Solving life-cycle problems with biometric risk by artificial insurance markets

DOI10.1080/03461238.2021.1966831zbMath1494.91124OpenAlexW3193525577MaRDI QIDQ5865316

Claus Munk, Holger Kraft, Christoph Hambel

Publication date: 13 June 2022

Published in: Scandinavian Actuarial Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03461238.2021.1966831

zbMATH Keywords

dynamic programminginsurancehabit formationlife-cycle modelsbiometric risk

Mathematics Subject Classification ID

Dynamic programming (90C39) Actuarial mathematics (91G05)

Cites Work

• An approach for analyzing the global rate of convergence of quasi-Newton and truncated-Newton methods
• Optimal consumption and portfolio rules with intertemporally dependent utility of consumption
• Convex duality in constrained portfolio optimization
• Strategic asset allocation
• Household consumption, investment and life insurance
• Health shock risk, critical illness insurance, and housing services
• A dynamic programming approach to constrained portfolios
• Consumption habits and humps
• Portfolio and consumption choice with stochastic investment opportunities and habit formation in preferences
• Martingale and Duality Methods for Utility Maximization in an Incomplete Market
• Optimal Consumption and Insurance: A Continuous-time Markov Chain Approach
• Consumption Over the Life Cycle