Thursday, May 9, 2019

Deflation Probabilities – May 9, 2019 Update

While I do not agree with the current readings of the measure – I think the measure dramatically understates the probability of deflation, as measured by the CPI – the Federal Reserve Bank of Atlanta maintains an interesting data series titled “Deflation Probabilities.”
As stated on the site:
Using estimates derived from Treasury Inflation-Protected Securities (TIPS) markets, described in a technical appendix, this weekly report provides two measures of the probability of consumer price index (CPI) deflation through 2023.
A chart shows the trends of the probabilities.  As one can see in the chart, the readings are volatile.
As for the current weekly reading, the May 9, 2019 update states the following:
The 2018–23 deflation probabilities has remained at 0 percent through May 8 after falling from 5 percent to 0 percent on February 13 following the release of the Consumer Price Index (CPI) from the U.S. Bureau of Labor Statistics and the incorporation of revised seasonal adjustment factors for the CPI. The 2019-24 deflation has been 0 percent from its initial April 23 estimate through May 8. These deflation probabilities, measuring the likelihoods of net declines in the consumer price index over the five-year periods starting in early 2018 and early 2019, are estimated from prices of the five-year Treasury Inflation-Protected Securities (TIPS) issued in April 2018 and April 2019 and the 10-year TIPS issued in July 2013 and July 2014.
_________
I post various economic indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this site are aware, I do not necessarily agree with what they depict or imply.
_____
The Special Note summarizes my overall thoughts about our economic situation
SPX at 2870.72 as this post is written

Wednesday, May 8, 2019

Chicago Fed National Financial Conditions Index (NFCI)

The St. Louis Fed’s Financial Stress Index (STLFSI) is one index that is supposed to measure stress in the financial system.  Its reading as of the May 2, 2019 update (reflecting data through April 26, 2019) is -1.336.
Of course, there are a variety of other measures and indices that are supposed to measure financial stress and other related issues, both from the Federal Reserve as well as from private sources.
Two other indices that I regularly monitor include the Chicago Fed National Financial Conditions Index (NFCI) as well as the Chicago Fed Adjusted National Financial Conditions Index (ANFCI).
Here are summary descriptions of each, as seen in FRED:
The National Financial Conditions Index (NFCI) measures risk, liquidity and leverage in money markets and debt and equity markets as well as in the traditional and “shadow” banking systems. Positive values of the NFCI indicate financial conditions that are tighter than average, while negative values indicate financial conditions that are looser than average.
The adjusted NFCI (ANFCI). This index isolates a component of financial conditions uncorrelated with economic conditions to provide an update on how financial conditions compare with current economic conditions.
For further information, please visit the Federal Reserve Bank of Chicago’s web site:
Below are the most recently updated charts of the NFCI and ANFCI, respectively.
The NFCI chart below was last updated on May 8, 2019 incorporating data from January 8, 1971 through May 3, 2019, on a weekly basis.  The May 3 value is -.87:
NFCI
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis; accessed May 8, 2019: 
http://research.stlouisfed.org/fred2/series/NFCI
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The ANFCI chart below was last updated on May 8, 2019 incorporating data from January 8, 1971 through May 3, 2019, on a weekly basis.  The May 3 value is -.69:
ANFCI
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis; accessed May 8, 2019: 
http://research.stlouisfed.org/fred2/series/ANFCI
_________
I post various indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this site are aware, I do not necessarily agree with what they depict or imply.
_____
The Special Note summarizes my overall thoughts about our economic situation
SPX at 2884.18 as this post is written

Building Financial Danger – May 8, 2019 Update

My overall analysis indicates a continuing elevated and growing level of financial danger which contains many worldwide and U.S.-specific “stresses” of a very complex nature. I have written numerous posts in this site concerning both ongoing and recent “negative developments.”  These developments, as well as other exceedingly problematic conditions, have presented a highly perilous economic environment that endangers the overall financial system.
Also of ongoing immense importance is the existence of various immensely large asset bubbles, a subject of which I have extensively written.  While all of these asset bubbles are wildly pernicious and will have profound adverse future implications, hazards presented by the bond market bubble are especially notable.
Predicting the specific timing and extent of a stock market crash is always difficult, and the immense complexity of today’s economic situation makes such a prediction even more challenging. With that being said, my analyses continue to indicate that a near-term exceedingly large (from an ultra-long term perspective) stock market crash – that would also involve (as seen in 2008) various other markets as well – will occur.
(note: the “next crash” and its aftermath has great significance and implications, as discussed in the post of January 6, 2012 titled “The Next Crash And Its Significance“ and various subsequent posts in the “Economic Depression” category)
As reference, below is a daily chart since 2008 of the S&P500 (through May 7, 2019 with a last price of 2884.05), depicted on a LOG scale, indicating both the 50dma and 200dma as well as price labels:
(click on chart to enlarge image)(chart courtesy of StockCharts.com; chart creation and annotation by the author)
chart of S&P500 since 2008
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The Special Note summarizes my overall thoughts about our economic situation
SPX at 2884.05 as this post is written

Monday, May 6, 2019

Recession Probability Models – May 2019

There are a variety of economic models that are supposed to predict the probabilities of recession.
While I don’t agree with the methodologies employed or probabilities of impending economic weakness as depicted by the following two models, I think the results of these models should be monitored.
Please note that each of these models is updated regularly, and the results of these – as well as other recession models – can fluctuate significantly.
The first is the “Yield Curve as a Leading Indicator” from the New York Federal Reserve.  I wrote a post concerning this measure on March 1, 2010, titled “The Yield Curve as a Leading Indicator.”
Currently (last updated May 2, 2019 using data through April) this “Yield Curve” model shows a 27.4893% probability of a recession in the United States twelve months ahead.  For comparison purposes, it showed a 27.0796% probability through March, and a chart going back to 1960 is seen at the “Probability Of U.S. Recession Predicted by Treasury Spread.” (pdf)
The second model is from Marcelle Chauvet and Jeremy Piger.  This model is described on the St. Louis Federal Reserve site (FRED) as follows:
Smoothed recession probabilities for the United States are obtained from a dynamic-factor markov-switching model applied to four monthly coincident variables: non-farm payroll employment, the index of industrial production, real personal income excluding transfer payments, and real manufacturing and trade sales. This model was originally developed in Chauvet, M., “An Economic Characterization of Business Cycle Dynamics with Factor Structure and Regime Switching,” International Economic Review, 1998, 39, 969-996. (http://faculty.ucr.edu/~chauvet/ier.pdf)
Additional details and explanations can be seen on the “U.S. Recession Probabilities” page.
This model, last updated on May 1, 2019 currently shows a 1.94% probability using data through March.
Here is the FRED chart (last updated May 1, 2019):
Smoothed U.S. Recession Probabilities
Data Source:  Piger, Jeremy Max and Chauvet, Marcelle, Smoothed U.S. Recession Probabilities [RECPROUSM156N], retrieved from FRED, Federal Reserve Bank of St. Louis, accessed May 6, 2019: 
http://research.stlouisfed.org/fred2/series/RECPROUSM156N
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The two models featured above can be compared against measures seen in recent posts.  For instance, as seen in the April 11, 2019 post titled “The April 2019 Wall Street Journal Economic Forecast Survey“ economists surveyed averaged a 25.80% probability of a U.S. recession within the next 12 months.
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The Special Note summarizes my overall thoughts about our economic situation
SPX at 2920.90 as this post is written

Friday, May 3, 2019

Monthly Changes In Total Nonfarm Payrolls – May 3, 2019 Update

For reference purposes, below are five charts that display growth in payroll employment, as depicted by the Total Nonfarm Payrolls measures (FRED data series PAYEMS).
PAYEMS, which is seasonally adjusted, is defined in Financial Reserve Economic Data [FRED] as:
All Employees: Total Nonfarm, commonly known as Total Nonfarm Payroll, is a measure of the number of U.S. workers in the economy that excludes proprietors, private household employees, unpaid volunteers, farm employees, and the unincorporated self-employed. This measure accounts for approximately 80 percent of the workers who contribute to Gross Domestic Product (GDP).
This measure provides useful insights into the current economic situation because it can represent the number of jobs added or lost in an economy. Increases in employment might indicate that businesses are hiring which might also suggest that businesses are growing. Additionally, those who are newly employed have increased their personal incomes, which means (all else constant) their disposable incomes have also increased, thus fostering further economic expansion.
Generally, the U.S. labor force and levels of employment and unemployment are subject to fluctuations due to seasonal changes in weather, major holidays, and the opening and closing of schools. The Bureau of Labor Statistics (BLS) adjusts the data to offset the seasonal effects to show non-seasonal changes: for example, women’s participation in the labor force; or a general decline in the number of employees, a possible indication of a downturn in the economy. To closely examine seasonal and non-seasonal changes, the BLS releases two monthly statistical measures: the seasonally adjusted All Employees: Total Nonfarm (PAYEMS) and All Employees: Total Nonfarm (PAYNSA), which is not seasonally adjusted.
The series comes from the ‘Current Employment Statistics (Establishment Survey).’
The source code is: CES0000000001
The first chart shows the monthly change in Total Nonfarm Payrolls from the year 2000 through the current April 2019 report (April 2019 value of 263,000):
(click on charts to enlarge images)
PAYEMS monthly change since 2000
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: All Employees: Total nonfarm [PAYEMS] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed May 3, 2019; https://fred.stlouisfed.org/series/PAYEMS
The second chart shows a longer-term chart of the same month-over-month change in Total Nonfarm Payrolls (reports of February 1939 through the present report of April 2019):
Total Nonfarm Payrolls monthly change since 1939
The third chart shows the aggregate number of Total Nonfarm Payrolls, from the reports of February 1939 – April 2019 (April 2019 value of 151.095 million):
Total Nonfarm Payrolls chart
The fourth chart shows this same aggregate number of Total Nonfarm Payrolls measure as seen above but presented on a LOG scale:
Total Nonfarm Payrolls
Lastly, the fifth chart shows the Total Nonfarm Payrolls number on a “Percent Change from Year Ago” basis from January 1940 – April 2019: (April 2019 value of 1.8%)
Total Nonfarm Payrolls Percent Change From Year Ago
_________
I post various indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this site are aware, I do not necessarily agree with what they depict or imply.
_____
The Special Note summarizes my overall thoughts about our economic situation
SPX at 2945.07 as this post is written

Average Hourly Earnings Trends

I have written many blog posts concerning the worrisome trends in income and earnings.
Along these lines, one of the measures showing disconcerting trends is that of hourly earnings.
While the concept of hourly earnings can be defined and measured in a variety of ways, below are a few charts that I believe broadly illustrate problematic trends.
The first chart depicts Average Hourly Earnings Of All Employees: Total Private (FRED series CES0500000003)(current value = $27.77):
(click on chart to enlarge image)(chart last updated 5-3-19)
CES0500000003
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: Average Hourly Earnings of All Employees:  Total Private [CES0500000003] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed May 3, 2019:
http://research.stlouisfed.org/fred2/series/CES0500000003
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This next chart depicts this same measure on a “Percentage Change From A Year Ago” basis.   While not totally surprising, I find the decline from 2009 and subsequent trend to be disconcerting:
(click on chart to enlarge image)(chart last updated 5-3-19)
CES0500000003 Percent Change From Year Ago
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There are slightly different measures available from a longer-term perspective. Pictured below is another measure, the Average Hourly Earnings of Production and Nonsupervisory Employees – Total Private (FRED series AHETPI)(current value = $23.31):
(click on chart to enlarge image)(chart last updated 5-3-19)
AHETPI
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: Average Hourly Earnings of Production and Nonsupervisory Employees:  Total Private [AHETPI] ; U.S. Department of Labor: Bureau of Labor Statistics;  accessed May 3, 2019:
http://research.stlouisfed.org/fred2/series/AHETPI
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Pictured below is this AHETPI measure on a “Percentage Change From A Year Ago” basis.   While not totally surprising, I find the decline from 2009 and subsequent trend to be disconcerting:
(click on chart to enlarge image)(chart last updated 5-3-19)
AHETPI Percent Change From Year Ago
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I will continue to actively monitor these trends, especially given the post-2009 dynamics.
_________
I post various economic indicators and indices because I believe they should be carefully monitored.  However, as those familiar with this site are aware, I do not necessarily agree with what they depict or imply.
_____
The Special Note summarizes my overall thoughts about our economic situation
SPX at 2937.56 this post is written

U-3 And U-6 Unemployment Rate Long-Term Reference Charts As Of May 3, 2019

Shortly after each monthly employment report I have been posting a continual series titled “3 Critical Unemployment Charts.”
Of course, there are many other employment charts that can be displayed as well.
For reference purposes, below are the U-3 and U-6 Unemployment Rate charts from a long-term historical perspective.  Both charts are from the St. Louis Fed site.  The U-3 measure is what is commonly referred to as the official unemployment rate; whereas the U-6 rate is officially (per Bureau of Labor Statistics) defined as:
Total unemployed, plus all persons marginally attached to the labor force, plus total employed part time for economic reasons, as a percent of the civilian labor force plus all persons marginally attached to the labor force
Of note, many economic observers use the U-6 rate as a (closer) proxy of the actual unemployment rate rather than that depicted by the U-3 measure.
Here is the U-3 chart, currently showing a 3.6% unemployment rate:
(click on charts to enlarge images)(charts updated as of 5-3-19)
U-3 unemployment rate
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: Civilian Unemployment Rate [UNRATE] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed May 3, 2019:
http://research.stlouisfed.org/fred2/series/UNRATE
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Here is the U-6 chart, currently showing a 7.3% unemployment rate:
U-6 rate
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: Total unemployed, plus all marginally attached workers plus total employed part time for economic reasons  [U6RATE] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed May 3, 2019: 
http://research.stlouisfed.org/fred2/series/U6RATE
_____
The Special Note summarizes my overall thoughts about our economic situation
SPX at 2931.35 as this post is written

3 Critical Unemployment Charts – May 2019

As I have commented previously, as in the October 6, 2009 post (“A Note About Unemployment Statistics”), in my opinion the official methodologies used to measure the various job loss and unemployment statistics do not provide an accurate depiction; they serve to understate the severity of unemployment.
However, even if one chooses to look at the official statistics, the following charts provide an interesting (and disconcerting) long-term perspective of certain aspects of the officially-stated unemployment (and, in the third chart, employment) situation.
The three charts below are from the St. Louis Fed site.  Here is the Median Duration of Unemployment (current value = 9.4 weeks):
(click on charts to enlarge images)(charts updated as of 5-3-19)
Median Duration of Unemployment chart
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: Median Duration of Unemployment [UEMPMED] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed May 3, 2019: 
http://research.stlouisfed.org/fred2/series/UEMPMED
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Here is the chart for Unemployed 27 Weeks and Over (current value = 1.230 million):
Unemployed 27 Weeks And Over
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: Civilians Unemployed for 27 Weeks and Over [UEMP27OV] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed May 3, 2019:
http://research.stlouisfed.org/fred2/series/UEMP27OV
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Here is the chart for Total Nonfarm Payrolls (current value = 151.095 million):
Total Nonfarm Payrolls
Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis: All Employees: Total nonfarm [PAYEMS] ; U.S. Department of Labor: Bureau of Labor Statistics; accessed May 3, 2019: 
https://research.stlouisfed.org/fred2/series/PAYEMS
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Our unemployment problem is severe.  The underlying dynamics of the current – and especially future – unemployment situation remain exceedingly worrisome.  These dynamics are numerous and complex, and greatly lack recognition and understanding.
My commentary regarding unemployment is generally found in the “Unemployment” label.  This commentary includes the page titled “U.S. Unemployment Trends,” which discusses various problematical issues concerning the present and future employment situation.
_____
The Special Note summarizes my overall thoughts about our economic situation
SPX at 2934.26 as this post is written