Numerical Methods in Finance with C++ /
Capiński, Maciej J.,
Numerical Methods in Finance with C++ / Maciej J. Capiński, Tomasz Zastawniak. - 1 online resource (175 pages) : digital, PDF file(s). - Mastering Mathematical Finance . - Mastering Mathematical Finance. .
Title from publisher's bibliographic system (viewed on 04 Apr 2016).
Driven 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 not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear 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.
9781139017404 (ebook)
C++ (Computer program language)
HG106 / .C363 2012
332.0285/513
Numerical Methods in Finance with C++ / Maciej J. Capiński, Tomasz Zastawniak. - 1 online resource (175 pages) : digital, PDF file(s). - Mastering Mathematical Finance . - Mastering Mathematical Finance. .
Title from publisher's bibliographic system (viewed on 04 Apr 2016).
Driven 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 not need any previous experience of C++. Beginning with straightforward option pricing on binomial trees, the book gradually progresses towards more advanced topics, including nonlinear 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.
9781139017404 (ebook)
C++ (Computer program language)
HG106 / .C363 2012
332.0285/513