Basic topics of reinsurance accounting
I have a question at this paper, the reinsurance function, stabilize the loss experience, at the numeric example, the unearned premium is not ceded; but the summary part, page 9, it says Unearned premium reduced ( unless ...). I don't understand well here what does it mean UNLESS condition?
this impact my understanding for exam 2017 fall Q17, which only Unearned premium is not ceded as well?
I am wondering any situation Unearned premium should be ceded under stabilize loss experience?
Comments
This is what normally happens regarding unearned premium:
If the reinsurance contract were written on July 1 and effective for 1 year, some of the gross unearned premium on Dec 31 would be related to the reinsurance contract, and would be ceded to the reinsurer
But for the example in the text, and the exam problem 2017.Fall Q17, the reinsurance effective date is Jan 1, which means the reinsurance expires on Dec 31. Therefore there is no unearned premium at the end of the year that is related to the reinsurance contract. In other words the ceded unearned premium at Dec 31 is 0.
So, the UNLESS condition is satisfied for both the example and the exam problem:
When these 3 conditions are met, do not reduced the unearned premium.
There was something I read in the articles, can't seem to find it. But it was reinsurance related.
Why is it better to study losses GROSS for reinsurance. Something along the lines of... if it was just the ceded losses, you might end up with a low loss value of even zero, because it may get masked.
I am trying to remember what the context was and which chapter it was in.
I would like to precede my answer by saying that BK.Reins (Blanchard and Klann) is no longer included in the syllabus.
Looking at gross losses, which are the amounts before any reinsurance is applied, gives a much clearer view of the actual risk. If you only look at ceded losses, you might miss important information.
For example, if a loss falls below the reinsurance attachment point, it will not show up in the ceded data. That can make it seem like there were no losses when in reality there were. Studying gross losses helps you understand the full range and frequency of losses, which is important when evaluating or structuring reinsurance.