Credit Risk Analysis and Evaluation of Internet Supply Chain Finance Listed Companies -- Based on Structural Entropy Weight TOPSIS Method

DOI

10.2991/aebmr.k.210409.030How to use a DOI?

Keywords

Internet supply chain finance, Credit risk, Index system, Entropy weight method, TOPSIS method

Abstract

The emergence of supply chain finance has effectively solved the problem of financing difficulty and high cost for small and medium-sized enterprises. The rapid development of the Internet has magnified this advantage. However, based on its diversified main body and complex business process, the risk of Internet supply chain is also increasing, resulting in economic instability and hindering economic development. Scientific and reasonable analysis of Internet supply chain financial credit risk is of great significance to promote the development of supply chain finance and expand financial services. In view of the limitation of single evaluation method and imperfect index system, this paper introduces Baidu search index and stock bar comprehensive score to construct the credit risk evaluation system of Internet supply chain finance from six aspects: operation ability, debt paying ability, profitability, development potential, mortgage factor and condition factor. It also selects 24 Internet supply chain finance related companies in 2019 The empirical results show that: profitability, operating capacity, solvency can provide strong explanatory power, and Structural Entropy TOPSIS method can analyze the credit risk of these enterprises to a certain extent.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xudong Cai
AU  - Hongmei Zhang
PY  - 2021
DA  - 2021/04/12
TI  - Credit Risk Analysis and Evaluation of Internet Supply Chain Finance Listed Companies -- Based on Structural Entropy Weight TOPSIS Method
BT  - Proceedings of the 9th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2020)
PB  - Atlantis Press
SP  - 191
EP  - 196
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210409.030
DO  - 10.2991/aebmr.k.210409.030
ID  - Cai2021
ER  -