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Tuesday, January 19, 2016

ATA Trucking Index increased 1% in December

by Calculated Risk on 1/19/2016 02:31:00 PM

From the ATA: ATA Truck Tonnage Index Increased 1% in December

American Trucking Associations’ advanced seasonally adjusted For-Hire Truck Tonnage Index increased 1% in December, following a decrease of 0.9% during November. In December, the index equaled 135.6 (2000=100), up from 134.3 in November, and 0.1% below the all-time high of 135.8 reached in January 2015.

Compared with December 2014, the SA index increased 1.1%, which was better than November’s 0.2% year-over-year gain. For all of 2015, compared with 2014, tonnage was up 2.6%.
...
“Tonnage ended 2015 on a strong note, but it was not strong for the year as a whole,” said ATA Chief Economist Bob Costello. “With year-over-year gains averaging just 1.2% over the last four months, there was a clear deceleration in truck tonnage.

“At the expense of sounding like a broken record, I remain concerned about the high level of inventories throughout the supply chain. The total business inventory-to-sales record is at the highest level in over a decade, excluding the Great Recession period. This will have a negative impact on truck freight volumes over the next few months at least. And, this inventory cycle is overriding any strength from consumer spending and housing at the moment” he said.

Trucking serves as a barometer of the U.S. economy, representing 68.8% of tonnage carried by all modes of domestic freight transportation, including manufactured and retail goods. Trucks hauled just under 10 billion tons of freight in 2014. Motor carriers collected $700.4 billion, or 80.3% of total revenue earned by all transport modes.
emphasis added
ATA Trucking Click on graph for larger image.

Here is a long term graph that shows ATA's For-Hire Truck Tonnage index.

The dashed line is the current level of the index.

The index is now up only 1.1% year-over-year.

Existing Home Sales: Take the Over

by Calculated Risk on 1/19/2016 11:52:00 AM

A short note: The NAR will report December Existing Home Sales on Friday, January 22nd at 10:00 AM.

The consensus, according to Bloomberg, is that the NAR will report sales of 5.19 million. Housing economist Tom Lawler estimates the NAR will report sales of 5.36 million on a seasonally adjusted annual rate (SAAR) basis, up from 4.76 million SAAR in November.

Based on Lawler's estimate, I'd take the "over" on Friday.

Note:  Lawler is not always right on, but he is usually pretty close.  See this post for a review of Lawler's track record.

NAHB: Builder Confidence unchanged at 60 in January

by Calculated Risk on 1/19/2016 10:05:00 AM

The National Association of Home Builders (NAHB) reported the housing market index (HMI) was at 60 in January, unchanged from December (revised). Any number above 50 indicates that more builders view sales conditions as good than poor.

From the NAHB: Builder Confidence Holds Firm in January

Builder confidence in the market for newly-built single-family homes held steady at 60 in January from a downwardly revised December reading of 60 on the National Association of Home Builders/Wells Fargo Housing Market Index.

“After eight months hovering in the low 60s, builder sentiment is reflecting that many markets continue to show a gradual improvement, which should bode well for future home sales in the year ahead,” said NAHB Chairman Tom Woods, a home builder from Blue Springs, Mo.

“January’s HMI reading is right in line with our forecast of modest growth for housing,” said NAHB Chief Economist David Crowe. “The economic outlook remains promising, as consumers regain confidence and home values increase, which will help the housing market move forward.”
...
The HMI component gauging current sales condition rose two points 67 in January. The index measuring sales expectations in the next six months fell three points to 63, and the component charting buyer traffic dropped two points to 44.

Looking at the three-month moving averages for regional HMI scores, all four regions registered slight declines. The Northeast, Midwest and West each posted a one-point decline to 49, 57 and 75, respectively, while the South fell two points to 61.
emphasis added
HMI and Starts Correlation Click on graph for larger image.

This graph show the NAHB index since Jan 1985.

This was below the consensus forecast of 62, but still a strong reading.

Monday, January 18, 2016

Monday Night Futures

by Calculated Risk on 1/18/2016 09:03:00 PM

Note: China's GDP was reported at 6.9% year-over-year, at expectations.

Weekend:
Schedule for Week of January 17, 2016

Lawler: Early Read on Existing Home Sales in December and Post-Mortem on November

Update: Predicting the Next Recession

Monday:
• At 10:00 AM ET, the January NAHB homebuilder survey. The consensus is for a reading of 62, up from 61 in December. Any number above 50 indicates that more builders view sales conditions as good than poor.

From CNBC: Pre-Market Data and Bloomberg futures: currently S&P futures are up 12 and DOW futures are up 120 (fair value).

Oil prices were down sharply over the last week with WTI futures at $29.20 per barrel (lowest since 2003) and Brent at $28.83 per barrel (lowest since 2003).  A year ago, WTI was at $47, and Brent was at $48 - so prices are down about 40% year-over-year.

Here is a graph from Gasbuddy.com for nationwide gasoline prices. Nationally prices are at $1.89 per gallon (down about $0.20 per gallon from a year ago).  Gasoline prices should decline over the next few weeks based on the sharp decline in oil prices.

Lawler: Early Read on Existing Home Sales in December and Post-Mortem on November

by Calculated Risk on 1/18/2016 03:35:00 PM

From housing economist Tim Lawler:

Based on publicly-available local realtor/MLS reports released across the country through today, I project that existing home sales as estimated by the National Association of Realtors ran at a seasonally adjusted annual rate of 5.36 million in December, up 12.6% from November’s preliminary pace and up 5.7% from last Decembers seasonally adjusted pace. The bounce back in sales from November’s “shockingly” low pace – which occurred in many but by no means all markets across the country – strongly suggests that the new “TRID” disclosure rules and/or documents artificially depressed the pace of home sales in November – though by the same token they may have artificially inflated slightly the pace of sales in December.

As noted above, the bounce-back in sales last month was not only uneven across the country, but uneven even across different markets in the same state. Here are a few examples (the YOY increase in sales are based on preliminary reports).

YOY % Change, Home Sales
  Nov-15Dec-15
North Texas8.7%20.1%
Houston-10.5%-9.3%
Triangle Region-1.0%13.1%
Charlotte-3.3%-2.6%
Toledo-7.0%16.0%
Columbus4.0%6.0%
Tucson3.5%15.9%
Phoenix6.5%3.8%

On the inventory front, I forecast that the inventory of existing home sales at the end of December as estimated by the National Association of Realtors will be 1.81 million, down 11.3% from November’s preliminary level and down 2.7% from last December. Finally I expect that the NAR’s estimate of the median existing SF home sales price for December will be up 6.7% from last December.

CR Note: Existing home sales for December will be released on Friday, and the consensus is for sales of 5.19 million SAAR.

And from Lawler: Post-Mortem on November Existing Home Sales ...

In its report on November home sales released on December 22nd, the National Association of Realtors estimated that US existing home sales ran at a seasonally adjusted annual rate of 4.76 million, down 10.5% from October’s downwardly-revised (to 5.32 million from 5.36 million) pace and down 3.8% from last November’s seasonally adjusted pace. The NAR estimated that unadjusted sales in November were unchanged from a year earlier. The NAR’s estimate was massively lower than the “consensus” forecast (5.32 million SAAR), but was also below my projection (4.97 million SAAR) from December 15th based on publicly-available realtor/MLS reports released through that date. My projection for unadjusted November sales based on regional tracking through December 15th was for a YOY gain of 2.4% (so obviously I underestimated the YOY increase in the November seasonal factor).

There have been numerous local realtor/MLS reports for November released since mid-December, and based on these reports (which comprise over 230,000 sales), I would estimate that “national” existing home sales in November on an unadjusted basis were up by just 1.3% from last November’s surprisingly slow pace, and just a bit higher than the NAR’s estimate. Any way you slice it, then, the pace of existing home sales in November was, on a seasonally adjusted basis, massively slower than in the Spring and Summer.

There is a pretty broad consensus that implementation of new mortgage disclosure rules and closing documents, which went into effect in early October, delayed some home closings in November and as such were behind some of the steep drop-off in sales, though it is difficult to quantify this impact (though any impact appears to have varied considerably across various markets). One reason for this consensus is that there was no plunge in various measures of pending home sales – though the NAR’s Pending Home Sales Index has been trending downward since May.

Pending vs Closed Home Sales

It is worth noting, of course, that the NAR’s Pending Home Sales Index has not been a great predictor of monthly home sales of late. These are several reasons for the “imperfect” linkage: first, of course, monthly data don’t give any indication of the intra-monthly pattern of signed contracts; second, contract “fallout” rates can vary; third, the NAR’s “sample size” for pending home sales is only half as large as that for closed sales; and finally, “data quality” issues are more significant in the pending home sales statistics than in the closed home sales statistics1.

Nevertheless, if in fact the new disclosure/closing rules and documents were behind much of the plunge in November home sales, then one would expect to see a sharp snap back in sales in December.

1This was especially apparent in the NAR’s Pending Home Sales Index in the West, which I noted in 2014 looked “just plain wrong.” Early last year the NAR made massive revisions in it Pending Home Sales Index for the West that now look more reasonable.

Update: Predicting the Next Recession

by Calculated Risk on 1/18/2016 10:49:00 AM

CR 2016 Update: In 2013, I wrote a post "Predicting the Next Recession". I repeated the post in January 2015 (and last summer) because of all the recession calls. Now, once again, the recession callers are out in force - this time arguing the problems in China, combined with the impact on oil producers of lower oil prices (and defaults by energy companies) - will lead to a global recession and drag the US into recession.  I don't think so.

I've added a few updates in italics by year (some updates are from 2015).  Most of the text is from January 2013.


A few thoughts on the "next recession" ... Forecasters generally have a terrible record at predicting recessions. There are many reasons for this poor performance. In 1987, economist Victor Zarnowitz wrote in "The Record and Improvability of Economic Forecasting" that there was too much reliance on trends, and he also noted that predictive failure was also due to forecasters' incentives. Zarnowitz wrote: "predicting a general downturn is always unpopular and predicting it prematurely—ahead of others—may prove quite costly to the forecaster and his customers".

Incentives motivate Wall Street economic forecasters to always be optimistic about the future (just like stock analysts). Of course, for the media and bloggers, there is an incentive to always be bearish, because bad news drives traffic (hence the prevalence of yellow journalism).

In addition to paying attention to incentives, we also have to be careful not to rely "heavily on the persistence of trends". One of the reasons I focus on residential investment (especially housing starts and new home sales) is residential investment is very cyclical and is frequently the best leading indicator for the economy. UCLA's Ed Leamer went so far as to argue that: "Housing IS the Business Cycle". Usually residential investment leads the economy both into and out of recessions. The most recent recovery was an exception, but it was fairly easy to predict a sluggish recovery without a contribution from housing.

Since I started this blog in January 2005, I've been pretty lucky on calling the business cycle.  I argued no recession in 2005 and 2006, then at the beginning of 2007 I predicted a recession would start that year (made it by one month with the Great Recession starting in December 2007).  And in 2009, I argued the economy had bottomed and we'd see sluggish growth.

Finally, over the last 18 months, a number of forecasters (mostly online) have argued a recession was imminent.  I responded that I wasn't even on "recession watch", primarily because I thought residential investment was bottoming.

[CR 2015 Update: this was written two years ago - I'm not sure if those calling for a recession then have acknowledged their incorrect forecasts and / or changed theirs views (like ECRI and various bloggers). Clearly they were wrong.]

[CR 2016 Update: Now it has been three years!  And yes, ECRI has admitted their recession calls were incorrect.  Not sure about the rest of the recession callers.]

Now one of my blogging goals is to see if I can get lucky again and call the next recession correctly.  Right now I'm pretty optimistic (see: The Future's so Bright ...) and I expect a pickup in growth over the next few years (2013 will be sluggish with all the austerity).

[CR  2016 Update: 2013 was a little better than I expected, but still sluggish. 2014 and 2015 saw some pickup in growth.]

The next recession will probably be caused by one of the following (from least likely to most likely):

3) An exogenous event such as a pandemic, significant military conflict, disruption of energy supplies for any reason, a major natural disaster (meteor strike, super volcano, etc), and a number of other low probability reasons. All of these events are possible, but they are unpredictable, and the probabilities are low that they will happen in the next few years or even decades.

[CR 2016 Update: The current recession calls are mostly based on exogenous events: the problems in China and in commodity based economies (especially oil based).  There will be some spillover to the US such as fewer exports (and an impact on oil producing regions in the US), but unless there is a related financial crisis, I think the spillover will be insufficient to cause a recession in the US.]

2) Significant policy error. This might involve premature or too rapid fiscal or monetary tightening (like the US in 1937 or eurozone in 2012).  Two examples: not reaching a fiscal agreement and going off the "fiscal cliff" probably would have led to a recession, and Congress refusing to "pay the bills" would have been a policy error that would have taken the economy into recession.  Both are off the table now, but there remains some risk of future policy errors. 

Note: Usually the optimal path for reducing the deficit means avoiding a recession since a recession pushes up the deficit as revenues decline and automatic spending (unemployment insurance, etc) increases.  So usually one of the goals for fiscal policymakers is to avoid taking the economy into recession. Too much austerity too quickly is self defeating.

[CR 2016 Update: Most of the poor policy choices in the U.S. are behind us. Austerity hurt the recovery, but austerity appears over at the state, local and Federal levels.  It is possible the Fed could tighten too quickly. ]

1) Most of the post-WWII recessions were caused by the Fed tightening monetary policy to slow inflation. I think this is the most likely cause of the next recession. Usually, when inflation starts to become a concern, the Fed tries to engineer a "soft landing", and frequently the result is a recession. Since inflation is not an immediate concern, the Fed will probably stay accommodative for a few more years.

So right now I expect further growth for the next few years (all the austerity in 2013 concerns me, especially over the next couple of quarters as people adjust to higher payroll taxes, but I think we will avoid contraction). [CR 2015 Update: We avoided contraction in 2013!] I think the most likely cause of the next recession will be Fed tightening to combat inflation sometime in the future - and residential investment (housing starts, new home sales) will probably turn down well in advance of the recession. In other words, I expect the next recession to be a more normal economic downturn - and I don't expect a recession for a few years.

[CR 2016 Update: This was written in 2013 - and my prediction for no "recession for a few years" was correct.  This still seems correct today, so no recession this year.]

Sunday, January 17, 2016

Hamilton: "World oil supply and demand"

by Calculated Risk on 1/17/2016 08:40:00 PM

Oil prices are still declining with Brent falling below $28 today.

Here a few excerpts from an article by Professor James Hamilton: World oil supply and demand

According to the Energy Information Administration’s Monthly Energy Review database, world field production of crude oil in September was up 1.5 million barrels a day over the previous year. More than all of that came from a 440,000 b/d increase in the U.S., 550,000 b/d from Saudi Arabia, and 900,000 b/d from Iraq. If it had not been for the increased oil production from these three countries, world oil production would actually have been down almost 400,000 b/d over the last year.
...
Since I last updated these calculations in September, the dollar has appreciated 3% against our major trading partners, and the price of copper has fallen 16%. Based on a weekly historical regression of oil prices on these variables along with the 10-year Treasury yield, we would have predicted a 10% drop in the price of WTI from $46/barrel in $41.50 today on the basis of changes in the exchange rate, copper price, and interest rates since September, explaining about a third of the drop in oil prices since September from international factors that are not unique to oil markets.

Bob Barbera discussed the role of slowing world GDP growth as one of those factors. His graph below shows that the observed slowdown in world GDP since 2010 ... could easily account for much of the drop in commodity prices through 2014. Barbera speculates on the basis of the numbers for Chinese rail shipments and electricity production that the true Chinese GDP growth for 2015 may have been significantly below the country’s official target of 7%. ...
...
If Iranian production is about to surge, Iraqi production remains high, and the Chinese economy is stumbling, that can only mean that even bigger drops in U.S. oil production are inevitable.

Bank Failures by Year

by Calculated Risk on 1/17/2016 11:34:00 AM

In 2015, eight FDIC insured banks failed. This was the lowest level since 2007.

Most of the great recession / housing bust / financial crisis related failures are behind us.

However there might be an increase in energy related bank failures over the next couple of years.

The first graph shows the number of bank failures per year since the FDIC was founded in 1933.

FDIC Bank Failures Click on graph for larger image.

Typically about 7 banks fail per year, so the 8 failures in 2015 was close to normal.

Note: There were a large number of failures in the '80s and early '90s. Many of these failures were related to loose lending, especially for commercial real estate.  A large number of the failures in the '80s and '90s were in Texas with loose regulation.

Even though there were more failures in the '80s and early '90s, the recent financial crisis was much worse (large banks failed and were bailed out).

Pre-FDIC Bank Failures The second graph includes pre-FDIC failures. In a typical year - before the Depression - 500 banks would fail and the depositors would lose a large portion of their savings.

Then, during the Depression, thousands of banks failed. Note that the S&L crisis and recent financial crisis look small on this graph.

Saturday, January 16, 2016

Schedule for Week of January 17, 2016

by Calculated Risk on 1/16/2016 08:11:00 AM

The key economic reports this week are December housing starts on Wednesday, and December Existing Home Sales on Friday.

For prices, CPI will be released on Wednesday.

----- Monday, January 18th -----

All US markets will be closed in observance of the Martin Luther King Jr. Day

----- Tuesday, January 19th -----

10:00 AM: The January NAHB homebuilder survey. The consensus is for a reading of 62, up from 61 in December.  Any number above 50 indicates that more builders view sales conditions as good than poor.

----- Wednesday, January 20th -----

7:00 AM ET: The Mortgage Bankers Association (MBA) will release the results for the mortgage purchase applications index.

8:30 AM: The Consumer Price Index for December from the BLS. The consensus is for no changed in CPI, and a 0.2% increase in core CPI.

Total Housing Starts and Single Family Housing Starts8:30 AM: Housing Starts for December.

Total housing starts increased to 1.173 million (SAAR) in November. Single family starts increased to 768 thousand SAAR in November.

The consensus for 1.198 million, up from November.

During the day: The AIA's Architecture Billings Index for December (a leading indicator for commercial real estate).

----- Thursday, January 21st -----

8:30 AM: The initial weekly unemployment claims report will be released.  The consensus is for 275 thousand initial claims, down from 284 thousand the previous week.

10:00 AM: the Philly Fed manufacturing survey for January. The consensus is for a reading of -4.0, up from -5.9.

----- Friday, January 22nd -----

8:30 AM ET: Chicago Fed National Activity Index for December. This is a composite index of other data.

Existing Home Sales10:00 AM: Existing Home Sales for December from the National Association of Realtors (NAR). The consensus is for 5.19 million SAAR, up from 4.76 million in November.

Friday, January 15, 2016

FNC: Residential Property Values increased 6.0% year-over-year in November

by Calculated Risk on 1/15/2016 06:29:00 PM

In addition to Case-Shiller, and CoreLogic, I'm also watching the FNC, Zillow and several other house price indexes.

FNC released their November 2015 index data.  FNC reported that their Residential Price Index™ (RPI) indicates that U.S. residential property values were unchanged from October to November (Composite 100 index, not seasonally adjusted). 

The 10 city MSA increased 0.5% (NSA), the 20-MSA RPI increased 0.2%, and the 30-MSA RPI increased 0.1% in November. These indexes are not seasonally adjusted (NSA), and are for non-distressed home sales (excluding foreclosure auction sales, REO sales, and short sales).

Notes: In addition to the composite indexes, FNC presents price indexes for 30 MSAs. FNC also provides seasonally adjusted data.

The index is still down 14.5% from the peak in 2006 (not inflation adjusted).

Click on graph for larger image.

This graph shows the year-over-year change based on the FNC index (four composites) through November 2015. The FNC indexes are hedonic price indexes using a blend of sold homes and real-time appraisals.

Most of the other indexes are also showing the year-over-year change in the mid single digit range.

Note: The November Case-Shiller index will be released on Tuesday, January 26th.