TwoDimEllipsoid: Computes the location-dispersion ellipsoid of the normalized...

Description Usage Arguments Value Author(s) References

Description

This function computes the location-dispersion ellipsoid of the normalized (unit variance, zero expectation)first diagonal and off-diagonal elements of a 2x2 Wishart distribution as a function of the inputs, as described in A. Meucci, "Risk and Asset Allocation", Springer, 2005, Chapter 2.

Usage

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  TwoDimEllipsoid(Location, Square_Dispersion, Scale = 1,
    PlotEigVectors = FALSE, PlotSquare = FALSE)

Arguments

Location

: [vector] (2 x 1) location vector (typically the expected value

Square_Dispersion

: [matrix] (2 x 2) scatter matrix Square_Dispersion (typically the covariance matrix)

Scale

: [scalar] a scalar Scale, that specifies the scale (radius) of the ellipsoid

PlotEigVectors

: [boolean] true then the eigenvectors (=principal axes) are plotted

PlotSquare

: [boolean] true then the enshrouding box is plotted. If Square_Dispersion is the covariance

Value

E : [figure handle]

Author(s)

Xavier Valls flamejat@gmail.com

References

A. Meucci - "Exercises in Advanced Risk and Portfolio Management" http://symmys.com/node/170.

See Meucci's script for "TwoDimEllipsoid.m"


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