Exercise
An insurer uses classification ratemaking to set rates and uses a single rating variable to classify policies with three different levels: level I, level II and level III. The pure premium for each level is assumed to be gamma distributed with unknown parameters [math]\theta [/math] and [math]\alpha [/math] that change across levels. More precisely, we have the following:
Level | [math]\alpha [/math] | [math]\theta [/math] | Exposure weight |
---|---|---|---|
I | 2 | 500 | 50% |
II | 3 | 450 | 25% |
III | 3 | 475 | 25% |
Marketing wants level II rates to be 10% higher than level 1 rates and level III rates 15% higher than level I rates. If the insurer targets an expected profit percentage of 15% and there are no fixed or variable expenses, determine the rate per exposure unit for level II policies.
- 1,379.92
- 1,450.56
- 1,457.25
- 1,516.49
- 1,578.22
We define the following variables:
- [math]R_{i,I} [/math] equals the expected loss per exposure unit for level [math]i [/math] divided by the expected loss per exposure unit for level I.
- [math]R_{i,T} [/math] equals the targeted ratio of the rate for level [math]i[/math] over the rate for level I.
- [math]\mu [/math] equals the expected loss per exposure unit for level I.
- [math]B[/math] equals the rate per exposure unit for level I.
- [math]w_i [/math] denotes the exposure weight for level [math]i[/math].
Given the definitions above, the exposure weighted expected pure premium equals
, the exposure weighted rate per exposure unit equals
and the expected loss ratio equals
Using the values given in the question, we have
Level i | [math]R_{i,I} [/math] |
---|---|
I | 1 |
II | 1.35 |
III | 1.425 |
, [math]\sum_{i}w_i R_{i,I} = 1.19375[/math] and [math] \sum_{i}w_i R_{i,T} = 1.065[/math]. In particular, the expected loss ratio equals 1,120.89 divided by [math]B[/math]. Since the target expected loss ratio is 0.85, the rates per exposure unit are as follows: $1,318.69 for base level I, $1,450.56 for level II and $1,516.49 for level III.