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Modern Computational Finance - AAD and Parallel Simuations Volume 1 (Hardcover)
Loot Price: R2,135
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Modern Computational Finance - AAD and Parallel Simuations Volume 1 (Hardcover)
Expected to ship within 12 - 17 working days
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Arguably the strongest addition to numerical finance of the past
decade, Algorithmic Adjoint Differentiation (AAD) is the technology
implemented in modern financial software to produce thousands of
accurate risk sensitivities, within seconds, on light hardware. AAD
recently became a centerpiece of modern financial systems and a key
skill for all quantitative analysts, developers, risk professionals
or anyone involved with derivatives. It is increasingly taught in
Masters and PhD programs in finance. Danske Bank's wide scale
implementation of AAD in its production and regulatory systems won
the In-House System of the Year 2015 Risk award. The Modern
Computational Finance books, written by three of the very people
who designed Danske Bank's systems, offer a unique insight into the
modern implementation of financial models. The volumes combine
financial modelling, mathematics and programming to resolve real
life financial problems and produce effective derivatives software.
This volume is a complete, self-contained learning reference for
AAD, and its application in finance. AAD is explained in deep
detail throughout chapters that gently lead readers from the
theoretical foundations to the most delicate areas of an efficient
implementation, such as memory management, parallel implementation
and acceleration with expression templates. The book comes with
professional source code in C++, including an efficient, up to date
implementation of AAD and a generic parallel simulation library.
Modern C++, high performance parallel programming and interfacing
C++ with Excel are also covered. The book builds the code
step-by-step, while the code illustrates the concepts and notions
developed in the book.
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