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)

Suitable for those working in related fields from applied mathematicians to statisticians to actuaries and operations researchers, this book presents applications of semi-Markov processes in finance, insurance and reliability, using real-life problems as examples.
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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.

Audience

This book is intended for applied mathematicians, statisticians, financial intermediaries, actuaries, engineers, operations researchers.

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Produktdetaljer

ISBN
9780387707297
Publisert
2007-03-26
Utgiver
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
156 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
18