Research on Credit Risk Assessment of Listed Companies in Electronic Information Industry Based on Logistic Regression
- https://doi.org/10.2991/dramclr-19.2019.17How to use a DOI?
- credit risk; Listed companies of electronic information; Supply chain financing
Electronic information industry is the hottest industry in the contemporary economy. With the continuous development of the industry, some problems in the supply chain appear gradually. In order to expand the scale of sales, electronic information industry often produces a large number of credit sales, so it also expands the accounts receivable, leading to the rising financial risks faced by enterprises. In combination with its industry characteristics, this paper constructs its early-warning indicator system from six dimensions including operating capacity, profitability, debt paying ability, growth ability, cash flow and per share indicator, and USES principal component analysis method to reduce the dimension of the original indicators, so as to improve the classification efficiency and accuracy of the Logistic early-warning model. The warning accuracy rate was 89.3%.
- © 2019, 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/).
Cite this article
TY - CONF AU - JinYue Liu AU - HongMei Zhang PY - 2019/11 DA - 2019/11 TI - Research on Credit Risk Assessment of Listed Companies in Electronic Information Industry Based on Logistic Regression BT - Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019) PB - Atlantis Press SP - 153 EP - 157 SN - 1951-6851 UR - https://doi.org/10.2991/dramclr-19.2019.17 DO - https://doi.org/10.2991/dramclr-19.2019.17 ID - Liu2019/11 ER -