Hello
I am working on a number of price series (daily returns) and need to calculate the 90 day standard deviations and correlation with another price series. I have written this code with a for loop to calculate the standard deviation
window = 90;
T = size(Aseries,1);
condstdAseries = zeros(T-window+1,1);
for t = 1:1:T-window+1;
condstdAseries(t,1) = std(Aseries(t:t+window-1,1));
end
datecondste = ddatenumbers(window:end);
But have not managed to work out a similar solution, guess it should be a matter only to add another line of code to solve it but no success so far.
Any suggestion?

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Andrei Bobrov
Andrei Bobrov am 13 Jul. 2017
Bearbeitet: Andrei Bobrov am 13 Jul. 2017

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Use function movstd if you have MATLAB R2016a or later.
rst = movstd(Aseries(:,1),[0 window]);
condstdAseries = rst(1:end - window + 1);

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Salvatore Miserendino
Salvatore Miserendino am 16 Jul. 2017
Thank you Andrei. This makes the calculation of the moving standard deviation definately easier but any idea on how to calculate the moving correlation?

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