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For loop over different dimensions

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I have to loop over i portfolios with different dimensions, in order to obtain OLS estimates
My length of the portfolios can be anything between 60 to 180.
For now it is a fairly simple loop, if I just have a fixed length on say 180, however I can't find a solution, when I have to extend the loop and allow for different dimensions.
I am thinking I need to put a restriction on both my X matrix (Explanatory variables) and Y matrix (Portfolios), so the loop will switch to the different dimensions depending on which i'th portfolio it loops over.
Here is the loop now:
for i = 1:size(portfolios,2)
X=[alfa factor]; % My matrix containing explanatory variables
y=portfolios(:,i); % Between 60 and 180 observations
results=ols(y,X); % Functionen constructing a struct with prefered OLS estimates
estimates(:,i)=results.beta;
tstat(:,i)=results.tstat(1);
residuals=results.resid;
end
Thanks in advance.

  2 Comments

darova
darova on 19 Feb 2020
I don't understand the question
X=[alfa factor]; % My matrix containing explanatory variables
alfa and factor are of different sizes? Are you trying to concantenate them?
Anton Sørensen
Anton Sørensen on 19 Feb 2020
No.
I have i portfolios of different lenghts, between 60 and 180 observations.
Then I have my explanatory variables (factors), they are 180 observations long.
Say, I have a portfolio that is 60 observations and one that is 100 observations.
I then want the loop to be able to first run an OLS regression that use the 60 observations for the first portfolio and regress those on the first 60 observations in my "factors" matrix and after that, the loop should be able to do that for the portfolio that is 100 long for the first 100 observations, and so on.
I hope it makes sense :)

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Accepted Answer

darova
darova on 19 Feb 2020
What about filling with NaN?
y = portfolios(:,i); % Between 60 and 180 observation
if length(portfolios(:,i)) < 180
y(end+1:180) = nan;
end
results = ols(y,X); % Functionen constructing a struct with prefered OLS estimates

  20 Comments

Anton Sørensen
Anton Sørensen on 22 Feb 2020
Thanks. I have accepted the answer, but I still have a problem.
I will try to post a new thread, when I have assembled my data and I can show you the specific problem in the code. I hope you will see the thread, darova. :)
Appreciate the help.
Anton Sørensen
Anton Sørensen on 22 Feb 2020
:)
If you can think of a way to load/import data of different dimensions without adding NaN to non filled entries, or you can loop directly without importing first, that would be of great help! I am struggling to see a solution, since my matrix is in different lengths. But, as I told you previously I will later provide my whole dataset and code for you to see, in that way the problem should be obvious, I know it is not easy to see it just from words..

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More Answers (1)

Anton Sørensen
Anton Sørensen on 21 Feb 2020
Edited: Anton Sørensen on 21 Feb 2020
Hi again,
So as I have tried to explain. My Y(portfolios) have between 60-180 observations and I need somehow to loop over all of them in order to regress those observations on my X factors. And my X factors therefore need to be adjusted to the same length as the different portfolios. If I can do that, I can run my function 'ols' and then obtain my estimates.
Does that make sense?
Thanks.

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