語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Quantitative Investing = From Theory...
~
Ma, Lingjie.
Quantitative Investing = From Theory to Industry /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Quantitative Investing/ by Lingjie Ma.
其他題名:
From Theory to Industry /
作者:
Ma, Lingjie.
面頁冊數:
XVII, 455 p. 145 illus., 110 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Statistics . -
電子資源:
https://doi.org/10.1007/978-3-030-47202-3
ISBN:
9783030472023
Quantitative Investing = From Theory to Industry /
Ma, Lingjie.
Quantitative Investing
From Theory to Industry /[electronic resource] :by Lingjie Ma. - 1st ed. 2020. - XVII, 455 p. 145 illus., 110 illus. in color.online resource.
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
Standard No.: 10.1007/978-3-030-47202-3doiSubjects--Topical Terms:
1253516
Statistics .
LC Class. No.: QA276-280
Dewey Class. No.: 330.015195
Quantitative Investing = From Theory to Industry /
LDR
:02433nam a22003975i 4500
001
1023549
003
DE-He213
005
20200910105607.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030472023
$9
978-3-030-47202-3
024
7
$a
10.1007/978-3-030-47202-3
$2
doi
035
$a
978-3-030-47202-3
050
4
$a
QA276-280
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
330.015195
$2
23
100
1
$a
Ma, Lingjie.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1319506
245
1 0
$a
Quantitative Investing
$h
[electronic resource] :
$b
From Theory to Industry /
$c
by Lingjie Ma.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
XVII, 455 p. 145 illus., 110 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
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
Statistics .
$3
1253516
650
0
$a
Economics, Mathematical .
$3
1253712
650
0
$a
Business enterprises—Finance.
$3
1253877
650
1 4
$a
Statistics for Business, Management, Economics, Finance, Insurance.
$3
1211158
650
2 4
$a
Quantitative Finance.
$3
669372
650
2 4
$a
Business Finance.
$3
1069042
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030472016
776
0 8
$i
Printed edition:
$z
9783030472030
776
0 8
$i
Printed edition:
$z
9783030472047
856
4 0
$u
https://doi.org/10.1007/978-3-030-47202-3
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入