“I never make adjustments,” said the MAI who first trained me.  He was a top litigation appraiser.  He explained that if he made an adjustment he had no way to explain how he got the number when cross-examined by the opposing attorney.  Instead, he used what is called ‘qualitative analysis.’

The Appraisal of Real Estate (Appraisal Institute, 14th ed.) says:  “Qualitative analysis techniques may also be applied for elements of comparison for which quantitative adjustments cannot be developed.”  Hmmm.  So sometimes a number adjustment can not be developed.  Wow!

It goes on to say (comparing the three approaches), that there is a gradation of intensity of adjustments:  ranging from “no adjustments” to the method of highest intensity:  “adjustments via paired sales analysis.”  (ARE, 15th ed., p.78).

USPAP says

[ The word “adjustment” is not found in the Appraisal Foundation standards. ]

However, AF Advisory Opinions state that any adjustments made should be “appropriate.”  Of course.

A dictionary definition of “adjust” is:  “alter or move (something) slightly in order to achieve the desired fit, appearance, or result.”

The dictionary definition seems to fit the basic premise of legacy practice:  “make an adjustment, then find a way to support it.”

Evidence Based Valuation (EBV)© SAYS:  All adjustments are uncertain.  There are four types:

  1. Mathematically calculated adjustments, such as for market conditions (time). These have variation on exact numbers, but are highly reliable, given data set variation.  (The selection is critical.)
  2. Probabilistically estimated adjustments, where each data point has variation. These provide no definite result, but may provide a range (or distribution) of likely value.  (The selection is critical.)
  3. Probabilistically biased results, where some bias is expected, but the direction of the bias may itself be estimated. The result may be useful, even though biased.
  4. Fully uncertain Uncertain uncertainty.  These occur where there is no helpful data.  Such an adjustment relies on the knowledge and judgment of the expert – the appraiser.

Note that no adjustment is exact.  What matters is —  how sure, and how true, is the result.

It’s a fiction that adjustments can be exactly extracted “from the market.”

EBV is Data Science for asset assay.  Data Science explicitly recognizes the need for the subject-matter expert.  Valuation by a competent appraiser.

EBV applies the complete Competitive Market Segment (CMS©) data, as available.  The high reliability of time adjustments (as above) expands the availability and the usefulness of prior data.  This, in turn, makes other adjustments more reliable.

Where data is truly sparse, the reasoning process of EBV and price indexing often saves the day.

In applying EBV process, we have found that adjustments are almost unnecessary!  Some adjustments, such as for location and transaction elements (such as financing and concessions) are appropriate.

But we find that some other elements are “personal preference” based.  These are highly uncertain, and best presented with qualitative vision, rather than through fictional quantitative exactness.

Go to valuemetrics.info now, to prepare for today’s future.

WE MEASURE MARKETS, NOT COMPARE COMPS.