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About this product
- DescriptionDriven by concrete computational problems in quantitative finance, this book provides aspiring quant developers with the numerical techniques and programming skills they need. The authors start from scratch, so the reader does t need any previous experience of C++. Beginning with straightforward option pricing on bimial trees, the book gradually progresses towards more advanced topics, including nlinear solvers, Monte Carlo techniques for path-dependent derivative securities, finite difference methods for partial differential equations, and American option pricing by solving a linear complementarity problem. Further material, including solutions to all exercises and C++ code, is available online. The book is ideal preparation for work as an entry-level quant programmer and it gives readers the confidence to progress to more advanced skill sets involving C++ design patterns as applied in finance.
- Author BiographyMaciej J. Capinski is an Associate Professor in the Faculty of Applied Mathematics at AGH University of Science and Technology in Krakow, Poland. His interests include mathematical finance, financial modelling, computer assisted proofs in dynamical systems and celestial mechanics. He has authored eight research publications and supervised over thirty MSc dissertations, mostly in mathematical finance. Tomasz Zastawniak holds the Chair of Mathematical Finance at the University of York. He has authored about fifty research publications and four books. He has supervised four PhD dissertations and around eighty MSc dissertations in mathematical finance.
- Author(s)Maciej J. Capinski,Tomasz Zastawniak
- PublisherCambridge University Press
- Date of Publication02/08/2012
- SubjectFinance & Accounting
- Series TitleMastering Mathematical Finance
- Place of PublicationCambridge
- Country of PublicationUnited Kingdom
- ImprintCambridge University Press
- Content Note15 b/w illus. 45 exercises
- Weight290 g
- Width152 mm
- Height228 mm
- Spine11 mm
- Format DetailsTrade paperback (US)
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