Mastering Quantitative Finance with Modern C++ : Foundations, Derivatives, and Computational Methods / by Aaron De la Rosa.

Format:

Book

Author/Creator:

De la Rosa, Aaron.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

C++ (Computer program language).

Finance--Data processing.

Finance.

Physical Description:

1 online resource (647 pages)

Edition:

1st ed. 2025.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2025.

Summary:

Learn to build robust, scalable financial models to position yourself as an expert in computational finance. At a time when the financial industry demands an increasingly complex and accurate mode, this book ensures you stay ahead of the curve by leveraging the latest advancements in programming to develop faster, more reliable, and maintainable financial software. To begin, you’ll explore key features of C++23, object-oriented programming, and template-based design patterns critical for building reusable financial components. From there, dive into a range of numerical methods, including Monte Carlo simulations, binomial and trinomial trees, and finite difference schemes. Special attention is given to practical implementation details. Every chapter is designed to guide you step by step in transforming mathematical models into efficient, production-level C++ code. You will also learn to handle exotic derivatives, stochastic volatility, and jump-diffusion models, bridging the gap between theory and practice. In the end, you’ll be equipped with the technical foundation and practical tools needed to design, implement, and analyze complex financial products. You will also be well-prepared to tackle the advanced interest rate and credit derivatives covered in further depth in De La Rosa’s Advanced Quantitative Finance with Modern C++. What You: Master modern C++23 syntax and features, including object-oriented and generic programming. Design flexible option payoff hierarchies for code reuse. Apply advanced numerical techniques such as Monte Carlo, binomial/trinomial trees, and finite difference methods. Calculate and interpret option sensitivities (Greeks). Model and price exotic options, including stochastic volatility and jump-diffusion models. Integrate mathematical finance concepts into production-quality C++ code.

Contents:

1. Introduction to Modern C++23

2. Components of an Object-Oriented C++ Program

3. Option Payoff Hierarchies in C++

4. Generic Programming and Template Classes in C++

5. Introduction to the Standard Template Library (STL) in C++23

6. Function Objects in C++

7. Matrix Classes for Quantitative Finance

8. Numerical Linear Algebra in C++

9. Black Scholes and Pricing Fundamentals

10. Calculating the \Greeks

11. European Options with Monte Carlo Simulation

12. Binomial and Trinomial Trees

13. Finite Difference Methods

14. Asian/Path-Dependent Options with Monte Carlo

15. Exotic Options

16. Implied Volatility

17. Stochastic Volatility

18. Geometric Brownian Motion (GBM) and Jump-Diffusion Models.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

979-88-6881-793-9

OCLC:

1565363139