The Impact of Tax Reform on Real Estate

Cushman & Wakefield have posted The Great Tax Race: How the World’s Fastest Tax Reform Package Could Impact Commercial Real Estate. There is a lot of interesting insights in the report, notwithstanding the fact that ultimate fate of the Republicans’ tax reform is still a bit up in the air. Indeed, C&W estimates that there is a 1 in 5 chance that a bill will not pass this year.

Commercial Real Estate

C&W states that history

suggests that tax law changes by themselves are often not key drivers for transactions or for investment performance. However, there is likely to be a period of transition and market flux as investors restructure to optimize tax outcomes with implications for the underlying asset classes. Corporations are likely to separate the real estate aspects of their businesses. (2)

The commercial real estate industry is largely exempt from the biggest changes contained in the House and Senate bills. 1031 exchanges, for instance, have not been touched. C&W sees corporations being big beneficiaries, with a net tax cut of $400 billion over the next 10 years; however, they “anticipate that the tax cut will be preferentially used to return capital to shareholders or reduce debt, rather than to increase corporate spending.” (2)

Residential Real Estate

C&W sees a different effect in the residential real estate sector, with a short-term drag on home values in areas with high SALT (state and local tax) deductions, including California, NY and NJ:

The drag on home values is likely to be largest in areas with high property taxes and medium-to-high home values. There is also likely to be a larger impact in parts of the country where incomes are higher and where a disproportionate proportion of taxpayers itemize. Both versions of the tax reform limit property tax deductibility to $10,000. While only 9.2% of households nationally report property taxes above this threshold, this figure rises to as high as 46% in Long Island, 34% in Newark and 20% in San Francisco according to Trulia data.

The Mortgage Bankers Association (MBA) estimates that 22% of mortgages in the U.S. have balances over $500,000, with most of these concentrated in high costs areas such as Washington, DC and Hawaii—where more than 40% of home purchase loans originated last year exceeded $500,000. This is followed by California at 27%, and New York and Massachusetts at 16%. (6)

C&W also evaluated tax reform’s impact on housing market liquidity and buy v. rent economics:

The median length of time people had owned their homes was 8.7 years in 2016—more than double what it had been 10 years earlier. Now that interest rates have begun to tick upward from their historic lows, the housing market may face a problem called the “lock-in” effect, where homeowners are reluctant to move, since moving might entail taking out a new mortgage at a higher rate. This leads to the possibility of decreasing housing market liquidity in high-priced markets.

All things considered, the doubling of the standard deduction and the cap on the property tax deduction is likely to have the largest impact on the buy vs. rent incentive, especially as it seems likely that there will be minimal changes to the mortgage interest deduction in any final tax reform bill. (7-8)

Challenges for Modern Housing Markets

Professor Barnes

Professor Boyack

 

 

 

 

 

 

 

 

 

I will be speaking in a free American Bar Association webinar tomorrow, Challenges for Modern Housing Markets:

Our current housing system is not sustainable in terms of the market, residential tenure, cost stability, and neighborhood inequality. Our panelists will discuss some key areas in which housing must be stabilized in order to strengthen our economy and society. Our panelists will address ways to lessen the volatility of housing prices and home mortgage lending, the importance of and ways to improve stability of residency, ways to improve the sustainability of affordable housing, and recent lawsuits that have reframed the problem of distressed and inequitable communities.

The other speakers are

The program will be moderated by Professor Wilson R. Freyermuth, University of Missouri School of Law.

My remarks will be drawn in part from my work on the Federal Housing Administration.

The webinar is free and open to all.  It will take place Tuesday, December 12, 2017 at 12:30 p.m. Eastern/11:30 a.m. Central/9:30 a.m. Pacific.

Register for the webinar at https://ambar.org/ProfessorsCorner.

The webinar is sponsored by the ABA Real Property, Trust and Estate Law Section Legal Education and Uniform Laws Group. It is part of a series of webinars that features a panel of law professors who address topics of interest to practitioners of real estate and trusts/estates.

 

A Shortage of Short Sales

Calvin Zhang of the Federal Reserve Bank of Philadelphia has posted A Shortage of Short Sales: Explaining the Under-Utilization of a Foreclosure Alternative to SSRN. The abstract reads,

The Great Recession led to widespread mortgage defaults, with borrowers resorting to both foreclosures and short sales to resolve their defaults. I first quantify the economic impact of foreclosures relative to short sales by comparing the home price implications of both. After accounting for omitted variable bias, I find that homes selling as a short sale transact at 8.5% higher prices on average than those that sell after foreclosure. Short sales also exert smaller negative externalities than foreclosures, with one short sale decreasing nearby property values by one percentage point less than a foreclosure. So why weren’t short sales more prevalent? These home-price benefits did not increase the prevalence of short sales because free rents during foreclosures caused more borrowers to select foreclosures, even though higher advances led servicers to prefer more short sales. In states with longer foreclosure timelines, the benefits from foreclosures increased for borrowers, so short sales were less utilized. I find that one standard deviation increase in the average length of the foreclosure process decreased the short sale share by 0.35-0.45 standard deviation. My results suggest that policies that increase the relative attractiveness of short sales could help stabilize distressed housing markets.

The paper highlights the importance of aligning incentives in the mortgage market among lenders, investors, servicers and borrowers. Zhang makes this clear in his conclusion:

While these individual results seem small in magnitude, the total economic impact is big because of how large the real estate market is. A back-of-the-envelope calculation suggests that having 5% more short sales than foreclosures would have saved up to $5.8 billion in housing wealth between 2007 and 2011. Thus, there needs to be more incentives for short sales to be done. The government and GSEs already began encouraging short sales by offering programs like HAFA [Home Affordable Foreclosure Alternatives] starting in 2009 to increase the benefits of short sales for both the borrower and the servicer, but more could be done such as decreasing foreclosure timelines. If we can continue to increase the incentives to do short sales so that they become more popular than foreclosures, future housing downturns may not be as extreme or last as long. (29)

The Economics of Housing Supply


chart by Smallman12q

Housing economists Edward L. Glaeser and Joseph Gyourko have posted The Economic Implications of Housing Supply to SSRN (behind a paywall but you can find a slightly older version of the paper here). The abstract reads,

In this essay, we review the basic economics of housing supply and the functioning of US housing markets to better understand the distribution of home prices, household wealth and the spatial distribution of people across markets. We employ a cost-based approach to gauge whether a housing market is delivering appropriately priced units. Specifically, we investigate whether market prices (roughly) equal the costs of producing the housing unit. If so, the market is well-functioning in the sense that it efficiently delivers housing units at their production cost. Of course, poorer households still may have very high housing cost burdens that society may wish to address via transfers. But if housing prices are above this cost in a given area, then the housing market is not functioning well – and housing is too expensive for all households in the market, not just for poorer ones. The gap between price and production cost can be understood as a regulatory tax, which might be efficiently incorporating the negative externalities of new production, but typical estimates find that the implicit tax is far higher than most reasonable estimates of those externalities.

The paper’s conclusions, while a bit technical for a lay audience, are worth highlighting:

When housing supply is highly regulated in a certain area, housing prices are higher and population growth is smaller relative to the level of demand. While most of America has experienced little growth in housing wealth over the past 30 years, the older, richer buyers in America’s most regulated areas have experienced significant increases in housing equity. The regulation of America’s most productive places seems to have led labor to locate in places where wages and prices are lower, reducing America’s overall economic output in the process.

Advocates of land use restrictions emphasize the negative externalities of building. Certainly, new construction can lead to more crowded schools and roads, and it is costly to create new infrastructure to lower congestion. Hence, the optimal tax on new building is positive, not zero. However, there is as yet no consensus about the overall welfare implications of heightened land use controls. Any model-based assessment inevitably relies on various assumptions about the different aspects of regulation and how they are valued in agents’ utility functions.

Empirical investigations of the local costs and benefits of restricting building generally conclude that the negative externalities are not nearly large enough to justify the costs of regulation. Adding the costs from substitute building in other markets generally strengthens this conclusion, as Glaeser and Kahn (2010) show that America restricts building more in places that have lower carbon emissions per household. If California’s restrictions induce more building in Texas and Arizona, then their net environmental could be negative in aggregate. If restrictions on building limit an efficient geographical reallocation of labor, then estimates based on local externalities would miss this effect, too.

If the welfare and output gains from reducing regulation of housing construction are large, then why don’t we see more policy interventions to permit more building in markets such as San Francisco? The great challenge facing attempts to loosen local housing restrictions is that existing homeowners do not want more affordable homes: they want the value of their asset to cost more, not less. They also may not like the idea that new housing will bring in more people, including those from different socio-economic groups.

There have been some attempts at the state level to soften severe local land use restrictions, but they have not been successful. Massachusetts is particularly instructive because it has used both top-down regulatory reform and incentives to encourage local building. Massachusetts Chapter 40B provides builders with a tool to bypass local rules. If developers are building enough formally-defined affordable units in unaffordable areas, they can bypass local zoning rules. Yet localities still are able to find tools to limit local construction, and the cost of providing price-controlled affordable units lowers the incentive for developers to build. It is difficult to assess the overall impact of 40B, especially since both builder and community often face incentives to avoid building “affordable” units. Standard game theoretic arguments suggest that 40B should never itself be used, but rather work primarily by changing the fallback option of the developer. Massachusetts has also tried to create stronger incentives for local building with Chapters 40R and 40S. These parts of their law allow for transfers to the localities themselves, so builders are not capturing all the benefits. Even so, the Boston market and other high cost areas in the state have not seen meaningful surges in new housing development.

This suggests that more fiscal resources will be needed to convince local residents to bear the costs arising from new development. On purely efficiency grounds, one could argue that the federal government provide sufficient resources, but the political economy of the median taxpayer in the nation effectively transferring resources to much wealthier residents of metropolitan areas like San Francisco seems challenging to say the least. However daunting the task, the potential benefits look to be large enough that economists and policymakers should keep trying to devise a workable policy intervention. (19-20)

Fannie, Freddie and Climate Change

NOAA / National Climatic Data Center

The Housing Finance Policy Center at the Urban Institute issued its September 2017 Housing Finance At A Glance Chartbook. The introduction asks what the recent hurricanes tell us about GSE credit risk transfer. But it also has broader implications regarding the impact of climate-change related natural disasters on the mortgage market:

The GSEs’ capital markets risk transfer programs that began in 2013 have proven to be very successful in bringing in private capital, reducing the government’s role in the mortgage market and reducing taxpayer risk. Investor demand for Fannie Mae’s CAS and Freddie Mac’s STACR securities overall has been robust, in large part because of an improving economy and extremely low delinquency rates for loans underlying these securities.

Enter hurricanes Harvey, Irma and Maria. These three storms have inflicted substantial damage to homes in the affected areas. Many of these homes have mortgages backed by Fannie Mae and Freddie Mac, and many of these mortgages in turn are in the reference pools of mortgages underlying CAS and STACR securities. It is too early to know what the eventual losses might look like – that will depend on the extent of the damage, insurance coverage (including flood insurance), and the degree to which loss mitigation will succeed in minimizing borrower defaults and foreclosures.

Depending on how all of these factors eventually play out, investors in the riskiest tranches of CAS and STACR securities could witness marginally higher than expected losses. Up until Harvey, CRT markets had not experienced a real shock that threatened to affect the credit performance of underlying mortgages (except after Brexit, whose impact on the US mortgage market proved to be minimal). The arrival of these storms therefore in some ways is the first real test of the resiliency of credit risk transfer market.

It is also the first test for the GSEs in balancing the needs of borrowers with those of CRT investors. In some of the earlier fixed severity deals, investor losses were triggered when a loan went 180 days delinquent (i.e. experienced a credit event). Hence, forbearance of more than six months could trigger a credit event. Fannie Mae put out a press release that it would wait 20 months from the point at which disaster relief was granted before evaluating whether a loan in a CAS deal experienced a credit event. While most of Freddie’s STACR deals had language that dealt with this issue, a few of the very early deals did not; no changes were made to these deals. Both Freddie Mac and Fannie Mae have provided investors with an exposure assessment of the volume of affected loans in order to allow them to better estimate their risk exposure.

So how has the market responded so far? In the immediate aftermath of the first storm, spreads on CRT bonds generally widened by about 40 basis points, meaning investors demanded a higher rate of return. But thereafter, spreads have tightened by about 20 basis points, suggesting that many investors saw this as a good buying opportunity. This is precisely how capital markets are intended to work. If spreads had continued to widen substantially, that would have signaled a breakdown in investor confidence in future performance of these securities. The fact that that did not happen is an encouraging sign for the continued evolution of the credit risk transfer market.

To be clear, it is still very early to reasonably estimate what eventual investor losses will look like. As the process of damage assessment continues and more robust loss estimates come in, one can expect CAS/STACR pricing to fluctuate. But early pricing strongly indicates that investors’ underlying belief in these securities is largely intact. This matters because it tells the GSEs that the CRT market is resilient enough to withstand shocks and gives them confidence to further expand these offerings.

How Are First-Time Homebuyers Doing?

photo by designmilk

Genworth Mortgage Insurance Corporation released a a First-Time Home Market Report.  The big news from the report is that first-time homebuyers purchased fifteen percent more single-family homes in 2016 than in 2015.  The 2 million homes purchased in 2016 was the most since 2006, before the financial crisis. This is a positive sign for the housing market and for the homeownership rate which has fallen to long-time lows since the financial crisis. The Executive Summary reads,

First-time homebuyers represent an important segment of the housing market, generating significant revenue to real estate agents, homebuilders, and the mortgage finance industry. In this report, we adopt the Department of Housing and Urban Development (HUD) definition of first-time homebuyers as homebuyers who did not own a home in any of the prior three years  . . . Compared to repeat homebuyers, first-time homebuyers play a more pivotal role in influencing housing inventory and home prices because they represent the shift of housing demand from rental to owner occupancy. Despite this well-recognized dynamic, there has been limited data available on the first-time homebuyer market, starting with market size. In this report, we estimate the size of the first-time homebuyer market going back to 1994 using a combination of government and mortgage industry data—20.1 million actual first-time homebuyers were identified. This data provides a historical perspective on the first-time homebuyer market as well as important recent trends. (2)

The report’s key findings include,

1. Between 1994 and 2016, first-time homebuyers purchased on average 1.8 million single-family homes each year, accounting for over one in three of all single-family homes sold, and 45 percent of the purchase mortgages originated.

2. First-time homebuyers have led the housing recovery, contributing over 60 percent of the sales growth in the housing market over the past five years and 85 percent of the growth in the past two years. The resurgence of the first-time homebuyer market has contributed to very tight housing supplies and accelerating home prices, especially at the “low” end of the housing market.

3. During the Housing Crisis, the number of single-family homes sold to first-time homebuyers saw a peak to trough decline of 900,000 units (43 percent) – reaching a trough of just 1.2 million units in 2011. Over the last 10 years, the housing market has seen 3 million fewer first-time homebuyers in aggregate compared to the historical average.

4. The first-time homebuyer market stagnated during the historic housing expansion of the 1990s and early 2000s, leading to a decline in first-time homebuyer mix. Instead, it was repeat homebuyers, including second-home buyers and investors, who led the surge in housing activity.

5. The expansion of government lending programs and the implementation of the first-time homebuyer tax credit provided temporary support to first-time homebuyers. Between 2008 and 2010, first-time homebuyers represented 35 percent of all single-family home sales, which is close to its historical average. However, the percentage of single-family home sales to first-time homebuyers declined once the tax credit expired, and stayed below 30 percent for these three years.

6. First-time homebuyers have always demonstrated a greater need for low down payment mortgage products. Between 1994 and 2016, 73 percent of first-time homebuyers chose such products compared to 30-50 percent for repeat homebuyers. Mortgage products with a lower down payment will likely have a higher first-time homebuyer mix.

7. Private mortgage insurance and FHA (government-backed mortgage insurance) are the two leading products for first-time homebuyers and have together accounted for close to 1 million first-time homebuyers a year since 1994. They have played a key role in reviving the first-time homebuyer market in the current recovery, accounting for approximately 80 percent of its growth in the past two years.

8. First-time homebuyers purchased 2 million single-family homes in 2016, 15 percent more than 2015 – and the most since 2006. During the first quarter of 2017, there were more first-time homebuyers than any other year since 2005. A total of 424,000 single-family homes were sold to first-time homebuyers, up 11 percent from a year ago, and accounting for 38 percent of all single-family home sales. (3)

Securitizing Single-Family Rentals

photo by SSobachek

Laurie Goodman and Karan Kaul of the Urban Institute’ Housing Finance Policy Center have issued a a paper on GSE Financing of Single-Family Rentals. They write,

Fannie Mae recently completed the first government-sponsored enterprise (GSE) securitization of single-family rental (SFR) properties owned by an institutional investor. This securitization, Fannie Mae Grantor Trust 2017-T1, was for Invitation Homes, one of the largest institutional players in the SFR business. When this transaction was first publicly disclosed in January as part of Invitation Homes’ initial public offering, we wrote an article describing the transaction and detailing some questions it raises. Now that the deal has been completed and more details have been released, we wanted to look closely at some of its structural aspects, examine the need for this type of financing, and discuss SFR affordability. (1, citations omitted)

By way of background, the paper notes that

The 2015 American Housing Survey indicates that approximately 40 percent of the US rental housing stock is in one-unit, single-family structures, with another 17 percent in two- to four-unit structures, which are also classified as single-family. Thus, 57 percent of the US rental stock falls under the single-family classification. Although this share increased from 51 percent in 2005 to 57 percent in 2015, this increase was preceded by an almost identical decline from 56.6 percent in 1989 to 51 percent in 2005.

Most SFR properties are owned by mom and pop investors. These purchases were typically financed through the GSEs’ single-family business. Fannie Mae allowed up to 10 properties in the name of a single borrower, and Freddie Mac allowed up to six properties. Rent Range estimates that 45 percent of all single-family rentals are owned by small investors with only one property and 85 percent are owned by those who own 10 or fewer properties. So the GSEs cover 85 percent of the single-family rental market by extending loans to small investors through single-family financing. Of the remaining 15 percent, 5 percent is estimated to be owned by players with over 50 units, and just 1 percent is owned by institutional SFR investors with more than 1,000 properties.

Institutional investors, such as Invitation Homes, entered the SFR market in 2011. Entities raised funds and purchased thousands of foreclosed homes at rock-bottom prices and rented them out to meet the growing demand for rental housing. Then, they built the expertise, platforms, and infrastructure to manage scattered-site rentals. Changes in the business model have required these entities to search for financing alternatives.(1-2, citations omitted)

The paper concludes that “Invitation Homes was an important first transaction—it allowed Fannie Mae to learn about the institutional single-family rental market by partnering with an established player.” (9) It also notes a number of open questions for this growing segment of the rental market: should there be affordability requirements that apply to GSE financing of SFRs and should SFRs count toward meeting GSEs’ affordable housing goals?

That there would be an institutional SFR market sector was inconceivable before the financial crisis. The fire sale in houses during the Great Recession created an opening for institutional investors to enter the single-family rental market.  It is now a small but growing part of the overall rental market. It is important that policy makers get ahead of the curve on this issue because it is likely to effect big changes on the entire housing market.