by Calculated Risk on 5/10/2014 07:09:00 AM

This is an unofficial list of Problem Banks compiled only from public sources.

Here is the unofficial problem bank list for May 9, 2014.

Changes and comments from surferdude808:

Very unusual week for the Unofficial Problem Bank List as there are no changes to report. So the total remains at 509 institutions with assets of $163.3 billion.

While activity slows between the end of the month update of the FDIC and the mid-month update of the OCC, there normally is a news report of an action termination or an exit through merger or failure to report. This is only the fifth week since the publication of the list that no changes have occurred with the last being the week ending November 23, 2012.

Next Friday, the OCC should release an update on its recent actions. By the end of the month, along with a release on its recent enforcement action activity, the FDIC should release Q1 industry results and updated Official Problem Bank figures. It has been ten weeks since the last release of the official figures and the difference between the unofficial (then 566, now 502) and official lists (467) has been reduced from 99 to 42 institutions.

by Calculated Risk on 5/09/2014 03:10:00 PM

Here is something different, but it is important when looking at demographics ...

The following data is from the CDC United States Life Tables, 2009 by Elizabeth Arias released earlier this year.

The most frequently used life table statistic is life expectancy (ex), which is the average number of years of life remaining for persons who have attained a given age (x). ... Another way of assessing the longevity of the period life table cohort is by determining the proportion that survives to specified ages. ... To illustrate, 56,572 persons out of the original 2009 hypothetical life table cohort of 100,000 (or 56.6%) were alive at exact age 80. In other words, the probability that a person will survive from birth to age 80, given 2009 age-specific mortality, is 56.6%.
emphasis added

Instead of look at life expectancy, here is a graph of survivors out of 100,000 born alive, by age for three groups: those born in 1900-1902, born in 1949-1951 (baby boomers), and born in 2009.

Click on graph for larger image.

There was a dramatic change between those born in 1900 (blue) and those born mid-century (orange). The risk of infant and early childhood deaths dropped sharply, and the risk of death in the prime working years also declined significantly.

The CDC is projecting further improvement for childhood and prime working age for those born in 2009, but they are also projecting that people will live longer.

The second graph uses the same data but looks at the number of people who die before a certain age, but after the previous age. As an example, for those born in 1900 (blue), 12,448 of the 100,000 born alive died before age 1, and another 5,748 died between age 1 and age 5.

The peak age for deaths didn't change much for those born in 1900 and 1950 (between 76 and 80, but many more people born in 1950 will make it). 

Now the CDC is projection the peak age for deaths - for those born in 2009 - will increase to 86 to 90!  Using these stats - for those born in 2014 - about half will make it to the next century.

Also the number of deaths for those younger than 20 will be very small (down to mostly accidents, guns, and drugs).  Self-driving cars might reduce the accident components of young deaths.

An amazing statistic: for those born in 1900, about 13 out of 100,000 made it to 100.  For those born in 1950, 199 are projected to make to 100 - an significant increase.   Now the CDC is projecting that 2,056 out of 100,000 born in 2009 will make it to 100.  Stunning!

Some people look at this data and worry about supporting all the old people.  To me, this is all great news - the vast majority of people can look forward to a long life - with fewer people dying in childhood or during their prime working years.  Awesome!

by Calculated Risk on 5/09/2014 12:03:00 PM

From HotelNewsNow.com: STR: US hotel results for week ending 3 May

In year-over-year measurements, the industry’s occupancy increased 7.5 percent to 67.4 percent. Average daily rate increased 5.6 percent to finish the week at US$116.41. Revenue per available room for the week was up 13.6 percent to finish at US$78.42.
emphasis added

Note: ADR: Average Daily Rate, RevPAR: Revenue per Available Room.

The 4-week average of the occupancy rate is solidly above the median for 2000-2007, and is at the highest level since 2000. 

The following graph shows the seasonal pattern for the hotel occupancy rate for the last 15 years using the four week average.

Click on graph for larger image.

The red line is for 2014 and black is for 2009 - the worst year since the Great Depression for hotels.  Note: 2001 was briefly worse than 2009 in September.

Year 2000 was the best year for hotel occupancy until late in the year when 2005 had the highest occupancy rate (due to hurricane Katrina).

Right now it looks like 2014 will be the best year since 2000 for hotels.

Data Source: Smith Travel Research, Courtesy of HotelNewsNow.com

by Calculated Risk on 5/09/2014 10:00:00 AM

From the BLS: Job Openings and Labor Turnover Summary

There were 4.0 million job openings on the last business day of March, little changed from 4.1 million in February, the U.S. Bureau of Labor Statistics reported today. ...
...
Quits are generally voluntary separations initiated by the employee. Therefore, the quits rate can serve as a measure of workers’ willingness or ability to leave jobs. ... The number of quits (not seasonally adjusted) increased over the 12 months ending in March for total nonfarm and total private. The quits level was little changed in government.

The following graph shows job openings (yellow line), hires (dark blue), Layoff, Discharges and other (red column), and Quits (light blue column) from the JOLTS.

This series started in December 2000.

Note: The difference between JOLTS hires and separations is similar to the CES (payroll survey) net jobs headline numbers. This report is for March, the most recent employment report was for April.

Click on graph for larger image.

Note that hires (dark blue) and total separations (red and light blue columns stacked) are pretty close each month. This is a measure of labor market turnover.  When the blue line is above the two stacked columns, the economy is adding net jobs - when it is below the columns, the economy is losing jobs.

Jobs openings decreased in March to 4.014 million from 4.125 million in February.   

The number of job openings (yellow) are up 3.5% year-over-year compared to March 2013.

Quits increased in March and are up sharply year-over-year. These are voluntary separations. (see light blue columns at bottom of graph for trend for "quits").

Not much changes month-to-month in this report - and the data is noisy month-to-month, but the general trend suggests a gradually improving labor market.  It is a good sign that job openings are over 4 million for the second consecutive month, and that quits are increasing.

by Calculated Risk on 5/08/2014 08:01:00 PM

Q1 GDP looks worse. Q2 GDP looks better. A couple of short excerpts ...

From the WSJ on Q1: Trade Data Indicate Economy Contracted

J.P. Morgan Chase economists now estimate GDP contracted at a 0.8% pace in the first three months of 2014. Macroeconomic Advisers pegged the decline at 0.6%. Even some of the more optimistic estimates point to slight output shrinkage in the first quarter. Barclays Capital economists see a 0.2% decline and BNP Paribas put the GDP drop at a 0.1% pace.

And on Q2 from the WSJ: Economists See Growth Rebound

According to The Wall Street Journal's May survey of 48 economists, the consensus forecast is for annualized real growth in gross domestic product of 3.3%, better than the 3% pace projected in the April survey. ... Nine in the Journal's survey are forecasting second-quarter growth of 4% or better.

Q2 should be solid.

Friday:
• At 10:00 AM ET, the Job Openings and Labor Turnover Survey for March from the BLS. In February, the number of job openings were up 4% year-over-year compared to February 2013, and Quits were up about 5% year-over-year.

• Also at 10:00 AM, Monthly Wholesale Trade: Sales and Inventories for March. The consensus is for a 0.5% increase in inventories.