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  <titleInfo>
    <title>Semi-Markov Risk Models for Finance, Insurance and Reliability</title>
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  <name type="personal">
    <namePart>Jacques, Janssen.</namePart>
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    <role>
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  <name type="personal">
    <namePart>Raimondo, Manca.</namePart>
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    <dateIssued encoding="marc">2007</dateIssued>
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    <extent>XVII, 429 p. online resource.</extent>
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  <abstract>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.</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">by Janssen Jacques, Manca Raimondo.</note>
  <subject authority="lcsh">
    <topic>MATHEMATICS</topic>
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  <subject authority="lcsh">
    <topic>FINANCE</topic>
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  <subject authority="lcsh">
    <topic>NUMERICAL ANALYSIS</topic>
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  <subject authority="lcsh">
    <topic>DISTRIBUTION (PROBABILITY THEORY)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>BANKS AND BANKING</topic>
  </subject>
  <subject>
    <topic>MATHEMATICS</topic>
  </subject>
  <subject>
    <topic>PROBABILITY THEORY AND STOCHASTIC PROCESSES</topic>
  </subject>
  <subject>
    <topic>QUANTITATIVE FINANCE</topic>
  </subject>
  <subject>
    <topic>FINANCE /BANKING</topic>
  </subject>
  <subject>
    <topic>FINANCIAL ECONOMICS</topic>
  </subject>
  <subject>
    <topic>NUMERICAL ANALYSIS</topic>
  </subject>
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  <identifier type="isbn">9780387707303</identifier>
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  <identifier type="uri">http://dx.doi.org/10.1007/0-387-70730-1</identifier>
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