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Quantitative investingfrom theory to...

Ma, Lingjie.

Quantitative investingfrom theory to industry /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantitative investingby Lingjie Ma.
其他題名:	from theory to industry /
作者:	Ma, Lingjie.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xvii, 455 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	InvestmentsMathematical models.
電子資源:	https://doi.org/10.1007/978-3-030-47202-3
ISBN:	9783030472023$q(electronic bk.)

Quantitative investingfrom theory to industry /
Ma, Lingjie.

Quantitative investingfrom theory to industry /[electronic resource] :by Lingjie Ma. - Cham :Springer International Publishing :2020. - xvii, 455 p. :ill., digital ;24 cm.

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.

ISBN: 9783030472023$q(electronic bk.)

Standard No.: 10.1007/978-3-030-47202-3doiSubjects--Topical Terms:

221368
Investments
--Mathematical models.

LC Class. No.: HG4515.2 / .M355 2020

Dewey Class. No.: 332.6015118

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520 $a 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.
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