CoreLogic® Reports Shadow Inventory as of January 2012 Remains Flat

SANTA ANA, Calif., March 21, 2012 /PRNewswire/ -- CoreLogic (NYSE: CLGX), a leading provider of information, analytics and business services, reported today that the current residential shadow inventory as of January 2012 was 1.6 million units (6-months' supply), approximately the same level reported in October 2011. On a year-over-year basis, shadow inventory was down from January 2011, when it stood at 1.8 million units, or 8-months' supply. Currently, the flow of new seriously delinquent (90 days or more) loans into the shadow inventory has been offset by the roughly equal flow of distressed sales (short and real estate owned).

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"Almost half of the shadow inventory is not yet in the foreclosure process," said Mark Fleming, chief economist for CoreLogic. "Shadow inventory also remains concentrated in states impacted by sharp price declines and states with long foreclosure timelines."

"The shadow inventory remains persistent even though many other metrics of the housing market show signs of improvements.  In some hard-hit markets the demand for REO and distressed property is now outstripping supply. As we move into what is traditionally the peak selling season for real estate, servicers will certainly be watching closely to see if now is the time to move more inventory out of the shadows," said Anand Nallathambi, president and CEO for CoreLogic.

CoreLogic estimates the current stock of properties in the shadow inventory, also known as pending supply, by calculating the number of distressed properties not currently listed on multiple listing services (MLSs) that are seriously delinquent, in foreclosure and real estate owned (REO) by lenders. Transition rates of "delinquency to foreclosure" and "foreclosure to REO" are used to identify the currently distressed non-listed properties most likely to become REO properties. Properties that are not yet delinquent, but may become delinquent in the future, are not included in the estimate of the current shadow inventory. Shadow inventory is typically not included in the official metrics of unsold inventory. 

Data Highlights:

• As of January 2012, shadow inventory remained at 1.6 million units, or 6-months' supply and represented half of the 3 million properties currently seriously delinquent, in foreclosure or REO.
• Of the 1.6 million properties currently in the shadow inventory (Figures 1 and 2), 800,000 units are seriously delinquent (3.1-months' supply), 410,000 are in some stage of foreclosure (1.6-months' supply) and 400,000 are already in REO (1.6-months' supply).
• Florida, California and Illinois account for more than a third of the shadow inventory. The top six states, which would also include New York, Texas and New Jersey, account for half of the shadow inventory.
• The shadow inventory is approximately four times higher than its low point (380,000 properties) at the peak of the housing bubble in mid-2006. 
• Despite 3 million distressed sales since January 2009, the period when home prices were declining at their fastest rate, the shadow inventory in January 2012 is at the same level as January 2009.
• The shadow inventory is approximately half of the size of all visible inventory listings. For every two homes available for sale, there is one home in the "shadows" (Figure 3).
• The segment of borrowers that were 60+ days delinquent in the past but were "cured" and are now current on their payments is increasing. This figure was 7.2 percent in January 2012 (Figure 4), up from 5.7 percent a year ago.
• The total percent of borrowers who were ever 60+ days delinquent (irrespective of delinquency status today) increased to 15.5 percent in January 2012, up from 14.3 percent a year ago.
• The highest concentration of shadow inventory is for loans with loan balances between $100,000 and $125,000 (Figure 5). More importantly while the overall supply of homes in the shadow inventory is declining versus a year ago, the declines are being driven by higher balance loans. For loans with balances of $75,000 or less, however, the shadow is still growing and is up 3 percent from a year ago.

Figure 1 - Shadow Inventory Detail

Count in Millions, Not Seasonally Adjusted

Figure 2 - Months' Supply Shadow Inventory Detail

Number of Months, Not Seasonally Adjusted

Figure 3 - Total Inventory Detail

Count in Millions, Not Seasonally Adjusted

Figure 4 - Percent of Current Loans That Were Ever 60 Days Delinquent

Figure 5 -The Bulk of the Shadow Inventory is for Lower Balance Loans

Distribution of 90+ SDQ by Active Loan Balance

Methodology:

CoreLogic utilized its LoanPerformance Servicing and Securities databases to size the number of 90+ day delinquencies, foreclosures and REOs. Roll rates, which measure the proportion of loans that were in one stage of default that rolled to the next stage of default over a period of time, were applied to the number of loans in default by each stage of default. This calculation allowed for estimating the number of loans that were proceeding from earlier to later stages of default. CoreLogic calculated the share of loans in default that are currently listed on MLS by matching public record properties in default to MLS active listings. It applied the percentage of defaulted loans that are being listed to the estimate of outstanding loans that will proceed to further stages of default to calculate the pending supply inventory by stage of default and added that to the visible inventory that is reported for existing homes and new homes by the National Association of Realtors and the Bureau of the Census, respectively. To determine months' supply for visible and shadow inventories, CoreLogic utilized the number of non-seasonally adjusted home sales according to CoreLogic data.

Source:  CoreLogic

The data provided is for use only by the primary recipient or the primary recipient's publication or broadcast. This data may not be re-sold, republished or licensed to any other source, including publications and sources owned by the primary recipient's parent company without prior written permission from CoreLogic.  Any CoreLogic data used for publication or broadcast, in whole or in part must be sourced as coming from CoreLogic, a data and analytics company. For use with broadcast or web content, the citation must directly accompany first reference of the data.  If the data is illustrated with maps, charts, graphs or other visual elements, the CoreLogic logo must be included on screen or web site.  For questions, analysis or interpretation of the data, contact Lori Guyton at [email protected] or Bill Campbell at [email protected]. Data provided may not be modified without the prior written permission of CoreLogic.  Do not use the data in any unlawful manner. This data is compiled from public records, contributory databases and proprietary analytics, and its accuracy is dependent upon these sources.

About CoreLogic

CoreLogic (NYSE: CLGX) is a leading provider of consumer, financial and property information, analytics and services to business and government. The Company combines public, contributory and proprietary data to develop predictive decision analytics and provide business services that bring dynamic insight and transparency to the markets it serves. CoreLogic has built one of the largest and most comprehensive U.S. real estate, mortgage application, fraud, and loan performance databases and is a recognized leading provider of mortgage and automotive credit reporting, property tax, valuation, flood determination, and geospatial analytics and services. More than one million users rely on CoreLogic to assess risk, support underwriting, investment and marketing decisions, prevent fraud, and improve business performance in their daily operations. The Company, headquartered in Santa Ana, Calif., has more than 5,000 employees globally. For more information, visit www.corelogic.com.

CORELOGIC and the stylized CoreLogic logo are registered trademarks owned by CoreLogic, Inc. and/or its subsidiaries. No trademark of CoreLogic shall be used without the express written consent of CoreLogic.

SOURCE CoreLogic

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