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Quantitative investing: from theory to industry

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 o...

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Detalles Bibliográficos
Autor principal: Ma, Lingjie
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-47202-3
http://cds.cern.ch/record/2740514
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author Ma, Lingjie
author_facet Ma, Lingjie
author_sort Ma, Lingjie
collection CERN
description 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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spelling cern-27405142021-04-21T16:45:49Zdoi:10.1007/978-3-030-47202-3http://cds.cern.ch/record/2740514engMa, LingjieQuantitative investing: from theory to industryMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:27405142020
spellingShingle Mathematical Physics and Mathematics
Ma, Lingjie
Quantitative investing: from theory to industry
title Quantitative investing: from theory to industry
title_full Quantitative investing: from theory to industry
title_fullStr Quantitative investing: from theory to industry
title_full_unstemmed Quantitative investing: from theory to industry
title_short Quantitative investing: from theory to industry
title_sort quantitative investing: from theory to industry
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-47202-3
http://cds.cern.ch/record/2740514
work_keys_str_mv AT malingjie quantitativeinvestingfromtheorytoindustry