forecasting

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chisola
Posts: 4
Joined: Thu Jan 02, 2014 2:44 pm

forecasting

Postby chisola » Thu Jan 02, 2014 2:54 pm

hi,
I am Vittorio,
I am studying at university
and I have one problem with eviews:
I have to estimate the revenues of one company until 2022,
(i have the past value of revenues).
how can i estimate with eviews?
i am trying to forecast but I obteined an orizzontal line or this error:
unable to compute due to missing data
thanks

EViews Gareth
Fe ddaethom, fe welon, fe amcangyfrifon
Posts: 13604
Joined: Tue Sep 16, 2008 5:38 pm

Re: forecasting

Postby EViews Gareth » Thu Jan 02, 2014 5:43 pm

You need data for the independent variables over the forecast period.

chisola
Posts: 4
Joined: Thu Jan 02, 2014 2:44 pm

Re: forecasting

Postby chisola » Thu Jan 02, 2014 8:21 pm

i have the balance sheet and the income statement of this company...
i put the values(for example the revenues' growth rates to predict furure revenues) of 5 years to estimate the future values of other 10 years...how can i use forecast option?using other items?how can i write independent variables over period of forecast if it goes from 2013 to 2022?i havent future values...

startz
Non-normality and collinearity are NOT problems!
Posts: 3798
Joined: Wed Sep 17, 2008 2:25 pm

Re: forecasting

Postby startz » Fri Jan 03, 2014 7:37 am

Why don't you show everyone exactly what you've done so far. Maybe your commands, a screen shot, and attach your EViews workfile.

chisola
Posts: 4
Joined: Thu Jan 02, 2014 2:44 pm

Re: forecasting

Postby chisola » Fri Jan 03, 2014 9:40 am

I am sorry.
I have to estimate the future values of income statement and balance sheet's items from 2013 to 2022.
I have this vaulues until 2012...
for example I have the revenues' growth rate from 2008 to 2012.
assuming that this will be fixed at 6% from 2019 to 2022 can i estimate the missing rates(from 2013 to 2018)?
there are other way to estimate?i am trying to click forecast's option of rev's growth rate equation :

Dependent Variable: REV_GROWTH_RATE
Method: Least Squares
Date: 01/03/14 Time: 17:21
Sample (adjusted): 2009 2012
Included observations: 4 after adjustments

Variable Coefficient Std. Error t-Statistic Prob.

C 1.382442 0.302718 4.566771 0.1372
REVENUES 6.49E-05 0.000141 0.461297 0.7248
CORE_BUSINESS -8.71E-05 0.000159 -0.548685 0.6805

R-squared 0.928700 Mean dependent var 0.569875
Adjusted R-squared 0.786099 S.D. dependent var 0.305666
S.E. of regression 0.141369 Akaike info criterion -0.961188
Sum squared resid 0.019985 Schwarz criterion -1.421467
Log likelihood 4.922376 Hannan-Quinn criter. -1.971236
F-statistic 6.512598 Durbin-Watson stat 2.402332
Prob(F-statistic) 0.267021
Attachments
Immagine.png
Immagine.png (144.56 KiB) Viewed 4949 times

startz
Non-normality and collinearity are NOT problems!
Posts: 3798
Joined: Wed Sep 17, 2008 2:25 pm

Re: forecasting

Postby startz » Fri Jan 03, 2014 9:50 am

In order to forecast from a regression, you need to provide values of the right hand side variables for the period you wish to forecast. You might want to use an equation for which this is easier for you to do: for example, use lagged revenue growth, REV_GROWTH_RATE(-1), as the independent variable.

Moreover, note that your regression only includes 4 observations.

chisola
Posts: 4
Joined: Thu Jan 02, 2014 2:44 pm

Re: forecasting

Postby chisola » Fri Jan 03, 2014 1:14 pm

can i add other indep var?but I don't think that others are good to explain revenues..what indep var I can add?I put also lagged var now...but it doesn't work...
do u know how people estimate future value of income statement's items?

trubador
Did you use forum search?
Posts: 1520
Joined: Thu Nov 20, 2008 12:04 pm

Re: forecasting

Postby trubador » Fri Jan 03, 2014 3:20 pm

What you estimate is the following:

Code: Select all

Y(t) = b0 + b1*X1(t) + b2*X2(t) + e(t)
What you want to forecast is the following:

Code: Select all

Yf(t+h) = b0 + b1*X1(t+h) + b2*X2(t+h)
h is the forecast horizon (1,2,...,6 in your case)
So, as Gareth pointed out, in order to forecast Y(t+h) you need values of X1 and X2 from t+1 to t+6.
Or, as Startz suggested, you can use Y(t-1) as independent variable instead of (not in addition to) X1 and X2.

Code: Select all

Y(t) = c0 + c1*Y(t-1) + v(t)
Then you can use dynamic forecast to generate future values:

Code: Select all

Yf(t+h) = c0 + c1*Yf(t+h-1)


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