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Housing Bubble

A housing bubble is a period in which home prices rise well beyond what local incomes, rents and building costs would justify, sustained largely by the expectation that they will keep rising. The term is applied after the fact, and the closest thing to a formal test, published by a Federal Reserve Bank, deliberately avoids calling its findings bubbles.

Last reviewed by Steven Fox, CFP®, EA on

Quick Summary

  • The defining feature is a gap between prices and the things that pay for housing, which are incomes and rents, held open by the expectation of further increases rather than by those fundamentals.
  • The Federal Reserve Bank of Dallas publishes quarterly "exuberance indicators" that test whether real house prices, or price-to-income ratios, show explosive behavior. It calls the result exuberance and describes it as a signal of emerging misalignments, not as proof of a bubble.
  • Housing carries leverage that equities usually do not, so a price fall of a given size wipes out a far larger share of the buyer's own money.
  • Over the twentieth century United States home prices rose about 3.34 percent a year in nominal terms and about 0.22 percent a year after inflation, so most of the familiar long-run figure is inflation.
  • Real national prices fell about 35.7 percent from their December 2005 peak to their February 2012 trough, and took years to get there. The decline was slow rather than sudden.

Definition

A housing bubble is a sustained rise in home prices that outruns the fundamentals supporting them, principally local incomes, the rents the same properties command, and the cost of building new supply, and that is held up by the widely shared expectation of further increases. When that expectation weakens, the gap closes from the price side, because incomes and rents move too slowly to close it from below.

There is no test that identifies one while it is happening. The label is applied with hindsight, which is why the more useful question is not whether a market is in a bubble but how far prices have moved away from what pays for them, and what would have to be true for that distance to be justified.

Advanced Explanation

A Federal Reserve Bank built the closest thing to a bubble detector, and what it chose to call it is the most instructive fact on this page. The Globalization Institute of the Federal Reserve Bank of Dallas publishes quarterly exuberance indicators alongside its International House Price Database, computed with recursive right-tailed unit root tests developed by Peter C. B. Phillips and co-authors and known as SADF and GSADF. In the Dallas Fed's own words the statistics "detect and date periods of exuberance during which house prices (or conventional house price-to-fundamentals ratios) display explosive behavior", and such behavior "may occur when house prices are not based on housing market fundamentals, so these indicators provide a useful signal of emerging misalignments." Read that carefully. It says may, it says signal, and it says misalignment. An institution with the data, the statisticians and the mandate declined to say bubble, and a reader meeting the word in a headline is entitled to ask what test produced it.

What the indicators actually test is the relationship, not the level. The published series covers real house prices and the ratio of real house prices to real personal disposable income. Neither a high price nor a fast rise is by itself the signal; the signal is a price series behaving explosively relative to what households earn. That framing is the useful transfer to any individual market: the question worth asking is not "are prices high" but "high compared with what, and is that comparison getting worse."

Leverage is what makes a housing decline behave differently from an equity decline of the same size. Most homes are bought with a mortgage, so a buyer's own money is a fraction of the purchase price and a percentage fall in the property consumes a multiple of that fraction. A 20 percent fall on a home bought with 10 percent down removes the entire down payment twice over and leaves the owner owing more than the property is worth. Nothing about the owner's conduct is involved, and the practical consequences of that position, which are the loss of the ability to sell, refinance or move, are the subject of the negative equity page.

Three further features slow a housing decline down and stretch it out. Selling a home is expensive and takes months, so supply does not arrive at the market quickly when sentiment turns. Owners are reluctant to accept a price below what they paid and will often withdraw a listing rather than take it, which suppresses recorded sales before it suppresses recorded prices. And a home is also somewhere to live, so most owners simply stay, which is why housing downturns show up first as collapsing transaction volumes and only later as falling prices. An equity market reprices in a morning; a housing market can take years to finish.

The historical record is worth stating carefully, because the famous number is the wrong one. Computed from Robert Shiller's own long-run data series, United States home prices rose about 3.34 percent a year between 1900 and 2000 in nominal terms, and about 0.22 percent a year after inflation. Across the full series from 1890 the figures are about 3.39 percent nominal and 0.56 percent real. The commonly quoted "housing goes up about three and a half percent a year" is the nominal figure, and almost all of it is inflation. Two caveats travel with any of these. A national index describes no individual home and no individual market, some of which behaved very differently. And a price index is not a total return: it omits the costs of ownership, which flatters it, and omits the value of living in the property, which understates it.

The most recent United States episode gives the shape of an aftermath. Real national prices fell about 35.7 percent from their peak in December 2005 to their trough in February 2012, a figure independently cross-checked at about 35.9 percent from Federal Reserve economic data. Six years is the part worth noticing. The decline was not a crash in the sense of a single bad month; it was a long grind, over which the households caught in it were making payments on properties worth less than they owed.

Not every large rise is a bubble, and saying so is not fence-sitting. Prices can rise for reasons that are entirely about fundamentals: borrowing costs falling, which raises what a given income can bid; incomes rising; new construction constrained by land or regulation; or a genuine increase in the number of households wanting to live somewhere. Each of those can produce a durable higher price. The distinguishing feature of a bubble is that the rise is justified mainly by the rise itself, and that is precisely the thing that cannot be measured from the outside while it is happening.

Used in a Sentence

“Ines was not persuaded the region was in a housing bubble, since prices had roughly tracked local incomes, but she wanted to see the price-to-income ratio for the county before making an offer.”

How It Works

Prices rise faster than incomes and rents. Buyers stretch, often with more debt, on the reasoning that waiting will cost more than borrowing does. Lending standards loosen because rising collateral values make loans look safe. At some point new buyers stop appearing at the prices being asked, transactions fall away, and the prices at which sales do happen begin to drop. Because the asset is leveraged and slow to sell, the adjustment takes years.

A hypothetical illustration of what a departure from incomes looks like, and of what it would take to close it. In a town the median home costs $200,000 and median household income is $50,000, so the price-to-income ratio is 200,000 ÷ 50,000 = 4.0.

Over the next several years prices rise to $340,000, a rise of 70 percent, while incomes rise to $55,000, a rise of 10 percent. The ratio is now 340,000 ÷ 55,000 = 6.2.

There are only two ways back to 4.0. Prices can fall to 4.0 × $55,000 = $220,000, which from $340,000 is a fall of $120,000, or about 35 percent. Or incomes can rise to $340,000 ÷ 4.0 = $85,000, which from $55,000 is a rise of about 55 percent.

Nothing in that arithmetic says the ratio must return to 4.0, and it may not: the right ratio for a town can change if borrowing costs, household size or the local economy change durably. What it does show is the scale of what would be required, and that is the honest way to read a stretched market. All figures are illustrative.

Pros and Cons

Why the concept is useful

  • It directs attention to the relationship between prices and incomes rather than to the price level alone, which is the comparison that has predictive content.
  • Statistical work on it exists and is published quarterly by a Federal Reserve Bank, so the question is not purely rhetorical.
  • Understanding the leverage involved explains why a moderate price fall is a severe household event, which a percentage on its own does not convey.
  • Knowing that housing declines take years rather than days changes how a household should think about the horizon for a home purchase.

Why the concept is easy to misuse

  • It is applied with hindsight, so a market called a bubble in advance is a prediction and not a diagnosis.
  • High prices and a bubble are different claims. Prices can be high because fundamentals changed durably.
  • The long-run "houses go up about three and a half percent" figure is nominal. After inflation, twentieth-century United States home prices rose about 0.22 percent a year.
  • National figures conceal enormous local variation, and the local market is the only one a buyer transacts in.
  • Even a correctly identified stretch says nothing about timing, and a market can stay stretched for years.

People Also Asked

Answers to the most frequently asked questions.

Is there an official way to tell whether a housing bubble is happening?
Not one that returns a yes or no. The Federal Reserve Bank of Dallas publishes quarterly exuberance indicators that test whether real house prices or price-to-income ratios are behaving explosively, and it deliberately describes the result as exuberance and as a signal of emerging misalignments rather than as identification of a bubble. That is the strongest formal tool in public use, and the caution in its own language is the point.
Do house prices always recover after a fall?
Over long enough periods national prices have historically resumed rising, but the two qualifications matter more than the pattern. After inflation, United States home prices rose only about 0.22 percent a year across the twentieth century, so recovery in nominal terms is not the same as gaining ground. And national figures describe no individual market; some areas have not returned to earlier peaks even while the country as a whole did.
Why do housing downturns take so long?
Because the asset is expensive to sell, slow to sell, and lived in. Owners unwilling to accept a lower price withdraw their listings rather than cut, which shows up as collapsing transaction volumes long before it shows up as falling prices. In the last United States episode, real prices took from December 2005 to February 2012 to reach their trough.
How is a housing bubble different from a stock market bubble?
Chiefly in leverage and speed. Most homes are bought with borrowed money, so a moderate price fall can eliminate the buyer's entire stake and leave them owing more than the property is worth. And housing repricing takes years rather than days, because selling is slow and costly and most owners need somewhere to live, so the pain is drawn out rather than concentrated.
Does a high price-to-income ratio mean a market is in a bubble?
Not by itself. A ratio is a snapshot, and the level that is normal for a place can shift durably if borrowing costs, land constraints or the local economy change. What is more informative is the direction and speed: a ratio pulling away from its own history is the pattern the statistical tests are built to detect, which is why they measure explosive behavior rather than a level.

Sources

AdviceOnly maintains high editorial standards to improve the quality and accuracy of our educational content. Content is written with the assistance of artificial intelligence tools following a rigorous quality assurance process, and periodically reviewed by credentialed and experienced human financial advisors. References used include government data, academic papers, interviews with industry experts, and reputable primary sources. You can learn more about our efforts to produce accurate content in our editorial policy.

  1. Federal Reserve Bank of Dallas. "International House Price Database."
  2. Federal Reserve Bank of Dallas. "Real-Time Market Monitoring Finds Signs of Brewing U.S. Housing Bubble."

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