garch2f8: Off-diagonal parameter estimation in bivariate GARCH(1,1)...

Description Usage Arguments Value Note Author(s) References

Description

Off-diagonal parameter estimation in bivariate GARCH(1,1) when diagonal parameters are given.

Usage

1
  garch2f8(y, c1, a1, b1, y1, h1, c2, a2, b2, y2, h2, df)

Arguments

y

: [vector] (T x 1) data generated by a GARCH(1,1) process

c1

: [scalar] diagonal parameter of the GARCH(1,1) process taken from matrix C

a1

: [scalar] diagonal parameter of the GARCH(1,1) process taken from matrix A

b1

: [scalar] diagonal parameter of the GARCH(1,1) process taken from matrix B

y1

: [vector] (T x 1) data generated by a GARCH(1,1) process

h1

: [vector] (T x 1) data generated by a GARCH(1,1) process

c2

: [scalar] diagonal parameter of the GARCH(1,1) process taken from matrix C

a2

: [scalar] diagonal parameter of the GARCH(1,1) process taken from matrix A

b2

: [scalar] diagonal parameter of the GARCH(1,1) process taken from matrix B

y2

: [vector] (T x 1) data generated by a GARCH(1,1) process

h2

: [vector] (T x 1) generated by a GARCH(1,1) process

df

: [scalar] degree of freedom for the t-distribution; the default value is 500 to make it, basically, normal

Value

q : [vector] (4 x 1) parameters of the GARCH(1,1) process

qerr : [vector] (4 x 1) standard error of parameter estimates

hf : [scalar] current conditional heteroskedasticity estimate

hferr : [scalar] standard error on hf

Note

MATLAB's code initially written by Olivier Ledoit, 4/28/1997

Uses a conditional t-distribution with fixed degrees of freedom

Steepest Ascent on boundary, Hessian off boundary, no grid search

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 "FitMultivariateGarch.m"


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