FinCovRegularization: Covariance Matrix Estimation and Regularization for Finance
Version 1.1.0

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.

Getting started

Package details

AuthorYaChen Yan [aut, cre], FangZhu Lin [aut]
Date of publication2016-04-25 15:32:07
MaintainerYaChen Yan <[email protected]>
LicenseGPL-2
Version1.1.0
URL http://github.com/yanyachen/FinCovRegularization
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FinCovRegularization")

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FinCovRegularization documentation built on May 29, 2017, 11:47 a.m.