Simulation of SARIMA

[mariusfu]

I have found a sarima model using R, and want to make a stochastic simulation of that model in Eviews 7.
The objective is to find a distribution of the values during the forecasting period.

I have:
- imported time series for the variable (inflow) and the residuals obtained in R
- created a model, based on the sarima from R:
d(inflow , 1 , 52) = - 0.3541*d(inflow(-1) , 1 , 52) + 1.1491 * d(inflow(-2) , 1 , 52) + 0.2523 * d(inflow(-3) , 1 , 52) - 0.2857 * d(inflow(-4) , 1 , 52) + 0.0078 * d(inflow(-5) , 1 , 52) - 0.0793 * d(inflow(-6) , 1 , 52) + 0.1148 * d(inflow(-7) , 1 , 52) + 0.0927 * residual_series(-1) - 1.7196 * residual_series(-2) - 0.1925 * residual_series(-3) + 0.8200 * residual_series(-4) - 0.8311 * residual_series(-52)

When solving the model, I have chosen simulation type = stochastic, solution sample=715 818, method=boothstrap, Boothstrap residual draw sample= 1 714

The result is unsuccessful and I get the message:
Unable to compute due to missing data in "D(INFLOW , 1 , 52) = - 0.3541 * D(INFLOW(-1) , 1 , 52) + 1. ...

It looks like the time series for the variable (inflow) is not used in the simulation.

Do anyone have any advice?
How do you recommend to simulate an already specified sarima model?

[EViews Gareth]

Could you post your workfile?

[mariusfu]

Here is my workfile.

[EViews Gareth]

Your specification has 0.0927*residual_series(-1). Residual_series only runs up until observation 702. Thus any value after observation 703 cannot be calculated.

[mariusfu]

Instead I tried to estimate the model given coefficients from R as starting values.
I used the equation specification:
d(inflow,1,52) ar(1) ar(2) ar(3) ar(4) ar(5) ar(6) ar(7) ma(1) ma(2) ma(3) ma(4) sma(1)

I have chosen user supplied starting coefficient values in the option window for equation estimation.
How do I insert these values? Unsuccessfully I defined:
param ar(1) -0.3541 ar(2) 1.1491 ar(3) 0.2523 ar(4) -0.2857 ar(5) 0.0078 ar(6) -0.0793 ar(7) 0.1148 ma(1) 0.0927 ma(2) -1.7196 ma(3) -0.1925 ma(4) 0.8200 sma(1) -0.8311

Also, I want to use maximum likelihood estimation, but cannot find any place to specify that.
Do anyone have any advice for estimating the SARIMA(7,1,4,0,1,1) model?

Attached is my workfile:

[EViews Gareth]

You can set the starting values by filling in the C vector in the workfile with those values.

EViews doesn't perform MLE estimation of ARIMA models.