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cokurtosisSF

Cokurtosis Matrix Estimate


Description

Estimate cokurtosis matrix using a single factor statistical factor model

Usage

cokurtosisSF(beta, stockM2, stockM4, factorM2, factorM4)

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 2nd moment of the model residuals

stockM4

vector of length N of the 4th moment of the model residuals

factorM2

scalar of the 2nd moment of the factor realizations from a single factor statistical factor model

factorM4

scalar of the 4th moment of the factor realizations from a single factor statistical factor model

Details

This function estimates an (N x N^3) cokurtosis matrix from a statistical factor model with k factors, where N is the number of assets.

Value

(N x N^3) cokurtosis matrix


PortfolioAnalytics

Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios

v1.1.0
GPL-2 | GPL-3
Authors
Brian G. Peterson [cre, aut, cph], Peter Carl [aut, cph], Kris Boudt [ctb, cph], Ross Bennett [ctb, cph], Hezky Varon [ctb], Guy Yollin [ctb], R. Douglas Martin [ctb]
Initial release
2018-05-17

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