語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Multicriteria portfolio construction...
~
Doukas, Haris.
Multicriteria portfolio construction with Python
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Multicriteria portfolio construction with Pythonby Elissaios Sarmas, Panos Xidonas, Haris Doukas.
作者:
Sarmas, Elissaios.
其他作者:
Xidonas, Panos.
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
ix, 176 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Portfolio managementData processing.
電子資源:
https://doi.org/10.1007/978-3-030-53743-2
ISBN:
9783030537432$q(electronic bk.)
Multicriteria portfolio construction with Python
Sarmas, Elissaios.
Multicriteria portfolio construction with Python
[electronic resource] /by Elissaios Sarmas, Panos Xidonas, Haris Doukas. - Cham :Springer International Publishing :2020. - ix, 176 p. :ill., digital ;24 cm. - Springer optimization and its applications,v.1631931-6828 ;. - Springer optimization and its applications ;v. 3..
1. Introduction -- 2. The Portfolio Management Problem -- 3. Multicriteria Decision Analysis Methods -- 3. Literature Review -- 5. The Proposed Methodology -- 6. Information System in Python -- 7. Empirical Testing -- 8. Conclusions -- Bibliography.
This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process. The most important feature of the book includes the proposed methodological framework that integrates two individual subsystems, the portfolio selection subsystem and the portfolio optimization subsystem. An additional highlight of the book includes the detailed, step-by-step implementation of the proposed multicriteria algorithms in Python. The implementation is presented in detail; each step is elaborately described, from the input of the data to the extraction of the results. Algorithms are organized into small cells of code, accompanied by targeted remarks and comments, in order to help the reader to fully understand their mechanics. Readers are provided with a link to access the source code through GitHub. This Work may also be considered as a reference which presents the state-of-art research on portfolio construction with multiple and complex investment objectives and constraints. The book consists of eight chapters. A brief introduction is provided in Chapter 1. The fundamental issues of modern portfolio theory are discussed in Chapter 2. In Chapter 3, the various multicriteria decision aid methods, either discrete or continuous, are concisely described. In Chapter 4, a comprehensive review of the published literature in the field of multicriteria portfolio management is considered. In Chapter 5, an integrated and original multicriteria portfolio construction methodology is developed. Chapter 6 presents the web-based information system, in which the suggested methodological framework has been implemented. In Chapter 7, the experimental application of the proposed methodology is discussed and in Chapter 8, the authors provide overall conclusions. The readership of the book aims to be a diverse group, including fund managers, risk managers, investment advisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio engineering, decision science, computer science, or financial engineering.
ISBN: 9783030537432$q(electronic bk.)
Standard No.: 10.1007/978-3-030-53743-2doiSubjects--Topical Terms:
537753
Portfolio management
--Data processing.
LC Class. No.: HG4529.5 / .S276 2020
Dewey Class. No.: 332.60285
Multicriteria portfolio construction with Python
LDR
:03697nmm a2200349 a 4500
001
589025
003
DE-He213
005
20210204104739.0
006
m d
007
cr nn 008maaau
008
210525s2020 sz s 0 eng d
020
$a
9783030537432$q(electronic bk.)
020
$a
9783030537425$q(paper)
024
7
$a
10.1007/978-3-030-53743-2
$2
doi
035
$a
978-3-030-53743-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HG4529.5
$b
.S276 2020
072
7
$a
KJT
$2
bicssc
072
7
$a
BUS049000
$2
bisacsh
072
7
$a
KJT
$2
thema
072
7
$a
KJMD
$2
thema
082
0 4
$a
332.60285
$2
23
090
$a
HG4529.5
$b
.S246 2020
100
1
$a
Sarmas, Elissaios.
$3
880711
245
1 0
$a
Multicriteria portfolio construction with Python
$h
[electronic resource] /
$c
by Elissaios Sarmas, Panos Xidonas, Haris Doukas.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
ix, 176 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Springer optimization and its applications,
$x
1931-6828 ;
$v
v.163
505
0
$a
1. Introduction -- 2. The Portfolio Management Problem -- 3. Multicriteria Decision Analysis Methods -- 3. Literature Review -- 5. The Proposed Methodology -- 6. Information System in Python -- 7. Empirical Testing -- 8. Conclusions -- Bibliography.
520
$a
This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process. The most important feature of the book includes the proposed methodological framework that integrates two individual subsystems, the portfolio selection subsystem and the portfolio optimization subsystem. An additional highlight of the book includes the detailed, step-by-step implementation of the proposed multicriteria algorithms in Python. The implementation is presented in detail; each step is elaborately described, from the input of the data to the extraction of the results. Algorithms are organized into small cells of code, accompanied by targeted remarks and comments, in order to help the reader to fully understand their mechanics. Readers are provided with a link to access the source code through GitHub. This Work may also be considered as a reference which presents the state-of-art research on portfolio construction with multiple and complex investment objectives and constraints. The book consists of eight chapters. A brief introduction is provided in Chapter 1. The fundamental issues of modern portfolio theory are discussed in Chapter 2. In Chapter 3, the various multicriteria decision aid methods, either discrete or continuous, are concisely described. In Chapter 4, a comprehensive review of the published literature in the field of multicriteria portfolio management is considered. In Chapter 5, an integrated and original multicriteria portfolio construction methodology is developed. Chapter 6 presents the web-based information system, in which the suggested methodological framework has been implemented. In Chapter 7, the experimental application of the proposed methodology is discussed and in Chapter 8, the authors provide overall conclusions. The readership of the book aims to be a diverse group, including fund managers, risk managers, investment advisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio engineering, decision science, computer science, or financial engineering.
650
0
$a
Portfolio management
$x
Data processing.
$3
537753
650
0
$a
Python (Computer program language)
$3
215247
650
1 4
$a
Operations Research/Decision Theory.
$3
273963
650
2 4
$a
Applications of Mathematics.
$3
273744
650
2 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
274070
700
1
$a
Xidonas, Panos.
$3
563585
700
1
$a
Doukas, Haris.
$3
837507
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
830
0
$a
Springer optimization and its applications ;
$v
v. 3.
$3
440366
856
4 0
$u
https://doi.org/10.1007/978-3-030-53743-2
950
$a
Mathematics and Statistics (SpringerNature-11649)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000191562
電子館藏
1圖書
電子書
EB HG4529.5 .S246 2020 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-53743-2
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入