Hi, I would like to ask a statistics questions. One way to generate a correlation matrix with normally distributed entries is by generating a matrix A with uniform or normal rows. Then normalize each row to get B. Then B times transpose B is the desired matrix. However, the standard deviation of the entries is not large enough for my purpose. Is there a method to generate a normally distributed correlation matrix with a controlled (larger) standard deviation? Thanks for any help. Best, Richard