CRAN/E | FinCovRegularization

FinCovRegularization

Covariance Matrix Estimation and Regularization for Finance

Installation

About

Estimation and regularization for covariance matrix of asset returns. For covariance matrix estimation, three major types of factor models are included: macroeconomic factor model, fundamental factor model and statistical factor model. For covariance matrix regularization, four regularized estimators are included: banding, tapering, hard-thresholding and soft- thresholding. The tuning parameters of these regularized estimators are selected via cross-validation.

github.com/yanyachen/FinCovRegularization
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 2.10
Published 2016-04-25 2933 days ago
Needs compilation? no
License GPL-2
CRAN checks FinCovRegularization results

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Maintainer

Maintainer

YaChen Yan

yanyachen21@gmail.com

Authors

YaChen Yan

aut / cre

FangZhu Lin

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

FinCovRegularization archive

Depends

R ≥ 2.10

Imports

stats
graphics
quadprog