Semi-Markov Risk Models for Finance, Insurance and Reliability

Author:   Jacques Janssen ,  Raimondo Manca
Publisher:   Springer Us
ISBN:  

9781280902390


Pages:   429
Publication Date:   01 January 2007
Format:   Undefined
Availability:   Available To Order   Availability explained
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Semi-Markov Risk Models for Finance, Insurance and Reliability


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Overview

This book presents applications of semi-Markov processes in finance, insurance and reliability, using real-life problems as examples. After a presentation of the main probabilistic tools necessary for understanding of the book, the authors show how to apply semi-Markov processes in finance, starting from the axiomatic definition and continuing eventually to the most advanced financial tools, particularly in insurance and in risk-and-ruin theories. Also considered are reliability problems that interact with credit risk theory in finance. The unique approach of this book is to solve finance and insurance problems with semi-Markov models in a complete way and furthermore present real-life applications of semi-Markov processes.

Full Product Details

Author:   Jacques Janssen ,  Raimondo Manca
Publisher:   Springer Us
Imprint:   Springer Us
ISBN:  

9781280902390


ISBN 10:   1280902396
Pages:   429
Publication Date:   01 January 2007
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

From the reviews: The book under review aims to give a complete and self-contained presentation of semi-Markov models with finitely many states, in view of solving real life problems of risk management in three main fields: Finance, Insurance and Reliability. important feature of this book is its presentation of both homogenous and non-homogenous models. This book addresses a very large public as it includes undergraduate and graduate students in mathematics and applied mathematics, in economics and business studies, actuaries, financial intermediaries, engineers and operation researchers. (Nico G. Gamkrelidze, Zentralblatt MATH, Vol. 1144, 2008)


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