covarianceSF: Covariance Matrix Estimate

In PortfolioAnalytics: Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios

Description

Estimate covariance matrix using a single factor statistical factor model

Usage

covarianceSF(beta, stockM2, factorM2)

Arguments

beta	vector of length N or (N x 1) matrix of factor loadings (i.e. the betas) from a single factor statistical factor model
stockM2	vector of length N of the variance (2nd moment) of the model residuals (i.e. idiosyncratic variance of the stock)
factorM2	scalar value of the 2nd moment of the factor realizations from a single factor statistical factor model

Details

This function estimates an (N x N) covariance matrix from a single factor statistical factor model with k=1 factors, where N is the number of assets.

Value

(N x N) covariance matrix

PortfolioAnalytics documentation built on May 1, 2019, 10:56 p.m.