SABR and SABR LIBOR Market Models in Practice: With Examples Implemented in Python

Author:   Christian Crispoldi ,  Gérald Wigger ,  Peter Larkin
Publisher:   Palgrave Macmillan
Edition:   1st ed. 2015
ISBN:  

9781137378637


Pages:   216
Publication Date:   29 September 2015
Format:   Hardback
Availability:   In Print   Availability explained
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SABR and SABR LIBOR Market Models in Practice: With Examples Implemented in Python


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Author:   Christian Crispoldi ,  Gérald Wigger ,  Peter Larkin
Publisher:   Palgrave Macmillan
Imprint:   Palgrave Macmillan
Edition:   1st ed. 2015
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.515kg
ISBN:  

9781137378637


ISBN 10:   1137378638
Pages:   216
Publication Date:   29 September 2015
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Christian Crispoldi is a Vice President at Nomura Holding America Inc., in New York where he is responsible for the valuation and pricing of interest rate derivatives. Previously he worked as a financial engineer in various banks across Europe. Christian holds a Masters degree in Mathematical Finance from the University of York, UK, and a bachelor degree in Computer Engineering from the University of Bologna, Italy. Gérald Wigger is Head of Quantitative Analysis at Weisshorn Re. He previously worked in various roles such as Head of Pricing at Axa Winterthur, Head of Risk Modeling at Zürcher Kantonalbank and Interest Rate Derivatives Quant at Bank of America Merril Lynch. Gérald holds a PhD in Solid State Physics from ETH Zurich. Peter Larkin is a Data Scientist working on building predictive models using big data in the (re) insurance industry. Previously he worked as a Quantitative Analyst in the financial services industry working on projects spanning the pricing of structured products, credit and market risk, and asset management. Peter has a background in Theoretical Physics and received his PhD from the University of York in 2008, previously having obtained his Masters at Cambridge University and BSc at Imperial College London. In 2012 he also completed a MSc in Mathematical Finance from the University of Oxford.  

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