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A01=Antoine Savine
A01=Jesper Andreasen
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Author_Jesper Andreasen
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Modern Computational Finance: Scripting for Derivatives and xVA

English

By (author): Antoine Savine Jesper Andreasen

An incisive and essential guide to building a complete system for derivative scripting 

In Volume 2 of Modern Computational Finance Scripting for Derivatives and xVA, quantitative finance experts and practitioners Drs. Antoine Savine and Jesper Andreasen deliver an indispensable and insightful roadmap to the interrogation, aggregation, and manipulation of cash-flows in a variety of ways. The book demonstrates how to facilitate portfolio-wide risk assessment and regulatory calculations (like xVA). 

Complete with a professional scripting library written in modern C++, this stand-alone volume walks readers through the construction of a comprehensive risk and valuation tool. This essential book also offers: 

  • Effective strategies for improving scripting libraries, from basic exampleslike support for dates and vectorsto advanced improvements, including American Monte Carlo techniques 
  • Exploration of the concepts of fuzzy logic and risk sensitivities, including support for smoothing and condition domains 
  • Discussion of the application of scripting to xVA, complete with a full treatment of branching 

Perfect for quantitative analysts, risk professionals, system developers, derivatives traders, and financial analysts, Modern Computational Finance Scripting for Derivatives and xVA: Volume 2 is also a must-read resource for students and teachers in masters and PhD finance programs. 

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Current price €80.09
Original price €88.99
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A01=Antoine SavineA01=Jesper AndreasenAge Group_UncategorizedAuthor_Antoine SavineAuthor_Jesper Andreasenautomatic-updateCategory1=Non-FictionCategory=KFFHCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 590g
  • Dimensions: 160 x 231mm
  • Publication Date: 20 Dec 2021
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781119540786

About Antoine SavineJesper Andreasen

ANTOINE SAVINE is a mathematician and derivatives practitioner with 25 years of leadership experience with global investment banks. He wrote the book on automatic adjoint differentiation (AAD) and co-developed Differential Machine Learning. He was also influential in volatility modeling and many areas of numerical and computational finance. Antoine works with Superfly Analytics at Danske Bank winner of the 2019 Excellence in Risk Management and Modelling RiskMinds award. He holds a PhD in Mathematical Finance from Copenhagen University where he teaches quantitative and computational finance. Jesper Andreasen heads the Quantitative Research department at Saxo Bank. Over a 25 year long career he has held senior roles in quant departments of Bank of America Nordea and General Re Financial Products and he founded and headed the Superfly Analytics department at Danske Bank. Jesper co-received Risk magazines 2001 and 2012 Quant of the year awards and their In-House Risk System of the year award in 2015. He is an honorary professor of Mathematical Finance at Copenhagen University and completed his PhD in the same subject at Aarhus University in 1997.

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