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Corebridge Financial CRBG Group Retirement — Actual outcome different from model expected outcome
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Where this comes from
Reported directly by Corebridge Financial in its filing.
Tagged under the XBRL concept us-gaap:MarketRiskBenefitIncreaseDecreaseFromActualPolicyholderBehaviorDifferentFromExpected.
The source filing: Corebridge Financial’s 10-Q, filed May 6, 2026.
- Filed
- May 6, 2026, 10:53 AM EDT
- Fiscal quarter
- Q1 FY2026
- Calendar quarter
- Q1 2026
- Accession
- 0001889539-26-000116
| (in millions, except for attained age of contract holders) / Three Months Ended March 31, 2026 | Individual Retirement | Group Retirement | Corporate and Other | Total |
|---|---|---|---|---|
| Effect of changes in interest rate volatility | (4) | 1 | 21 | 18 |
| Effect of changes in equity markets | 11 | 21 | 136 | 168 |
| Effect of changes in equity index volatility | (1) | 3 | (42) | (40) |
| Actual outcome different from model expected outcome | 16 | (2) | 46 | 60 |
| Effect of changes in future expected policyholder behavior | — | — | — | — |
| Effect of changes in other future expected assumptions | — | — | (10) | (10) |
| Other, including foreign exchange | — | — | — | — |
| Balance, end of period before effect of changes in our own credit risk | 4,919 | 300 | (62) | 5,157 |
Item 1. | Financial Statements
FAQ
- What is Corebridge Financial's group retirement — actual outcome different from model expected outcome?
- Corebridge Financial (CRBG) reported group retirement — actual outcome different from model expected outcome of -$2M in Q1 2026.
- How has Corebridge Financial's group retirement — actual outcome different from model expected outcome changed year-over-year?
- Corebridge Financial's group retirement — actual outcome different from model expected outcome increased by 90.0% year-over-year, from -$20M to -$2M.
- What does group retirement — actual outcome different from model expected outcome mean?
- This metric represents the variance between the actual financial results of the segment and the results predicted by internal actuarial and financial models. It serves as a diagnostic tool for model risk and the accuracy of underlying assumptions. Significant deviations may indicate a need to recalibrate models or adjust business strategy.
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