This book is directed at both industry practitioners and students
interested in designing a pricing and risk management framework for
financial derivatives using the Python programming language.
It is a practical book complete with working, tested code that guides
the reader through the process of building a flexible, extensible
pricing framework in Python. The pricing frameworks' loosely coupled
fundamental components have been designed to facilitate the quick
development of new models. Concrete applications to real-world pricing
problems are also provided.
Topics are introduced gradually, each building on the last. They include
basic mathematical algorithms, common algorithms from numerical analysis,
trade, market and event data model representations, lattice and simulation
based pricing, and model development. The mathematics presented is kept
simple and to the point.
The book also provides a host of information on practical technical
topics such as C++/Python hybrid development (embedding and extending)
and techniques for integrating Python based programs with Microsoft Excel.
The book is accompanied by a CD ROM containing a code library; and
a companion website www.wiley.com/go/fletcher_python which will feature
code-based updates relating to Python 3.0.
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