An artificial intelligence-based forecasting of the dynamics of relative profit rates at a financial crisis juncture: A model, a case study and crisis management policies
The purpose of this paper is to (i) demonstrate that the behavior of the relative profit rates at financial crisis junctures in a dual financial system could be different than that of the other periods, (ii) show that relative profit rates (and their dynamics) at crisis junctures could be forecasted...
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| Format: | Article |
| Language: | English |
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Sciendo
2025-03-01
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| Series: | Financial Internet Quarterly |
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| Online Access: | https://doi.org/10.2478/fiqf-2025-0002 |
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| author | Kara Ahmet |
| author_facet | Kara Ahmet |
| author_sort | Kara Ahmet |
| collection | DOAJ |
| description | The purpose of this paper is to (i) demonstrate that the behavior of the relative profit rates at financial crisis junctures in a dual financial system could be different than that of the other periods, (ii) show that relative profit rates (and their dynamics) at crisis junctures could be forecasted with a relatively high degree of accuracy via artificial intelligence algorithms and (iii) exemplify the possibility of crisis-management policies that can smoothen the trajectory of the relative profit rates and facilitate the control of possible erratic fluctuations at the crisis junctures in such systems. We employ a series of methodological tools involving (i) statistical tests, (ii) artificial intelligence algorithms and (iii) the system dynamics simulation method to achieve the three objectives outlined in the paragraph above. The results are of practical significance to the financial policy makers aiming to formulate and put in practice effective policies at crisis junctures. |
| format | Article |
| id | doaj-art-e4d28464d9e44b39a082da31d8d1039e |
| institution | DOAJ |
| issn | 2719-3454 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Financial Internet Quarterly |
| spelling | doaj-art-e4d28464d9e44b39a082da31d8d1039e2025-08-20T02:50:27ZengSciendoFinancial Internet Quarterly2719-34542025-03-01211152610.2478/fiqf-2025-0002An artificial intelligence-based forecasting of the dynamics of relative profit rates at a financial crisis juncture: A model, a case study and crisis management policiesKara Ahmet0Istanbul Commerce University, TurkeyThe purpose of this paper is to (i) demonstrate that the behavior of the relative profit rates at financial crisis junctures in a dual financial system could be different than that of the other periods, (ii) show that relative profit rates (and their dynamics) at crisis junctures could be forecasted with a relatively high degree of accuracy via artificial intelligence algorithms and (iii) exemplify the possibility of crisis-management policies that can smoothen the trajectory of the relative profit rates and facilitate the control of possible erratic fluctuations at the crisis junctures in such systems. We employ a series of methodological tools involving (i) statistical tests, (ii) artificial intelligence algorithms and (iii) the system dynamics simulation method to achieve the three objectives outlined in the paragraph above. The results are of practical significance to the financial policy makers aiming to formulate and put in practice effective policies at crisis junctures.https://doi.org/10.2478/fiqf-2025-0002dual financial systemsdynamics of relative profit ratesartificial-intelligence-based– forecastingcrisis juncturescrisis managementg1c6 |
| spellingShingle | Kara Ahmet An artificial intelligence-based forecasting of the dynamics of relative profit rates at a financial crisis juncture: A model, a case study and crisis management policies Financial Internet Quarterly dual financial systems dynamics of relative profit rates artificial-intelligence-based– forecasting crisis junctures crisis management g1 c6 |
| title | An artificial intelligence-based forecasting of the dynamics of relative profit rates at a financial crisis juncture: A model, a case study and crisis management policies |
| title_full | An artificial intelligence-based forecasting of the dynamics of relative profit rates at a financial crisis juncture: A model, a case study and crisis management policies |
| title_fullStr | An artificial intelligence-based forecasting of the dynamics of relative profit rates at a financial crisis juncture: A model, a case study and crisis management policies |
| title_full_unstemmed | An artificial intelligence-based forecasting of the dynamics of relative profit rates at a financial crisis juncture: A model, a case study and crisis management policies |
| title_short | An artificial intelligence-based forecasting of the dynamics of relative profit rates at a financial crisis juncture: A model, a case study and crisis management policies |
| title_sort | artificial intelligence based forecasting of the dynamics of relative profit rates at a financial crisis juncture a model a case study and crisis management policies |
| topic | dual financial systems dynamics of relative profit rates artificial-intelligence-based– forecasting crisis junctures crisis management g1 c6 |
| url | https://doi.org/10.2478/fiqf-2025-0002 |
| work_keys_str_mv | AT karaahmet anartificialintelligencebasedforecastingofthedynamicsofrelativeprofitratesatafinancialcrisisjunctureamodelacasestudyandcrisismanagementpolicies AT karaahmet artificialintelligencebasedforecastingofthedynamicsofrelativeprofitratesatafinancialcrisisjunctureamodelacasestudyandcrisismanagementpolicies |