Why choose this project topic?
Sensitivity of a Synthetic Severity Model to Deductible-Related Observation Rules gives the proposal a specific research question to investigate. By examining how excluding below-threshold fictional losses affects severity model estimates, the study can connect an accessible evidence base with an explicit comparison and a useful account of uncertainty.
Which methods recover the stated synthetic distribution most reliably under the chosen rules?
Use hypothetical thresholds and no actual claims.
Proposed project objectives
- 01Define a feasible study scope for how excluding below-threshold fictional losses affects severity model estimates.
- 02Simulate transparent loss and reporting processes with qualified-reviewed assumptions.
- 03Compare estimation uncertainty without recommending deductible levels.
A suggested research approach
Simulate transparent loss and reporting processes with qualified-reviewed assumptions. Compare estimation uncertainty without recommending deductible levels. Agree access, sampling and any required ethical or laboratory approval with your supervisor before collection. Keep original observations separate from assumptions and record missing or unusable evidence.
What you will need
- Synthetic data
- Qualified supervisor
- Analysis tools
Keep your project scope clear
Artificial reporting rules do not represent every insured's behaviour or a real product.
Actuarial Science project chapter outline
Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.
- Chapter 1Introduction
- Chapter 2Literature Review
- Chapter 3Theory and Methodology
- Chapter 4Results and Applications
- Chapter 5Summary, Conclusion and Recommendations
Turn this topic into your own final year project.
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