Teng & Perkins Flashcards
Reasons for popularity of retrospective rated policies (3)
- attracts preferred customers - encourages loss control through returned premiums for good loss experience
- cash flow advantages b/c premiums are paid as losses are reported
- shifts a large portion of the risk to insured
Premium asset
= expected ultimate premium - current booked premium
OR sum of expected future retro adjustments
Formula for premium at the nth rating adjustment
premium = ( basic premium + ( capped losses * LCF ) ) * tax multiplier
First PDLD ratio using the retro formula approach
P(1) / L(1) = ( basic premium / L(1) ) * tax multiplier + cumulative loss capping ratio * LCF * tax multiplier
Approximation for loss at time n
L(n) = standard premium * ELR * % loss emerged at time n
Interpretation of the cumulative loss capping ratio and portion of losses outside bounds of retro min and max
( 1 - cumulative loss capping ratio ) % of losses developed through the nth rating adjustment are eliminated by the retro max, retro min, and per accident limits
portion of loss outside retro min and max bounds = capped losses - uncapped losses
Subsequent PDLD ratios using the retro formula approach
= change in premiums / change in losses
= incremental loss capping ratio * LCF * tax multiplier
Incremental loss capping ratio
= ( capped loss at time 2 - capped loss at time 1 ) / ( uncapped loss at time 2 - uncapped loss at time 1 )
Advantages of the retro formula approach for calculating PDLD ratios (2)
(Teng and Perkins)
- responds to changes in retro rating parameters sold
2. PDLD ratios are more stable
Disadvantages of the retro formula approach for calculating PDLD ratios (2)
(Teng and Perkins)
- potential bias exists because average retro rating parameters are used
- does not reflect changes in loss experience
Data required for the empirical approach to calculating PDLD ratios and explanation of lag (2)
- booked premium development (27 months)
- reported loss development (18 months)
annual subsequent evaluations
lag is due to delay in processing and recording retro adjustments
PDLD ratios (first and subsequent) using the empirical approach
1st PDLD ratio = cumulative booked premium / cumulative reported losses
subsequent PDLD ratios = change in booked premiums / change in reported losses
** calculate triangle of factors and select average at each retro adjustment
Reasons for an upward trend in PDLD ratios (2)
- more liberal retro rating parameters sold (more losses covered by premiums)
- improvement in loss experience (larger portion of loss w/in retro boundaries)
Reasons historical PDLD ratios may fluctuate significantly after 1st adjustment (3)
- premium or loss development on a few policies can drive total incremental development
- significant upward development in high loss layers results in no additional premium
- downward development on layers w/in loss limits can result in returned premium
> > 2 and 3 mean negative PDLD ratios are possible
How to respond if there are large fluctuations in historical PDLD ratios (2)
- average as many historical points as possible
2. use the retro formula approach