GARCH with dummy (how to read coefficients)
Posted: Sun Aug 30, 2009 10:10 am
Hi,
I am performing a GARCH with three dummy variables.
To avoid the variable trap, I entered just two dummy variables in the GARCH.
My problem is that I know that I have to read the coefficients as deviation from the coefficient of the constant(the dummy ommitted), but the result is not the same if I change the dummy variable to be omitted.
I know that I can solve the problem omitting the constant (typing lreturn lreturn(-1) d_d1 d_d2 d_d3) but i receive an error message.
Could you please help me? If I cannot interpret my coefficients I cannot conclude my work!
Thanks a lot,
Bea
Thi is the Eviews output:
Coefficient Std. Error z-Statistic Prob.
C 4.49E-05 7.67E-05 0.585207 0.5584
LRETURN(-1) 0.143200 0.017672 8.103173 0.0000
Variance Equation
C 1.89E-05 4.39E-07 43.07701 0.0000
RESID(-1)^2 0.230369 0.054338 4.239565 0.0000
GARCH(-1) 0.876040 0.012980 67.49164 0.0000
D_D2 -1.89E-05 4.72E-07 -40.02030 0.0000
D_D3 -1.70E-05 8.27E-07 -20.57619 0.0000
T-DIST. DOF 2.563125 0.164284 15.60182 0.0000
R-squared 0.028141 Mean dependent var 0.000247
Adjusted R-squared 0.025365 S.D. dependent var 0.007822
S.E. of regression 0.007722 Akaike info criterion -7.449121
Sum squared resid 0.146140 Schwarz criterion -7.430227
Log likelihood 9166.694 F-statistic 10.13863
Durbin-Watson stat 1.944860 Prob(F-statistic) 0.000000
I am performing a GARCH with three dummy variables.
To avoid the variable trap, I entered just two dummy variables in the GARCH.
My problem is that I know that I have to read the coefficients as deviation from the coefficient of the constant(the dummy ommitted), but the result is not the same if I change the dummy variable to be omitted.
I know that I can solve the problem omitting the constant (typing lreturn lreturn(-1) d_d1 d_d2 d_d3) but i receive an error message.
Could you please help me? If I cannot interpret my coefficients I cannot conclude my work!
Thanks a lot,
Bea
Thi is the Eviews output:
Coefficient Std. Error z-Statistic Prob.
C 4.49E-05 7.67E-05 0.585207 0.5584
LRETURN(-1) 0.143200 0.017672 8.103173 0.0000
Variance Equation
C 1.89E-05 4.39E-07 43.07701 0.0000
RESID(-1)^2 0.230369 0.054338 4.239565 0.0000
GARCH(-1) 0.876040 0.012980 67.49164 0.0000
D_D2 -1.89E-05 4.72E-07 -40.02030 0.0000
D_D3 -1.70E-05 8.27E-07 -20.57619 0.0000
T-DIST. DOF 2.563125 0.164284 15.60182 0.0000
R-squared 0.028141 Mean dependent var 0.000247
Adjusted R-squared 0.025365 S.D. dependent var 0.007822
S.E. of regression 0.007722 Akaike info criterion -7.449121
Sum squared resid 0.146140 Schwarz criterion -7.430227
Log likelihood 9166.694 F-statistic 10.13863
Durbin-Watson stat 1.944860 Prob(F-statistic) 0.000000