1. I believe the proof is quite messy - but intuitively if you only collect premium equal to the mean of the claims - then you've got a horizontal random walk and so eventually you WILL get a negative value.
2. You're just changing the units. So if \(X \sim Exp(\alpha)\) then using functions of a random variable from CT3 chapter 3, when \(Y=\alpha X\) we will have \(F_Y (y) = F_X(y/\alpha) = 1-e^{-y}\)
Last edited: Aug 11, 2017