Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)

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Research on Credit Evaluation of Listed Companies in Science and Technology Sector Based on SVM

Authors
Su-juan Xu1, 2, Mu Zhang1, *
1School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, China
2Guizhou Institution for Technology Innovation & Entrepreneurship Investment, Guizhou University of Finance and Economics, Guiyang, China
*Corresponding author. Email: zhangmu01@163.com
Corresponding Author
Mu Zhang
Available Online 21 July 2023.
DOI
10.2991/978-94-6463-194-4_22How to use a DOI?
Keywords
Science and Technology Enterprises; Support Vector Machine; Credit Evaluation
ABSTRACT

In recent years, the state has strongly supported the development of scientific and technological enterprises. Scientific and technological enterprises occupy an increasingly important position in China's economic development. However, scientific and technological enterprises are in the growth period, and there are many risks in the process of development and expansion, so there are some problems in financing. Based on the establishment of the credit evaluation index system of listed companies in the science and technology sector, this paper calculates the IV value of each index to screen the indicators, and uses SVM to classify the selected sample enterprises, and compares the classification accuracy of the samples before and after the index screening. The results show that the classification accuracy of both training samples and test samples is improved after removing the indicators with little information value, which also shows the feasibility and effectiveness of the model.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
21 July 2023
ISBN
978-94-6463-194-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-194-4_22How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Su-juan Xu
AU  - Mu Zhang
PY  - 2023
DA  - 2023/07/21
TI  - Research on Credit Evaluation of Listed Companies in Science and Technology Sector Based on SVM
BT  - Proceedings of the 10th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2022)
PB  - Atlantis Press
SP  - 156
EP  - 162
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-194-4_22
DO  - 10.2991/978-94-6463-194-4_22
ID  - Xu2023
ER  -