This was my approach for this problem:
1. Explain Risk Metrics
2. Based on the paper by David Ingram, there is a direct correlation between VaR and CTE for normally distributed gains/losses
3. Prove that VaR and CTE is correlated by plotting PVP/P at various price points...hence Normally Distributed
4. Therefore, you can use CTE and VaR interchangeably
5. Another way of looking at CTE is by dividing simulation into 2 groups: Group A and Group B (Group A is the worst case scenarios, the outlier group where you lose $, and Group B is where you make $)
6. Therefore you want expected value of Group A to equal 0 (CTE (X) = 0)
7. But we don't just want to make money, we want to ensure that our best case scenarios make us at least 10% in profit (PVP/R)
8. Another way of looking at this is my asking, at which point will every point in our best case scenario group make 10% or more? At VaR(X) = 0.1 obviously!
9. And since CTE and VaR are related, you know you'll be killing 2 birds with 1 stone (having sure that CTE(x) >0 and VaR(x) =0.1), so you'll always be making your goal and making a profit, if you land in Group B
10. Now which percentile do you pick? Well if you want to be super conservative, you'd go with the 95th percentile. You're 19 times more likely to be in Group B than Group A...that's a lot of padding room that will cost you in price and competitiveness.
11. How about picking the 90th percentile where you're winning 9/10 but you'll have a strong case at staying competitive and have management happy?
12. I think we've got a winner