Housing Valuation Cross-Check
Test housing claims against income, rent, financing, and cycle history
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 6
- Confidence
- 90%
McBride's pre-crisis housing analysis combined several checks rather than trusting rising prices or industry reassurance. He compared home prices with median income, compared renting with owning, examined the mortgage terms that made otherwise unaffordable purchases appear possible, and looked back at earlier regional downturns. The mechanism is triangulation: if prices detach from incomes and rents while buyers depend on little money down or temporary teaser rates, the market is vulnerable to payment resets and a shortage of future buyers. Historical cycles rebut the claim that national or local housing prices cannot fall. Seasonal discipline matters too; a stronger spring or summer month should be compared with the same period a year earlier rather than with a naturally weaker winter month. The result is a grounded affordability and fragility assessment, not a price forecast based on one series.
Origin
McBride started Calculated Risk after seeing extreme Southern California prices and investigating how a modestly paid buyer had financed a costly condo with a teaser-rate mortgage.
Core principles
- 01A price claim needs comparison with household fundamentals.
- 02Financing terms can conceal unaffordable purchase prices.
- 03Renting provides an alternative cost benchmark for owning.
- 04Long historical evidence is stronger than claims that prices never fall.
- 05Seasonal data should be compared on a like-for-like basis.
How to run it
- 1
Anchor prices to income
Compare prevailing home prices with median household income and with the market's longer-run relationship. Treat a sharp break from that relationship as a prompt for deeper investigation.
Pro tip Use local income and price data because affordability can differ materially by region.
Watch out A ratio identifies strain, not the exact date of a reversal.
- 2
Compare renting and owning
Estimate the recurring cost of owning and compare it with renting a similar property. Include financing and other material ownership costs rather than comparing rent with the mortgage payment alone.
Pro tip Check whether the ownership case still works without assuming rapid price appreciation.
Watch out Ignoring the available rental alternative can make an expensive purchase appear normal.
- 3
Inspect the financing
Review down payments, income verification, initial rates, and future payment resets. Ask what enables the buyer to qualify and what must happen for the loan to remain affordable.
Pro tip Follow the payment after a teaser period instead of stopping at the introductory rate.
Watch out A loan that depends on refinancing or resale transfers market risk directly to the borrower.
- 4
Check the historical record
Look for prior price declines in the same region and in comparable markets. Use that evidence to test claims that housing prices cannot fall.
Pro tip Include older cycles even when today's data series were not available in real time.
Watch out A short national series can hide severe regional downturns.
- 5
Normalize the comparison
Account for seasonality and revisions before calling a turn. Compare like periods, especially year over year, and use multiple months when one observation is unusually large.
Pro tip Plot the series so recurring seasonal shapes and outliers are visible.
Watch out Comparing a strong summer month with a weak winter month can create a false recovery signal.
- 6
Form the fragility judgment
Combine valuation, rent, financing, history, and normalized trend evidence. State which assumptions must continue for current prices to remain sustainable.
Pro tip Give more weight to several independent warnings than to a confident industry forecast.
Watch out Do not convert a vulnerability assessment into false precision about timing.
In the wild
A secretary earning roughly forty thousand dollars bought a condo for more than four hundred thousand dollars with little money down and a teaser rate. When McBride asked what would happen after the introductory period, she expected either higher income or a sale. He reasoned that if the same structure was widespread, future buyers would eventually disappear.
→ The financing details turned an isolated affordability puzzle into evidence of systemic housing risk.
A housing report treated stronger June activity than February as evidence that the market was improving. Ritholtz used McBride's year-over-year existing-home-sales chart to show the regular rise from winter into the selling season.
→ A like-for-like annual comparison prevented normal seasonality from being mistaken for a market turn.
Common mistakes
Assuming prices only rise
McBride points to repeated historical declines, including the Great Depression and regional housing cycles.
Treating the teaser rate as permanent
The introductory payment can conceal whether the borrower can afford the reset payment.
Comparing unlike months
Month-to-month changes can reflect the housing calendar rather than an underlying improvement or deterioration.
Is it for you?
Best for
It is best for evaluating housing-market claims, purchase affordability, and the buildup of mortgage risk.
Not ideal for
It is not a property-level appraisal and cannot replace inspection of a specific borrower's finances or a home's condition.
From the transcript
“this ratio which has been consistent home price to meeting income, the cost of renting versus cost of owning.”
“You have to look at it year over year.”
“I never understood why people say real estate prices I never go down. I never understood it because there's there's plenty of evidence.”
From the episode
Interview With Bill McBride: Masters in Business (Audio)