A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment
The dynamic prediction of financial distress can monitor the financial status of an enterprise in real time and provide evidence for financial analysts. However, currently, there are few studies concerning the dynamic prediction of financial distress in the financial sharing environment, so in order...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2023/6259689 |
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| _version_ | 1832547980253593600 |
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| author | Jie Zhu Hong Zhu Nan Lin |
| author_facet | Jie Zhu Hong Zhu Nan Lin |
| author_sort | Jie Zhu |
| collection | DOAJ |
| description | The dynamic prediction of financial distress can monitor the financial status of an enterprise in real time and provide evidence for financial analysts. However, currently, there are few studies concerning the dynamic prediction of financial distress in the financial sharing environment, so in order to fill this research gap, this study established a dynamic prediction model of financial distress in the financial sharing environment. Firstly, this study employed the analytic hierarchy process (AHP) and entropy weight theory to determine an index system for the dynamic evaluation of financial distress in the financial sharing environment and gave the weight assignment method of the evaluation indexes. Then, based on the probabilistic neural network (PNN), this study constructed a dynamic prediction model of financial distress and used experimental results to verify the effectiveness and feasibility of the constructed model. |
| format | Article |
| id | doaj-art-3d91bc240fed44f292eb06476ffbb805 |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-3d91bc240fed44f292eb06476ffbb8052025-02-03T06:42:41ZengWileyDiscrete Dynamics in Nature and Society1607-887X2023-01-01202310.1155/2023/6259689A Dynamic Prediction Model of Financial Distress in the Financial Sharing EnvironmentJie Zhu0Hong Zhu1Nan Lin2School of Finance and AccountingSchool of Economics and ManagementSchool of Finance and AccountingThe dynamic prediction of financial distress can monitor the financial status of an enterprise in real time and provide evidence for financial analysts. However, currently, there are few studies concerning the dynamic prediction of financial distress in the financial sharing environment, so in order to fill this research gap, this study established a dynamic prediction model of financial distress in the financial sharing environment. Firstly, this study employed the analytic hierarchy process (AHP) and entropy weight theory to determine an index system for the dynamic evaluation of financial distress in the financial sharing environment and gave the weight assignment method of the evaluation indexes. Then, based on the probabilistic neural network (PNN), this study constructed a dynamic prediction model of financial distress and used experimental results to verify the effectiveness and feasibility of the constructed model.http://dx.doi.org/10.1155/2023/6259689 |
| spellingShingle | Jie Zhu Hong Zhu Nan Lin A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment Discrete Dynamics in Nature and Society |
| title | A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment |
| title_full | A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment |
| title_fullStr | A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment |
| title_full_unstemmed | A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment |
| title_short | A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment |
| title_sort | dynamic prediction model of financial distress in the financial sharing environment |
| url | http://dx.doi.org/10.1155/2023/6259689 |
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