Randolph Kinney
Elite Member
- Joined
- Apr 7, 2005
- Professional Status
- Retired Appraiser
- State
- North Carolina
I have to keep repeating, that what I am concerned with are the difficult appraisals.
But let's just suppose what I am really concerned with is perfection. Appraisal for the sake of appraisal. Appraisal like pure mathematics, without regard to sales. Just as a discipline in itself to work towards a future that doesn't exist yet.
The lenders are a different story. You all should know that. They don't want just the cheapest appraisal they can get that satisfies regulatory requirements. They want a rubber stamp that does that.
So, "pure appraisal" like "pure mathematics" is without concern for application in the real world, as in, making money by selling a service that someone wants.
But studying "pure appraisal" helps you develop a better understanding of the issues involved, rather than just pushing them to the side.
The lack of understanding keeps building up, the markets become more complex at an accelerated pace with the advance in technology. No one is doing much about this. The Tower of Babel eventually collapses on itself. What does that mean: An appraiser is brought into court or before some board or before executives or wherever to explain just how it was he came to his value conclusion. And "they" really want to understand the logic. He explains. They drill him on the where and why and In the end, all he can do is say, "based on my experience". The whatever board is not satisfied and they go out and try to find someone who can prove it's all BS, only they can't find anyone. Everyone goes home with "based on my experience" ringing in their ears.
"Meaningful" is an interesting term that is distinct from truthful, relevant, logical and supported. You need to consider all issues here. If your audience lack competence, you can probably deceive them into thinking your arguments are meaningful, even if they are built on sand.
We are not going to get at the truth here any time soon. Looks like a slow painful process.
Read that book: https://www-bcf.usc.edu/~gareth/ISL/ISLR Seventh Printing.pdf. Section 8.2.3 and 8.3.1 are interesting and have to do with building a regression model, getting the residuals and then analyzing the residuals further. This is the BEST book by far I have come across on modern statistics for appraisers. It gets into all the latest techniques used by companies like Salford Systems (Minitab), bagging, random forests, boosting, ..... If there is one book to try to understand, this is your best bet. AND it has a lot of R examples/scripts using the good old Boston Housing Data Set.
The paranoia about supporting adjustments is grossly overblown, IMO. Nobody is going to get yanked by a state board because they used $80/sf for the GLA adjustment vs $92.77/sf. In fact, when I review appraisal reports I don't even look at the charts and graphs and I don't fret the adjustments or how they were developed unless something looks obviously unreasonable or inconsistent. Most of the valuation occurs when the appraiser picks their comps, and what amounts to "most similar" can be readily measured on the objective basis. If there's a lie or a gross incompetency occurring in the analysis, that's where it's going to occur, not in the adjustments to those comparables. All the adjustments do after that is to refine the range of value indicators in which the appraiser was going to rank the subject. Buyers and sellers do their thing without using any adjustments, and they literally bet the farm when they act on those decisions.
If you started out with an unadjusted range with a 22% spread and you ended up with an adjusted range under 10% that fits within the original unadjusted range then I genuinely don't care how you did it. Do. Not. Care. I'm looking for the reasonable result within the context of the intended use, not someone's unarticulated vision of the perfect result. That's because the appraisal standard a reviewer is supposed to be operating on is *reasonable*, not perfect.
And that includes the state boards. If the typical buyers and sellers in a market segment are operating on the qualitative-only basis (and almost all of them do in the SFR markets), then there is no logic involved to argue that approach as being an unreasonable or not accepted appraisal technique when an appraiser does it with a less-than-optimally adjusted set of value indicators in a Sales Comparison.
IRL, none of the valuation models I mentioned: all-qualitative, the legacy "adjustment list", sensitivity analysis, RA or hueretics or Johnny Mnemonic - no valuation model will work unless the appraiser actually works them. THAT'S the problem that the lenders have been complaining about - appraisers putting zero thought or effort into what they're doing. The quants and the Ivy League B-school grads have stepped in and sold the residential lenders on the idea that the EASY button widget is the only solution when the widget was never the only solution, and sometimes isn't even a functionally viable solution.
Now as to your other point - sure, progress is good and somebody has to work toward that in order for it to happen. But as an appraiser, the applications I use work for me - I do not work for them. Meaning, I'll let the people who enjoy being the early adopters struggle with the various processes to see which will and won't get adopted by the users before I invest any of my own time in learning them.
I think this book is THE book for appraisers.
What I have seen from George Dell and others is mostly simple linear or possibly curvilinear regression - the sort of the thing that may be useful for describing trends in pricing, but doesn't work very well in the SF Bay Area for extracting good adjustments with high R2 values.
How similar is the Bay Area to the rest of the US? You have a method for the Bay Area which isn't needed in the vast majority of areas across the US.