MATEC Web Conf.
Volume 336, 20212020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|Number of page(s)||7|
|Section||Computer-Aided Advanced System and Management|
|Published online||15 February 2021|
Analysis of spatial variation of credit risk of China listed companies based on spatially varying coefficient logistic models
1 School of Economics and Finance, Xi'an International Studies University, Xi'an, Shaanxi, China
2 School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, China
* Corresponding author: firstname.lastname@example.org
Nowadays, since the booming economy of china, the development of financing behaviors, represented by the financial took it such as stocks and bonds, is increasing continuously in our country, meanwhile, it is more and more prominent that the credit risks problems brought by the frequent defaults in credit transactions. Analysis of credit risk characteristics become a very important study topic. Whether A-share listed companies in some provinces in the central and eastern regions of my country being special treatment (ST) are used as a sample to study credit risk. Based on the spatially varying coefficient logistic models, this paper analyzes the spatial variation characteristics of industry type and ownership nature affecting the probability of listed companies being ST. The results show that there is a large spatial variation in the intensity of the influence of these factors on the risk of listed companies being ST.
© The Authors, published by EDP Sciences, 2021
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