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Semi-Markov Risk Models for Finance, Insurance and Reliability

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Janssen, Jacques (Autor), Manca, Raimondo (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Janssen, Jacques.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Semi-Markov Risk Models for Finance, Insurance and Reliability  |h [electronic resource] /  |c by Jacques Janssen, Raimondo Manca. 
250 |a 1st ed. 2007. 
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300 |a XVIII, 430 p.  |b online resource. 
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505 0 |a Probability Tools For Stochastic Modelling -- Renewal Theory and Markov Chains -- Markov Renewal Processes, Semi-Markov Processes and Markov Random Walks -- Discrete Time and Reward Smp and their Numerical Treatment -- Semi-Markov Extensions of the Black-Scholes Model -- Other Semi-Markov Models in Finance and Insurance -- Insurance Risk Models -- Reliability and Credit Risk Models -- Generalised Non-Homogeneous Models for Pension Funds and Manpower Management. 
520 |a 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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