Credit Risk Assessment of Finance-transportation and Warehouse Financing Model

DOI

10.2991/aebmr.k.210712.052How to use a DOI?

Keywords

Supply Chain Finance, Finance-transportation and Warehouse, Credit Risk, Logistic, Principal component analysis

Abstract

Based on the sample of 60 manufacturing listed companies (included 20 Special treatment companies and *Special treatment companies), a credit risk assessment index system is built by principal component analysis. The default of financing companies is predicted based logistic regression analysis. The result shows that the prediction accuracy of credit risk assessment on third-party logistics and pledge characteristics is improved, which provides the decision basis for commercial bank financing.

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  - Ruan Jian
AU  - Cai Minrong
PY  - 2021
DA  - 2021/07/12
TI  - Credit Risk Assessment of Finance-transportation and Warehouse Financing Model
BT  - Proceedings of the 2021 International Conference on Economic Development and Business Culture (ICEDBC 2021)
PB  - Atlantis Press
SP  - 299
EP  - 302
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210712.052
DO  - 10.2991/aebmr.k.210712.052
ID  - Jian2021
ER  -