Rolling principal component -- standardized variables

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johng17
Posts: 1
Joined: Wed Sep 19, 2018 7:36 am

Rolling principal component -- standardized variables

Postby johng17 » Wed Sep 19, 2018 8:41 am

Hi,

I have coded a rolling principal component analysis, and want to check to make sure that each series used in the PCA is standardized appropriately in the rolling windows (i.e. using each window's sample mean and standard deviation). Looking at the Eviews guide and in the forum, it seems like this type of normalization should be the default, but I cannot replicate the results.

I have two sets of data that I'm running through the code to cross-check results:
1) the raw data from the original series
2) the rolling z-scores of this raw data

The principal component series from these two sets of data should be the same, but there are some level discrepancies. Is there a way to check how the raw data is being standardized in each of the rolling windows as the principal component is being calculated?

I have Eviews 9.

Thanks!

Deedee
Posts: 1
Joined: Wed Feb 06, 2019 5:24 am

Re: Rolling principal component -- standardized variables

Postby Deedee » Thu Feb 07, 2019 6:22 am

What is the most appropriate code to run a Rolling PCA, when the data used is daily and number of observations are 242 ?
Any help will be really appreciated.


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