Is the sale price the best indicator of value for appraisers?

A recent study[1] includes a graph which shows that some 90% of appraisals hit the sale price exactly, or were higher, while only some 10% were below the sale price (when the sale price is known).

Is this a bias on the part of appraisers, or is the bias the cause of the system?  What could possibly cause this strong upside skew?

First, ignore the ongoing pressures from the entire ‘loan industry’ to make the loan, make the commission, make the quota, make the bonus, and look successful.  Ignore the claimed purpose of the public trust (of our quasi-governmental standards and licensing quagmire).

The goal of protecting the public trust failed, and will fail again— this time with different excuses and blaming— but it will fail again.

Let’s look at some underlying economic truths and social/governmental policy.  What economics and public policies come into play here?  Three come to mind immediately:

  1. The fallacy of a supply/demand equilibrium point as the ‘true’ market price;
  2. The nature of actual sale prices to the “true” market price; and,
  3. The basic need for housing as a human need.

The market value fallacy

Market value (as a misnamed market price or value-in-exchange) does not exist!  When you have 3 or 4 buyers looking at 6 or 7 available unique properties, this is not equilibrium supply/demand economics.  This is called game theory.  This is a ‘negotiated’ value.

Book cover: Theory of Games and Economic Behavior, 60th Anniversary Edition

The book, Theory of Games and Economic Behavior was published in 1944 by mathematician John von Neumann and economist Oskar Morgenstern.  It was a text for classes I took in the 1960’s, and again in graduate-level classes in the 1980’s and 1990’s.  This is core material for econometric analyses— as a fundamental model for nearly all asset assessment and risk management. Yet, game theory is still unheard of in the valuation body of knowledge.

Equilibrium points rarely exist in game theory.  Richard Ratcliffe, MAI originally termed the result a “transaction zone” wherein equilibrium economics departs, and game theory is the model to be applied.  Equilibrium point values rarely exist in residential/amenity ‘markets’.  But equilibriums do exist in some income property market sets (which have large sample sizes).

Sale price reality

The actual contract sale price itself has two considerations, (relative to a ‘true’ market value):

  1. Is it the ‘cash’ equivalent?  (This means equal property rights, adaptation, market level (definition), money measure, financing, motivations, and externals, among other things).
  2. What is the distribution of likely sale prices, given motives which fall within the range of ‘mutually competitive’?

Within the transaction zone, an equilibrium (most probable price) may or may not exist.  Which is what game theory says.  For the most part, any sale price within the range is just as valid as any other.  The point is that in this context, when an appraiser gives an opinion, there is no real reason why the sale price should not be selected.  In fact, it appears to be the most certain of alternative ‘values.’

The need for housing

When appraisers do not have the sale price as ‘loan information,’ the value opinions are quite normally (bell shaped) distributed.

Here’s the issue.  If appraisers could somehow be isolated from the sale price information, about half the appraised opinions would be below the sale price.  This would imply that lenders, including Fannie Mae and the other GSEs would have to decline to loan on some 50% of all proposed home purchases!

Similarly, the use of AVMs (Automated Valuation Models) will also require the decline of half the possible sales.  The difference between AVM results and appraiser opinions becomes moot.  Any accommodation of “below price” valuations has to be done in an underwriting or risk algorithm, not by manipulating the type of valuation.

Reality:  one optimal conclusion

My underlying motive is to emphasize that if lenders, reinsurers, risk managers, and regulators truly desire to measure risk of all types— the current market price is not best predicted by algorithms alone (such as in an AVM).  Also, the market price is not best served by a personal (“professional”) opinion.  Neither method alone is worthy of argument.  The bottom line: there is only one clear choice for the consumer, the taxpayer, regulators, bank chief appraisers, and risk managers.  We have one clear plan for loan industry efficiency and long-term profitability.

The one clear choice is the process integration of market-analytic professionals, armed with appropriate computation tools, and delivery by data-stream visualization.  No more and no less.

To serve the public trust.  To serve the social requirement of housing for our citizens.  We must optimize the blend of competent analysts and simple data science principles.  We must.


 

[1] See Working Paper No. 17-23, Appraising Home Purchase Appraisals, by Paul S. Calem, Laurie Lambie-Hanson, and Leonard Nakamura, July, 2017.  [As referenced in commercial product paper Appraisal Accuracy and Confidence Scoring, Dr. Michael Sklarz and Dr. Norman Miller, Oct 30, 2017]