Anonymous shelf assessment
Numerical Methods in Finance
Shelf score 7.5 / 10
On Numerical Methods in Finance · Paolo Brandimarte · John Wiley & Sons
Published 23 March 2026
A technical reference on computational methods for financial derivatives.
Overview
This book serves as a comprehensive reference on numerical methods specifically tailored for derivatives and pricing in finance. It covers various computational techniques such as Monte Carlo simulations, tree methods, and finite difference methods, making it a valuable resource for practitioners in the field.
Authored by Paolo Brandimarte and published by John Wiley & Sons in 2006, the text is designed for quantitative analysts and financial engineers who require a deep understanding of the algorithms used in financial computations. Its focus on practical applications ensures that readers can implement these methods effectively in real-world scenarios.
By area & interest
Key Computational Techniques
The book delves into essential computational methods, including Monte Carlo simulations, which are crucial for pricing complex derivatives.
Target Audience
Designed for quants and technologists, this resource is best suited for those with a strong background in quantitative finance and numerical analysis.
Technical Depth
While the book is comprehensive, it is noted for its technical depth, making it more suitable for readers with advanced knowledge in the subject.
Basis of this assessment
Information was derived from the catalogue description and Google Books metadata.
Strengths
The book is a thorough reference on numerical methods, providing detailed algorithms and practical applications relevant to financial derivatives.
Limitations
Its highly technical nature may limit accessibility for readers without a strong quantitative background.
Ideal reader
Ideal for derivatives quants and financial engineers seeking an in-depth understanding of numerical methods in finance.