Title: Practical analysis of Prior Year loss reserve volatility
1Practical analysis of Prior Year loss reserve
volatility Patrick Grealy FIA
Israel June 2012
2Overview
- General overview of reserving
- Features of a Reserving System Process
- Characteristics of the Process
- Look at practical example including Stochastic
Decay Method - Deterministic v Stochastic
- Future developments
3Reserving Systems
- System to generate Deterministic Stochastic
Reserve estimates for use in another Financial
modeling process ? - Process driven system for estimating unpaid loss
and pipeline premiums for insurers and reinsurers
on a frequent recurring cycle (quarterly?) - Assess future cash flow expectation from prior
years business for discounting purposes? - Assess likely Salvage Subrogation recoveries on
Claims? - Generate likely future claims handling expenses?
- Estimate Future claim count and hence Average
cost per claim - Consider the impact of future claims in multiple
currencies?
4Characteristics of Reserving System
- Easy and intuitive interface
- Handle multiple lines of business
- Stochastic and deterministic methods
- Batch import of multiple classes
- Paid Incurred Claims
- Premiums
- Claim Counts
- Salvage Subrogation
- Gross and Net
- Multiple FX
- Correlation
- Integrate ESG Variables
5Stochastic vs Deterministic
- Point estimate versus a range of possible
outcomes with probability weightings. - Single number required for main Statutory and
Regulatory purposes and traditionally what was
produced. - Quite an exercise to generate point estimates
- Often quite a number of manual adjustment and
judgmental selections based on experience - Gross and Net?
- Often some a priori assumptions used in
deterministic methods that use pricing and
exposure assumptions - Stochastic methods relatively recent body of work
- Stochastic methods open up new opportunities to
include other drivers of variability such as FX
and inflation
6Future Developments?
- Integration of ESG and macro economic variables
- Inclusion of Inflation adjusted methods
- Additional stochastic methods