| 'This is a short book, but an elegant one. It would serve as an excellent course text for a course on the practical aspects of mathematical finance.' International Statistical Institute
'This book is thought-provoking and rewarding. Even for the less experienced programmer, the presentation is readily accessible, and the coded examples can be directly used to solve real-life problems.' Journal of the American Statistics Association
'This book, although it is quite short, does cover a significant amount of material and does deal with some fairly advanced topics that are important to practitioners. The real strength of the book is its clarity and conciseness.' SIAM Review
Newly updated second edition and now in paperback! This is the first book on implementing financial models using object-oriented C++. Assuming only a basic knowledge of C++ and mathematical finance, the reader learns how to produce well-designed, structured, reusable code via carefully-chosen examples. This new edition includes several new chapters covering topics of increasing robustness in the presence of exceptions, designing a generic factory, interfacing C++ with EXCEL, and improving code design using the idea of decoupling. Complete ANSI/ISO compatible C++ source code is hosted on an accompanying website for the reader to study in detail, and reuse as they see fit. Whether you are a student of financial mathematics, a working quantitative analyst or financial mathematician, you need this book. Offering practical steps for implementing pricing models for complex financial products, it will transform your understanding of how to use C++.
Using carefully-chosen examples, this book explains how to create well-designed, structured, reusable code, particularly for financial applications. New chapters explain interfacing C++ with EXCEL, designing a generic factory, and improving code design with decoupling. Complete ANSI/ISO compatible C++ source code is hosted on an accompanying web site.
About the Author
Mark S. Joshi is an Associate Professor in the Centre for Actuarial Studies at the University of Melbourne. |
