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Autor(en): 
  • Xiaonan Wu
  • I-Liang Chern
  • You-Lan Zhu
  • Derivative Securities and Difference Methods 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2011  
    Genre:  Schulbücher 
     
    Applications of Mathematics / Applied mathematics / B / Computational Mathematics and Numerical Analysis / Computer mathematics / Economics, Mathematical / Engineering mathematics / Mathematics and Statistics
    ISBN:  9781441919250 
    EAN-Code: 
    9781441919250 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Springer Finance  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  816 gr 
    Seiten:  513 
    Illustration:  XVIII, 513 p. 14 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
     

    This book is devoted to determining the prices of financial derivatives using a partial differential equation approach. In the first part the authors describe the formulation of the problems (including related free-boundary problems) and derive the closed form solutions if they have been found. The second part discusses how to obtain their numerical solutions efficiently for both European-style and American-style derivatives and for both stock options and interest rate derivatives. The numerical methods discussed are finite-difference methods. The book also discusses how to determine the coefficients in the partial differential equations.

    The aim of the book is to provide readers who have some code writing experience for engineering computations with the skills to develop efficient derivative-pricing codes. The book includes exercises throughout and will appeal to students and researchers in quantitative finance as well as practitioners in the financial industry and code developers.

      



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