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?

 採用された回答

Andrei Bobrov
Andrei Bobrov 2017 年 7 月 13 日
編集済み: Andrei Bobrov 2017 年 7 月 13 日

0 投票

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

1 件のコメント

Salvatore Miserendino
Salvatore Miserendino 2017 年 7 月 16 日
Thank you Andrei. This makes the calculation of the moving standard deviation definately easier but any idea on how to calculate the moving correlation?

サインインしてコメントする。

その他の回答 (0 件)

カテゴリ

ヘルプ センター および File ExchangeLoops and Conditional Statements についてさらに検索

タグ

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by