Dear All,
I have this program and I need help with a little adjustment.
This program is suppose to first run a combination of dependent variable and independent variables and then it do a recursive regression. So when it runs the combination it saves all the rbar-squared, BIC and AIC values. it is suppose to do the same procedure again but recursively for next month and so on. And then save all the rbar-squared, BIC and AIC values. I know it should not be difficult to do it, but I have been trying to fix this program for a week now and I have not been able to fix it.
Please, can anyone who knows eviews well just adjust this for me.
Thank you so much.
Regards
Help with final adjustment of program
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Help with final adjustment of program
Last edited by RouzbehR on Thu Aug 09, 2012 3:49 am, edited 1 time in total.
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Re: Help with final adjustment of program
The given program seems to be a sketch of your project. Without knowing exactly what you are trying to do with your data, it is uneasy to help you.
I think that I can give you one hint at this moment. As far as I understood your question correctly, you need to make the recursive procedure to be a subroutine.
I think that I can give you one hint at this moment. As far as I understood your question correctly, you need to make the recursive procedure to be a subroutine.
Re: Help with final adjustment of program
Dear All,
Can please someone approve that the program below does what I need it to do? I need it to do a 1 period recursive regression and save all the forecasted values. My window is correct, it is just the parts with otod I need to make sure are correct.
Appreciate any help.
Best
Can please someone approve that the program below does what I need it to do? I need it to do a 1 period recursive regression and save all the forecasted values. My window is correct, it is just the parts with otod I need to make sure are correct.
Code: Select all
'run rolling regression
' set window size
!window = 119
' set step size
!step = 1
' get size of workfile
!length = @obsrange
' declare equation for estimation
equation eq1
'calculate number of rolls
!nrls = @floor((!length-!window)/!step)
'matrix to store coefficient estimates
matrix(9,!nrls) coefmat ' where 2 is the number of coefficients
'series to store forecast estimates
series fcast
'redundant series for catching start and end points
%start = "@first" '@otod(@ifirst(ser))
%end = "@last" '@otod(@ilast(ser))
'variable keeping track of how many rolls we've done
!j=0
' move sample !step obs at a time
for !i = 1 to !length-!window+1-!step step !step
!j=!j+1
' set sample for estimation period
%first = @otod(@dtoo(%start))
%last = @otod(@dtoo(%start)+!i+!window)
smpl {%first} {%last}
' estimate equation - where the equation is y=c(1) + c(2)*x1
eq1.ls excess_return c ep_l1 i1_l1
' 1-period-ahead forecast
%1pers = @otod(@dtoo(%start)+!window) 'start point
%1pere = @otod(@dtoo(%start)+!i+!window) 'end point
if @dtoo(%end) < @dtoo(%1pere) then 'check whether the forecast end point is greater than the workfile end point
exitloop
endif
' set smpl for forecasting period
smpl {%1pers} {%1pere}
' forecast with command *forecast* (see also *fit*)
eq1.forecast(f=na) yf
' set sampl to obtain the 4th period observation
smpl {%1pere} {%1pere}
' store forecasts
fcast = yf
next
smpl @all
show fcast.line
d(noerr) yf
Appreciate any help.
Best
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