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＜電子ブック＞
Quantitative Investing : From Theory to Industry / by Lingjie Ma

版	1st ed. 2020.
出版者	Cham : Springer International Publishing : Imprint: Springer
出版年	2020
本文言語	英語
大きさ	XVII, 455 p. 145 illus., 110 illus. in color : online resource
著者標目	*Ma, Lingjie author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Social sciences -- Mathematics  全ての件名で検索 LCSH:Business enterprises -- Finance  全ての件名で検索 FREE:Statistics in Business, Management, Economics, Finance, Insurance FREE:Mathematics in Business, Economics and Finance FREE:Corporate Finance
一般注記	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 HTTP:URL=https://doi.org/10.1007/978-3-030-47202-3

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