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Monday, July 29, 2013

Tuesday: Case-Shiller House Price Index

by Calculated Risk on 7/29/2013 09:48:00 PM

Some horrible reporting on the next Fed Chair decision, first from he usually excellent Binyamin Appelbaum and Annie Lowrey at the NY Times who wrote:

Richard W. Fisher, president of the Federal Reserve Bank of Dallas, said this year that if the president chose Ms. Yellen, the decision would be “driven by gender.”
What Fisher actually said (NY Times correction):
“It’s a presidential decision, and we’ll see if it is driven by gender or other considerations and so on. Janet is extremely capable. There are other capable people.”
And from the WSJ:
Nancy Pelosi has bellowed her support [for Yellen]
What Pelosi actually said:
I want to see whomever the President appoints.  Let me say that I think it would be great to have a woman, first woman chairman of the Fed. No question about it. Yellen would be, is extremely talented, it is not just that she is a woman. Larry Summers has been a patriotic leader in our country, working hard. ... Either one would make an excellent Chairman I'm sure.
Pretty poor reporting ...

Tuesday:
• At 9:00 AM ET, S&P/Case-Shiller House Price Index for May. Although this is the May report, it is really a 3 month average of March, April and May. The consensus is for a 12.3% year-over-year increase in the Composite 20 index (NSA) for May. The Zillow forecast is for the Composite 20 to increase 12.1% year-over-year, and for prices to increase 1.3% month-to-month seasonally adjusted.

• At 10:00 AM, the Conference Board's consumer confidence index for July. The consensus is for the index to decrease to 81.0 from 81.4.

• Also at 10:00 AM, the Q2 Housing Vacancies and Homeownership report from the Census Bureau. This report is frequently mentioned by analysts and the media to report on the homeownership rate, and the homeowner and rental vacancy rates. However, this report doesn't track with other measures (like the decennial Census and the ACS) and this survey probably shouldn't be used to estimate the excess vacant housing supply.