Algorithmic Differentiation in Finance Explained
Language: English
Published by Springer, Berlin, Springer International Publishing, Macmillan Education Sep 2017, 2017
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 30.85
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides the first practical guide to the function and implementation of algorithmic differentiation in finance. Written in a highly accessible way, Algorithmic Differentiation Explained will take readers through all the major applications of AD in the derivatives setting with a focus on implementation.Algorithmic Differentiation (AD) has been popular in engineering and computer science, in areas such as fluid dynamics and data assimilation for many years. Over the last decade, it has been increasingly (and successfully) applied to financial risk management, where it provides an efficient way to obtain financial instrument price derivatives with respect to the data inputs. Calculating derivatives exposure across a portfolio is no simple task. It requires many complex calculations and a large amount of computer power, which in prohibitively expensive and can be time consuming. Algorithmic differentiation techniques can be very successfully in computing Greeks and sensitivities of a portfolio with machine precision. Written by a leading practitioner who works and programmes AD, it offers a practical analysis of all the major applications of AD in the derivatives setting and guides the reader towards implementation. Open source code of the examples is provided with the book, with which readers can experiment and perform their own test scenarios without writing the related code themselves. 103 pp. Englisch.…
Seller Inventory # 9783319539782
- Title
- Algorithmic Differentiation in Finance Explained
- Author
- Marc Henrard
- Publisher
- Springer, Berlin, Springer International Publishing, Macmillan Education Sep 2017
- Publication year
- 2017
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319539787
- ISBN 13
- 9783319539782
- Item weight
- 210 grams
- Dimensions
- 240x160x5 mm
- Series
- Book 8 of 9: Financial Engineering Explained
Discusses Algorithmic Differentiation specifically applied to finance
Provides guidance on theory and the practical application to financial markets
Offers working code for testing and analysis
"Synopsis" may belong to another edition of this title.
About the Author
Marc Henrard is Head of Quantitative Research and Advisory Partner at OpenGamma, a provider of derivatives risk analytics solutions. Marc is also an Visiting Professor at University College London. He has over 15 years' experience in finance, including senior positions in risk management, trading, and quantitative analysis. Prior to joining OpenGamma, Marc was in charge of researching and implementing interest rate models as the Head of Interest Rate Modelling for the Dexia Group. Previously he held various management positions at the Bank for International Settlements as Deputy Head of Treasury Risk, Deputy Head of Interest Rate Trading and Head of Quantitative Research. Marc holds a PhD in Mathematics from the University of Louvain, Belgium. Prior to his career in finance he was a research scientist and university lecturer for 8 years.
Marc's research focuses on interest rate modelling, risk management and market infrastructure. He publishes on a regular basis in international finance journals and is a regular speaker at practitioner and academic conferences.
"About the title" may belong to another edition of this title.
BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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