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
The Sharpe ratio = statistics and applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
The Sharpe ratio/ Steven E. Pav.
其他題名:
statistics and applications /
作者:
Pav, Steven E.
出版者:
Boca Raton, FL :CRC Press, : 2022.,
面頁冊數:
1 online resource (1 v.) :ill. :
附註:
"A Chapman & Hall book."
標題:
Investment analysis. -
電子資源:
https://www.taylorfrancis.com/books/9781003181057
ISBN:
9781003181057
The Sharpe ratio = statistics and applications /
Pav, Steven E.
The Sharpe ratio
statistics and applications /[electronic resource] :Steven E. Pav. - 1st ed. - Boca Raton, FL :CRC Press,2022. - 1 online resource (1 v.) :ill.
"A Chapman & Hall book."
Includes bibliographical references and index.
The Sharpe ratio is the most widely used metric for comparing theperformance of financial assets. The Markowitz portfolio is the portfolio withthe highest Sharpe ratio. The Sharpe Ratio: Statistics and Applications examines the statistical propertiesof the Sharpe ratio and Markowitz portfolio, both under the simplifyingassumption of Gaussian returns and asymptotically. Connections aredrawn between the financial measures and classical statistics including Student's t, Hotelling's T^2, and the Hotelling-Lawley trace. Therobustness of these statistics to heteroskedasticity, autocorrelation, fat tails,and skew of returns are considered. The construction of portfolios to maximizethe Sharpe is expanded from the usual static unconditional model to include subspace constraints, heding out assets, and the use of conditioning information on both expected returns and risk. {book title} is the most comprehensivetreatment of the statistical properties of the Sharpe ratio and Markowitzportfolio ever published.
ISBN: 9781003181057
Standard No.: 10.1201/9781003181057doiSubjects--Topical Terms:
557689
Investment analysis.
LC Class. No.: HG4529
Dewey Class. No.: 332.63221
The Sharpe ratio = statistics and applications /
LDR
:02142cam a2200361 a 4500
001
1109709
003
FlBoTFG
005
20211027010624.0
006
m o d
007
cr cnu---unuuu
008
231110s2022 flua ob 001 0 eng d
020
$a
9781003181057
$q
(ebook)
020
$a
1003181058
$q
(ebook)
020
$a
9781000442717
$q
(ePDF)
020
$a
1000442713
$q
(ePDF)
020
$a
9781000442762
$q
(epub)
020
$a
1000442764
$q
(epub)
020
$z
9781032019307
$q
(hbk.)
020
$z
9781032019314
$q
(pbk.)
024
8
$a
10.1201/9781003181057
$2
doi
035
$a
9781003181057
040
$a
OCoLC-P
$b
eng
$c
OCoLC-P
041
0
$a
eng
050
4
$a
HG4529
082
0 4
$a
332.63221
$2
23
100
1
$a
Pav, Steven E.
$3
1346063
245
1 4
$a
The Sharpe ratio
$h
[electronic resource] :
$b
statistics and applications /
$c
Steven E. Pav.
250
$a
1st ed.
260
$a
Boca Raton, FL :
$b
CRC Press,
$c
2022.
300
$a
1 online resource (1 v.) :
$b
ill.
500
$a
"A Chapman & Hall book."
504
$a
Includes bibliographical references and index.
520
$a
The Sharpe ratio is the most widely used metric for comparing theperformance of financial assets. The Markowitz portfolio is the portfolio withthe highest Sharpe ratio. The Sharpe Ratio: Statistics and Applications examines the statistical propertiesof the Sharpe ratio and Markowitz portfolio, both under the simplifyingassumption of Gaussian returns and asymptotically. Connections aredrawn between the financial measures and classical statistics including Student's t, Hotelling's T^2, and the Hotelling-Lawley trace. Therobustness of these statistics to heteroskedasticity, autocorrelation, fat tails,and skew of returns are considered. The construction of portfolios to maximizethe Sharpe is expanded from the usual static unconditional model to include subspace constraints, heding out assets, and the use of conditioning information on both expected returns and risk. {book title} is the most comprehensivetreatment of the statistical properties of the Sharpe ratio and Markowitzportfolio ever published.
588
$a
Description based on print version record.
650
0
$a
Investment analysis.
$3
557689
650
0
$a
Risk-return relationships.
$3
1139827
856
4 0
$u
https://www.taylorfrancis.com/books/9781003181057
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