Potential benefits of using analytics in insurance
REL
- REVEALS insights into insurance costs
- ENCOURAGES better risk management
- LOWERS many consumer costs
Challenge state insurance regulators face with predictive models
Many lack the necessary tools to effectively review rapidly evolving predictive models
2 main responsibilities given to the Casualty Actuarial and Statistical Task Force
Purpose of guidance provided by Casualty Actuarial and Statistical Task Force
Enhance uniformity in regulatory processes while considering state-specific insurance needs
What is the purpose of regulatory best practices for predictive models?
PUB
- Support PARAMETER valuation
- Improve model UNDERSTANDING
- Provide a BASELINE for state regulators
Do regulatory best practices create standards for filings with predictive models
NO! but they help identify model elements and improve rating plans for consumers
How do regulatory best practices help state insurance regulators and the industry
GIFIA
- GUIDE regulators
- IDENTIFY key model elements
- FACILITATE resource sharing
- IMPROVE review quality
- AID in training
How do regulatory best practices benefit state insurance marketplaces?
They ENHANCE market speed and competitiveness by improving review processes
How do regulatory best practices assist new insurance regulators?
They PROVIDE training and help IDENTIFY needed resources for model reviews
How do regulatory best practices help state insurance regulators?
Regulatory Review Items to Include: Check that RATING FACTORS have these 3 characteristics
Regulatory Review Items to Include: Check the following 4 items regarding DATA and MODEL
BAAF
1. How the model was BUILT
2. ACCURACY of input data
3. ADJUSTMENTS to raw data
4. Update FREQUENCY of risk characteristics
Regulatory Review Items to Include: Check INTERACTION of the model with the rating plan
Regulatory Review Items to Include: Check for these 3 desired characteristics regarding the INSURANCE MARKETPLACE