Thursday, I will be in Paris, to discuss the results we got from the pricing game. I will present 12 ou 13 models sent to me, an discuss what happened when I created a market, where the models were competing. One or two models were clearly underestimating the losses, so with the results as they were send, each time, one company goy 80% market share and over 250% loss ratio. So I decided to normalize all the premiums, so that the average premium was the same, for all the companies. Slides are now available.
OpenEdition suggests that you cite this post as follows:
Arthur Charpentier (November 2, 2015). Pricing Game, the results. Freakonometrics. Retrieved December 3, 2024 from https://doi.org/10.58079/ov10
Hi Arthur,
I am unable to follow the slides. Is it possible to share the codes written in R , SAS or VBA and the assumptions made for the sake of reproducibility?.
Merci.
no I can’t, there is still some research going on on those data
those are the slides of the one-hour talk, a lot of (additional) information will be given during this hour
Hello Arthur,
I will not be able to be present at the presentation in Paris.
I submitted a model and would like to know how it performed.
Could you let me know which model (A3, A4, …, A5?) corresponding to the letter F in slide 19?
Independently from market competition, it would be interesting to see how the models perform in predicting the loss per insuree.
As I understand from the conclusion, it seems that this criteria is not as relevant under competitive conditions.
Thanks,
I will send an email to everyone (individually) to let them know which one is their model.
So see how those model performed, it should be on slide 16: there is an animated graph, where you can click to see how each model did perform, on a Lorenz curve (or lift curve, I don’t know how to call it). Most of them performed similarly…
Very clear. Thanks