Quantitative Finance with Python: A Practical Guide to Investment Management, Trading, and Financial Engineering
Language: English
Published by CRC Press LLC, 2022
Series: Book 55 of 71 - Chapman and Hall/CRC Financial Mathematics
- Hardcover
- Used
Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
AbeBooks seller since March 23, 2026
Condition: Used - Good
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Add to basketItem description from seller
This book 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.
Seller Inventory # CIN1032014431G
- Title
- Quantitative Finance with Python: A Practical Guide to Investment Management, Trading, and Financial Engineering
- Author
- Chris Kelliher
- Publisher
- CRC Press LLC
- Publication year
- 2022
- Condition
- Good
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1032014431
- ISBN 13
- 9781032014432
- Series
- Book 55 of 71: Chapman and Hall/CRC Financial Mathematics
Quantitative Finance with 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.
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 some introductory concepts of Machine Learning.
- Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on https://github.com/lingyixu/Quant-Finance-With-Python-Code.
"Synopsis" may belong to another edition of this title.
About the Author
Chris Kelliher is a Senior Quantitative Researcher in the Global Asset Allocation group at Fidelity Investments. In addition, Mr. Kelliher is a Lecturer in the Masters in Mathematical Finance and Financial Technology program at Boston University's Questrom School of Business. In this role he teaches multiple graduate level courses including Computational Methods in Finance, Fixed Income & Programming for Quant Finance. Prior to joining Fidelity in 2019, Mr. Kelliher served as a portfolio manager for RDC Capital Partners. Before joining RDC, Mr. Kelliher served as a principal and quantitative portfolio manager at a leading quantitative investment management firm, FDO Partners. Prior to FDO, Mr. Kelliher was a senior quantitative portfolio analyst and trader at Convexity Capital Management and a senior quantitative researcher at Bracebridge Capital. He has been in the financial industry since 2004. Mr. Kelliher earned a BA in Economics from Gordon College, where he graduated Cum Laude with Departmental Honours, and an MS in Mathematical Finance from New York University's Courant Institute.
"About the title" may belong to another edition of this title.
World of Books Inc
Montgomery, IL, U.S.A.
AbeBooks seller since March 23, 2026
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