Individual claims reserving using the Aalen–Johansen estimator

Abstract We propose an individual claims reserving model based on the conditional Aalen–Johansen estimator, as developed in Bladt and Furrer ((2023a) arXiv:2303.02119.). In our approach, we formulate a multi-state problem, where the underlying variable is the individual claim size, rather than time. The states in this model represent development periods, and we estimate the cumulative density function of individual claim sizes using the conditional Aalen–Johansen method as transition probabilities to an absorbing state. Our methodology reinterprets the concept of multi-state models and offers a strategy for modeling the complete curve of individual claim sizes. To illustrate our approach, we apply our model to both simulated and real datasets. Having access to the entire dataset enables us to support the use of our approach by comparing the predicted total final cost with the actual amount, as well as evaluating it in terms of the continuously ranked probability score.

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Publication Details

Journal
Astin Bulletin
Published
2024-12-03
DOI
https://doi.org/10.1017/asb.2024.28
Primary Topic
Probability and Risk Models
Type
article
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article

Individual claims reserving using the Aalen–Johansen estimator

Martin Bladt, Gabriele Pittarello
Astin Bulletin
Probability and Risk Models
article

Individual claims reserving using the Aalen–Johansen estimator

Martin Bladt, Gabriele Pittarello
article en

Abstract

Abstract We propose an individual claims reserving model based on the conditional Aalen–Johansen estimator, as developed in Bladt and Furrer ((2023a) arXiv:2303.02119.). In our approach, we formulate a multi-state problem, where the underlying variable is the individual claim size, rather than time. The states in this model represent development periods, and we estimate the cumulative density function of individual claim sizes using the conditional Aalen–Johansen method as transition probabilities to an absorbing state. Our methodology reinterprets the concept of multi-state models and offers a strategy for modeling the complete curve of individual claim sizes. To illustrate our approach, we apply our model to both simulated and real datasets. Having access to the entire dataset enables us to support the use of our approach by comparing the predicted total final cost with the actual amount, as well as evaluating it in terms of the continuously ranked probability score.

Astin BulletinVol. 55(1)
University of Copenhagen (DK), Sapienza University of Rome (IT)
Openalex Percentile: Top 73%
Probability and Risk Models
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