Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering (Chapman and Hall/CRC Financial Mathematics Series) - Image 1

£82.52

Chapman and Hall/CRC Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering (Chapman and Hall/CRC Financial Mathematics Series)

Name: Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering (Chapman and Hall/CRC Financial Mathematics Series)
Brand: Chapman and Hall/CRC
Price: 91.92 GBP
Availability: InStock

Investments & Securities

Price History & Forecast

Last 23 days • 23 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 23 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £92 (6 days, 26.1%)

Price range: £78 - £92

Price levels: 6 different prices over 23 days

Description

Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. This new edition includes brand new material on data science and AI concepts, including large language models, as well as updated content to reflect the transition from Libor to SOFR to bring the text right up to date. It also includes expanded material on inflation and mortgage-backed securitie, more trade ideas embedded in each chapter and also via a dedicated chapter analyzing a set of derivatives trades. There are additional examples throughout based on recent market dynamics, including the post-Covid inflation shock and its impact on risk parity strategies. Overall, the new edition is designed to be even more of a practical tool than the first edition, and more firmly rooted in real-world data, applications, and examples. Features Useful as both a teaching resource and as a practical tool for professional investors Ideal textbook for first year graduate students in quantitative finance programs, such as those in master’s programs in Mathematical Finance, Quant Finance or Financial Engineering Includes a perspective on the future of quant finance techniques, and in particular covers concepts of Machine Learning and Artificial Intelligence Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.[CK1]

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 1032868007
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Investments & Securities
Domain: Amazon UK
Release Date: 03 December 2025
Listed Since: 08 May 2025

Barcode

No barcode data available

Chapman and Hall/CRC Quantitative Finance with Case Studies in Python: A Practical Guide to Investment Management, Trading and Financial Engineering (Chapman and Hall/CRC Financial Mathematics Series)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Quantitative Finance with Python: A Practical Guide to Investment Management, Trading, and Financial Engineering (Chapman and Hall/CRC Financial Mathematics Series)

Machine Learning for Factor Investing: Python Version (Chapman and Hall/CRC Financial Mathematics Series)

Quant_Py: Python for Quantitative Finance

Practical Quantitative Finance with Python: A Comprehensive Guide to Quantitative Analysis and Trading Strategy Development

Algorithmic Trading and Quantitative Strategies (Chapman and Hall/CRC Financial Mathematics)

Introduction to Financial Derivatives with Python (Chapman and Hall/CRC Financial Mathematics Series)

Quantitative Finance: An Object-Oriented Approach in C++ (Chapman and Hall/CRC Financial Mathematics Series)

Ultimate Quant Job Interview Questions Workbook: Brief Crash Courses and Real Interview Questions taking you from Beginner to Wall Street Offers (The ... Quantitative Trading Strategies with Python)

An Introduction To Python For Quantitative Finance: From Scratch To Productivity

Tidy Finance with Python - Chapman and Hall/CRC Textbook

Options Pricing with AI (The Artificial Edge: Quantitative Trading Strategies with Python)

Handbook of Price Impact Modeling (Chapman and Hall/CRC Financial Mathematics Series)

Tidy Finance with Python (Chapman & Hall/CRC The Python Series)

Malliavin Calculus in Finance: Theory and Practice (Chapman and Hall/CRC Financial Mathematics Series)

Quantitative Risk Management Using Python: An Essential Guide for Managing Market, Credit, and Model Risk

Quantitative Algorithm Design for FX Markets: Building High-Frequency Trading Systems With Python (The Artificial Edge: Quantitative Trading Strategies with Python)

Foundations of Reinforcement Learning with Applications in Finance (Chapman & Hall/CRC Mathematics and Artificial Intelligence Series)

Quantitative Finance (Statistics in Practice)

Financial Modelling in Python (The Wiley Finance Series)

Implementing Models in Quantitative Finance: Methods and Cases (Springer Finance)

Quantitative Finance: An Introduction to Investments, Asset Pricing, and Derivatives

Machine Learning in Finance: From Theory to Practice

Machine Learning in Finance: From Theory to Practice

Quantitative Portfolio Management: with Applications in Python (Springer Texts in Business and Economics)