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Application of Machine learning Techniques to the Calculation of Solvency Capital Requirements
The application of machine learning in actuarial science is a rapidly expanding field that bridges traditional actuarial methods with emerging data-driven techniques. This paper examines how machine learning can be used to calculate an insurance company's Solvency Capital Requirement (SCR). Various...
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| Format: | Thesis |
| Language: | English English |
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School of Management Studies
2026
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| _version_ | 1869483667145883648 |
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| access_status_str | Open Access |
| author | Blake, Gareth |
| author2 | Botha, Pieter |
| author_browse | Blake, Gareth Botha, Pieter |
| author_facet | Botha, Pieter Blake, Gareth |
| author_sort | Blake, Gareth |
| collection | Thesis |
| description | The application of machine learning in actuarial science is a rapidly expanding field that bridges traditional actuarial methods with emerging data-driven techniques. This paper examines how machine learning can be used to calculate an insurance company's Solvency Capital Requirement (SCR). Various machine learning models were trained and tested to assess their predictive accuracy for the SCR across different risk scenarios. The findings indicate that machine learning approaches can reliably forecast the SCR, although interpretability challenges must be addressed due to the complex nature of these models. This work contributes to the existing literature on the intersection of traditional actuarial practices and modern machine learning methodologies. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/43384 |
| institution | University of Cape Town (South Africa) |
| language | English eng |
| last_indexed | 2026-07-01T04:02:38.296Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | School of Management Studies |
| publisherStr | School of Management Studies |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/43384 Application of Machine learning Techniques to the Calculation of Solvency Capital Requirements Blake, Gareth Botha, Pieter machine learning solvency capital requirement The application of machine learning in actuarial science is a rapidly expanding field that bridges traditional actuarial methods with emerging data-driven techniques. This paper examines how machine learning can be used to calculate an insurance company's Solvency Capital Requirement (SCR). Various machine learning models were trained and tested to assess their predictive accuracy for the SCR across different risk scenarios. The findings indicate that machine learning approaches can reliably forecast the SCR, although interpretability challenges must be addressed due to the complex nature of these models. This work contributes to the existing literature on the intersection of traditional actuarial practices and modern machine learning methodologies. 2026-06-25T09:53:19Z 2026-06-25T09:53:19Z 2026 2026-06-25T09:52:20Z Thesis / Dissertation Masters MCom http://hdl.handle.net/11427/43384 en eng application/pdf School of Management Studies Faculty of Commerce University of Cape Town |
| spellingShingle | machine learning solvency capital requirement Blake, Gareth Application of Machine learning Techniques to the Calculation of Solvency Capital Requirements |
| thesis_degree_str | Master's |
| title | Application of Machine learning Techniques to the Calculation of Solvency Capital Requirements |
| title_full | Application of Machine learning Techniques to the Calculation of Solvency Capital Requirements |
| title_fullStr | Application of Machine learning Techniques to the Calculation of Solvency Capital Requirements |
| title_full_unstemmed | Application of Machine learning Techniques to the Calculation of Solvency Capital Requirements |
| title_short | Application of Machine learning Techniques to the Calculation of Solvency Capital Requirements |
| title_sort | application of machine learning techniques to the calculation of solvency capital requirements |
| topic | machine learning solvency capital requirement |
| url | http://hdl.handle.net/11427/43384 |
| work_keys_str_mv | AT blakegareth applicationofmachinelearningtechniquestothecalculationofsolvencycapitalrequirements |