Generating covariance from matrix

I have the data y as follows and I am trying to find the covariance between the 1st row and 2nd row, 2nd row and 3rd row, 3rd row and 4th row, so on. I don't seem to be able to save the values into a matrix either and would appreciate any hints. Thank you!

y = rand(20,1)
for i = 1:20
    autocov=cov(y(i:19),y(i+1:20))
end

Answer 1

[Walter Roberson]

N = 20;
y = rand(N,1);
autocov = zeros(2, 2, N);
for i = 1:N
    autocov(:, :, i) = cov(y(i:19),y(i+1:20));
end

The result will be a 2 x 2 x 20 array.

[Ryan Chow]

I'm guessing the code should be something like (after modification from yours):

N = 20;
y = rand(N,1);
for i = 1:N
    autocov = cov(y(i:19),y(i+1:20))
end

What I then get would be 19 of the following:

autocov =

0.0662 -0.0166

-0.0166 0.0630

autocov =

0.0486 -0.0194

-0.0194 0.0666

Is there any way I could write a loop to save those numbers in bold in another vector?

Thanks!

[Walter Roberson]

N = 20;
y = rand(N,1);
cov12 = zeros(1,N);
for i = 1:N
    autocov = cov(y(i:19),y(i+1:20));
    cov12(i) = autocov(1,2);
end