Spring 2015 Q5b
Could you provide an explanation of how to solve this problem? The examiners' report first solution makes absolutely no sense to me. I was able to figure out what was done in the 2nd solution, but I honestly don't think it would have occurred to me to take that approach.
Comments
Am I looking at the right problem? Spring 2015 Q1 doesn't seem to have a part (b). This exam problem is outdated so you don't have to know how to do it. It was from a reading that is no longer on the syllabus. You can find outdated exam questions using this filter from the website:
To get to that page from the main page, use the the link "BattleCards - Prior Exams" under "Custom Battles".
Sorry, Spring 15 #5b
Sample answer 1 is more methodical. They do the calculations in 2 separate steps. Here's sample answer 1 for reference, with my explanation below:
Step 1: Calculate an area-based weighted average for each quarter in the "normal" way (first 4 lines of solution)
Step 2:
Conclusion:
Hello!
In this parallelogram example, we assume each quarter's area is 1 to get the weights for each quarter above and below the red line. In chapter 6, when we talk about adjusting historical loss data to current loss level, you attached an example from the werner book, where they use an example of a law change and they split the CY into quarters.
In their solution, they took the area of the quarter to be at 0.25 instead of 1. I understand that the parallelogram is just for the premium and we aren't doing the same thing for the losses but it is similar... I don't really understand why one uses the area of 1 and the other uses the area of 0.25.
Or is it the same things because later on in the loss example, they divide back by 0.25, essentially its the same thing? I find it a bit confusing.
Here is a screenshot of the loss example
If I understand your question correctly, it shouldn't matter what we let the areas be as long as they are all correct relative to each other.
They are dividing by 0.25 as you highlighted because the total area is 0.25 and the values in parentheses (0.2422/0.2500) and (0.0078/0.2500) are the weights for calculating the ARL (Average Rate Level) for 2010 Q3. (The weights for any weighted average must add up to 1.0.)