Teng & Perkins Flashcards
reasons to purchase retro policies
- They encourage loss control and loss management by returning premium to the insured for good loss experience; this is great for the insurer as well because it attracts preferred customers
- They offer a cash flow advantage to insureds by allowing them to pay premium as losses are reported or paid
- Since premium varies directly with the insured’s actual loss experience, it shifts a large portion of the risk to the insured; this is great for the insurer due to increasing difficulty in predicting the cost of insurance
Advantage of using the retro formula approach
it responds to changes in the retro rating parameters that are sold. If retro parameters change significantly over time, more weight should be given to PDLF ratios derived from the formula than those derived from historical data
Disadvantage of using the retro formula
Potential bias exists since the formula approach uses the average parameters for the LDF, tax multiplier, maximum, minimum and per accident limitation. We should retrospectively test PDLD ratios against actual emergence to check for bias
two types of data needed for the empirical approach
- Booked premium development
- reported loss development
What does an upward trend in the PDLD ratios indicate
- more liberal retro rating parameters (change in retro parameters being sold), such as a higher maximum, minimum or per accident limit
- Improvement in loss experience, resulting in a larger portion of loss being within the boundaries of the retro maximum and the per accident limitation (which drives additional premium)
Why historical PDLD ratios may fluctuate significantly after the first retro adjustment
- Premium and loss development on a few policies can drive total incremental development on quarterly data
- Negative PDLD ratios are possible - upward development in high loss layers (resulting in no additional premium) and downward development in layers within loss limitations (resulting in return premium).
If large fluctuation exists, average as many historical points as possible OR use the formula approach
Historical and formula PDLD ratios could diverge for a number of reasons
- Worse (better) than expected loss experience may have caused a large portion of the loss to be outside(inside) the boundaries of the retro maximum and the per accident limitation than the formula approach predicted
- Average retro parameters may be changing over time
What is CPDLD ratio
It tells an insurer how much premium it can expect to collect for a dollar of loss that has yet to emerge
The CPDLD ratio at the first retro adjustment is usually greater than 1
- First retro premium computation includes the basic premium
- Only a small portion of loss is limited at this point
- The application of the LCF and TM results in more than a dollar of premium per dollar of loss
Reasons that the current booked premiums are different from the booked premium from the prior retro adjustment
- The timing of retro adjustments
- Minor premium adjustments
- Interim premium booking that occurs between the regularly scheduled retro adjustments
advantage of PDLD method
- Modeled directly on the retro rating formula, making it easy to explain
- Emphasis on premium sensitivity in the retro formula parallels the risk-based capital loss-sensitive contract offset in the underwriting risk charges and the loss-sensitive contract Part 7 of Schedule P
- Method is useful when changes in the retro rating plan parameters distort the indications of other methods
Why not estimate the accrued retro premium asset using a chain-ladder development procedure on historical triangles of either collected or billed premium
- Due to the lag in processing and recording retro premium adjustments, a chain-ladder estimate of the premium asset is not available until at least 9 months after the policy expiration, and it can be updated only annually thereafter.
- Using Fitzgibbon’s method or PDLD method, an initial estimate of the premium asset can be produced soon after the policy expires, using the known loss information and the relationships between incurred losses and retro premium
- The premium asset estimate can be updated each quarter as new loss data becomes available
Difficulties with regression (Y=A+Bx)
- regression performed on historical data may not apply to current policies due to changes in rating plan factors and aggregate loss ratios
- Premium on individual plans is not a simple linear function of total incurred losses (losses are capped)
Fitzgibbon’s plot
Plots net earned premium (retrospective premiums as % of SP) against incurred losses as % of SP.
Y=A+Bx
A = basic premium percentage (net premium / SP)
B = premium responsiveness.
The graph forms a straight line
reasons why the premium responsiveness (B) is not 1
- Loss limitations (retro maximum, per accident limitations)
- Minimum premium exceeds the basic premium
- A LCF and TM are applied to the incurred losses, which changes the shape