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Journals
Applied Mathematics and Nonlinear Sciences
Volume 8 (2023): Issue 1 (January 2023)
Open Access
Prediction of corporate financial distress based on digital signal processing and multiple regression analysis
Liyang Li
Liyang Li
,
Mohammed Yousif
Mohammed Yousif
and
Nasser El-Kanj
Nasser El-Kanj
| Jul 15, 2022
Applied Mathematics and Nonlinear Sciences
Volume 8 (2023): Issue 1 (January 2023)
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Published Online:
Jul 15, 2022
Page range:
2209 - 2220
Received:
Mar 06, 2022
Accepted:
May 24, 2022
DOI:
https://doi.org/10.2478/amns.2022.2.0140
Keywords
Digital signal
,
multiple regression
,
corporate financial distress
,
logistic regression model
,
support vector machine
© 2023 Liyang Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Figure 1
Out-of-sample prediction plot of the Logistie regression
Figure 2
Plot of the in-sample test results for the SVM
Figure 3
Out-of-sample prediction results plot for the SVM