Applied Quantitative Finance in Python: Selected Theories and Examples

Abstract

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.