Filtering regressions with significant parameters
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Filtering regressions with significant parameters
I have calculated 37,200 regressions and I would like to filter out those that have all their significant parameters at 5%, is it possible to program this? 
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EViews Gareth
- Fe ddaethom, fe welon, fe amcangyfrifon
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startz
- Non-normality and collinearity are NOT problems!
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Re: Filtering regressions with significant parameters
I'm just curious as to why you want to do this?
Re: Filtering regressions with significant parameters
I need to choose within a combination of time series models (garch models), and I need the model with the best information criterion to have all the parameters significant at least 5% (and that the residuals are random). with 37,200 calculated regressions, I wanted to know if there is a faster way
PD: for a AG-DCC model
PD: for a AG-DCC model
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startz
- Non-normality and collinearity are NOT problems!
- Posts: 3797
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Filtering regressions with significant parameters
I can see looking at the information criterion. But why would you specify that all the coefficients should be significant?
Re: Filtering regressions with significant parameters
To make sure than the GARCH model is well specified. If the variance has no asymmetry, it does not make sense to use a GARCH with asymmetry to model the residuals. (i need to calculate the standard residuals)
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