View source: R/stat.factor.model.R
| cokurtosisSF | R Documentation | 
Estimate cokurtosis matrix using a single factor statistical factor model
cokurtosisSF(beta, stockM2, stockM4, factorM2, factorM4)
| 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 | 
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.
(N x N^3) cokurtosis matrix
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