Financial Instrument Pricing Using C++

Informationen zum Autor DANIEL J. DUFFY started the company Datasim in 1987 to promote C++ as a new object-oriented language for developing applications in the roles of developer, architect and requirements analyst to help clients design and analyse software systems for Computer Aided Design (CAD), process control and hardware- software systems, logistics, holography (optical technology) and computational finance. He used a combination of top-down functional decomposition and bottom-up object-oriented programming techniques to create stable and extendible applications. Prior to Datasim, he worked on engineering and financial applications in oil and gas and semiconductor industries using a range of numerical methods (for example, the finite element method [FEM]) on mainframe and mini-computers. Duffy has BA (Mod), MSc and PhD degrees in pure, numerical and applied mathematics and has been active in promoting partial differential equation (PDE) and finite difference methods (FDM) to applications in computational finance. He was responsible for the introduction of the Fractional Step ("Soviet Splitting") method and the Alternating Direction Explicit (ADE) method in computational finance. He is the originator of two very popular and leading C++ online courses (both C++98 and C++11/14/17) on www.quantnet.com in cooperation with Quantnet LLC and Baruch College (CUNY), NYC. He also trains quants, developers and designers around the world. Duffy can be contacted at dduffy@datasim.nl. In his spare time, he tries to keep in shape by workouts in the dojo. Klappentext The New Way C++ Does Computational Finance The goal of Financial Instrument Pricing Using C++, Second Edition, is to apply modern C++ language and design features to the creation of efficient and robust applications. This book not only documents these developments, but also highlights the advantages for the quant developer: Comprehensive and detailed exposition of improved and new C++ syntax; extensive examples and application code Using C++11 libraries for random number generation, concurrency, STL and more Overhaul of object-oriented design patterns and porting them to a multiparadigm programming model IEEE 754 and multiprecision; interfacing C++ with .NET and C# Modern PDE/FDM: ADE; Soviet Splitting and Method of Lines, (Parallel) Monte Carlo and lattice methods Support for numerical libraries Machine-readable code Daniel Duffy used a spiral model approach in writing each chapter of this book: analyse a little, design a little, and code a little. Each cycle ends with a working prototype in C++ and shows how a given algorithm or numerical method works. Additionally, each chapter contains non-trivial exercises and projects that discuss improvements and extensions to the material. This book is for designers and application developers in computational finance, and assumes the reader has some fundamental experience of C++ and derivatives pricing. Zusammenfassung An integrated guide to C++ and computational financeThis complete guide to C++ and computational finance is a follow-up and major extension to Daniel J. Duffy's 2004 edition of Financial Instrument Pricing Using C++. Both C++ and computational finance have evolved and changed dramatically in the last ten years and this book documents these improvements. Duffy focuses on these developments and the advantages for the quant developer by: Delving into a detailed account of the new C++11 standard and its applicability to computational finance. Using de-facto standard libraries, such as Boost and Eigen to improve developer productivity. Developing multiparadigm software using the object-oriented, generic, and functional programming styles. Designing flexible numerical algorithms: modern numerical methods and multiparadigm design patterns.* Providing a detailed explanation of the Finite Difference Methods through six chapters, including new dev...

Auteur

DANIEL J. DUFFY started the company Datasim in 1987 to promote C++ as a new object-oriented language for developing applications in the roles of developer, architect and requirements analyst to help clients design and analyse software systems for Computer Aided Design (CAD), process control and hardware- software systems, logistics, holography (optical technology) and computational finance. He used a combination of top-down functional decomposition and bottom-up object-oriented programming techniques to create stable and extendible applications. Prior to Datasim, he worked on engineering and financial applications in oil and gas and semiconductor industries using a range of numerical methods (for example, the finite element method [FEM]) on mainframe and mini-computers. Duffy has BA (Mod), MSc and PhD degrees in pure, numerical and applied mathematics and has been active in promoting partial differential equation (PDE) and finite difference methods (FDM) to applications in computational finance. He was responsible for the introduction of the Fractional Step ("Soviet Splitting") method and the Alternating Direction Explicit (ADE) method in computational finance. He is the originator of two very popular and leading C++ online courses (both C++98 and C++11/14/17) on www.quantnet.com in cooperation with Quantnet LLC and Baruch College (CUNY), NYC. He also trains quants, developers and designers around the world. Duffy can be contacted at dduffy@datasim.nl. In his spare time, he tries to keep in shape by workouts in the dojo.

Texte du rabat

The New Way C++ Does Computational Finance The goal of Financial Instrument Pricing Using C++, Second Edition, is to apply modern C++ language and design features to the creation of efficient and robust applications. This book not only documents these developments, but also highlights the advantages for the quant developer:

• Comprehensive and detailed exposition of improved and new C++ syntax; extensive examples and application code
• Using C++11 libraries for random number generation, concurrency, STL and more
• Overhaul of object-oriented design patterns and porting them to a multiparadigm programming model
• IEEE 754 and multiprecision; interfacing C++ with .NET and C#
• Modern PDE/FDM: ADE; Soviet Splitting and Method of Lines, (Parallel) Monte Carlo and lattice methods
• Support for numerical libraries
• Machine-readable code Daniel Duffy used a spiral model approach in writing each chapter of this book: analyse a little, design a little, and code a little. Each cycle ends with a working prototype in C++ and shows how a given algorithm or numerical method works. Additionally, each chapter contains non-trivial exercises and projects that discuss improvements and extensions to the material. This book is for designers and application developers in computational finance, and assumes the reader has some fundamental experience of C++ and derivatives pricing.

Résumé
An integrated guide to C++ and computational finance This complete guide to C++ and computational finance is a follow-up and major extension to Daniel J. Duffy's 2004 edition of Financial Instrument Pricing Using C++. Both C++ and computational finance have evolved and changed dramatically in the last ten years and this book documents these improvements. Duffy focuses on these developments and the advantages for the quant developer by: Delving into a detailed account of the new C++11 standard and its applicability to computational finance. Using de-facto standard libraries, such as Boost and Eigen to improve developer productivity. Developing multiparadigm software using the object-oriented, generic, and functional programming styles. Designing flexible numerical algorithms: modern numerical methods and multiparadigm design patterns. * Providing a detailed explanation of the Finite Difference Methods through six chapters, including new developments such as ADE, Method of Lines (MOL), and Uncertain Volatility Models.…