Quantitative Risk and Portfolio Management: Theory and Practice

This text is a comprehensive modern introduction to risk and portfolio management for quantitatively adept advanced undergraduate and beginning graduate students, focusing on real-world application with extensive live data and Python code. It is ideal for students with a background in engineering, mathematics or physics.

Format: Hardback
Length: 927 pages
Publication date: 21 September 2023
Publisher: Cambridge University Press

A comprehensive and modern introduction to risk and portfolio management for quantitatively adept advanced undergraduate and beginning graduate students who will become practitioners in the field of quantitative finance. This text, with a focus on real-world application but providing a background in academic theory, builds a firm foundation of rigorous but practical knowledge. Extensive live data and Python code are provided as online supplements, allowing a thorough understanding of how to manage risk and portfolios in practice. With its detailed examination of how mathematical techniques are applied to finance, this is the ideal textbook for giving students with a background in engineering, mathematics, or physics a route into the field of quantitative finance.

Risk and portfolio management is a crucial topic for advanced undergraduate and beginning graduate students who aspire to work in the field of quantitative finance. This comprehensive textbook provides a thorough and modern introduction to the subject, catering to students with a strong quantitative background.

The book begins by covering the fundamental principles of risk and portfolio management, including the concepts of probability, statistics, and financial mathematics. It then delves into various risk management strategies, such as diversification, risk tolerance, and asset allocation. The text emphasizes the importance of risk assessment and monitoring, using real-world examples and case studies to illustrate practical applications.

One of the key strengths of this textbook is its emphasis on real-world application. While providing a solid foundation in academic theory, it also offers extensive live data and Python code as online supplements. These resources allow students to gain a hands-on understanding of how to manage risk and portfolios in practice, using the latest tools and techniques.

Furthermore, the book takes a detailed approach to examining how mathematical techniques are applied to finance. It discusses various quantitative models and algorithms used in risk analysis and portfolio optimization, such as Monte Carlo simulations, linear programming, and genetic algorithms. This provides students with a comprehensive understanding of the tools and techniques used in the field.

The textbook is well-organized and easy to read, with clear explanations and illustrations. It includes numerous examples and case studies to reinforce the concepts discussed, making it accessible to students with a range of backgrounds.

Overall, this textbook is an excellent resource for advanced undergraduate and beginning graduate students who want to gain a comprehensive understanding of risk and portfolio management. Its focus on real-world application, combined with a strong foundation in academic theory, makes it an ideal textbook for students with a background in engineering, mathematics, or physics who are interested in pursuing a career in quantitative finance.

Weight: 1462g
Dimension: 183 x 260 x 37 (mm)
ISBN-13: 9781009209045