Journal article

SPLICE: a synthetic paid loss and incurred cost experience simulator

Benjamin Avanzi, Greg Taylor, Melantha Wang

Annals of Actuarial Science | Cambridge University Press | Published : 2022

Abstract

In this paper, we first introduce a simulator of cases estimates of incurred losses called SPLICE (Synthetic Paid Loss and Incurred Cost Experience). In three modules, case estimates are simulated in continuous time, and a record is output for each individual claim. Revisions for the case estimates are also simulated as a sequence over the lifetime of the claim in a number of different situations. Furthermore, some dependencies in relation to case estimates of incurred losses are incorporated, particularly recognising certain properties of case estimates that are found in practice. For example, the magnitude of revisions depends on ultimate claim size, as does the distribution of the revisio..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Funding Acknowledgements

The authors gratefully acknowledge productive discussions on the extension of <MONOSPACE>SynthETIC</MONOSPACE> with Bernard Wong. The authors are also grateful to William Ho for research assistance, and comments that led to improvements of the R code. This research was supported under Australian Research Council's Linkage (LP130100723) and Discovery (DP200101859) Projects funding schemes. Melantha Wang acknowledges financial support from UNSW Australia Business School. The views expressed herein are those of the authors and are not necessarily those of the supporting organisations.