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Statistical Tools for Finance and Insurance [Paperback]

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  • Category: Books (Business & Economics)
  • ISBN-10:  3642180612
  • ISBN-10:  3642180612
  • ISBN-13:  9783642180613
  • ISBN-13:  9783642180613
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  442
  • Pages:  442
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2011
  • Pub Date:  01-Feb-2011
  • SKU:  3642180612-11-SPRI
  • SKU:  3642180612-11-SPRI
  • Item ID: 100890561
  • List Price: $109.99
  • Seller: ShopSpell
  • Ships in: 5 business days
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  • Delivery by: Jul 11 to Jul 13
  • Notes: Brand New Book. Order Now.

Statistical Tools for Finance and Insurance presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field, this book offers a unique combination of topics from which every market analyst and risk manager will benefit.

Features of the significantly enlarged and revised second edition:

  • Offers insight into new methods and the applicability of the stochastic technology
  • Provides the tools, instruments and (online) algorithms for recent techniques in quantitative finance and modern treatments in insurance calculations
  • Covers topics such as
    - expected shortfall for heavy tailed and mixture distributions*
    - pricing of variance swaps*
    - volatility smile calibration in FX markets
    - pricing of catastrophe bonds and temperature derivatives*
    - building loss models and ruin probability approximation
    - insurance pricing with GLM*
    - equity linked retirement plans*(new topics in the second edition marked with*)
  • Presents extensive examples

This book presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. It offers a unique combination of topics that will benefit every market analyst and risk manager.

I Finance: Models for heavy-tailed asset returns (Szymon Borak, Adam Misiorek, and Rafa l Weron).- ?Expected shortfall (Simon A. Broda and Marc S. Paolella).- Modelling conditional heteroscedasticity in nonstationary series (Pavel C?~ek).- FX smile in the Heston model (Agnieszka Janek, Tino Kluge, RafaB l# 

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