Modern Computational Finance

Discover the cutting-edge insights of the financial world with "Modern Computational Finance" by Antoine Savine, published in 2018. This comprehensive book spans 592 pages and delves into the revolutionary technology of Algorithmic Adjoint Differentiation (AAD), which has transformed numerical finance over the past decade. AAD is vital for modern financial software, enabling the swift calculation of thousands of accurate risk sensitivities on standard hardware. This essential resource is not only a valuable tool for quantitative analysts, developers, and risk professionals but also serves as a critical component in derivatives education, now featured in Master's and PhD programs. Gain a competitive edge in the finance industry with insights on widespread implementations, like Danske Bank’s remarkable use of AAD in their regulatory and production systems. Equip yourself with the knowledge that drives today's financial decisions and embrace the future of finance with this indispensable text.