Quantitative finance with Python a practical guide to investment management, trading, and financial engineering / Chris Kelliher.
| Author/creator | Kelliher, Chris |
| Format | Electronic |
| Publication Info | Boca Raton, FL : Chapman & Hall, CRC Press, 2022. |
| Description | 1 online resource |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Subjects |
| Series | Chapman & Hall/CRC Financial Mathematics series |
| Abstract | "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 code available at www.routledge.com/ 9781032014432"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Issued in other form | Print version: Kelliher, Chris. Quantitative finance with Python 1 Edition. Boca Raton, FL : Chapman & Hall, CRC Press, 2022 9781032014432 |
| Genre/form | Electronic books. |
| LCCN | 2021056942 |
| ISBN | 9781000582376 (epub) |
| ISBN | 9781003180975 (ebook) |
| ISBN | (hardback) |
| ISBN | (paperback) |