Research of Financial Early-warning for Listed Companies Based on SVM

DOI

10.2991/iccse-15.2015.50How to use a DOI?

Keywords

Financial early-warning, Support vector machine (SVM), Model

Abstract

In this paper, the support vector machine (SVM) is applied for the early warning of financial crisis of listed companies, financial early-warning indexes and quantitative methods are analyzed, the early-warning ability of SVM model is verified by combining with the financial data of listed companies, and the real evidence has proved the feasibility of SVM model used for financial early-warning, finally, the possibility of using multi-mode classification to identify the alert degree of financial early-warning.

Copyright

© 2015, 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  - Hailun Huang
AU  - Wuxue Jiang
AU  - Shi Wang
PY  - 2015/07
DA  - 2015/07
TI  - Research of Financial Early-warning for Listed Companies Based on SVM
BT  - Proceedings of the 2015 International Conference on Computational Science and Engineering
PB  - Atlantis Press
SP  - 278
EP  - 281
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-15.2015.50
DO  - 10.2991/iccse-15.2015.50
ID  - Huang2015/07
ER  -