LognormalParam2Statistics: Compute expectation, covariance, standard deviation and...

Description Usage Arguments Value Author(s) References

Description

Compute expectation, covariance, standard deviation and correlation for a lognormal distribution, as described in A. Meucci "Risk and Asset Allocation", Springer, 2005.

Usage

1

Arguments

Mu

: [vector] (N x 1) location parameter

Sigma

: [matrix] (N x N) scale parameter

Value

Exp : [vector] (N x 1) expectation

Cov : [matrix] (N x N) covariance

Std : [vector] (N x 1) standard deviation

Corr : [matrix] (N x N) correlation

Author(s)

Xavier Valls flamejat@gmail.com

References

A. Meucci - "Exercises in Advanced Risk and Portfolio Management" http://symmys.com/node/170, "E 85 - Correlation in lognormal markets".

See Meucci's script for "LognormalParam2Statistics.m"


R-Finance/Meucci documentation built on May 8, 2019, 3:52 a.m.