7 Comments
 

This is always a tough one. To me, there is the endless argument of modelling what you think will actually happen, and modeling what a buyer will model. I can't tell you how many times I've done in-depth market analysis to arrive at yearly opex inflation, ultimately for a buyer to just slap 3% over 10 years and arrive at a price accordingly.

One method that I am eagerly looking into is MonteCristo simulations for Opex inflation (or any other inflation number, terminal cap rates, cap rate appreciation, etc). I know this doesn't answer your question specifically, but I suppose my stance is that other than using 3% regression to the mean number for a 10 year DCF, the only quantitatively realistic measure would be a MC model...

 

http://ardent.mit.edu/real_options/Real_opts_papers/Leung_thesis.pdf

If you're ever bored and are intrigued by MC in real estate...

Simply, I think there are way too many variables to accurately hone in on an OpEx inflation number...or any input for that matter (GPR inflation, terminal cap rates, cap rate growth on a 10 yr DCF to arrive at a terminal cap, etc). Therefore, MC simulations attempt to run thousands of iterations within a certain "parameter" you set to arrive at a result.

I wont go into the detail here, but google it and you might be interested in it. I do think it has real applications especially on a 10 yr DCF model.

NOW, where the real issue lies in my opinion, is what will a buyer model out?. On the acquisitions side, sure these fine tune models can add applicable value to prevent the firm from over-paying. But when you are running a valuation/disposition analysis, you need to employ the metrics that the market/buyer will use. In this case, almost always you'll see a 3% across the board inflation on revenue and expenses...regardless of market or timing. Due to difficultly of modelling 10 yrs of assumptions, on any short-lease type of asset (such as MF, storage, etc), the industry norm is to take a F12 NOI and cap it. Determining market data metrics is much more realistic on a 0-1 yr window...

Hope this helps...

 

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