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Wednesday, February 23, 2011

ATA Truck Tonnage Index increased in January

by Calculated Risk on 2/23/2011 06:22:00 PM

From the American Trucking Association: ATA Truck Tonnage Index Surged 3.8 Percent in January

The American Trucking Associations’ advance seasonally adjusted (SA) For-Hire Truck Tonnage Index increased 3.8 percent in January after rising a revised 2.5 percent in December 2010. The latest jump put the SA index at 117.1 (2000=100) in January, which was the highest level since January 2008. In December, the SA index equaled 112.7.
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ATA Chief Economist Bob Costello said that he was very pleased with January’s robust gain, especially considering the winter storms during the month. “Many fleets told us that freight was solid in January, although operations were as challenge due to the winter storms that hit large parts of the country.” Costello also stated that the latest tonnage numbers indicate that the economy is growing at a good clip early in 2011 and he expects a solid first half of the year. “At this point, the biggest threat is the recent run-up in oil prices, which could dampen consumer spending.”
ATA Truck Tonnage Index Click on map for graph gallery.

This graph from the ATA shows the Truck Tonnage Index since Jan 2007.

This is the highest level since January 2008 - and truck tonnage is increasing again after stalling out last spring and summer. I agree with Costello that the biggest short term threat to the economy is high oil prices.

Earlier posts on existing home sales and home prices:
January Existing Home Sales: 5.36 million SAAR, 7.6 months of supply
Existing Home Inventory increases 3.1% Year over Year
Real House Prices fall to 2000 Levels, Update on NAR Overstating Sales
Case-Shiller: National Home Prices Are Close to the 2009Q1 Trough
House Prices: Price-to-rent, Price-to-median Household Income

Real House Prices and the Unemployment Rate

by Calculated Risk on 2/23/2011 03:13:00 PM

Back in 2009, when the house price bottom callers were out in force, I pointed out that real house prices usually bottom after the unemployment rate peaks - and sometimes several years after the peak (like in the '90s).

Below is a comparison of real house prices and the unemployment rate using the Corelogic house price index (starts in 1976) and the Case-Shiller Composite 10 index (starts in 1987). Both indexes are adjusted by CPI less shelter.

House Prices and Unemployment Rate Click on image for larger graph in graph gallery.

The two previous national declines in real house prices are evident on the graph (early '80s and early '90s). The dashed green lines are drawn at the peak of the unemployment rate following the peak in house prices.

In the early '80s, real house prices declined until the unemployment rate peaked, and then increased sluggishly for a few years. Following the late 1980s housing bubble, real house prices declined for several years after the unemployment rate peaked.

Although there are periods when there is no relationship between the unemployment rate and house prices - like during the bursting of the stock market bubble - this graph suggests that house prices do not bottom in real terms until the unemployment rate has peaked - and probably not until a few years later (the recent housing bubble dwarfed the previous housing bubbles, and the bust will probably take some time).

Clearly this analysis was correct since real house prices are now at post-bubble lows! I'd expect real prices (inflation adjusted) to fall for another 2 or 3 years, even if nominal prices bottom in 2011.

Fed's Hoenig: Financial Reform: Post Crisis?

by Calculated Risk on 2/23/2011 02:02:00 PM

From Kansas City Fed President Thomas Hoenig: Financial Reform: Post Crisis?

Fifteen years ago, I gave a speech entitled “Rethinking Financial Regulation,” which summarized the major threats facing our financial system. My suggestion then was to take steps to reduce interdependencies among large institutions and to limit them to relatively safe activities if they chose to provide essential banking and payments services and be protected by the federal safety net. I also argued that safety net protection and public assistance should not be extended to large organizations extensively engaged in nontraditional and high-risk activities. A final point of those remarks was that central banks must pursue policies that preserve financial stability. I am going to repeat those suggestions today, and as often as the opportunity allows. History is on my side.

Today, I am convinced that the existence of too big to fail financial institutions poses the greatest risk to the U.S. economy. The incentives for risk-taking have not changed post-crisis and the regulatory factors that helped create the crisis remain in place. We must make the largest institutions more manageable, more competitive, and more accountable. We must break up the largest banks, and could do so by expanding the Volcker Rule and significantly narrowing the scope of institutions that are now more powerful and more of a threat to our capitalistic system than prior to the crisis.
I don't always agree with Hoenig, but I think he is correct about the large banks.

Earlier posts on existing home sales and home prices:
January Existing Home Sales: 5.36 million SAAR, 7.6 months of supply
Existing Home Inventory increases 3.1% Year over Year
Real House Prices fall to 2000 Levels, Update on NAR Overstating Sales
Case-Shiller: National Home Prices Are Close to the 2009Q1 Trough
House Prices: Price-to-rent, Price-to-median Household Income

Existing Home Inventory increases 3.1% Year over Year

by Calculated Risk on 2/23/2011 11:30:00 AM

Earlier the NAR released the existing home sales data for January; here are a couple more graphs ...

The first graph shows the year-over-year (YoY) change in reported existing home inventory and months-of-supply. Inventory is not seasonally adjusted, so it really helps to look at the YoY change.

IMPORTANT: On a seasonal basis, inventory usually bottoms in December and January, and then will start increasing again in February and March. Since the NAR "months-of-supply" metric uses Seasonally Adjusted (SA) sales, but Not Seasonally Adjusted (NSA) inventory, this seasonal decline in inventory leads to a lower "months-of-supply" in December and January.

The key is to recognize the seasonal pattern, and watch the YoY change in inventory.

Year-over-year Inventory Click on graph for larger image in graph gallery.

Although inventory decreased from December to January, inventory increased 3.1% YoY in January. This is the sixth consecutive month of year-over-year increases in inventory, although the increase in January was lower than the previous months. But any increase is bad news with the high level of inventory.

Inventory should increase in February and March, and this is something to watch closely over the next few months.

Existing Home Sales NSA By request - the second graph shows existing home sales Not Seasonally Adjusted (NSA).

The red column in January is for 2011.

Sales NSA were about the same level as the last three years. January is usually the weakest month of the year for existing home sales (followed by February). The real key is what happens in the spring and summer.

The bottom line: Sales increased slightly in January (using the old method to estimate sales), apparently due to an increase in investor purchases of distressed properties at the low end. The NAR noted "Investors accounted for 23 percent of purchases in January, up from 20 percent in December and 17 percent in January 2010 ... Distressed homes edged up to a 37 percent market share in January from 36 percent in December"

Inventory remains very high, and the year-over-year increase in inventory is very concerning.

January Existing Home Sales: 5.36 million SAAR, 7.6 months of supply

by Calculated Risk on 2/23/2011 10:00:00 AM

The NAR reports: January Existing-Home Sales

Existing-home sales, which are completed transactions that include single-family, townhomes, condominiums and co-ops, increased 2.7 percent to a seasonally adjusted annual rate of 5.36 million in January from a downwardly revised 5.22 million in December, and are 5.3 percent above the 5.09 million level in January 2010.
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Total housing inventory at the end of January fell 5.1 percent to 3.38 million existing homes available for sale, which represents a 7.6-month supply at the current sales pace, down from an 8.2-month supply in December. The inventory supply is at the lowest level since December 2009 when there was a 7.3-month supply.
Existing Home Sales Click on graph for larger image in new window.

This graph shows existing home sales, on a Seasonally Adjusted Annual Rate (SAAR) basis since 1993.

Sales in January 2010 (5.36 million SAAR) were 2.7% higher than last month, and were 5.3% higher than January 2010.

Existing Home InventoryThe second graph shows nationwide inventory for existing homes.

According to the NAR, inventory decreased to 3.38 million in January from 3.56 million in December.

Inventory is not seasonally adjusted and there is a clear seasonal pattern with inventory peaking in the summer and declining in the fall - and then really declining during the holidays. So this decline was expected. Inventory should start to increase again in February.

Existing Home Sales Months of SupplyThe last graph shows the 'months of supply' metric.

Months of supply decreased to 7.6 months in January from 8.2 months in December. The months of supply will probably increase over the next few months as sales slow a little, and inventory increases. This is still higher than normal.

These sales numbers were above the consensus of 5.2 million SAAR, and are above what I expected (Lawler's forecast was 5.17 million). I'll have more later.

Special Note: Back in January, I noted that it appeared the NAR had overestimated sales by 5% or so in 2007, and that the errors had increased since then (perhaps 10% or 15% or more in 2009 and 2010). I reported in January that the NAR was working on benchmarking existing home sales for earlier years with other industry data, and I expected "this effort will lead to significant downward revisions to previously reported sales". The numbers reported today were estimated using the old method and will probably be revised down significantly, but they are still useful on a month-to-month basis.