Quantitative Finance with Python: A Practical Guide to Investment Management, Trading, and Financial Engineering

Author:   Chris Kelliher (Fidelity Investments. USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032014432


Pages:   659
Publication Date:   20 May 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Quantitative Finance with Python: A Practical Guide to Investment Management, Trading, and Financial Engineering


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Author:   Chris Kelliher (Fidelity Investments. USA)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   1.680kg
ISBN:  

9781032014432


ISBN 10:   1032014431
Pages:   659
Publication Date:   20 May 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Reviews

"""This ambitious book is a practical guide for aspirant quants, on both the buyside and the sellside. [. . .] There is a further 175-page code and exercises supplement to ‘provide a coding baseline’. [. . .] The subject matter is neatly partitioned into 21 Chapters, starting with an overview of the quant landscape and ending with basic machine learning in finance. The flow between chapters makes the book a pleasure to read. One can also easily access a topic of particular interest. [. . .] The author is both a lecturer and practitioner in the field. This is evident from the accessible style of writing, comprehensive examples and the way the topics are built up. The content is generally well balanced between theory and practice. There is a broad range of finance topics covered. From swaption and currency triangles to CDO mechanics to feature explainability in machine learning, few books in this space are as comprehensive. [. . .] Readers will find a good selection of case studies throughout the book. The author’s experience as a practitioner allows him to write with conviction. The commentary is accessible and free of jargon. These case studies, such as the 2018 natural gas options squeeze and the 2021 Reddit meme Gamestop squeeze, are useful cautionary tales for those new to the field. [. . .] Finance students in their final years' study and those starting careers as quants will find the book a useful resource. It might be considered as an equally comprehensive but more practical complement to Hull’s classic ‘Options, Futures, and Other Derivatives’."" - Mark Greenwood, Quantitative Finance"


Author Information

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.

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