What are some common uses of the case outstanding dvt technique - approach #1
1. Limited used: Claim activity related to IBNR is related consistently to claims already reported
2. Mtd appropriate when applied to lines for which most claims reported in first Acc Period
* works well with CM coverage and RY analysis
What are the 5 steps in case o/s mtd #1?
1. Calculate ratios of inc. paid at x to case o/s at x-12
2. Calculate ratios of case o/s to previous case o/s
3. Project future case o/s
4. Project future incr. paid
5. Ultimate claims equal sum of incrementals
Name 2 major cases where this method doesn't work
1. Mtd assumes that future IBNR is related to clms already reported but this doesn't hold true for many lines
2. Infrequently used, lack of benchmarks
When would one use case o/s approach #2?
Self-insurer
times of transition, mergers & acquisition where there is a change and we just don't have enough historical data
What are the key assumptions for case o/s #2?
Past is indicative of the future
Claims recorded will develop in a similar manner in the future as the industry benchmark used to select reporting and payment patterns
What is different about case o/s #2?
Projects unpaid claims, not ultimate claims
What is the case o/s development factor?
(RPT CDF-Ult - 1) * (Paid CDF-ULT) - 1
(Paid CDF-Ult - RPT CDF-ULT)
List a potential difficulty with B/S Case O/S Adjustment
estimation of underlying trend in severity
Medical Malpractice
-slow pmt of claims reduces data
-severity trends can be distorted by irregular settlements and variations in CNP
Without B/S Case O/S Adjustment, rpt dvt tech will over or understate IBNR?
Without trending back Rpt Claims, IBNR will be overstated b/c change in operations would have caused reported to be too big, thus LDFs would be too big
Describe the two relationships that approximate Cum # closed claims (X) and Cum Paid Clms (Y)
1. Exponential curve Y = a*exp(bX)
2. Linear relationship:
Two alternatives for the derivation of CDFs in B/S
Linear regression of CDFs at each age
Exponential regression of CDF at each age to select CDF
What is the key assumption of B/S #2
Higher % of closed claim counts relative to ultimate claim count is associated with higher % of ult claims paid
Potential difficulty with adjustment of B/S
1. Lack recognition of settlement patterns by size of loss may incr error
2. If # small clms closed Decr and large claims closed are incr, then may see overall decrease in closure rate but increase in claims paid