Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)

Research on Financial Early Warning of Listed Companies Based on Lasso-logistic Model

Authors
Yutong Han, Qi Sun, Zhuoxi Yu
Corresponding Author
Zhuoxi Yu
Available Online December 2018.
DOI
https://doi.org/10.2991/febm-18.2018.60How to use a DOI?
Keywords
Financial warning; Lasso algorithm; Logistic model; Variable selection
Abstract

The financial status is an important factor affecting the survival and development of enterprises. When we conduct financial early-warning model analysis, the selection of index variables and the estimation of model parameters directly affect the prediction accuracy of the early-warning model. Lasso is a variable selection method for shrinkage estimation. By constructing a penalty functions to realize variety selection and retaining the advantages of subset shrinkage; Lasso can be applied to time series, high-dimensional graphics discrimination and selection. In this paper, the Lasso method and the Logistic model are combined to construct an early-warning model reflecting the financial status within the enterprise. The experimental results show that the model can effectively select relatively important influencing factors and also has good predictive evokes.

Copyright
© 2018, 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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Volume Title
Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)
Series
Advances in Economics, Business and Management Research
Publication Date
December 2018
ISBN
978-94-6252-623-5
ISSN
2352-5428
DOI
https://doi.org/10.2991/febm-18.2018.60How to use a DOI?
Copyright
© 2018, 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  - Yutong Han
AU  - Qi Sun
AU  - Zhuoxi Yu
PY  - 2018/12
DA  - 2018/12
TI  - Research on Financial Early Warning of Listed Companies Based on Lasso-logistic Model
BT  - Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)
PB  - Atlantis Press
SP  - 262
EP  - 266
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-18.2018.60
DO  - https://doi.org/10.2991/febm-18.2018.60
ID  - Han2018/12
ER  -