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Jamie Smith Hopkins: Live chat with housing economist/forecaster
 
11:36
Jamie -  Hello, everyone. We will be starting the live chat in less than a half-hour with housing economist/forecaster Celia Chen. Please submit your questions here about the housing market in the Baltimore region. While you wait, here's a short bio of Celia and a poll for you to weigh in on. Thanks! See you at noon.
11:37
Jamie -  A senior director of the Moody's Economy.com research staff, Celia Chen manages the company's regional house price forecast models, develops proprietary housing market indicators and writes extensively about housing issues. Chen earned her Ph.D. -- with a concentration in econometrics and international finance -- at the University of Pennsylvania.
11:37
12:01
Jamie -  Hi, everyone -- we're here. We're going to get this chat going shortly.
12:04
Jamie -  Sorry, folks, we've had technical difficulties. We just to Celia online.
12:04
[Comment From Celia ]
Hi Jamie. Glad to be here today!
12:05
Jamie -  Here we go -- first question.
12:06
[Comment From Little Debbie ]
How are your models hedging against overshooting a trajectory? What have you learned from past modeling errors (both at Moody's and elsewhere) that relied on simplistic trajectories, and why should newer models avoid past mistakes? How are you integrating a bottom-up approach with larger national/city stats? We all know the basic statistics that are driving several models downward, … but what are your three main hedges against overshooting a trajectory because of new trends that you don't anticipate or have trouble accounting for (e.g. possibility of write-downs, increased LEAP straddling on BBB CDO tranches, changes in presumed rational behavior, etc).
12:08
Celia -  Our model does account for the possibility of both overshooting and undershooting the equilibrium price, or the price that would be consistent with long term supply and demand drivers. The model uses past boom/bust cycles in housing to project the current cycle. In addition to a number of economic drivers, the model includes two factors that help control price cycles in the forecast. The first factor picks up the "simple trajectory", as you put it. It captures the tendency for prices to continue falling if they are falling and to continue increasing if they are increasing. The second factor is called the reversion to mean and will counter act the simple trajectory. This just means that if prices are falling for too long, they will be below the level supportable by the underlying economic drivers (like income, population growth). Homes will be cheap and people will start to buy them again, which will drive up house prices. We take a top down, bottom up approach to modeling. The difficulty in forecasting this time around, however, is that the severity of the cycle is unprecented.
12:08
[Comment From Carla ]
Will the $8,000 tax credit for homebuyers be around for 2010?
12:08
Celia -  Possibly, but don't hold your breath. The current program expires Decemeber 1. There are three bills currently under consideration in the House to extend the tax credits, at least one of them has mustered up decent support. However, it's been sitting around for at least two months without any further major action--not a good sign.
12:08
[Comment From Frank Rizzo ]
RealtyTrak announced foreclosures were up again this month to an all time high. How are we able to measure this "shadow inventory" when banks are holding on to properties to keep supply of REO's, short sales, foreclosures, etc. off the market?
12:09
Celia -  This is a good question and something I am struggling with as is most of the industry. As far as I can tell, there are no good measures of shadow inventory. Even the definition differs as some analysts include homeowners who would like to sell their homes but are staying out of the market because they perceive it as being so weak.
12:10
[Comment From Sam ]
I would like to know what is the Forcast for California (Mostly Bay area) housing. It would be good to break down the forcast in terms of Inventory/Prices/Forclosure.
12:10
Celia -  We have a forecast for house prices in California metropolitan area divisions. Since the top of the housing boom, prices have fallen by 29% and 49% in the San Francisco and Oakland metro divisions. We expect prices to fall another 13% and 15% before they bottom. The total peak-to-trough decline will be 39% and 57%. These forecasts are based on the Case-Shiller House® price indexes.
12:11
[Comment From Whirrrp ]
How is the market for higher priced homes in Baltimore city? How long have they been sitting on the market compared to homes in the under 250k range and is it fair to suggest that they are over-valued? I'm asking this question in light of the 8000 tax break for first time home owners. In my neighborhood I've noticed most homes have been selling for under 250 but anything over that is sitting for months or even years, as some were homes that sold for 500k in 2005. In other words, if someone buys a house that is priced @ 200k today, is it possible that that the value will fall if the higher priced homes go into foreclosure starting this fall?
12:12
Celia -  It seems that the lower end of the housing market is doing a bit better than the high end recently. Several factors are constraining the high end market vis-à-vis the low end. First, as you note, the first time homebuyer tax credit aids lower priced homes more. Second, the housing correction thus far has hit lower priced homes more greatly as well, pulling down house prices in that end more significantly and thus making them more affordable. Foreclosures have tended to hit lower-priced homes more as well, another force that is making the low-end more of a bargain. Finally, financing is harder for expensive homes. Your second question asks how the high-end market affects the low end. Usually we see that a weak low-end market weakens the high-end market as fewer first time homebuyers means that its harder for a current owner to trade-up to a more expensive home. The causality running the other direction is probably not as strong, but if the higher end market is weak, it will probably depress the lower end market a bit as well.
12:13
[Comment From Mike Burke ]
Has the risk of pandemic influenza to the housing situation been modeled? Increased morbidity will reduce incomes/disposable incomes, and increased mortality will likely increase the inventory of housing available.
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