Quantitative Investing: From Theory to Industry

This book provides a systematic approach to quantitative investments and bridges the gap between theory and practice, equipping students to enter the world of industry. It begins with a real-world finance case study and teaches readers to use statistical models and R programming to analyze real-world data. It is particularly useful to advanced students and practitioners in finance and investments.

Format: Paperback / softback
Length: 455 pages
Publication date: 09 September 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book offers readers a systematic approach to quantitative investments, seamlessly bridging the gap between theory and practice. It equips students with the skills and knowledge necessary to excel in the world of industry, enabling them to navigate the complex landscape of financial markets, investment theories, and econometric modelings. A successful quantitative investment strategy demands a profound understanding of these subjects, as well as the ability to program and analyze real-world data sets.

To facilitate this connection between finance theories and practical industry experience, each chapter begins with a real-world finance case study. This contextualizes the theoretical concepts and provides a practical application of the knowledge learned. The remainder of the chapter delves into fundamental insights and theories, guiding readers through the use of statistical models and R programming to analyze real-world data. This practical approach ensures that the learning process is grounded in application, enhancing the reader's ability to apply their skills in the real world.

Furthermore, each chapter profiles significant figures in investment and quantitative studies, providing a historical context and fostering a deeper understanding of the discipline. This volume is particularly valuable for advanced students and practitioners in finance and investments, offering a comprehensive and up-to-date resource for advancing their knowledge and expertise.

Weight: 724g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030472047
Edition number: 1st ed. 2020