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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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