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Prediction of corporate financial distress based on digital signal processing and multiple regression analysis

Liyang Li

Liyang Li

Department of Economics and Trade, Shijiazhuang University of Applied TechnologyChina
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Li, Liyang
, 
Mohammed Yousif

Mohammed Yousif

College of Administrative Sciences, Applied Science UniversityBahrain
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Yousif, Mohammed
 and 
Nasser El-Kanj

Nasser El-Kanj

College of Business Administration, American University of the Middle EastKuwait
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El-Kanj, Nasser
  
Jul 15, 2022
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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
© 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
Out-of-sample prediction plot of the Logistie regression

Figure 2

Plot of the in-sample test results for the SVM
Plot of the in-sample test results for the SVM

Figure 3

Out-of-sample prediction results plot for the SVM
Out-of-sample prediction results plot for the SVM
Language:
English
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Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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