02851nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003100137040000900168082001400177100003100191245013100222264003800353300003500391336002600426337002600452338003900478347002400517505047000541520088401011650001701895650001301912650002401925650003901949650002301988650001702011650004902028650002602077650002202103650002502125650002402150700003002174710003402204773002002238776003602258856009902294978-0-387-70730-3DE-He21320260521091933.0cr nn 008mamaa100301s2007    xxu|    s    |||| 0|eng d  a9780387707303  a997803877073037 a10.1007/0-387-70730-12doi  cCICY04a519.22231 aJacques, Janssen.eauthor.10aSemi-Markov Risk Models for Finance, Insurance and Reliabilityh[recurso electrónico] /cby Janssen Jacques, Manca Raimondo. 1aBoston, MA :bSpringer US,c2007.  aXVII, 429 p.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  arecurso en líneabcr2rdacarrier  atext filebPDF2rda0 aProbability 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.  aThis 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. 0aMATHEMATICS. 0aFINANCE. 0aNUMERICAL ANALYSIS. 0aDISTRIBUTION (PROBABILITY THEORY). 0aBANKS AND BANKING.14aMATHEMATICS.24aPROBABILITY THEORY AND STOCHASTIC PROCESSES.24aQUANTITATIVE FINANCE.24aFINANCE /BANKING.24aFINANCIAL ECONOMICS.24aNUMERICAL ANALYSIS.1 aRaimondo, Manca.eauthor.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z978038770729740uhttp://dx.doi.org/10.1007/0-387-70730-1zVer el texto completo en las instalaciones del CICY