Estimation of covariance matrix via factor models with application to financial data. Factor models decompose the asset returns into an exposure term to some factors and a residual idiosyncratic component. The resulting covariance matrix contains a lowrank term corresponding to the factors and another fullrank term corresponding to the residual component. This package provides a function to separate the data into the factor component and residual component, as well as to estimate the corresponding covariance matrix. Different kind of factor models are considered, namely, macroeconomic factor models and statistical factor models. The estimation of the covariance matrix accepts different kinds of structure on the residual term: diagonal structure (implying that residual component is uncorrelated) and block diagonal structure (allowing correlation within sectors). The package includes a builtin database containing stock symbols and their sectors.
Package details 


Maintainer  Daniel P. Palomar <[email protected]> 
License  GPL3  file LICENSE 
Version  0.1.0 
URL  https://github.com/dppalomar/covFactorModel 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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