I have a 3740x5 matrix called 'Rets'. I want to find the mean of every column vector. I tried using the function mean(Rets) and this is what I get:
mean(Rets)
ans =
1.0e-03 *
0.1591 0.2098 0.1475 -0.0623 -0.8807
I should only have 5 values in this row vector (from 0.1591 to -0.8807, as shown above), why do I have 6 values? I understand 1.0e-03 is the average of all the values in the row vector. So here is my question: How can I create a vector that only has these 5 values I need? Thanks!

2 Kommentare

John D'Errico
John D'Errico am 15 Jul. 2014
Look at the little * there. * means multiplication in matlab.
civs
civs am 16 Jul. 2014
Hi John, thanks for your answer. Please see my answer to James Tursa below.

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James Tursa
James Tursa am 15 Jul. 2014
Bearbeitet: James Tursa am 15 Jul. 2014

2 Stimmen

There are five values listed. Each of the five values in the 2nd row is multiplied by the factor 1.0e-3. It is MATLAB's way of writing the following equivalent information:
0.1591e-3 0.2098e-3 0.1475e-3 -0.0623e-3 -0.8807e-3
To convince yourself of this, do the following:
size(ans)

3 Kommentare

civs
civs am 16 Jul. 2014
Hi James, Thank you very much for your answer. This makes perfect sense, however, I have another vector called 'Wmin', these are the asset weights of a portfolio:
>> Wmin
Wmin =
0.0211
0.2977
0.4616
0.1835
0.0361
I created the vector mean_ret_assets= mean(Rets). I tried element-wise multiplication Wmin.*mean_ret_assets and I get an error that says:
>> Wmin.*mean_ret_assets Error using .* Matrix dimensions must agree.
If the two vectors have 5 elements, why am I getting this error? I don't understand. Thanks again!
One is a row vector and the other is a column vector. You can't element-wise multiply a 1x5 with a 5x1. To get around this, e.g., you could turn the row vector into a column vector with the (:) notation, like this:
Wmin.*mean_ret_assets(:)
civs
civs am 16 Jul. 2014
James, THANK YOU SOOOOO MUCH!!! It's looking good now, thank you thank you!!! :)

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