Kresta, A. (2024) Applied quantitative finance in Python: Selected theories and examples. Series of Economics Textbooks, Vol. 38. Ostrava: VŠB-TUO, 173 s. ISBN 978-80-248-4747-4 (print) ISBN 978-80-248-4748-1 (on-line) DOI 10.31490/9788024847481 |
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The book Applied Quantitative Finance in Python provides a comprehensive guide to the intersection of finance, statistics, and computer science. Balancing theory and practical application, it uses Python to simplify complex financial models with real-world code snippets. It covers essential principles and advanced topics, guiding readers through real-world financial problems.
Whether you are a novice or an experienced practitioner, this book aims to be a companion in exploring applied quantitative finance. Starting with the basics of time series, the book progresses to risk measurement, portfolio optimization, technical analysis, and option valuation. Each chapter offers hands-on Python examples, highlighting potential pitfalls and providing practical insights.
The book was written with the support of VSB – Technical University of Ostrava under project number SP2023/047, and the European Union operational program Just Transition under project number CZ.10.03.01/00/22_003/0000048.