• Anglický jazyk

Advanced Quantitative Finance with Modern C++

Autor: Aaron de La Rosa

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... Viac o knihe

Predpokladaný dátum vydania: 26.12.2025

69.29 €

bežná cena: 76.99 €

O knihe

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.

  • Vydavateľstvo: APRESS L.P.
  • Rok vydania: 2025
  • Formát: Paperback
  • Rozmer: 235 x 155 mm
  • Jazyk: Anglický jazyk
  • ISBN: 9798868820588

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