Some standard verbiage: P
re written notes: Historical days on market figures are taken from sold examples only. No withdrawn or ghost type listings were researched. / The appraiser did not use the automatically supplied MLS MC data figures. Those figures have unaffixed data points, where the active figure is not related to the sold figures. Rather; I've manually assembled the MC, to trend data list vs sales data for only successfully sold units in that time period, and not to consider what was coincidentally still left on market unsold at that time. The presented MC above was a manual workup, to express fixed data points for list vs sale, for what the homes successfully sold for. / Specific MC notes:
And you can punch in a manual median work up very easily at this site:
https://www.easycalculation.com/statistics/mean-median-mode.php
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You've got to understand that automatic review functions have officially taken over the industry, with the advent of xml mandatory mismo or whatever it's called. At one time there was a great debate about data use and proprietary data for appraisals. Appraisers used to lock pdf reports and deal with clients who raged because they could not unlock the reports and change data, etc, etc. Now apparently it's o.k. for clients to have supreme access and data control over appraisers reports with xml. We even sign an agreement with every xml creation that 'plain text' can easily be altered. So much heat on this issue, even our software providers put a disclaimer to protect themselves, regarding all the bad things that can happen to appraisers. Appraisers; the end of the line, the last stop, the low man on the totem pole.
The above grid, MC, and 1 unit trends are easy data match ups. If they don't match, the warning is automatically generated. That's how it works, it's that simple.
So you also include a data addenda, and copy paste several one line of data into those reports. MLS#, date, price, status, year built, agla, bas GLA, beds, bath, parking.
I include my 'final data set used for 1 unit trends, above grid figures, and mc results', which is usually a highly filtered data set which expresses the high and low ranges of similarly categorized properties in that defined research area, for the past year.
Also I'll include a totally unfiltered data set in addenda, although with automatic review, I no longer inter mingle that data within form filling points.
I never remove outliers, but rather explain them away as irrelevant or potential points if subject was worse/better, etc, etc.
Usually including 4 data sets or more if possible, which is easy to copy paste into supplemental addenda multi page under AI ready forms, which acts like a WORD document within your appraisal. It's just a blank white page. Try to include one line pastes of your final filtered 1 yr, final filtered w/ 3 year, unfiltered 1 & 3 year, and possibly other 'alternative approaches' to data, if you had to use subjective searches like size vs style, or there was no clear matches, etc, etc.
Thankfully, the auto reviewers stopped trying to match a time adjustment against MC trends. What a joke that was, and it could never work. I'm always saying MC was really not very informative for this specific assignment. Even if the MC points one way or another, I'll use my professional opinion for MC box form filling. Make sure your mc form filling boxes line up with the 1 unit trends boxes, because that can be an automatic coorelation point as well. Thankfully the software is not sophisticated enough to match numbers and boxes, or the MC would absolutely not work and would bring a never ending string of correction requests as if the MC was god, and we had to check the boxes via the coincidental median indicators. And believe that, the medians are pure coincidence and a slight alteration in data research can bring forth entirely opposite MC trending results. Look at that while you're researching so you can hopefully put forth a congruent data presentation.
Nobody has dared answer the question if the percentage product of list vs sale should be a direct product of the two figures presented. It would make sense that you divide the list and sale figures to get a straight up percentage indicator. Not according to Corelogic MLS Matrix systems though. They put forth auto mc figures where the percentage indicator is not a direct product of the list vs sale figures. So essentially it's unprovable data and any appraiser using those pre supplied mc's where the percentage is not a direct product of the list and sale figures, is presenting data they cannot prove. So I print out the long form detail for MC and use a quickie pen deal where I put stars, circles, or squares with numbers, and manually calculate the dom, list, & sale, for each category, and manually fill the MC form. Takes 10 minutes with the website posted above. I'd rather go manual, than trust the computer to tell me about trending. Considering what was coincidentally left on market is a truly awful approach, but one which the big corporations like, because it routinely indicates more market strength than was was really present. Including the unsuccessful sales from that category is pure trickery! Unsuccessful and withdrawn listings have no place in trending analysis for successfully sold properties.
Total # of Comparable Active Listings
Months of Housing Supply (Total Listings/Ab.Rate)
4-6 & 7-12 = Not Researched
Not Researched
Not Researched
Not Researched