package ‘gsl’ successfully unpacked and MD5 sums checked
package ‘ADGofTest’ successfully unpacked and MD5 sums checked
package ‘stabledist’ successfully unpacked and MD5 sums checked
package ‘mvtnorm’ successfully unpacked and MD5 sums checked
package ‘pspline’ successfully unpacked and MD5 sums checked
package ‘copula’ successfully unpacked and MD5 sums checked

The downloaded binary packages are in
C:\Temp\RtmpCw8dcM\downloaded_packages

Actual

Simulated

Correlation

57.13

57.38

Mean FB

-0.31

-0.47

Mean YHOO

-0.40

-0.17

StDev FB

1.24

1.25

StDev YHOO

1.23

1.23

FB

Two-sample Kolmogorov-Smirnov test
data: rets[, i] and fit.sim[i]
D = 0.9404, p-value = 0.3395
alternative hypothesis: two-sided

YHOO

Two-sample Kolmogorov-Smirnov test
data: rets[, i] and fit.sim[i]
D = 0.8792, p-value = 0.4222
alternative hypothesis: two-sided

Actual

Simulated

Correlation

57.13

57.14

Mean FB

-0.31

-0.22

Mean YHOO

-0.40

-0.56

StDev FB

1.24

1.24

StDev YHOO

1.23

1.21

FB

Two-sample Kolmogorov-Smirnov test
data: rets[, i] and fit.sim[i]
D = 0.7791, p-value = 0.5787
alternative hypothesis: two-sided

YHOO

Two-sample Kolmogorov-Smirnov test
data: rets[, i] and fit.sim[i]
D = 0.795, p-value = 0.5525
alternative hypothesis: two-sided

Please note that Standard Deviation is huge relative to the Mean, which is close to zero;
hence, we are very likely to get positive and negative outcomes in some cases.

For additional references on the topic, I found following references very useful: