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Forecast evaluation
Posted: Mon Jul 29, 2013 11:07 am
by j52
Hello,
is there an option to generate a forecast evaluation of two imported series, e.g. to compare the actual generated forecast (w/o using eviews) of a company to the actual sales?
Thanks a lot.
Re: Forecast evaluation
Posted: Mon Jul 29, 2013 11:54 am
by EViews Gareth
Which forecast evaluation would you like to perform?
Re: Forecast evaluation
Posted: Wed Jul 31, 2013 7:26 am
by j52
Root Mean Square Error, Mean Absolute Error, Mean Abs. Percent Error, Theil Inequality Coefficient.
Re: Forecast evaluation
Posted: Wed Jul 31, 2013 7:53 am
by EViews Gareth
Code: Select all
@rmse(y,yf)
@mae(y,yf)
@mape(y,yf)
@theil(y,yf)
Re: Forecast evaluation
Posted: Wed Jul 31, 2013 9:51 am
by j52
Awesome, thanks a lot!
Re: Forecast evaluation
Posted: Wed Jul 31, 2013 10:15 am
by j52
Might be a stupid question, buT how do I show the value? Do I have to create a series: series RMSE=@RMSE(d,df)? Or is there a faster way to show the one or even all of the evaluations at once? And what the command for the Theil's Bias, Variance and Covariance Proportion? Thanks a lot.
Re: Forecast evaluation
Posted: Wed Jul 31, 2013 10:26 am
by EViews Gareth
Just type:
There is no command for the components.
Re: Forecast evaluation
Posted: Wed Jul 30, 2014 7:53 am
by Nicole
Hi,
I am using Eviews 8. When I try to calculate the RMSE and MAE for my forecasts using the @mae(return,returnf) and @rmse(return,returnf), but I keep getting the same number for both measurement errors. How can this be? Am I typing it incorrectly? :?
Re: Forecast evaluation
Posted: Wed Jul 30, 2014 8:11 am
by EViews Gareth
Code: Select all
create u 10
series return=nrnd
series returnf=nrnd
scalar rmse = @rmse(return, returnf)
scalar mae = @mae(return, returnf)
show rmse
show mae
Run that a few times, you should get different numbers each time.