Publication | Closed Access
Non-parametric and parametric bootstrap techniques for age-to-age development factor methods in stochastic claims reserving
22
Citations
19
References
2009
Year
EngineeringStatistical FoundationData ScienceEconomic AnalysisBootstrap TechniquesDemographic ForecastingStatistical ModelingStatisticsQuantitative ManagementEconomicsDifferent Development TrianglesEstimation StatisticAlternative Bootstrap ProceduresStochastic ClaimsParametric Bootstrap TechniquesBootstrap ResamplingBusinessEconometricsStatistical InferenceSemi-nonparametric Estimation
In the literature, one of the main objects of stochastic claims reserving is to find models underlying the chain-ladder method in order to analyze the variability of the outstanding claims, either analytically or by bootstrapping. In bootstrapping these models are used to find a full predictive distribution of the claims reserve, even though there is a long tradition of actuaries calculating the reserve estimate according to more complex algorithms than the chain-ladder, without explicit reference to an underlying model. In this paper we investigate existing bootstrap techniques and suggest two alternative bootstrap procedures, one non-parametric and one parametric, by which the predictive distribution of the claims reserve can be found for other age-to-age development factor methods than the chain-ladder, using some rather mild model assumptions. For illustration, the procedures are applied to three different development triangles.
| Year | Citations | |
|---|---|---|
Page 1
Page 1