Genetic correlations that doesn't make sense

Hi, I'm trying to estimate a multivariate ACE model. I started by checking a correlated factors solution (umxACEv), but there are some correlations that just can't be real (e.g., 2.02).

| | rA1|rA2 |rA3 |rA4 |rC1 |rC2 |rC3 |rC4 | rE1|rE2 |rE3 |rE4 |
|:----------|-----:|:----|:-----|:---|:---|:---|:---|:---|-----:|:-----|:-----|:---|
|x | 1.00| | | | | | | | 1.00| | | |
|y | -0.40|1 | | | | | | | 0.17|1 | | |
|z | 0.03|0.38 |1 | | | | | | -0.03|-0.03 |1 | |
|w | 0.15|2.02 |-0.21 |1 | | | | | 0.06|-0.41 |-0.07 |1 |

Standardized variance-based models may yield negative variances...
Warning message:
In sqrt(I * C) : NaNs produced

So I checked what are the computed correlations in a cholesky model (umxACE), and there are different correlations, in this case they are all in bounds, but still a correlation of 0.98 between two completely different variables, that were measured in two different ages, seem to be really weird. Furthermore, there are a lot of estimates that are drastically different both in magnitude (C correlations) and in direction, between the two models.

| | rA1|rA2 |rA3 |rA4 | rC1|rC2 |rC3 |rC4 |rE1 |rE2 |rE3 |rE4 |
|:----------|-----:|:----|:----|:---|-----:|:-----|:----|:---|:----|:-----|:-----|:---|
|x | 1.00| | | | 1.00| | | |1 | | | |
|y | -0.39|1 | | | -0.11|1 | | |0.16 |1 | | |
|z | -0.07|0.27 |1 | | -0.97|-0.15 |1 | |. |-0.02 |1 | |
|w | -0.20|0.98 |0.25 |1 | -1.00|0.17 |0.95 |1 |0.08 |-0.33 |-0.14 |1 |

I'd appreciate any thoughts of why such values can occur.

Thanks!