How do I obtain a variance-covariance matrix?

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I am trying to maintain the variance-covariance matrix of a 10 asset portfolio of stocks. The data is represented by a column of returns for 10 stocks. I.e.
Stock A Stock B
Return 1 Return 1
Return 2 Return 2
Etc Etc
When I upload my data I have tried the cov(data) function but it will not work. I keep receiving this message:
"Undefined function 'sum' for input arguments of type 'dataset'.
Error in cov (line 154) xc = bsxfun(@minus,x,sum(x,1)/m); % Remove meanUndefined function 'sum' for input arguments of type 'dataset'.
Error in cov (line 154) xc = bsxfun(@minus,x,sum(x,1)/m); % Remove mean"
My question is how do I proceed with finding the average returns of each stock and the variance-covariance matrix?
  3 个评论
Calum Crichton
Calum Crichton 2016-1-26
The imported file is an excel, xlsx, spreadsheet. Label names are only in the first row of every column, which Matlab recognises by default. So I'm unsure why I can't obtain the information I want
jgg
jgg 2016-1-27
No, what is the data type of the information you've loaded in. It looks like you're passing the entire dataset object, instead of just the data, but I can't tell without seeing your code.

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