Valuation and risk assessment of disability insurance using a discrete time trivariate Markov renewal reward process

DOI10.1016/j.insmatheco.2013.09.013zbMath1290.91096OpenAlexW2041004371MaRDI QIDQ2015650

Alexander Maegebier

Publication date: 23 June 2014

Published in: Insurance Mathematics \& Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.insmatheco.2013.09.013

zbMATH Keywords

disability insurancedependenceduration modelhigher momentsinter-arrival timeMarkov reward process

Mathematics Subject Classification ID

Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Related Items (6)

Multi-state models for evaluating conversion options in life insurance ⋮ Insuring wind energy production ⋮ Optimal long-term contracts with disability insurance under limited commitment ⋮ The Impact of Disability Insurance on a Portfolio of Life Insurances ⋮ Analysis of an aggregate loss model in a Markov renewal regime ⋮ Individual reserving and nonparametric estimation of claim amounts subject to large reporting delays

Cites Work

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• Full backward non-homogeneous semi-Markov processes for disability insurance models: a Catalunya real data application
• The actuarial treatment of the disability risk in Germany, Austria and Switzerland
• Multistate models in health insurance
• Actuarial models for pricing disability benefits: Towards a unifying approach
• An algorithmic approach to discrete time non-homogeneous backward semi-Markov reward processes with an application to disability insurance
• Semi-Markov Disability Insurance Models
• Neue Rechnungsgrundlagen für die BerufsunfÄhigkeitsversicherung DAV1997
• Numerical solution of non-homogeneous semi-Markov processes in transient case

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