The Composite PMI and the Service Sector
The PMI readings globally are not as comprehensive a set of data as for manufacturing. Still, there is a broad rather representative group of data we can observe to track the overall PMI and the global service sector. In January, among the twelve reporters of service sector data, eight weakened showing that weakening members outnumbered strengthening members two to one. That is decisive. In December, nine members weakened month-to-month. That compared to eight weakening in November.
The service sector globally
These monthly changes demonstrate (data not shown separately) that the service sector has been under siege over the last three months with declining sectors outnumbering advancing sectors by a factor of at least two to one for three months running. That is 'impressive' in a negative way.
The chart shows that among the countries and the EMU region whose data are plotted there, the U.S. has been a very different animal with the service sector building to a crescendo while the other service sectors ran either a more restrictive cycle (like the EMU) or simply waffled while moving mostly sideways (Japan shows a bit more uptrend than the EMU or China).
The service sector ranks below its median (on data from January 2018 to date) in eight of twelve sectors with those below their median outnumbering those above their median by two to one again. The relative strongest service sectors are in Brazil (83.7%) and Canada (72.2%). Among the world's four largest economies (the U.S., China, Japan and Germany, the strongest standing for a service sector is Germany at its 36th percentile). Among the twelve global service sectors, eight of twelve have weaker PMI values than their level before the Covid virus stuck in January 2020 (one country, Brazil, is unchanged). The only countries with higher service sectors on that timeline are Canada, France, and the U.K.
The Composite PMIs
The service sector usually dominates the composite reading but the composites are more comprehensive, and more countries report a composite PMI than report both individual sectors. Twenty countries report an up-to-date composite PMI in the table.
In January, the composite PMI slows month-to-month in 16 of 20 jurisdictions but dips below 50 (the diffusion boom-bust line) in only six (30% of reporters). The median reading is 51.0, a skinny gap between the median and the boom-bust line.
There has clearly been a worsening in the last two months when the proportion of reporters showing deterioration has risen sharply and stayed high. This is probably a result of the highly transmissible Omicron virus, although some health experts are now concerned that Omicron may not have spread as widely as initially suggested and there may still be a good deal of Delta in the mix. This just points out how much health authorities are stabbing in the dark at a moving target. The U.K. does a great deal of detailed testing. The U.S… not so much, and the tests that the U.S. deploys often only test for 'Covid-19' not for the particular variant. And lot of what we 'know' about the virus is still derived from models and if there is anyone who knows how dodgy depending on a model can be, it's an economist. The initial 'model results' given around Christmas by a U.K. group for the spread of Omicron in the U.S. appears to have been 'overstated.' So, we will have to listen to the health authorities to see what they tell us. Whatever is going around, it is spreading fast and it may be a mix of Omicron and Delta.
A world of 'hurt'
Whatever is going on in the world of virus, it is affecting the world of economics and has had a large impact over the past two months. Infection curves are now dwindling (GOOD NEWS!) and although deaths are low relative to infections the infections have been so broad-based that in raw numbers the deaths have been high.
Virus impact on economy
Obviously, what happens next is going to depend on what the real virus facts are and where we go from here. The virus has an outsized impact on the service sector since that sector puts a premium on face-to face contact and people who are engaged in heavy mitigation strategies simply avoid as much contact as possible. They stay home. They let other people shop for them. They use the internet, and so on… I live in NYC on the Upper West side of Manhattan, a densely populated area. I see a less grocery store shopping, less traffic on the streets, fewer people on the street, a less crowded subway system. People are mitigating or maybe migrating or even hermitting. Even though they still shop, that behavior hurts growth.
Diffusion data, queue rankings and high-low percentile readings
The global composite PMI data show several interesting trends. I just wrote on the deterioration in the last few months. But note the queue standing column in the table…what is going on there? An average standing of 43% means that on average reporters are significantly below their median (medians occur at a queue ranking of 50). Now this is different from the median of the diffusion data which is at 51 and shows a very small tendency to expand (PMI values above 50 signal expansion; values below 50 signal contraction; on the queue ranking data 50% identifies the MEDIAN value of the underlying diffusion value). But these two readings are not incompatible -in fact together they enhance our understanding of events. As a final matter, the column labeled percentile provides the percentile standing of the month's observation in its range- between the sample high and low. A 50% reading on that is simply the middle of the high-low range.
Making the metrics work together
One of these metrics, the median, points to a barebones expansion; the other (queue standings) says that countries are posting results well below their historic medians. These two findings are quite compatible; in fact, a barebones 'skinny' PMI level just above 50 is also below most nations' medians (in almost all cases). We can also see that the percentile column shows an average across reporters of 78% and a median of 82%. Again, that is compatible with the other two results. What the table shows is that there is only one reading in the top 10 percentile of its historic high-low range of values (Sweden). However, there are 12 of 20 readings that are in their top 20th percentile on this gauge. While there may be broad queue percentile standing weakness, there is not deep high-low weakness.
Global