Stochastic Optimization in Insurance: A Dynamic Programming Approach: SpringerBriefs in Quantitative Finance
Autor Pablo Azcue, Nora Muleren Limba Engleză Paperback – 20 iun 2014
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.
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Specificații
ISBN-13: 9781493909940
ISBN-10: 1493909940
Pagini: 156
Ilustrații: X, 146 p. 19 illus., 2 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.23 kg
Ediția:2014
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Quantitative Finance
Locul publicării:New York, NY, United States
ISBN-10: 1493909940
Pagini: 156
Ilustrații: X, 146 p. 19 illus., 2 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.23 kg
Ediția:2014
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Quantitative Finance
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.
Recenzii
“This book mainly contains work done by the authors during the last few years in the area of optimal control of insurance surpluses. … The book is very nicely written and gives an excellent overview of the topic. It is an ideal textbook for all researchers in insurance, in particular for those interested in optimisation problems.” (Hanspeter Schmidli, zbMATH 1308.91004, 2015)
Caracteristici
A concise viscosity solution approach in insurance control problems Provides existence and structure of optimal strategies Offers systematic construction of the optimal value functions Includes supplementary material: sn.pub/extras