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 October 31, 2019 update (reflecting data through October 25, 2019) is -1.285.

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:

http://www.chicagofed.org/webpages/publications/nfci/index.cfm

Below are the most recently updated charts of the NFCI and ANFCI, respectively.

The NFCI chart below was last updated on November 6, 2019 incorporating data from January 8, 1971 through November 1, 2019, on a weekly basis.  The November 1 value is -.74:

Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis; accessed November 6, 2019: 
http://research.stlouisfed.org/fred2/series/NFCI

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The ANFCI chart below was last updated on November 6, 2019 incorporating data from January 8, 1971 through November 1, 2019, on a weekly basis.  The November 1 value is -.69:

Data Source: FRED, Federal Reserve Economic Data, Federal Reserve Bank of St. Louis; accessed November 6, 2019: 
http://research.stlouisfed.org/fred2/series/ANFCI

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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.

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The Special Note summarizes my overall thoughts about our economic situation

SPX at 3076.73 as this post is written

Recession Probability Models – November 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 November 4, 2019 using data through October) this “Yield Curve” model shows a 29.0358% probability of a recession in the United States twelve months ahead.  For comparison purposes, it showed a 34.805% probability through September, 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 November 1, 2019 currently shows a 2.76% probability using data through September.

Here is the FRED chart (last updated November 1, 2019):

Data Source:  Piger, Jeremy Max and Chauvet, Marcelle, Smoothed U.S. Recession Probabilities [RECPROUSM156N], retrieved from FRED, Federal Reserve Bank of St. Louis, accessed November 5, 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 October 11, 2019 post titled “The October 2019 Wall Street Journal Economic Forecast Survey“ economists surveyed averaged a 34.19% 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 3074.63 as this post is written

Monthly Changes In Total Nonfarm Payroll – November 1, 2019 Update

For reference purposes, below are five charts that display growth in payroll employment, as depicted by the Total Nonfarm Payroll 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 Payroll from the year 2000 through the current October 2019 report (October 2019 value of 128 (Thousands)):

(click on charts to enlarge images)

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 November 1, 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 Payroll (reports of February 1939 through the present report of October 2019):

The third chart shows the aggregate number of Total Nonfarm Payroll, from the reports of February 1939 – October 2019 (October 2019 value of 151.945 million):

The fourth chart shows this same aggregate number of Total Nonfarm Payroll measure as seen above but presented on a LOG scale:

Lastly, the fifth chart shows the Total Nonfarm Payroll number on a “Percent Change from Year Ago” basis from January 1940 – October 2019: (October 2019 value of 1.4%)

_________

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 3061.93 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 = $28.18):

(click on chart to enlarge image)(chart last updated 11-1-19)

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 November 1, 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 11-1-19)

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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 = $23.70):

(click on chart to enlarge image)(chart last updated 11-1-19)

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 November 1, 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 11-1-19)

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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 3063.42 this post is written

U-3 And U-6 Unemployment Rate Long-Term Reference Charts As Of November 1, 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 11-1-19)

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 November 1, 2019:
http://research.stlouisfed.org/fred2/series/UNRATE

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Here is the U-6 chart, currently showing a 7.0% unemployment 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 November 1, 2019: 
http://research.stlouisfed.org/fred2/series/U6RATE

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The Special Note summarizes my overall thoughts about our economic situation

SPX at 3057.86 as this post is written

3 Critical Unemployment Charts – November 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 = 9.3 weeks):

(click on charts to enlarge images)(charts updated as of 11-1-19)

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 November 1, 2019:
http://research.stlouisfed.org/fred2/series/UEMPMED

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Here is the chart for Unemployed 27 Weeks and Over (current value = 1.264 million):

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 November 1, 2019:
http://research.stlouisfed.org/fred2/series/UEMP27OV

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Here is the chart for Total Nonfarm Payroll (current value = 151.945 million):

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 November 1, 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.

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The Special Note summarizes my overall thoughts about our economic situation

SPX at 3059.31 as this post is written

U.S. Dollar Decline – November 1, 2019 Update

U.S. Dollar weakness is a foremost concern of mine.  As such, I have extensively written about it.  I am very concerned that the actions being taken to “improve” our economic situation will dramatically weaken the Dollar.  Should the Dollar substantially decline from here, as I expect, the negative consequences will far outweigh any benefits.  The negative impact of a substantial Dollar decline can’t, in my opinion, be overstated.

The following three charts illustrate various technical analysis aspects of the U.S. Dollar, as depicted by the U.S. Dollar Index.

First, a look at the monthly U.S. Dollar from 1983.  This clearly shows a long-term weakness, with the blue line showing technical support until 2007, and the red line representing a (past) trendline:

(charts courtesy of StockCharts.com; annotations by the author)

(click on charts to enlarge images)

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Next, another chart, this one focused on the daily U.S. Dollar since 2000 on a LOG scale.  The red line represents a (past) trendline.  The gray dotted line is the 200-day M.A. (moving average):

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Lastly, a chart of the Dollar on a weekly LOG scale.  There are two clearly marked past channels, with possible technical support depicted by the dashed light blue line:

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I will continue providing updates on this U.S. Dollar situation regularly as it deserves very close monitoring…

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The Special Note summarizes my overall thoughts about our economic situation

SPX at 3037.56 as this post is written

The Strength Of The U.S. Economy And Financial System

Various surveys, economic growth projections, and market risk indicators continue to indicate U.S. economic growth and financial system stability for the foreseeable future.

However, there are various indications – many of which have been discussed on this site – that this very widely-held consensus is in many ways incorrect.  There are many exceedingly problematical financial conditions that continue to exist, some of which have grown in severity.  As well, numerous economic dynamics continue to be worrisome and many economic indicators portray facets of weak growth or outright decline.

Of paramount importance is the resulting level of risk and the future economic implications.

From an “all things considered” standpoint, I continue to believe the overall level of risk is at a fantastic level, one that is far greater than that experienced at any time in the history of the United States.

Cumulatively, these highly problematical conditions will lead to future upheaval.  The extent of the resolution of these problematical conditions will determine the ongoing viability of the financial system and economy as well as the resultant quality of living.

As I have previously written in “The U.S. Economic Situation” updates:

My analyses continues to indicate that the growing level of financial danger will lead to the next stock market crash that will also involve (as seen in 2008) various other markets as well.  Key attributes of this next crash is its outsized magnitude (when viewed from an ultra-long term historical perspective) and the resulting economic impact.  This next financial crash is of tremendous concern, as my analyses indicate it will lead to a Super Depression – i.e. an economy characterized by deeply embedded, highly complex, and difficult-to-solve problems.

_____

The Special Note summarizes my overall thoughts about our economic situation

SPX at 3037.56 as this post is written