TY  - BOOK
AU  - Kelliher,Chris
TI  - Quantitative finance with Python: a practical guide to investment management, trading, and financial engineering 
T2  - Chapman & Hall/CRC Financial Mathematics series
SN  - 9781032014432
AV  - HG4515.2. K445 2022 
U1  - 332.6 23/eng/20220113
PY  - 2022///
CY  - Boca Raton, FL
PB  - Chapman & Hall, CRC Press
KW  - Investments
KW  - Management
KW  - Trading bands (Securities)
KW  - Financial engineering
KW  - Python (Computer program language)
N1  - Includes bibliographical references and index
N2  - "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"--
ER  -