OSFI.Eqk Flashcards
What is a broad 3-point plan for managing earthquake exposure?
Measure / Monitor / Limit earthquake exposure
Define PML (Probable Maximum Loss)
$-value of loss a major earthquake is unlikely to exceed ($-loss expected only once per X years)
Define gross PML & net PML
Gross PML : after deductible, BEFORE reinsurance
Net PML: after deductible, AFTER reinsurance
Identify the key principles for managing earthquake exposure
- Risk management
- Data management
- Models
- PML (Probable Maximum Loss)
- Financial Resources and Contingency Plan
Briefly describe the following key principle for earthquake exposure: Risk Management
Insurers should have a sound and comprehensive earthquake exposure risk management policy that is overseen by senior management
Briefly describe the following key principle for earthquake exposure: Data Management
Earthquake exposure data needs to be appropriately captured and regularly tested for consistency, accuracy and completeness
- Data required is MORE than for traditional ratemaking
- Must address data INTEGRITY, VERIFICATION, LIMITATIONS
Briefly describe the following key principle for earthquake exposure: Models
Earthquake models should be used with a sound knowledge of their underlying assumptions and methodologies, as well as a high degree of caution that reflects the significant uncertainty in such estimates
Briefly describe the following key principle for earthquake exposure: PML (Probable Maximum Loss)
PML estimates should properly reflect the total expected ultimate cost to the insurer, including considerations for data quality, non-modelled exposures, model uncertainty and exposures to multiple regions
Briefly describe the following key principle for earthquake exposure: Financial Resources & Contingency Plan
Insurers need to ensure that they have an adequate level of financial resources and appropriate contingency plans to successfully manage through a major earthquake
- Financial resources: quantification of how financial resources cover PML
- Contingency plan: how to continue efficient business operations after disaster
Identify elements that earthquake exposure risk management policies and procedures should document (4)
- Risk appetite and risk tolerance of insurer
- Identification and estimation of relevant PML factors
- Data management practices
- Exposure aggregation monitoring and reporting
Identify and briefly describe the best practices for earthquake modeling (7)
Docs:
- document how use of model fits within risk management program (ex: for measuring & monitoring of exposure)
Alternatives:
- Understand current modelling alternatives and why the model used is appropriate for the applicable insurance portfolio
Qualified:
- Ensure there are adequately qualified staff to appropriately run the models on a regular basis when EQK models are used in-house
Knowledge:
- Must have sound knowledge/understanding of assumptions, methods, limitations of earthquake model
Data:
- Should provide evidence to show that granularity & quality of data is appropriate
Uncertainty:
- Must understand model uncertainty and how this is addressed in determining capital adequacy
PMLs:
- if model 1 ≠ model 2 when more than 1 model is used, then must explain key reasons for differences & any subsequent model adjustments
Identify uses of earthquake models aside from PML calculations (2)
- Make U/W decisions
- Monitor exposure-accumulations
What are sound practices for earthquake model VERSION (4)
- Consider use of more than 1 model to counter inherent uncertainty in models
- Ensure timely updates of material changes to model (within 1 year of change)
- When using vendor software to determine its PML, it is important for an insurer to understand the model, its purpose, use and limitations.
- If in-house PML model is used, it is expected to be updated regularly and should compare result to alternate models
What are sound practices for earthquake model VALIDATION (4)
- Compare modeled losses with actual losses (should be consistent over time)
- Compare tail losses with market price for reinsurance (not a validation per se, but will serve as a source for further investigations)
- The setting and refinement of model parameters, including loadings for non-modelled risks or costs, should be robust and reflect the results of the model validation process
- Model validation process should be documented, and should clearly identify any limitations of the model or the data in assessing risk.
How might management adjust for low data quality in earthquake PML estimate?
May add a margin of safety to the PML estimate (not an excuse to ignore data quality)