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Titlebook: Quantitative Investing; From Theory to Indus Lingjie Ma Textbook 2020 Springer Nature Switzerland AG 2020 quantitative.investing.R-programm

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發(fā)表于 2025-3-21 16:37:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Quantitative Investing
副標(biāo)題From Theory to Indus
編輯Lingjie Ma
視頻videohttp://file.papertrans.cn/781/780874/780874.mp4
概述Provides real-world case studies and data sets that connect quantitative finance theory to industry practice.Profiles notable figures in investment and quantitative studies, illustrating the contextua
圖書封面Titlebook: Quantitative Investing; From Theory to Indus Lingjie Ma Textbook 2020 Springer Nature Switzerland AG 2020 quantitative.investing.R-programm
描述.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 willbe particularly useful to advanced students and practitioners in finance and investments..
出版日期Textbook 2020
關(guān)鍵詞quantitative; investing; R-programming; R; industry approach; real-world data; investment; finance; quantita
版次1
doihttps://doi.org/10.1007/978-3-030-47202-3
isbn_softcover978-3-030-47204-7
isbn_ebook978-3-030-47202-3
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書目名稱Quantitative Investing影響因子(影響力)




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How to Construct a Stock Selection Strategy: Multi-Factor Analysis,conditions of OLS estimates. Regarding industry insights, we show, using the Russell 1000 security level data, how to construct a multi-factor alpha model for a large-cap core stock selection portfolio. For R programming, we introduce commonly used utility functions in quantitative investing.
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Is the Current US Stock Market Overvalued? Univariate Analysis,the concepts of four moments, density and cumulative distribution functions, and hypothesis testing. We present two important figures: Benjamin Graham on investment and Student (William Sealy Gosset) on univariate analysis. We show nonnormality of asset returns and present an industry approach to ou
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