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Marked Cox models for IBNR claims count: continuous and discretized approaches with Dirichlet-driven reporting delays

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003  MAP
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008  260202e20260115bel|||p |0|||b|eng d
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24500‎$a‎Marked Cox models for IBNR claims count: continuous and discretized approaches with Dirichlet-driven reporting delays‎$c‎Hassan Abdelrahman... [et al.]
520  ‎$a‎This paper introduces a new micro-level Cox model for estimating incurred-but-not-reported (IBNR) claim counts using a hidden Markov model structure. The model is first developed in continuous time to incorporate temporal dependence and policyholder-specific risk factors, but practical challenges arise due to likelihood maximization and right-truncated reporting delays. To address these issues, the authors propose two discrete-time alternatives: one that uses a Dirichlet distribution to capture random variability in reporting delays, and one without this component. EM-based estimation procedures are provided for all models. When applied to an auto-insurance dataset, the discrete-time models outperform the continuous-time version by jointly modeling claim occurrence and reporting delay, with the Dirichlet-based model offering improved flexibility and capturing additional uncertainty. Overall, the framework enhances accuracy in IBNR reserving and can be adapted to different levels of granularity within an insurance portfolio
650 4‎$0‎MAPA20080573935‎$a‎Seguros no vida
650 4‎$0‎MAPA20080597733‎$a‎Modelos estadísticos
650 4‎$0‎MAPA20080579258‎$a‎Cálculo actuarial
650 4‎$0‎MAPA20090039629‎$a‎Riesgo actuarial
650 4‎$0‎MAPA20080602437‎$a‎Matemática del seguro
650 4‎$0‎MAPA20080576783‎$a‎Modelo de Markov
7001 ‎$0‎MAPA20260001593‎$a‎Abdelrahman, Hassan
7102 ‎$0‎MAPA20100017661‎$a‎International Actuarial Association
7730 ‎$w‎MAP20077000420‎$g‎19/01/2026 Volume 56 Issue 1 - January 2026 , p. 60 - 80‎$x‎0515-0361‎$t‎Astin bulletin‎$d‎Belgium : ASTIN and AFIR Sections of the International Actuarial Association