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Herausgeber: 
  • Claudio Pizzi
  • Marco Corazza
  • Mathematical and Statistical Methods for Actuarial Sciences and Finance 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  August 2016  
    Genre:  Wirtschaft / Recht 
     
    Actuarial Mathematics / Actuarial science / Actuarial Sciences / B / Economics, finance, business & management / Economics, Mathematical / Finance / Finance, general / Financial Economics / Insurance & actuarial studies / macroeconomics / Macroeconomics and Monetary Economics / Macroeconomics/Monetary Economics//Financial Economics / Mathematics and Statistics / Mathematics in Business, Economics and Finance / Monetary Economics / Probability & statistics / Quantitative Finance / Statistics
    ISBN:  9783319378985 
    EAN-Code: 
    9783319378985 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 18 mm 
    Gewicht:  493 gr 
    Seiten:  324 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The interaction between mathematicians and statisticians has been shown to be an e?ective approach for dealing with actuarial, insurance and ?nancial problems, both from an academic perspective and from an operative one. The collection of original papers presented in this volume pursues precisely this purpose. It covers a wide variety of subjects in actuarial, insurance and ?nance ?elds, all treated in the light of the successful cooperation between the above two quantitative approaches.

    The papers published in this volume present theoretical and methodological contributions and their applications to real contexts. With respect to the theoretical and methodological contributions, some of the considered areas of investigation are: actuarial models; alternative testing approaches; behavioral ?nance; clustering techniques; coherent and non-coherent risk measures; credit scoring approaches; data envelopment analysis; dynamic stochastic programming; ?nancial contagion models; ?nancial ratios; intelligent ?nancial trading systems; mixture normality approaches; Monte Carlo-based methods; multicriteria methods; nonlinear parameter estimation techniques; nonlinear threshold models; particle swarm optimization; performance measures; portfolio optimization; pricing methods for structured and non-structured derivatives; risk management; skewed distribution analysis; solvency analysis; stochastic actuarial valuation methods; variable selection models; time series analysis tools. As regards the applications, they are related to real problems associated, among the others, to: banks; collateralized fund obligations; credit portfolios; de?ned bene?t pension plans; double-indexed pension annuities; ef?cient-market hypothesis; exchange markets; ?nancial time series; ?rms; hedge funds; non-life insurance companies; returns distributions; socially responsible mutual funds; unit-linked contracts.

    This book is aimed at academics, Ph.D. students, practitioners, professionals and researchers. But it will also be of interest to readers with some quantitative background knowledge.

      
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