£94.56

CRC Press Quantitative Finance with Python - Practical Guide

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£104.07 £77.56 £83.34 £89.13 £94.91 £100.70 £106.48 28 April 2026 20 May 2026 12 June 2026 04 July 2026 27 July 2026

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3 days 25 days 31 days 25 days · current 7 days 0 8 16 23 31 £80-85 £85-90 £90-94 £94-99 £99-104 Days at Price

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Most common range: £90-94 (31 days, 34.1%)

Price range: £80 - £104

Price levels: 5 price ranges over 91 days

Description

Bridge the gap between mathematical finance theory and real-world application with Quantitative Finance with Python. This guide from the Chapman and Hall/CRC Financial Mathematics Series provides a hands-on approach to mastering derivative pricing and portfolio management. Designed for students and professionals, the text offers a rigorous introduction to foundational quant finance topics. By focusing on practical implementation, the book helps readers navigate complex concepts such as options pricing, portfolio optimization, and machine learning. It is specifically structured to benefit institutional investors by applying mathematical concepts to practical financial engineering tasks. Whether you are studying financial mathematics or looking to enhance your investment management skills, this resource provides the technical grounding needed for modern trading environments.

Key Features

Hands-on introduction to foundational quantitative finance topics including options pricing and portfolio optimization.

Practical application of machine learning techniques within the context of financial engineering and trading.

Bridges the gap between complex mathematical theory and real-world derivative pricing and management.

Designed with a strong focus on practical use cases for institutional investors and financial professionals.

Part of the respected Chapman and Hall/CRC Financial Mathematics Series for academic and professional rigor.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 May 2022
Listed Since
22 November 2021

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