04709nam 22006255 450 991104922170332120260102122956.0979-88-6882-059-510.1007/979-8-8688-2059-5(CKB)44770035600041(MiAaPQ)EBC32470632(Au-PeEL)EBL32470632(CaSebORM)9798868820595(OCoLC)1568048413(OCoLC-P)1568048413(DE-He213)979-8-8688-2059-5(OCoLC)1565427563(EXLCZ)994477003560004120260102d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAdvanced Quantitative Finance with Modern C++ Interest Rate Modeling and Advanced Derivatives /by Aaron De La Rosa1st ed. 2025.Berkeley, CA :Apress :Imprint: Apress,2025.1 online resource (759 pages)Professional and Applied Computing SeriesDescription based upon print version of record.979-88-6882-058-8 Single Factor Black-Scholes with Finite Difference Methods,- 2. Random Number Generation -- 3. Vasicek and Hull-White Single-Factor Models -- 4. Extended One-Factor Models — Hull-White and Black-Karasinski -- 5. CIR, Black-Derman-Toy, and Interest Rate Swaps -- 6. BDT and Hull-White Tree Construction -- 7. Black-Karasinski Trees and Swap Applications -- 8. Two-Factor Gaussian and Hull-White Extensions -- 9. Libor Market Models and Foundational HJM -- 10. HJM Extensions, BGM, and Advanced LMM -- 11. Bermudan Swaptions and Straddles -- 12. Exotic Multi-Asset, Barrier, and Hybrid Options -- 13. Credit Derivatives and Currency Instruments -- 14. Total Return, Trigger, and Cross-Currency Swaps -- 15. Other Exotic and Hybrid Derivatives.From the elegance of the Black–Scholes equation to the complexity of multi-factor interest rate models and hybrid derivatives, this book is your comprehensive guide to quantitative finance, complete with 15+ advanced C++ projects using QuantLib and Boost. You’ll move seamlessly from mathematical foundations to real-world implementation, building a professional-grade toolkit for pricing, risk analysis, and calibration. Inside, you will learn core option pricing methods, master single-and multi-factor interest rate models, and construct and calibrate trees and lattices for advanced derivates. You will also explore cutting edge products: exotic multi-asset options, hybrid derivatives, credit instruments, and cross-currency swaps. Packed with practical source code, step-by-step calibrations, and performance-tuned Boost integration, this book bridges the gap between academic finance and production-grade quant development. Whether you’re a quant developer, financial engineer, or an advanced student, you’ll gain the skills to design, implement, and deploy derivatives pricing models ready for the trading floor. You Will: Understand the mathematics behind Black–Scholes, Vasicek, Hull–White, CIR, BDT, Black–Karasinski, and other core models. Apply finite difference schemes, trinomial trees, and Monte Carlo simulations for derivative pricing. Build and value swaps, swaptions, FRAs, bonds, callable/convertible debt, and multi-curve term structures. Implement barrier, multi-asset, hybrid, and structured products in C++. Model credit default swaps, cross-currency swaps, and total return structures. Use QuantLib and Boost to create production-grade pricing engines and calibration tools. Employ Gaussian models, market models, and global optimizers for fitting market data. Integrate code into professional workflows, ensuring speed, accuracy, and maintainability.Professional and Applied Computing SeriesC++ (Computer program language)Social sciencesMathematicsMathematicsData processingC++Mathematics in Business, Economics and FinanceComputational Mathematics and Numerical AnalysisC++ (Computer program language).Social sciencesMathematics.MathematicsData processing.C++.Mathematics in Business, Economics and Finance.Computational Mathematics and Numerical Analysis.005.13/3De La Rosa Aaron1885829MiAaPQMiAaPQMiAaPQBOOK9911049221703321Advanced Quantitative Finance with Modern C++4521941UNINA