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Autor(en): 
  • Gareth W. Peters
  • Pavel V. Shevchenko
  • Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Juni 2015  
    Genre:  Schulbücher 
     
    Betriebsrisiko / Finance & Investments / Financial Engineering / Finanz- u. Anlagewesen / Finanz- u. Wirtschaftsstatistik / Finanztechnik / Insurance & Risk Management / Statistics / Statistics for Finance, Business & Economics / Statistik / Versicherungswesen u. Risikomanagement
    ISBN:  9781118909539 
    EAN-Code: 
    9781118909539 
    Verlag:  John Wiley & Sons Inc 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Wiley Handbooks in Financial Engineering and Econometrics  
    Dimensionen:  H 166 mm / B 243 mm / D 35 mm 
    Gewicht:  1100 gr 
    Seiten:  656 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    A cutting-edge guide for the theories, applications, and statistical methodologies essential to heavy tailed risk modeling Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk presents comprehensive coverage of the latest research on the theories and applications in risk measurement and modeling techniques. Featuring a unique balance of mathematical and statistical perspectives, the handbook begins by introducing the motivation for heavy tailed risk processes in high consequence low frequency loss modeling. With a companion, Fundamental Aspects of Operational Risk and Insurance Analytics: A Handbook of Operational Risk, the book provides a complete framework for all aspects of operational risk management and includes: * Clear coverage on advanced topics such as splice loss models, extreme value theory, heavy tailed closed form loss distributional approach models, flexible heavy tailed risk models, risk measures, and higher order asymptotic approximations of risk measures for capital estimation * An exploration of the characterization and estimation of risk and insurance modelling, which includes sub-exponential models, alpha-stable models, and tempered alpha stable models * An extended discussion of the core concepts of risk measurement and capital estimation as well as the details on numerical approaches to evaluation of heavy tailed loss process model capital estimates * Numerous detailed examples of real-world methods and practices of operational risk modeling used by both financial and non-financial institutions Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk is an excellent reference for risk management practitioners, quantitative analysts, financial engineers, and risk managers. The book is also a useful handbook for graduate-level courses on heavy tailed processes, advanced risk management, and actuarial science.

      
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