Generating Correlated Bivariate Normal Variables
If z1 and z2 are independent standard normal variables N(0, 1), one can create correlated bivariate normal variables with the following transformation, 
Step 1: Calculate E [?12], E [?2 2], E [?1 ?2].
Step 2: Generate 10000 bivariate normal random variables using Excel and the above transformation [recall the use of NORMSINV (Rand ())].
Step 3: Calculate E [?1?2] for your generated 10000 variables. Does the answer make sense?