Advanced Quantitative Finance with Modern C++

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 derivatives. 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.

What You Will Learn

• 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++.