Standard

Statistical foundations for assessing the difference between the classical and weighted-Gini betas. / Грибкова, Надежда Викторовна; Zitikis, Ričardas.

в: Mathematical Methods of Statistics, Том 26, № 4, 01.10.2017, стр. 267–281.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Грибкова, НВ & Zitikis, R 2017, 'Statistical foundations for assessing the difference between the classical and weighted-Gini betas', Mathematical Methods of Statistics, Том. 26, № 4, стр. 267–281.

APA

Vancouver

Грибкова НВ, Zitikis R. Statistical foundations for assessing the difference between the classical and weighted-Gini betas. Mathematical Methods of Statistics. 2017 Окт. 1;26(4):267–281.

Author

Грибкова, Надежда Викторовна ; Zitikis, Ričardas. / Statistical foundations for assessing the difference between the classical and weighted-Gini betas. в: Mathematical Methods of Statistics. 2017 ; Том 26, № 4. стр. 267–281.

BibTeX

@article{8d1fbbaca7774a2eaefa5e5fb124035e,
title = "Statistical foundations for assessing the difference between the classical and weighted-Gini betas",
keywords = "beta, portfolio construction, capital allocation, weighted Gini, weighted Gini beta, consistency, , asymptotic normality",
author = "Грибкова, {Надежда Викторовна} and Ri{\v c}ardas Zitikis",
year = "2017",
month = oct,
day = "1",
language = "English",
volume = "26",
pages = "267–281",
journal = "Mathematical Methods of Statistics",
issn = "1066-5307",
publisher = "Allerton Press, Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - Statistical foundations for assessing the difference between the classical and weighted-Gini betas

AU - Грибкова, Надежда Викторовна

AU - Zitikis, Ričardas

PY - 2017/10/1

Y1 - 2017/10/1

KW - beta

KW - portfolio construction

KW - capital allocation

KW - weighted Gini

KW - weighted Gini beta

KW - consistency

KW - , asymptotic normality

M3 - Article

VL - 26

SP - 267

EP - 281

JO - Mathematical Methods of Statistics

JF - Mathematical Methods of Statistics

SN - 1066-5307

IS - 4

ER -

ID: 15766656