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r / packages / r-fincovregularization 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.

Installers

  • noarch v1.1.0

conda install

To install this package run one of the following:
conda install r::r-fincovregularization

Description


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