Tag Archives: macroeconomic

Economic Factors That Affect Housing Prices

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photo by TaxRebate.org.uk

S&P has posted a paper on Economic Factors That Affect Housing Prices. This is, of course, an important topic, albeit one that is an art as well as a science. While S&P undertook this analysis more for mortgage-backed securities investors than for anyone else, it certainly is of use to the rest of us. The paper opens,

The U.S. domestic housing market has experienced a 23% price increase since the beginning of the housing recovery in 2011. Many local housing markets are now close to or above their peak levels of 2006, which leads us to investigate whether the pace of home price appreciation (HPA) can continue at its current pace. In this paper, we (1) examine the economic factors that influence HPA and (2) forecast HPA for numerous geographic regions assuming various economic conditions over the next five years. While the aggregate national pattern in housing prices is an important reference, we need to examine housing prices at a more granular geographic level in order to understand regional housing market dynamics and learn how these are affected by local macroeconomic factors. This paper demonstrates that several economic variables are needed to predict average home price movements for each of 48 different U.S. metropolitan statistical areas (MSAs).

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Factors that influence HPA can be difficult to predict. Therefore, residential mortgage backed securities (RMBS) investors frequently use a range of HPA projections to estimate their potential bond returns. With that in mind, for each MSA, we considered five separate hypothetical economic scenarios, ranging from an “Upside” forecast to an extreme “Stress 3” case. Interestingly, our Stress 3 case forecasts a 28% decline in HPI at the national level over the next five years, which corresponds roughly to the decline experienced in the last recession. Our “base case” scenario leads to forecasts at the national level of a 26% increase in HPI over five years. This represents what we believe to be the most likely economic forecast. (1-2)

S&P’s key findings include:

  • Movement in HPA is primarily influenced by up to five variables, depending on the MSA: housing affordability, changes in shadow inventory, the unemployment rate, the TED spread [a measure of distress in the credit markets], and population growth.
  • HPA in many MSAs has momentum, meaning that it depends on its level in the previous quarter of observation.
  • The mortgage rate generally appears to have little predictive power in connection with home prices.
  • Chicago, Houston, Boston, and San Francisco are projected to appreciate at a greater pace (45%, 40%, 27%, and 36%, respectively) than the 26% forecast for the nation as a whole over the next five years, and New York at a slower pace (21%). Columbus led all MSAs with a projected five-year HPA of 50%.
  • Under our most pessimistic (Stress 3) scenario, Chicago is forecast to experience a greater decline in HPI (34%) over the next five years than the nation as a whole (29%), while New York, Boston, Houston, and San Francisco are projected to experience declines that are less severe than that of the nation (19%, 3%, 17%, and 16%, respectively). Markets that have been vulnerable in the past (Las Vegas, Phoenix, and Riverside) are projected to experience the greatest five-year declines under our Stress 3 scenario (66%, 68%, and 68%). The markets that show the greatest movements are the most sensitive to the five factors and frequently show the greatest upside and downside. (2-3, emphasis in the original)

I found the first and third bullet points to be the most interesting, as many pundits weigh in on the factors that affect housing prices. It will be interesting to see if further research confirms S&P’s findings.

The Rescue of Fannie and Freddie

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Federal Reserve researchers, W. Scott Frame, Andreas Fuster, Joseph Tracy and James Vickery, have posted a staff report, The Rescue of Fannie Mae and Freddie Mac. The abstract reads,

We describe and evaluate the measures taken by the U.S. government to rescue Fannie Mae and Freddie Mac in September 2008. We begin by outlining the business model of these two firms and their role in the U.S. housing finance system. Our focus then turns to the sources of financial distress that the firms experienced and the events that ultimately led the government to take action in an effort to stabilize housing and financial markets. We describe the various resolution options available to policymakers at the time and evaluate the success of the choice of conservatorship, and other actions taken, in terms of five objectives that we argue an optimal intervention would have fulfilled. We conclude that the decision to take the firms into conservatorship and invest public funds achieved its short-run goals of stabilizing mortgage markets and promoting financial stability during a period of extreme stress. However, conservatorship led to tensions between maximizing the firms’ value and achieving broader macroeconomic objectives, and, most importantly, it has so far failed to produce reform of the U.S. housing finance system.

 This staff report provides a nice overview of the two companies since the financial crisis. I was particularly interested by a couple of sections. First, I found the discussion of receivership versus conservatorship helpful. Second, I liked how it outlined the five objectives for an optimal intervention:

(i) Fannie Mae and Freddie Mac would be enabled to continue their core securitization and guarantee functions as going concerns, thereby maintaining conforming mortgage credit supply.

(ii) The two firms would continue to honor their agency debt and mortgage-backed securities obligations, given the amount and widely held nature of these securities, especially in leveraged financial institutions, and the potential for financial instability in case of default on these obligations.

(iii) The value of the common and preferred equity in the two firms would be extinguished, reflecting their insolvent financial position.

(iv) The two firms would be managed in a way that would provide flexibility to take into account macroeconomic objectives, rather than just maximizing the private value of their assets.

(v) The structure of the rescue would prompt long-term reform and set in motion the transition to a better system within a reasonable period of time. (14-15)

You’ll have to read the paper to see how they evaluate the five objectives in greater detail.