A14 Flashcards
Define the following terms: Premium asset
Teng & Perkins
Premium asset – for retrospectively rated policies, this represents the premium that the insurer expects to collect based on the expected ultimate loss experience, less the premium that the insurer has already booked
Define the following terms: Standard premium
Teng & Perkins
Standard premium – manual premium adjusted for experience rating
Define the following terms: Premium deviation
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Premium deviation – amount by which the booked premium differs from the standard premium
Define the following terms: Retro reserve
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Retro reserve – the di↵erence between the premium deviation to date and the ultimate premium deviation
Provide three advantages of retrospectively rated policies.
Teng & Perkins
- They encourage loss control and loss management by returning premium to the insured for good loss experience
- 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
Briefly describe two methods for calculating the retro reserve.
Teng & Perkins
Method 1: Analyze the historical relationship between the loss ratio and the premium deviation, and apply that relationship to the projected loss ratio to determine the pro- jected ultimate premium deviation. Then, subtract the premium deviation to date from the ultimate premium deviation to produce the retro reserve
Method 2: Estimate ultimate premium using the historical premium emergence pattern, and then subtract current premium to get the retro reserve
Provide one advantage of using the retro formula to estimate the PDLD ratio.
Teng & Perkins
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 PDLD ratios derived from the formula than those derived from historical data
Provide one disadvantage of using the retro formula to estimate the PDLD ratio.
Teng & Perkins
Potential bias exists since the formula approach uses the average parameters for the LCF, tax multiplier, maximum, minimum and per accident limitation. We should retrospectively test PDLD ratios against actual emergence to check for bias
a) Identify two types of data needed to calculate PDLD ratios empirically.
b) Briefly explain how this data should be segregated.
c) Briefly explain any organizational differences between premiums and losses.
Teng & Perkins
Part a: Booked premium development -Reported loss development
Part b: Data should be segregated into homogeneous groups by size of account and type of rating plan sold
Part c: Premiums and losses should be organized into twelve month intervals. In addition, premi- ums should lag losses by nine months to account for the time it takes to process and record adjusted premiums (losses at 30 months and premiums at 39 months, losses at 42 months and premiums at 51 months, etc.)
Explain why historical and formula PDLD ratios may diverge
Teng & Perkins
Worse (better) than expected loss experience may have caused a larger portion of the loss to be outside (inside) the boundaries of the retro maximum and the per accident limitation than the formula approach predicted. In addition, average retro parameters may be changing over time
Explain how negative PDLD ratios can occur.
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Upward development in high loss layers (resulting in no additional premium) and downward development in layers within loss limitations (resulting in return premium)
Identify three reasons why the current booked premiums may not equal the booked premium for the prior retro adjustment.
Teng & Perkins
- The timing of retro adjustments
- Minor premium adjustments
- Interim premium booking that occurs between the regularly scheduled retro adjustments
Fully describe why the PDLD method is preferable to using the chain-ladder method on historical premium triangles when determining the premium asset.
Teng & Perkins
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 nine months after the policy expiration, and it can be updated only annually thereafter. Using the 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. In addition, the premium asset estimate can be updated each quarter as new loss data becomes available
Briefly describe how premium responsiveness changes with the following:
- Maturity of the book
- Loss ratio
Teng & Perkins
- As a book of business matures, premium responsiveness on loss-sensitive contracts declines
- At higher loss ratios, premium responsiveness on loss-sensitive contracts declines
Describe two assumptions underlying the PDLD method.
Teng & Perkins
Assumption 1: The premium responsiveness during subsequent adjustments is independent of the premium responsiveness during preceding adjustments • The premium responsiveness is represented by the slope of the line segment in that adjustment period • Even if the slope of the line segment is different from what is expected, we do NOT change our expectations for the slope of the next line
Assumption 2: The slope of the line segment depends on the time period, not on the beginning loss ratio or the beginning retro premium ratio • Assumption relates to when we change from one line to another • For example, when moving from the first line segment to the second line segment, we change at the first retro adjustment (regardless of where the loss ratio ended up)