Results 91 to 100 of about 22,359,362 (203)

Honey, I shrunk the sample covariance matrix [PDF]

open access: yes
The central message of this paper is that nobody should be using the sample covariance matrix for the purpose of portfolio optimization. It contains estimation error of the kind most likely to perturb a mean-variance optimizer.
Michael Wolf, Olivier Ledoit
core  

Covariance matrix estimation methods for constrained portfolio optimization in a South African setting [PDF]

open access: yes, 2010
One of the major topics of concern in Modern Portfolio Theory is portfolio optimization which is centred on the mean-variance framework. In order for this framework to be implemented, esti- mated parameters (covariance matrix for the constrained portfo ...
Madume, Jaison Pezisai
core  

554 The covariance of e(k) = [el(k)e2(k)] is i E{e(k)er(k)}=P(k) =-----.

open access: yes, 2008
The initial conditions for each estimate are and the initial covariance P(0) is a,(0)=22(0)=E{x(O)} =x0 I Equation (22) can be expanded to yield the transition equations for the submatrices of P(k) shown in (21).
Evolves As, The Covariance
core  

Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls. [PDF]

open access: yesFront Hum Neurosci, 2018
Karpati FJ   +4 more
europepmc   +1 more source

Influence function and asymptotic efficiency of the affine equivariant rank covariance matrix. [PDF]

open access: yes
Visuri et al (2001) proposed and illustrated the use of the affine equivariant rank covariance matrix (RCM) in classical multivariate inference problems.
Croux, Christophe, Ollila, E, Oja, H
core  

Extended multimodal whole-brain anatomical covariance analysis: detection of disrupted correlation networks related to amyloid deposition. [PDF]

open access: yesHeliyon, 2019
Ye C   +9 more
europepmc   +1 more source

Robust Covariance Matrix Estimation with Data-Dependent VAR Prewhitening Order [PDF]

open access: yes
This paper analyzes the performance of heteroskedasticity-and-autocorrelation-consistent (HAC) covariance matrix estimators in which the residuals are prewhitened using a vector autoregressive (VAR) filter.
Wouter J. den Haan, Andrew T. Levin
core  

Impact of sex and reproductive status on memory circuitry structure and function in early midlife using structural covariance analysis. [PDF]

open access: yesHum Brain Mapp, 2019
Seitz J   +9 more
europepmc   +1 more source

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