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A Bootstrap Estimate of the Predictive Distribution of Outstanding Claims for the Schnieper Model

A bootstrap estimate of the predictive distribution of outstanding claims for the Schnieper model
Authors: Liu, H.; Verrall, R. J.;

A Bootstrap Estimate of the Predictive Distribution of Outstanding Claims for the Schnieper Model

Abstract

AbstractThis paper considers the bootstrapping approach for measuring reserve uncertainty when applying the model of Schnieper for reserves which separate Incurred But Not Reported (IBNR) and Incurred But Not Enough Reserved (IBNER) claims. The Schnieper method has been explored in Liu and Verrall (2009), and the Mean Square Errors of Prediction (MSEP) derived. This paper takes this further by deriving the full predictive distribution, using bootstrapping. Numerical examples are provided and the MSEP from the bootstrapping approach are compared with those obtained analytically.

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Keywords

Applications of statistics to actuarial sciences and financial mathematics, Schnieper model, claims reserving, Risk theory, insurance, bootstrapping, HG, IBNR and IBNER claims

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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bronze