Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts
Abstract The financial health of leading enterprises has a significant impact on the sustainable development of the global economy. Most data-driven financial health forecasts are based on the direct use of small-scale machine learning. In this study, we proposed the idea of optimization coupling le...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-02-01
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| Series: | Financial Innovation |
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| Online Access: | https://doi.org/10.1186/s40854-024-00748-7 |
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| _version_ | 1823861626770554880 |
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| author | Lin Zhu Zhihua Zhang M. James C. Crabbe |
| author_facet | Lin Zhu Zhihua Zhang M. James C. Crabbe |
| author_sort | Lin Zhu |
| collection | DOAJ |
| description | Abstract The financial health of leading enterprises has a significant impact on the sustainable development of the global economy. Most data-driven financial health forecasts are based on the direct use of small-scale machine learning. In this study, we proposed the idea of optimization coupling learning to improve these machine learning models in financial health forecasting. It not only revealed lagging, immediate, continuous impacts of various indicators in different fiscal year, but also had the same low computational cost and complexity as known small-scale machine learning models. We used our optimization coupling learning to investigate 3424 leading enterprises in China and revealed inner triggering mechanisms and differences of enterprises' financial health status from individual behavior to macro level. |
| format | Article |
| id | doaj-art-2cf86f09de2549cb8bacf02437fe2188 |
| institution | Kabale University |
| issn | 2199-4730 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Financial Innovation |
| spelling | doaj-art-2cf86f09de2549cb8bacf02437fe21882025-02-09T12:51:09ZengSpringerOpenFinancial Innovation2199-47302025-02-0111111810.1186/s40854-024-00748-7Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecastsLin Zhu0Zhihua Zhang1M. James C. Crabbe2AI for Digital Earth Group, School of Mathematics, Shandong UniversityAI for Digital Earth Group, School of Mathematics, Shandong UniversityWolfson College, University of OxfordAbstract The financial health of leading enterprises has a significant impact on the sustainable development of the global economy. Most data-driven financial health forecasts are based on the direct use of small-scale machine learning. In this study, we proposed the idea of optimization coupling learning to improve these machine learning models in financial health forecasting. It not only revealed lagging, immediate, continuous impacts of various indicators in different fiscal year, but also had the same low computational cost and complexity as known small-scale machine learning models. We used our optimization coupling learning to investigate 3424 leading enterprises in China and revealed inner triggering mechanisms and differences of enterprises' financial health status from individual behavior to macro level.https://doi.org/10.1186/s40854-024-00748-7Financial health forecastsOptimization coupling learningTriggering mechanismsSmall-scale models |
| spellingShingle | Lin Zhu Zhihua Zhang M. James C. Crabbe Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts Financial Innovation Financial health forecasts Optimization coupling learning Triggering mechanisms Small-scale models |
| title | Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts |
| title_full | Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts |
| title_fullStr | Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts |
| title_full_unstemmed | Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts |
| title_short | Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts |
| title_sort | exploring small scale optimization coupling learning approaches for enterprises financial health forecasts |
| topic | Financial health forecasts Optimization coupling learning Triggering mechanisms Small-scale models |
| url | https://doi.org/10.1186/s40854-024-00748-7 |
| work_keys_str_mv | AT linzhu exploringsmallscaleoptimizationcouplinglearningapproachesforenterprisesfinancialhealthforecasts AT zhihuazhang exploringsmallscaleoptimizationcouplinglearningapproachesforenterprisesfinancialhealthforecasts AT mjamesccrabbe exploringsmallscaleoptimizationcouplinglearningapproachesforenterprisesfinancialhealthforecasts |