Algorithmic Differentiation in Finance Explained

Éditeur :

Palgrave Macmillan

Paru le : 2017-09-04

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 i...
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À propos

Auteur


Collection
n.c

Parution
2017-09-04

Pages
103 pages

EAN papier
9783319539782

Auteur(s) du livre


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.

Caractéristiques détaillées - droits

EAN PDF
9783319539799
Prix
34,80 €
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
2847 Ko
EAN EPUB
9783319539799
Prix
34,80 €
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
4311 Ko

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