• We are pleased to announce that the winner of our Feedback Prize Draw for the Winter 2024-25 session and winning £150 of gift vouchers is Zhao Liang Tay. Congratulations to Zhao Liang. If you fancy winning £150 worth of gift vouchers (from a major UK store) for the Summer 2025 exam sitting for just a few minutes of your time throughout the session, please see our website at https://www.acted.co.uk/further-info.html?pat=feedback#feedback-prize for more information on how you can make sure your name is included in the draw at the end of the session.
  • Please be advised that the SP1, SP5 and SP7 X1 deadline is the 14th July and not the 17th June as first stated. Please accept out apologies for any confusion caused.

Inflating the threshold in RI pricing

O

Oleksii Kovalchuk

Member
Hello,

on page 22-23 of Chapter 20 the problem of missing claims for earlier years in case of constant reporting threshold is discussed. I seem to grasp the issue, but I am not sure to understand the remedy from Core Reading. It is said that:

"to overcome this, the reinsurer will need to restate the threshold for all but the most recent years in the data. Using the same claims inflation rates as were used to trend the losses, the reinsurer will also inflate the threshold year by year, so that its real value is preserved and any untended losses that never exceeded the inflated threshold for the appropriate year are discarded."

If we restate threshold for past years to express it in real terms and then compare it to untended losses, should we not "deflate" it rather than inflate? And even if that what is actually meant, how would it solve the issue if losses that would have been above such threshold are still missing from data? Or here we mean some other threshold, e.g. retention level rather than reporting threshold?

I feel I am missing some basic point but cannot get what...
 
Don't worry, your understanding is fine. The Core Reading is a bit confusing because it's talking about inflating the threshold forwards (ie after you've deflated it back to the oldest year). As long as you realise that you use a lower threshold the further you go back in time, in order to get a true representation of the number of losses likely to hit the layer, you've understood the issue.
 
Back
Top