When:
June 15, 2016 @ 8:30 am – 10:30 am
2016-06-15T08:30:00-05:00
2016-06-15T10:30:00-05:00
Where:
Aula Máxima de Derecho. Claustro de San Agustín.

Stochastic control for insurers; what can we learn from finance, and what are the differences?.
Christian Hipp (Karlsruher Institute of Technology, Karlsruhe, Germany)

We give examples for stochastic control problems in insurance: optimal reinsurance (unlimited and limited excess of loss), optimal investment (without constraint: singularity, leverage, asymptotics), with constraints (no leverage, no shortselling and singularities caused by constraints), dividend optimisation and combinations. As methods for solution we discuss dynamic equations of Hamilton-Jacobi-Bellman type, the viscosity solution concept and a comparison argument for the insurance context. Emphasis is on numerical methods: we give an Euler type method which works in most cases and prove convergence.
Finally, we give a list of open problems together with heuristic solutions for a two objective problem: maximizing dividend payment under a ruin constraint.

Keywords: Stochastic Control, Viscosity Solutions, Euler type discretisations, Multi objective problem.

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