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    DERIVATIVES ALGORITHMS
    Volume 1: Bones

    by Tom Hyer (UBS, UK)

    Table of Contents (139k)
    Chapter 1: Introduction (104k)

    Derivatives Algorithms provides a unique expert overview of the abstractions and coding methods which support real-world derivatives trading. Written by an industry professional with extensive experience in large-scale trading operations, it describes the fundamentals of library code structure, and innovative advanced solutions to thorny issues in implementation. For the reader already familiar with C++ and arbitrage-free pricing, the book offers an invaluable glimpse of how they combine on an industrial scale. Topics range from interface design through code generation to the protocols that support ever more complex trades and models.

     
    Contents:
    • Principles
    • Types and Interfaces
    • Vector and Matrix Computations
    • Persistence and Memory
    • Testing Framework
    • Further Maths
    • Schedules
    • Indices
    • Pricing Protocols
    • Standardized Trades
    • Curves
    • Models
    • Semianalytic Pricers
    • Risk
    • Additional Code
     
    Readership: Practicing quants, financial IT professionals and financial engineers.
     
    “Aristotle once said ‘Those who know, do. Those who understand, teach.’ The quantitative finance community is very lucky that Tom Hyer, who both knows and understands, has written this short book. It covers a lot of ground and shows the why and the how of industrial-scale derivatives pricing and risk management. This book is a must for practitioners, and useful for academics as well.”
    Alexander Lipton
    Co-head of the Global Quantitative Group, Bank of America Merrill Lynch
    and Visiting Professor of Mathematics, Imperial College London
     
    “The name may not be widely known, but Tom Hyer is among the elite of industry quants and is highly regarded by his peers. Finally, the secretive Black Prince of analytics has unveiled some of his tricks in a book that must not be missed by anyone, from a newbie trying to land a first job to a seasoned veteran who thinks he knows it all.”
    Vladimir V Piterbarg
    Global Head of Quantitative Analytics, Barclays Capital
     
    320pp    Pub. date: Apr 2010  
    ISBN:   978-981-4289-80-1
    981-4289-80-9
       US$58 / £38

     


    320pp    Pub. date: Apr 2010  
    ISBN:   978-981-4289-88-7(ebook)
    981-4289-88-4(ebook)
       US$75

     


     

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    Updated on 10 February 2012