Forecast evaluation

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j52
Posts: 19
Joined: Wed Jul 24, 2013 1:56 am

Forecast evaluation

Postby j52 » Mon Jul 29, 2013 11:07 am

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.

EViews Gareth
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Re: Forecast evaluation

Postby EViews Gareth » Mon Jul 29, 2013 11:54 am

Which forecast evaluation would you like to perform?

j52
Posts: 19
Joined: Wed Jul 24, 2013 1:56 am

Re: Forecast evaluation

Postby j52 » Wed Jul 31, 2013 7:26 am

Root Mean Square Error, Mean Absolute Error, Mean Abs. Percent Error, Theil Inequality Coefficient.

EViews Gareth
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Re: Forecast evaluation

Postby EViews Gareth » Wed Jul 31, 2013 7:53 am

Code: Select all

@rmse(y,yf) @mae(y,yf) @mape(y,yf) @theil(y,yf)

j52
Posts: 19
Joined: Wed Jul 24, 2013 1:56 am

Re: Forecast evaluation

Postby j52 » Wed Jul 31, 2013 9:51 am

Awesome, thanks a lot!

j52
Posts: 19
Joined: Wed Jul 24, 2013 1:56 am

Re: Forecast evaluation

Postby j52 » Wed Jul 31, 2013 10:15 am

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.

EViews Gareth
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Re: Forecast evaluation

Postby EViews Gareth » Wed Jul 31, 2013 10:26 am

Just type:

Code: Select all

=@rmse(y,yf)
There is no command for the components.

Nicole
Posts: 22
Joined: Thu Jul 17, 2014 12:34 pm

Re: Forecast evaluation

Postby Nicole » Wed Jul 30, 2014 7:53 am

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? :?

EViews Gareth
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Posts: 13585
Joined: Tue Sep 16, 2008 5:38 pm

Re: Forecast evaluation

Postby EViews Gareth » Wed Jul 30, 2014 8:11 am

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.


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