All else equal, which property is most likely to fit a residential sales-based AVM whose validated coverage is recent, similar tract-home transactions?
Correct Answer
D) A tract home in an active, homogeneous subdivision
The active homogeneous tract-home setting is most consistent with the stated model’s validated population and data coverage. The other settings involve sparse evidence, atypical properties or changing use, which can weaken applicability. This is a relative suitability judgment, not a guarantee: verify the model’s actual coverage, inputs, accuracy and limitations for the subject before relying on its output.
Why This Is the Correct Answer
Option D is correct because a tract home in an active, homogeneous subdivision is most consistent with the model's validated population of recent, similar tract-home transactions. Plentiful, similar sales give the model the data it was built and tested on. This is a relative suitability judgment, so the model's actual coverage, inputs, accuracy and limitations still must be verified for the subject.
Why the Other Options Are Wrong
Option A: A unique property with no close analogues nearby
Option A is wrong because a unique property with no close analogues nearby lies outside a model validated on similar tract-home sales. The model has little comparable evidence to draw on for it.
Option B: A rural parcel with three sales in five years
Option B is wrong because a rural parcel with three sales in five years offers sparse, dated evidence, unlike the recent tract-home transactions the model was validated on.
Option C: A property whose highest and best use is changing
Option C is wrong because a property whose highest and best use is changing is atypical for a model built on existing tract-home sales. Past sales of homes in current use may not reflect the property's emerging use.
Models love lookalikes
An AVM works best on properties that look like the many recent sales it was trained on. Unique, rural or changing-use properties strain it.
How to use: Use this when a question asks which property best fits an automated valuation model.
Exam Tip
Choose the property with the most data and the most homogeneity. Uniqueness, sparse sales and changing use reduce model suitability.
Common Mistakes to Avoid
- -Assuming an AVM is equally reliable for every property type
- -Treating a good fit as a guarantee of accuracy
- -Ignoring changing highest and best use when judging model suitability
Concept Deep Dive
Analysis
This question tests whether a property falls within an AVM's validated coverage. A sales-based model validated on recent, similar tract-home transactions fits best where the subject resembles that population and data are plentiful. The judgment is relative, and actual coverage and accuracy still must be checked.
Background Knowledge
AVMs perform best where data are plentiful and properties are similar, because the model can estimate relationships from many comparable transactions. Institutions are expected to maintain performance criteria for accuracy and reliability in a given transaction, lending activity and geographic location.
Real-World Application
A lender's AVM returns high confidence scores for homes in a large suburban tract but low scores for a custom lakefront home nearby. The lender orders an appraisal for the lakefront home because it falls outside the model's reliable coverage.
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