IMIST


Vue normale Vue MARC vue ISBD

Stochastic Optimization in Insurance A Dynamic Programming Approach /

par Azcue, Pablo. Collection : SpringerBriefs in Quantitative Finance, 2192-7006 Détails physiques : X, 146 p. 19 illus., 2 illus. in color. online resource. ISBN :9781493909957.
Tags de cette bibliothèque : Pas de tags pour ce titre. Connectez-vous pour ajouter des tags.
    Évaluation moyenne : 0.0 (0 votes)
Exemplaires : http://dx.doi.org/10.1007/978-1-4939-0995-7

Stability Criteria for Insurance Companies -- Reinsurance and Investment -- Viscosity Solutions -- Characterization of Value Functions -- Optimal Strategies -- Numerical Examples -- References -- Appendix A. Probability Theory and Stochastic Processes -- Index.

The main purpose of the book is to show how a viscosity approach can be used to tackle control problems in insurance. The problems covered are the maximization of survival probability as well as the maximization of dividends in the classical collective risk model. The authors consider the possibility of controlling the risk process by reinsurance as well as by investments. They show that optimal value functions are characterized as either the unique or the smallest viscosity solution of the associated Hamilton-Jacobi-Bellman equation; they also study the structure of the optimal strategies and show how to find them. The viscosity approach was widely used in control problems related to mathematical finance but until quite recently it was not used to solve control problems related to actuarial mathematical science. This book is designed to familiarize the reader on how to use this approach. The intended audience is graduate students as well as researchers in this area.

Il n'y a pas de commentaire pour ce document.

pour proposer un commentaire.
© Tous droits résérvés IMIST/CNRST
Angle Av. Allal Al Fassi et Av. des FAR, Hay Ryad, BP 8027, 10102 Rabat, Maroc
Tél:(+212) 05 37.56.98.00
CNRST / IMIST

Propulsé par Koha