Modern Computational Finance
eBook - ePub

Modern Computational Finance

AAD and Parallel Simulations

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Modern Computational Finance

AAD and Parallel Simulations

About this book

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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Yes, you can access Modern Computational Finance by Antoine Savine in PDF and/or ePUB format, as well as other popular books in Mathematics & Finance. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2018
Print ISBN
9781119539452
eBook ISBN
9781119539520
Edition
1
Subtopic
Finance

Table of contents

  1. Cover
  2. Table of Contents
  3. Preface by Leif Andersen
  4. Acknowledgments
  5. Introduction
  6. About the Companion C++ Code
  7. PART I: Modern Parallel Programming
  8. PART II: Parallel Simulation
  9. PART III: Constant Time Differentiation
  10. Debugging AAD Instrumentation
  11. Conclusion
  12. References
  13. Index
  14. End User License Agreement