This book provides readers with a systematic approach to quantitative investments and bridges the gap between theory and practice, equipping students to more seamlessly enter the world of industry. A successful quantitative investment strategy requires an individual to possess a deep understanding of the financial markets, investment theories and econometric modelings, as well as the ability to program and analyze real-world data sets.

In order to connect finance theories and practical industry experience, each chapter begins with a real-world finance case study. The rest of the chapter introduces fundamental insights and theories, and teaches readers to use statistical models and R programming to analyze real-world data, therefore grounding the learning process in application. Additionally, each chapter profiles significant figures in investment and quantitative studies, so that readers can more fully understand the history of the discipline.

This volume will be particularly useful to advanced students and practitioners in finance and investments.

本书为读者提供了一种系统的量化投资方法，并弥合了理论与实践之间的鸿沟，使学生能够更无缝地进入工业界。成功的定量投资策略要求个人对金融市场，投资理论和计量经济学模型有深入的了解，并具有对实际数据集进行编程和分析的能力。

为了将金融理论和实际行业经验联系起来，每章均以现实世界的金融案例研究开始。本章的其余部分介绍了基本的见解和理论，并教读者使用统计模型和R编程来分析实际数据，从而为应用程序的学习过程奠定基础。此外，每一章还介绍了投资和定量研究中的重要数字，以便读者可以更全面地了解该学科的历史。

这本书对金融和投资领域的高级学生和从业者特别有用。