Supply chain finance has broken through traditional credit modes and advanced rapidly as a creative financial business discipline. Core enterprises have played a critical role in the credit enhancement of supply chain finance. Through the analysis of core enterprise credit risks in supply chain finance, by means of a ‘fuzzy analytical hierarchy process’ (FAHP), the paper constructs a supply chain financial credit risk evaluation system, making quantitative measurements and evaluation of core enterprise credit risk. This enables enterprises to take measures to control credit risk, thereby promoting the healthy development of supply chain finance. The examination of core enterprise supply chains suggests that a unified information file should be collected based on the core enterprise, including the operating conditions, asset status, industry status, credit record, effective information to the database, collecting related data upstream and downstream of the archives around the core enterprise, developing a data information system, electronic data information, and updating the database accurately using the latest information that might be available. Moreover, supply chain finance and modern information technology should be integrated to establish the sharing of information resources and realize the exchange of information flows, capital flows, and logistics between banks. This should reduce a variety of risks and improve the efficiency and effectiveness of supply chain finance.


Author(s):  
Chao Ma ◽  
Lin Guo ◽  
Zhicheng Yu ◽  
Lei Wang ◽  
Zhiqiang Zhao ◽  
...  
Keyword(s):  

Author(s):  
Novan Wijaya

Credit risk evaluation is an importanttopic in financial risk management and become a major focus in the banking sector. This research discusses a credit risk evaluation system using an artificial neural network model based on backpropagation algorithm. This system is to train and test the neural network to determine the predictive value of credit risk, whether high riskorlow risk. This neural network uses 14 input layers, nine hidden layers and an output layer, and the data used comes from the bank that has branches in EastJakarta. The results showed that neural network can be used effectively in the evaluation of credit risk with accuracy of 88% from 100 test data


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