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Numerical methods in finance with C++ / Maciej J. Capinski and Tomasz Zastawniak.

By: Contributor(s): Material type: TextTextSeries: Mastering mathematical financePublication details: New York : Cambridge university press, 2012.Description: x, 166 p. : illustrations ; 23 cmISBN:
  • 9780521177160 (pbk.)
Subject(s): DDC classification:
  • 332.0285513 23 C243
Contents:
Preface; 1. Binomial pricer; 2. Binomial pricer revisited; 3. American options; 4. Nonlinear solvers; 5. Monte Carlo methods; 6. Finite difference methods; Index.
Summary: 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.
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Includes index.

Preface;
1. Binomial pricer;
2. Binomial pricer revisited;
3. American options;
4. Nonlinear solvers;
5. Monte Carlo methods;
6. Finite difference methods;
Index.

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.

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