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Michael Olenick: 9.8 Million Shadow Inventory Says Housing Market is a Long Way From the Bottom

By Michael Olenick, founder and CEO of Legalprise, and creator of FindtheFraud, a crowd sourced foreclosure document review system (still in alpha). You can follow him on Twitter at @michael_olenick

“Shadow inventory,” the number of homes that are either in foreclosure or are likely to end up in foreclosure, creates substantial but hidden pressure on housing prices and potential losses to banks and investors. This is a critical figure for policymakers and financial services industry executives, since if the number is manageable, that means waiting for the market to digest the overhang might not be such a terrible option. But if shadow inventory is large, housing prices have a good bit further to go before they hit bottom, which has dire consequences for communities, homeowners, and the broader economy.

Yet estimates of shadow inventory, and even the definition of what constitutes shadow inventory property, vary widely. For example, the Wall Street Journal published a Nov. 11, 2011 article, “How Many Homes Are In Trouble?” where values varied from 1.6 million (CoreLogic), to “about 3 million” (Barclays Capital), to 4 million (LPS Applied Analytic), to 4.3 million (Capital Economics), to LPS Applied Analytics, to between 8.2 million and 10.3 million (Laurie Goodman, Amherst Securities).

Why do these numbers vary so much? Even though CoreLogic is generally considered to have one of the best databases of loans, its estimates of loan performance and odds of default are based on credit scores, which is a badly lagging indicator. Laurie Goodman is seen by many as having the most carefully though out model, even though industry insiders are keen to attack her bearsish-looking forecast.

I have a large database of my own, and am familiar with housing and mortgage information sources. I’ve come up with my own tally of shadow inventory and have also tried to analyze — OK — take a stab at – what I call “shadow liability,” meaning the amount of money taxpayers, investors, banks, will be lose if those homes are liquidated. Assumptions using those terms are also in the attached spreadsheet. My analysis comes up with a total close to that of Goodman’s range, 9.8 million using a narrower definition than Goodman’s of what constitutes shadow inventory.

Put more simply, things are actually worse than any of the prevailing estimates indicates, although Goodman is very close to the mark. Current loss experience suggests that this figure is staggering, easily in the $1 trillion range.

Why aren’t those losses more visible yet? Well, evidence suggests that servicers are stalling the foreclosure process, not taking title to and selling these houses. For the lenders, such delay likely allows them avoid the write-offs of both the negative equity as well as the worthless second liens. More generally, it keeps the trillion dollar losses hidden. Lenders aren’t acknowledging their stall tactics, however. When people notice how slowly foreclosures are progressing from initial steps to resale, lenders point at their foreclosure fraud related dysfunction. Lenders conveniently don’t mention that such dysfunction was self-induced, instead blaming borrowers and courts.

My Methodology

My data comes from several sources. Default information is from the October, 2011 LPS Mortgage Monitor. Housing information, including the number of houses with mortgages, comes from the US 2010 US Census and the 2009 Statistical Abstract. Median home prices — the likely value of the loans that are either in foreclosure or will be soon, is from the FHFA; specifically the Q2, 2006 state-by-state median home prices, when many of the bubble loans were written. Note: these prices are used to approximate the principal value of the loans, not what the properties are currently worth.

Because not all this data overlaps entirely some extrapolation was necessary; when required to extrapolate I tried to do so conservatively. An example is how I arrived at the number of mortgages in the US, a step on the way to calculating the number of mortgages in default.

The first step was figuring out how many housing units with residential mortgages America has. According to the 2010 census, America is home to 131.7 million housing units. Of these, 76.4 million are owner-occupied, 37.5 million are rental units, and the remaining 17.2 million are vacant, and the remaining 600K are houseboats or other exotic housing. Of the 37.5 million rentals, some are in apartment buildings that would be financed with commercial mortgages, not residential ones. Commercial loans are structured differently than residential loans, and are easier to renegotiate, so they I’ve excluded from this analysis.

To be conservative—to exclude more loans as commercial than actually are, rather than risk leaving commercial loans in the analysis—I’ve assumed that any building with 5 or more housing units is in a building that either has a commercial loan or no mortgage at all.

According to the National Multi-Housing Council, using 2011 Census data, has determined that nationally, 42% of renters live in buildings with 5 or more units. Applying that percentage to the 37.5 million rental units, and subtracting that from total renters, I end up with 21.8 million rental housing units that could have residential mortgages.

In total, then, I have 76.4 million owner-occupied homes, 21.8 million residential rental units, 17.2 million vacant homes (which includes, among other things, vacation homes and abandoned ones) and 16.3 million other, mainly units in commercial properties. All in all I end up with just over 115 million homes that could have a residential mortgage on them. But how many of them? Well, the Census reports that in 2010, 68% of owner-occupied units had at least one mortgage. I used this same 68% for investment (residential rental) properties and vacant (primarily vacation and abandoned single family homes) properties.

I believe this 68% figure is appropriate for two reasons. First, a person who has a mortgage on their own home is unlike to buy a vacation house or an investment property with cash. Indeed, even a homeowner living free and clear in their own home might need a mortgage to buy second property. So assuming the mortgage rate for investment and vacation homes is the same as owner occupied surely understates the number of mortgages. Second, the mortgage rate on abandoned homes surely is nearly 100%; why abandon a home if it’s not in foreclosure?

Using that math, I came up with 78.6 million mortgaged properties. This figure is substantially higher than many other estimates, including Goodman’s Amherst study, though the likely reason is that the census data the analysis relies upon is relatively new. Goodman’s study uses 53.7 million mortgaged homes, though the census reports 52.2 million owner-occupied loans alone, in additional to rental properties, mobile homes, and vacant properties. Given that the census cost $13 billion to produce — an amount no private organization could afford — and 2010 results were not available at this level of granularity until relatively recently, I would not be surprised to see upward revisions to other base housing unit figures in the future.

To estimate shadow inventory, I used the delinquency data from LPS Analytics. They add up loans that are delinquent, loans that are in foreclosure, then come up with a state-by-state percentage of “non-current” — loans that are, or are likely, to end up in foreclosure. There is some ambiguity in LPS’ figures; specifically the definition of “delinquent,” and whether they are counting homes or loans.

To illustrate a potential problem with these assumptions, let’s take a theoretical example of 100 houses. Let’s assume 68% have mortgages, a figure from the census, so 68 houses have mortgages. Then let’s assume these homes are in FL and 22.9%, or 23 houses, are either in foreclosure or likely to end up there soon. I’m assuming this means that 45 houses are current, 23 houses in trouble, and 32 houses paid-off, though I concede that it could mean 12 houses with two mortgages are in trouble, 32 are paid off, and 56 are fine.

Tags: bankruptcy, borrower, countrywide, disclosure, foreclosure, foreclosure defense, foreclosure offense, foreclosures, fraud, LOAN MODIFICATION, modification, quiet title, rescission, RESPA, securitization, TILA audit, trustee, WEISBAND
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