Stochastic Control in Insurance

This book PDF is perfect for those who love Business & Economics genre, written by Hanspeter Schmidli and published by Springer Science & Business Media which was released on 20 November 2007 with total hardcover pages 263. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Stochastic Control in Insurance books below.

Stochastic Control in Insurance
Author : Hanspeter Schmidli
File Size : 40,5 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 20 November 2007
ISBN : 9781848000032
Pages : 263 pages
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Stochastic Control in Insurance by Hanspeter Schmidli Book PDF Summary

Yet again, here is a Springer volume that offers readers something completely new. Until now, solved examples of the application of stochastic control to actuarial problems could only be found in journals. Not any more: this is the first book to systematically present these methods in one volume. The author starts with a short introduction to stochastic control techniques, then applies the principles to several problems. These examples show how verification theorems and existence theorems may be proved, and that the non-diffusion case is simpler than the diffusion case. Schmidli’s brilliant text also includes a number of appendices, a vital resource for those in both academic and professional settings.

Stochastic Control in Insurance

Yet again, here is a Springer volume that offers readers something completely new. Until now, solved examples of the application of stochastic control to actuarial problems could only be found in journals. Not any more: this is the first book to systematically present these methods in one volume. The author

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Stochastic Optimization in Insurance

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

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An Application of Stochastic Control Theory to Insurance Business

Download or read online An Application of Stochastic Control Theory to Insurance Business written by Jukka Rantala, published by Unknown which was released on 1984. Get An Application of Stochastic Control Theory to Insurance Business Books now! Available in PDF, ePub and Kindle.

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Applied Stochastic Models and Control for Finance and Insurance presents at an introductory level some essential stochastic models applied in economics, finance and insurance. Markov chains, random walks, stochastic differential equations and other stochastic processes are used throughout the book and systematically applied to economic and financial applications. In addition,

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Uncertainty presents significant challenges in the reasoning about and controlling of complex dynamical systems. To address this challenge, numerous researchers are developing improved methods for stochastic analysis. This book presents a diverse collection of some of the latest research in this important area. In particular, this book gives an overview

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As is well known, Pontryagin's maximum principle and Bellman's dynamic programming are the two principal and most commonly used approaches in solving stochastic optimal control problems. * An interesting phenomenon one can observe from the literature is that these two approaches have been developed separately and independently. Since both methods are

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Risk and Insurance

This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial mathematics and probability. Both non-life and life aspects are covered. The emphasis is on probability and modeling rather than statistics and practical implementation. Aimed at the graduate level, pointing

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