國立高雄大學圖資館 |

Language: English

Back

Quantitative investingfrom theory to...

Ma, Lingjie.

Quantitative investingfrom theory to industry /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantitative investingby Lingjie Ma.
Reminder of title:	from theory to industry /
Author:	Ma, Lingjie.
Published:	Cham :Springer International Publishing :2020.
Description:	xvii, 455 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	InvestmentsMathematical models.
Online resource:	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

Quantitative investingfrom theory to industry /
LDR:02055nmm a2200325 a 4500 001 586228
003 DE-He213
005 20210128104422.0
006 m d
007 cr nn 008maaau
008 210323s2020 sz s 0 eng d
020 $a 9783030472023$q(electronic bk.)
020 $a 9783030472016$q(paper)
024 7 $a 10.1007/978-3-030-47202-3 $2 doi
035 $a 978-3-030-47202-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HG4515.2 $b .M355 2020
072 7 $a PBT $2 bicssc
072 7 $a BUS061000 $2 bisacsh
072 7 $a PBT $2 thema
072 7 $a K $2 thema
082 0 4 $a 332.6015118 $2 23
090 $a HG4515.2 $b .M111 2020
100 1 $a Ma, Lingjie. $3 877606
245 1 0 $a Quantitative investing $h [electronic resource] : $b from theory to industry / $c by Lingjie Ma.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xvii, 455 p. : $b ill., digital ; $c 24 cm.
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.
650 0 $a Investments $x Mathematical models. $3 221368
650 1 4 $a Statistics for Business, Management, Economics, Finance, Insurance. $3 825914
650 2 4 $a Quantitative Finance. $3 274071
650 2 4 $a Business Finance. $3 731055
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-47202-3
950 $a Mathematics and Statistics (SpringerNature-11649)