Quantitative Finance with Python

<p><strong><em>Quantitative Finance with Python: A Practical Guide to Investment Management Trading and Financial Engineering</em></strong> 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. <br><br><strong>Features</strong></p><ul> <li>Useful as both a teaching resource and as a practical tool for professional investors.</li> <li>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.</li> <li>Includes a perspective on the future of quant finance techniques and in particular covers some introductory concepts of Machine Learning.</li> <li>Free-to-access repository with Python codes available at www.routledge.com/ 9781032014432 and on <a href=https://github.com/lingyixu/Quant-Finance-With-Python-Code>https://github.com/lingyixu/Quant-Finance-With-Python-Code</a>.</li> </ul>