FinCovRegularization (version 1.1.0)

Covariance Matrix Estimation and Regularization for Finance

Description

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.

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install.packages('FinCovRegularization')

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195

Version

1.1.0

License

GPL-2

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Last Published

April 25th, 2016

Functions in FinCovRegularization (1.1.0)