Health NSLT HRES Adjustment
Calculate the Total Non-Similar-to-Life Techniques Standard Deviation instantly.
| Segment | Non-HRES Premium | HRES Premium | Non-HRES Reserve | HRES Reserve | Premium Sigma | Reserve Sigma | Segment Sigma |
|---|---|---|---|---|---|---|---|
| Medical Expense | 5.00% | 5.42% | 4.49% | ||||
| Income Protection | 7.52% | 10.85% | 7.71% | ||||
| Workers' Compensation | 6.64% | 8.22% | 6.37% | ||||
| Non-Proportional Health | - | - | 17.00% | 20.00% | 15.79% |
Total NSLT Standard Deviation
5.09%
=
Square-Root Portfolio Variance
€4 696 181
÷
Total HRES-Adjusted Volume
€92 253 807
HRES-adjusted NSLT correlation build-up
| Step | Impact | Running |
|---|---|---|
| Medical Expense | 1931806.1496951499 | 1931806.1496951499 |
| Income Protection | 1851200.6239195147 | 3783006.7736146646 |
| Workers' Compensation | 1273067.1624073882 | 5056073.936022053 |
| Non-Proportional Health | 829549.5707923131 | 5885623.506814365 |
| HRES Sigma-Volume Sum | 5885623.506814365 | 5885623.506814365 |
| Diversification Benefit | -1189442.3292847155 | 4696181.17752965 |
| Square-Root Portfolio Variance | 4696181.17752965 | 4696181.17752965 |
| Module | Share | Amount |
|---|---|---|
| Medical Expense | 32.8% | €1.9M |
| Income Protection | 31.5% | €1.9M |
| Workers' Compensation | 21.6% | €1.3M |
| Non-Proportional Health | 14.1% | €830K |
NSLT correlation matrix
1.000.50
| 1Medical Expense | 2Income Protection | 3Workers' Compensation | 4Non-Proportional Health | |
|---|---|---|---|---|
| 1Medical Expense | 1.00 | 0.50 | 0.50 | 0.50 |
| 2Income Protection | 0.50 | 1.00 | 0.50 | 0.50 |
| 3Workers' Compensation | 0.50 | 0.50 | 1.00 | 0.50 |
| 4Non-Proportional Health | 0.50 | 0.50 | 0.50 | 1.00 |
1Step 1
Blend base and HRES sigma factors by premium and reserve volume split
2Step 2
Calculate each segment standard deviation from adjusted premium and reserve sigmas
3Step 3
Aggregate NSLT segment standard deviations using the NSLT correlation matrix
Default values are illustrative sample inputs for navigation, training, and QA. Replace them with controlled data before using the result in capital analysis, governance, or reporting decisions.