- Joined
- Jan 15, 2002
- Professional Status
- Certified General Appraiser
- State
- California
Smiley was making the point - with which I agree - that looking at the monthlies is too specific because of a couple different variables being in play. The datasets are relatively smaller, they're more subject to differences in unit mix and volatility.IMO the 1004 implies a one-year market conditions history analysis and the boxes in the neighborhood section should match. Just explain what happened over the past year in detail and include the current trends in your commentary.
If prices increased and then cooled, I mark stable. It might be just the winter trends.
If prices increased and then crashed, I mark decreasing. The data is obviously different than a seasonal slump.
if prices are still increasing, I say so. Rare, but it's still happening in a few neighborhoods here.
My commentary is usually something like: "Prices increased tremendously in 2021 and Q1-Q3 2022 as a result of the covid pandemic and lowered interest rates. Recently interest rates have increased dramatically and prices are cooling. Days on market and supply are increasing, but it is still very much a seller's market."
But by the time you get to looking at these datasets by quarter or semi-annually and you go back a couple years then any changes that result cannot be attributed to volatility. The pricing really is changing. Or not changing, as the case may be.
When I went after these markets in my region on the monthly basis that was not for something I would do in an appraisal report. I did it for 2022 specifically to see when/where the market went from increasing to decreasing. IMO that analysis has no utility other than that. Quarterlies and semi-annual make a lot more sense and will be more persuasive. I would say the same for months of supply and DOM analyses, too. One month can and sometimes does produce a fluke or outlier. Aggregating for 3 months or 6 months, not a fluke or outlier.