Thinking about how to get a mathematically justified solution, I run into a real big problem: having to make some sort of projection of a future interest rate environment on top of everything else.
I get there by first assuming that, using market-traded derivative prices, you can derive a risk neutral future distribution for the stock price.
Good start, right?
Then you want to come up with conditional future values for the EBITDA, in the notion that somehow the risk neutral future stock price distribution can fairly simply be split up along those conditional probability lines, integrate, and call it a day.
HOWEVER, the relationship between EBITDA and stock price is almost of necessity very strongly dependent upon the interest rate environment. So stock price $100 with EBITDA $5 is very different from stock price $100 with EBITDA $10.
The risk neutral future distribution of stock price on its own essentially reflects a weighted average of different interest rate environments given a future stock price ... and joint probabilities with EBITDA suggest a need to unscramble those eggs.
So you effectively want a joint risk neutral probability distribution. Which I guess is kind of where things were left off a couple steps ago in my thinking.
But the risk neutral probability distribution of future stock price is already effectively a joint probability distribution: "What is the weighted average value today of $1 payable at time T given that the stock price at time T is X?"
This becomes, "What is the weighted average value today of $1 payable at time T given that the stock price at time T is X and the EBITDA at time T is Y?"
And I think, within the conditional distribution given that the stock price is X, you get wildly different values depending upon whether the ratio of stock price to EBITDA is 20 rather than 10.
Hope that helps!
