ISBN: 9798868820588 - advanced quantitative finance with modern c++: interest rate modeling and advanced derivatives (14 resultados)

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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: As New. Unread book in perfect condition.

Taschenbuch. Condición: Neu. Neuware -From the elegance of the BlackScholes 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 LearnUnderstand the mathematics behind BlackScholes, Vasicek, HullWhite, CIR, BDT, BlackKarasinski, 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.Who This Book is for:Quantitative developers, financial engineers, traders, analysts, and graduates students using C++, QuantLib, Boost, and robust tools to price, hedge, and manage risk for complex financial instrumentsand for software engineers aiming to bridge theory and industry practice in quantitative finance.Optional prerequisite: Mastering Quantitative Finance with Modern C++: Foundations, Derivatives, and Computational Methods, for readers who want to build a solid foundation before tackling the advanced models and projects in this book.…

Taschenbuch. Condición: Neu. Neuware - 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 LearnUnderstand 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.Who This Book is for:Quantitative developers, financial engineers, traders, analysts, and graduates students using C++, QuantLib, Boost, and robust tools to price, hedge, and manage risk for complex financial instruments and for software engineers aiming to bridge theory and industry practice in quantitative finance.Optional prerequisite: Mastering Quantitative Finance with Modern C++: Foundations, Derivatives, and Computational Methods, for readers who want to build a solid foundation before tackling the advanced models and projects in this book.…

Taschenbuch. Condición: Neu. Advanced Quantitative Finance with Modern C++ | Interest Rate Modeling and Advanced Derivatives | Aaron de La Rosa | Taschenbuch | xx | Englisch | 2026 | Apress | EAN 9798868820588 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condición: Neu. Neuware -From the elegance of the BlackScholes 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 LearnUnderstand the mathematics behind BlackScholes, Vasicek, HullWhite, CIR, BDT, BlackKarasinski, 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.Who This Book is for:Quantitative developers, financial engineers, traders, analysts, and graduates students using C++, QuantLib, Boost, and robust tools to price, hedge, and manage risk for complex financial instrumentsand for software engineers aiming to bridge theory and industry practice in quantitative finance.Optional prerequisite: Mastering Quantitative Finance with Modern C++: Foundations, Derivatives, and Computational Methods, for readers who want to build a solid foundation before tackling the advanced models and projects in this book. 1100 pp. Englisch.…

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 LearnUnderstand 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.Who This Book is for:Quantitative developers, financial engineers, traders, analysts, and graduates students using C++, QuantLib, Boost, and robust tools to price, hedge, and manage risk for complex financial instruments and for software engineers aiming to bridge theory and industry practice in quantitative finance.Optional prerequisite: Mastering Quantitative Finance with Modern C++: Foundations, Derivatives, and Computational Methods, for readers who want to build a solid foundation before tackling the advanced models and projects in this book. 1100 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 LearnUnderstand 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.Who This Book is for:Quantitative developers, financial engineers, traders, analysts, and graduates students using C++, QuantLib, Boost, and robust tools to price, hedge, and manage risk for complex financial instruments and for software engineers aiming to bridge theory and industry practice in quantitative finance.Optional prerequisite: Mastering Quantitative Finance with Modern C++: Foundations, Derivatives, and Computational Methods, for readers who want to build a solid foundation before tackling the advanced models and projects in this book. 1051 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -From the elegance of the BlackScholes 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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 1100 pp. Englisch.…