{"product_id":"9781119540786","title":"Modern Computational Finance Scripting for Derivatives and xVA","description":"\u003ch1\u003eModern Computational Finance\u003c\/h1\u003e\u003ch2\u003eScripting for Derivatives and xVA\u003c\/h2\u003e\u003ch3\u003eAntoine Savine | Jesper Andreasen\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Applied\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eAn incisive and essential guide to building a complete system for derivative scripting \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn Volume 2 of \u003ci\u003eModern Computational Finance Scripting for Derivatives and xVA,\u003c\/i\u003e 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). \u003c\/p\u003e \u003cp\u003eComplete 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: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eEffective strategies for improving scripting libraries, from basic examples—like support for dates and vectors—to advanced improvements, including American Monte Carlo techniques \u003c\/li\u003e \u003cli\u003eExploration of the concepts of fuzzy logic and risk sensitivities, including support for smoothing and condition domains \u003c\/li\u003e \u003cli\u003eDiscussion of the application of scripting to xVA, complete with a full treatment of branching \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for quantitative analysts, risk professionals, system developers, derivatives traders, and financial analysts, \u003ci\u003eModern Computational Finance Scripting for Derivatives and xVA\u003c\/i\u003e: Volume 2 is also a must-read resource for students and teachers in master’s and PhD finance programs. \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eANTOINE SAVINE\u003c\/b\u003e 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 \u003ci\u003eDifferential Machine Learning.\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJesper Andreasen \u003c\/b\u003eheads 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 \u003ci\u003eRisk\u003c\/i\u003e magazine’s 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. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e02 November 2021\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119540786\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e288\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e20.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44311317053580,"sku":"9781119540786","price":90.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119540786_d9852285-5fb7-4189-bd23-233e45fb33cb.jpg?v=1780114521","url":"https:\/\/lateknightbooks.com\/products\/9781119540786","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}