Category: home sales

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Making sense of real estate market indicators

home sales statsIt used to be easy to figure out the strength of the real estate market, all you had to do was look at reported housing indices and it all made sense. Statistics were often verified and corresponded to other indices as well. However, since the financial crisis, there seems to be a disconnect between national and local housing indicators; gauging the market has become confusing – understanding what the indices measure and imply is often tricky.

Obviously, the best gauge to the health of the housing market is measuring existing home sales. Existing home sales is reported nationally and locally. The figure is important because it is a direct measure of the number (volume) of home sales during a given time period (usually monthly). National sales figures are often samples of MLS data, while local data are actual (raw) numbers. The statistic is used to chart annual sales trends; as well as a relative comparison to the same period during previous years.

Some have talked about the strength of luxury home sales as an indicator of the housing market. However, during a weak economy is weak, mid and low tier home sales tend to decrease; while upper bracket and luxury sales remain relatively strong. This bifurcation, where two distinct markets are derived from one, has emerged twice since the financial crisis; most recently earlier this year.

The National Association of Realtors® reports the Pending Home Sale Index, which is basically the number of homes that go under contract (pending sale) during a specific period. Pending sales are sometimes called a “forward looking” statistic because it is used to estimate how many homes will have sold for the year. Local pending sales are reported as a raw number of homes under contract. The statistic can be misleading because contracts fall apart for a number of reasons and may be one explanation as to why pending sales and existing sales may not correspond. Although the figure is not always indicative of actual sales, the figure is important because it reveals home buyer activity.

Another statistic relied on by many to determine the strength of the housing market are the home price indices (yes there is more than one). There are a number of national home price indices, and each has their own discrete methodology of measuring home sale prices. Some indices collect MLS data samples, while others use reported mortgage data. Average home sale prices help determine affordability, which can be an indication of buyers’ potential ability to purchase a home.

Some analysts talk about mortgage interest rates for much of the same reason one might follow home sale prices – to project home buyer affordability. The rationale is that the lower the interest the more affordable homes are and increase buyer activity.

Analysts also use new homes statistics to describe the strength of the real estate market. Included in this subset of housing data are new home sales and new home starts. New home starts is typically derived from the number of permits filed to build homes. Besides being a forward looking projection of new homes sales, economists follow new home starts figures closely because it can project construction employment as well.

Housing indices can be inconsistent. And while positive statistics may be reported nationally, it doesn’t necessarily correspond to the local market. Your real estate agent can provide insight to local sales trends and expected projections.

© Dan Krell
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Disclaimer. This article is not intended to provide nor should it be relied upon for legal and financial advice. Readers should not rely solely on the information contained herein, as it does not purport to be comprehensive or render specific advice. Readers should consult with an attorney regarding local real estate laws and customs as they vary by state and jurisdiction. Using this article without permission is a violation of copyright laws.

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Forget GDP – real estate is still a local phenomenon

real estate

Are you one of those who are ignoring the recent negative GDP report? Or are you chalking it up to the weather or other factors? If you are unaware, the May 29th news release by the U.S. Department of Commerce – Bureau of Economic Analysis (bea.gov) reported that the Gross Domestic Product for the 1st Quarter 2014 was revised to -1%. Of the number of reasons cited was a negative contribution from residential fixed investment (basically poor home sales).

Although one poor quarter is not a trend, two consecutive quarters of negative GDP could be considered a recession. But this rule of thumb is not always accurate – after all, this is the second time during the current recovery we have had a negative GDP. Many economists are not concerned and expect a rebound, citing the recent employment report; while some are very concerned, citing the low employment participation along with declining personal income and spending.

I hear you saying: “Ok, even though home sales have been lacking, home prices have been increasing,” which is a sign of strength in the housing market. According to an analysis by Ray Valdez (The housing bubble and the GDP: a correlation perspective: Journal of Case Research in Business & Economics; June 2010, Vol. 3, p1), there is a strong relationship between GDP and home prices. Local data for Montgomery County MD during May 2014 not only indicates a year over year decrease in sales volume, but average home sale prices may have decreased bout 1% compared to May 2013. Other indications that the local housing market is cooling this year is the sharp increase of new listings, and a lower absorption rate of listed homes.

The BEA GDP release also cited Gross Domestic Income for the 1st Q as decreasing 2.3% (compared to the 2.6% increase the previous quarter). Putting income in perspective, Rick Newman of Yahoo’s “The Daily Ticker” (The Middle Class is Even Worse Off Than the Numbers Show); “The “average” American worker earns about $44,000 per year and saves around 4% of his income. And the “average” household has a net worth of approximately $710,000, including the value of homes, investments, bank accounts and so on. But many Americans, needless to say, fall well below those benchmarks, which fail to capture widespread financial distress…” Newman points to the growing wealth of the affluent as skewing income data: “The rich have always skewed wealth and income data to some extent, since they pull up averages and make ordinary people seem a bit better off than they really are. But the outsized gains of the super-rich during the past 25 years have become so disproportionate that some measures of prosperity may be losing their relevance.”

If you’re concerned about mixed economic reports affecting the housing market and possibly your sale or purchase; you can take heart in the notion that the current environment is different than that of the Great Recession. Some economists expect a rebound, citing relatively low mortgage interest rates and some loosening lending standards as incentivizing home buyers.

Nevertheless, real estate is still a local phenomenon; and just like the differences between regional markets, external influences can create differences among geographical areas as well. If you’re planning to be in the market, consult with your real estate agent about recent neighborhood data and trends to assist you with your pricing strategy.

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By Dan Krell
Copyright © 2014

Disclaimer. This article is not intended to provide nor should it be relied upon for legal and financial advice. Readers should not rely solely on the information contained herein, as it does not purport to be comprehensive or render specific advice. Readers should consult with an attorney regarding local real estate laws and customs as they vary by state and jurisdiction. Using this article without permission is a violation of copyright laws.

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Predicting 2013 home sales through housing statistics

by Dan Krell
DanKrell.com
© 2013

home sale statsMuch like a soap opera cliff hanger, 2012 home sales ended on an upward swing leaving people wanting more good news. There’s a lot expected from this year’s real estate market, so what are some of the experts saying about 2013?

The latest S&P/Case-Shiller Home Price Indices (www.standardandpoors.com/indices) press release dated January 29th reported home prices rose during 2012 through November rose in 19 of 20 cities. The 10-city composite revealed an annual home price increase of 4.5% and the 20-city composite revealed a home price increase of 5.5%. And although the release described that the seasonally adjusted home prices may be an indication of a week winter housing market, there was a clear pronouncement that “…housing is clearly recovering…” and pointed out that nationwide existing home sale volume outpaced recent years’ volumes. The cities that made the most gains were the cities that experienced the most declines in home values and the highest foreclosure rates. The home price indices of the 10-city and 20-city composites are reportedly back to 2003 levels.

The National Association of Realtors® (realtor.org) reported in a February 11th press release that the national median existing single family home price increased 10% in the fourth quarter 2012 over the same period in 2011. And the Housing Affordability Index indicates that the homebuyer’s buying power is at a point where they could “comfortably” afford to purchase a home.

Fourth quarter 2012 home sales volume was reported by NAR to be the highest since the fourth quarter 2009; 23% of home sales during the quarter were from distressed home sales (short sales and foreclosures). Additionally, home sale inventory was down about 21.6% for the quarter, which is the lowest since 2001.

NAR chief economist Lawrence Yun was reported as saying that home sales are being energized by “pent up demand” and low inventories. He stated, “…all the conditions for strong price growth are at play.”… “Home sales are on a sustained uptrend, mortgage interest rates are hovering near record lows and unsold inventory is at the lowest level in 12 years…” Yun believes that “…supply and demand dynamics are very much at play.”

Given recent reports from various sources, it looks as if there is momentum in the real estate market. And NAR’s Dr. Yun lays out an argument for home sales that hasn’t been since 2006. But chances are that 2013 home sales will be about many factors, not just “pent up demand” or “supply and demand.” For example, it is doubtful that hedge funds will continue the bulk foreclosure buying that pushed home sales figures to almost record levels.

By themselves, housing indices are broad based measures that typically measure one aspect of the housing market; describing the variables responsible for the measures and indices is more difficult and usually a guess at what’s happening in the marketplace. In an effort to provide a more meaningful measure of the housing market, I devised a measure called the “Krell List-to-Sold Ratio;” which is the ratio of total number of listings to the total number of homes sold in any given area during any time period. The January 2013 Krell List-to-Sold Ratio for Montgomery County reveals that activity continues to be elevated; which is interpreted to mean that the year has started stronger than recent years, but not as strong as 2012.

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This article is not intended to provide nor should it be relied upon for legal and financial advice.  Using this article without permission is a violation of copyright laws. Copyright © 2012 Dan Krell.

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Stories behind home sales tell of a meaningful history

by Dan Krell
DanKrell.com
© 2013

housing developmentIt’s entertaining and interesting to take a look at the unusual and extremes of the housing market during the year that just ended. Besides some of the notable sales of this past year, consider the least and most expensive single family homes that sold during 2012. The stories of these two homes go beyond recent sales and economic conditions; they tell a story of suburbanization and the growth Montgomery County.

One of the lowest priced single family homes that sold in Montgomery County during 2012 was a home located on Sigsbee Road in Silver Spring. The home, located in Veirs Mill Village, was listed in the MLS (Metropolitan Regional Information Systems, Inc) by Real Home Services and Solutions, Inc. as a foreclosure and sold for $86,199. Veirs Mill Village, a community that seemed to have its share of foreclosures in recent years, was built as part of the post World War II housing boom.

According to the Maryland Department of Transportation State Highway Administration’s “Suburbanization Historic Context and Survey Methodology” (roads.maryland.gov), Veirs Mill Village was one of the largest post war housing developments built in Maryland. There was a housing shortage immediately after World War II, and a scramble ensued to build homes to accommodate returning veterans as well as the quickly growing Federal workforce. Because of the speediness of the construction, neighborhood aesthetics was not a priority; initially, there was little thought to community, commerce, or municipal services. Built to be affordable housing, the community initially attracted young families; the average age was stated to be 21. The completed development consisted of 1,105 four room bungalows, each with a 1948 price of $8,700.

Consider that at the height of the housing market in 2006, the average home sale price in Veirs Mill Village was $390,337 and ranged from $325,000 to $485,000. The average sale price during 2012 was $218,950. And although this home on Sigsbee Road was not expanded from its original 648 sf, it is not uncommon for neighborhood home owners to have expanded these homes over the years.

In contrast, one of the most expensive homes that sold in Montgomery County during 2012 is located on West Lenox Street in Chevy Chase. The 100 year old home sold for $7,050,000. The MLS listing stated that the home, listed by Long & Foster Real Estate, Inc., was built in 1913 and was expanded and renovated in 2006.

real estateAccording to the “Suburbanization Historic Context and Survey Methodology,” the development of Chevy Chase began as part of the suburbanization of Montgomery County of the 1880’s. Although other Montgomery County developments at that time were priced for middle class civil servants (due in part to the Civil Service Act 1883) , Chevy Chase was developed to attract affluent home buyers. Chevy Chase expanded in the 1890’s when a rail line was built to encourage growth in a suburb that was considered inaccessible; and became an established affluent neighborhood when the economy flourished during the 1920’s housing boom.

The MLS listing and sale and sale price information is compiled from Metropolitan Regional Information Systems, Inc. (MRIS.com); the information is not an opinion of value, nor should the information be misconstrued as an appraisal. Additional neighborhood suburbanization and historical information can be found on the Maryland Department of Transportation State Highway Administration’s website (roads.maryland.gov).

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This article is not intended to provide nor should it be relied upon for legal and financial advice.  Using this article without permission is a violation of copyright laws. Copyright © 2013 Dan Krell.

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Grading the housing market on a curve – how housing stats can be misleading

Dan Krell, Realtor®
DanKrell.com
© 2012

Home Sale StatisticsDid your teacher ever grade on a curve, where test scores are “weighted” based on the lowest and/or highest score in the class? The typical explanation for such statistical manipulation of raw test scores is to create a distribution where classmates are compared to each other, rather than how well they actually score on the usual grading scale.

The National Association of Realtors® (NAR) August 22nd news release titled “Existing-Home Sales Improve in July, Prices Continue to Rise” at first glance might seem good news, but after a deeper look the news may not be as promising. The release states that the July’s total existing home sales increased 2.3% in July from June, based on July’s seasonally adjusted annual rate of 4.47 million compared to June’s 4.37 million (realtor.org).

Although the adjusted data may have indicated a significant increase in existing home sales, the raw data may suggest something different. If you follow the links on the NAR’s press release through the website, you’ll find yourself at the page titled, “Existing Home Sales” (realtor.org/topics/existing-home-sales/data): where you’ll find a links to home sale data – which includes the “seasonally adjusted annual rate” and “not seasonally adjusted” stats.

Although July’s “seasonally adjusted annual rate” of existing home sales indicated a 2.3% increase over June’s “seasonally adjusted annual rate;” the “not seasonally adjusted” rate (e.g., the raw sales data) indicated that there was a 7.3% DECREASE in existing home sales in July compared to June, and a year to date increase of existing home sales of only 2.647%.

So, what’s the difference between “seasonally adjusted” and “not seasonally adjusted” data? Well, for that explanation, we need to follow the links to the methodology (realtor.org/topics/existing-home-sales/methodology). “Not seasonally adjusted” data is described as raw data that has been basically scrubbed for errors. However, the site states that “It is necessary to “annualize” and seasonally-adjust the existing home sales data so that month-to-month and quarter-to-quarter comparisons can be observed without seasonal variances distorting the overall picture;” thus the “seasonally adjusted annual rate” may be forward looking figure estimating a rate by which homes are selling.

And of course, many media outlets took the headline and ran with it without explaining the meaning of the “seasonally adjusted annual rate.” July’s figure gives the impression that the housing market has made significant improvement during a month where the actual number of existing homes sales decreased from the previous month. But don’t blame the NAR either: the press release contains links to pages of explanation and data for anyone to take the time to sort through and figure out.

Home Sale StatisticsStatistical analysis can be a good thing, if the statistic is meaningful and is understood. It seems as if everyone already forgot about the criticism that the NAR received last year because they announced a downward revision of existing home sales going back to 2007. If you remember, the main reason given for the revision was for “data drift” that occurred during the housing downturn; and much like other estimate revisions (such as GDP and employment figures) “re-benchmarking” is a common aspect of estimating economic data.

Regardless of what the rate of annual home sales is estimated to be, we’ll know the actual number of existing home sales at the end of the year. And at that time, we can determine what kind of year 2012 has been for housing.

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This article is not intended to provide nor should it be relied upon for legal and financial advice. This article was originally published in the Montgomery County Sentinel the week of August 27 , 2012. Using this article without permission is a violation of copyright laws. Copyright © 2012 Dan Krell.

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