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Tariffs are Good for Inflation

The news of the day today – at least, from the standpoint of someone interested in inflation and inflation markets – was President Trump’s announcement of a new tariff on Canadian lumber. The new tariff, which is a response to Canada’s “alleged” subsidization of sales of lumber to the US (“alleged,” even though it is common knowledge that this occurs and has occurred for many years), ran from 3% to 24% on specific companies where the US had information on the precise subsidy they were receiving, and 20% on other Canadian lumber companies.

In related news, lumber is an important input to homebuilding. Several home price indicators were out today: the FHA House Price Index for new purchases was up 6.43% y/y, the highest level in a while (see chart, source Bloomberg).

The Case-Shiller home price index, which is a better index than the FHA index, showed the same thing (see chart, source Bloomberg). The first bump in home price growth, in 2012 and 2013, was due to a rebound to the sharp drop in home prices during the credit crisis. But this latest turn higher cannot be due to the same factor, since home prices have nearly regained all the ground that they lost in 2007-2012.

Those price increases are in the prices of existing homes, of course, but I wanted to illustrate that, even without new increases in materials costs, housing costs were continuing to rise faster than incomes and faster than prices generally. But now, the price of new homes will also rise due to this tariff (unless the market is slack and so builders have to absorb the cost increase, which seems unlikely to happen). Thus, any ebbing in core inflation that we may have been expecting as home price inflation leveled off may be delayed somewhat longer.

But the tariff hike is symptomatic of a policy that provokes deeper concern among market participants. As I’ve pointed out previously, de-globalization (aka protectionism) is a significant threat to inflation not just in the United States, but around the world. While I am not worried that most of Trump’s proposals would result in a “reflationary trade” due to strong growth – I am not convinced we have solved the demographic and productivity challenges that keep growth from being strong by prior standards, and anyway growth doesn’t cause inflation – I am very concerned that arresting globalization will. This isn’t all Trump’s fault; he is also a symptom of a sense among workers around the world that globalization may have gone too far, and with no one around who can eloquently extol the virtues of free trade, tensions were likely to rise no matter who occupied the White House. But he is certainly accelerating the process.

Not only do inflation markets understand this, it is right now one of the most-significant things affecting levels in inflation markets. Consider the chart below, which compares 10-year breakeven inflation (the difference between 10-year Treasuries and 10-year TIPS) to the frequency of “Border Adjustment Tax” as a search term in news stories on Google.

The market clearly anticipated the Trumpflation issue, but as the concern about BAT declined so did breakevens. Until today, when 10-year breakevens jumped 5-6bps on the Canadian tariff story.

At roughly 2%, breakevens appear to be discounting an expectation that the Fed will fail to achieve its price inflation target of 2% on PCE (which would be about 2.25% on CPI), and also excluding the value of any “tail outcomes” from protectionist battles. When growth flags, I expect breakevens will as well – and they are of course not as cheap as they were last year (by some 60-70bps). But from a purely clinical perspective, it is still hard to see how TIPS can be perceived as terribly rich here, at least relative to nominal Treasury bonds.

Summary of My Post-CPI Tweets

Below is a summary of my post-CPI tweets. You can (and should!) follow me @inflation_guy or sign up for email updates to my occasional articles here. Investors with interests in this area be sure to stop by Enduring Investments. Plus…buy my book about money and inflation, published in March 2016. The title of the book is What’s Wrong with Money? The Biggest Bubble of All; order from Amazon here.

  • Pretty big market day! Importantly, CPI: remember last month was big upside surprise, and driven by unusual suspects – core goods.
  • There’s a decent base effect hurdle today, as last Feb was 0.25% on core CPI. Consensus today is for a very weak 0.2% (almost 0.1%).
  • The consensus forecast clearly says that most economists see last month’s shocking 0.31% on core as one-offs.
  • Consensus expectation is for core to slip back to 2.2% from 2.3%. But then, last month they thought we’d fall to 2.1%.
  • Hurdles get easier next month: March ’16 saw 0.09% core CPI, and then a series of low 0.2s & 0.1s. So core is going up this summer.
  • Here is what I said about last month’s figures: https://mikeashton.wordpress.com/2017/02/15/summary-of-my-post-cpi-tweets-36/
  • 5 mins to CPI. Sources say the headline number is trading 243.34 (which would be -0.04% on headline) in the CPI derivs mkt.
  • core at 0.21%, higher than consensus expectations of 0.15% or so. Keeps y/y at 2.22%, down from 2.26%. But next month is an easy comp.
  • Monthly core CPI prints.

  • I don’t pay much attention to headline but it was a little high, y/y up to 2.74%. Only matters if it affects tenor of Fed discussion.
  • In major subgroups: Housing rose to 3.18% vs 3.12%. Need to see if that’s energy. Apparel fell back, as did health care.
  • w/in housing, Primary Rents slipped to 3.91% from 3.93%, Owner’s Equiv to 3.53% from 3.54%. So the housing bump was elsewhere.
  • Looks like the housing increase was mostly household energy, 4.46% from 3.51%. So no biggie as the kids say.
  • Apparel 0.42% vs 0.99%. The big jump last month was mostly reversed. Overall core services 3.1% and core goods dropped back to -0.5%
  • Last month the big story was that core goods had caused the jump in core CPI. Looks like these were mostly seasonal issues after all.
  • Transportation 6.3% vs 4.8%. That’s mostly gasoline. New & used cars slipped. But rising: parts, maintenance, insurance, airfares.
  • In Medical Care, big drop in medicinal drugs 4.19% vs 4.85%. Also drop in prof svcs (2.68% v 2.94%). THOSE are the one-offs this month.
  • Here are y/y med care & housing, source of the big upward pressure recently. But remember this month the housing is mostly energy.

  • Four more major subcategories. Recreation is the only one moving higher, but it’s a heterogeneous group & hard to decipher.

  • Quick estimate of Median is 0.21% m/m, 2.52% y/y, not quite a new high. Official figure will be out later.
  • Next month we should have core back over 2.3% and a shot at 2.4%, thanks to easy comp in March.
  • 10y inflation swaps still below current median inflation.

  • Mkt pretty confident in Fed: CPI mkt pricing: 2017 2.0%;2018 2.2%;then 2.2%, 2.1%, 2.2%, 2.2%, 2.3%, 2.4%, 2.5%, 2.7%, & 2027:2.5%.
  • This CPI report takes inflation off the boil, but not off the burner.
  • One more chart: weight of CPI categories over 3% inflation y/y.

Let’s face it. While this month’s CPI held some intrigue because of last month’s surprising spike, nothing about the figure was likely to change the outcome of today’s FOMC meeting and probably not the tenor of the statement or post-meeting presser. So, in that sense, this was a much less-significant report than last month’s release.

At the same time…let’s not lose sight of the fact that this was still an above-consensus CPI report. While the consensus was broadly correct that some of the jumps in core goods categories from last month were one-offs, and at least partially retraced this month, it’s still the case that y/y core inflation is going to keep rising through the summer merely on base effects. If the Fed wants to be hawkish and tighten more than the market currently expects (I think that nothing could be further from the truth, with Yellen at the helm, but she seems to dislike President Trump enough that she might forget some of her dovish leanings), then they will continue to have cover from inflation reports for a while.

Going forward from that, there are two inflation questions that will be resolved: (1) Will core goods recover and rise, indicating a broadening of inflation impulses that could produce a longer-tail upside? And (2) will housing inflation flatten out or decline since rent inflation is currently rising faster than even our most-generous models? If it does, then core inflation might stabilize near the current level, or even decline.

I have trouble figuring out what the mechanism would be for inflation to flatten out at these levels, from the macro-monetary perspective. Money growth remains brisk and higher interest rates should eventually goose velocity. I don’t see much prospect of money growth rolling over while banks are neither capital- nor reserve- constrained. And it’s hard to see interest rates heading back down while central banks shift into less-accommodative stances. I have more confidence in the macro-monetary (“top down”) model at longer time frames, and more confidence in the bottom-up analysis at shorter time frames. And for years they’ve told the same story: inflation should be rising, and it has. But there is a conflict between these perspectives that is coming later this year. How it resolves will be the story of the next 3-6 months.

Good Models and Bad Models

I have recently begun to spend a fair amount of time explaining the difference between a “good model” and a “bad model;” it seemed to me that this was a reasonable topic to put on the blog.

The difference between a good model and a bad model isn’t as obvious as it seems. Many people think that a “good model” is one that makes correct predictions, and a “bad model” is one that makes bad predictions. But that is not the case, and understanding why it isn’t the case is important for economists and econometricians. Frankly, I suspect that many economists can’t articulate the difference between a good model and a bad model…and that’s why we have so many bad models floating around.

The definition is simple. A good model is one which makes good predictions if high-quality inputs are given to the model; a bad model is one in which even the correct inputs doesn’t result in good predictions. At the limit, a model that produces predictions that are insensitive to the quality of the inputs – that is, whose predictions are just as accurate no matter what the inputs are – is pure superstition.

For example, a model of the weather that depends on casting chicken bones and rat entrails is a pretty bad model since the arrangement of such articles is not likely to bear upon the likelihood of rain. On the other hand, a model used to forecast the price of oil in five years as a function of the supply and demand of oil in five years is probably an excellent model, even though it isn’t likely to be accurate because those are difficult inputs to know. One feature of a good model, then, is that the forecaster’s attention should shift to the forecasting of the inputs.

This distinction is relevant to the current state of practical economics because of the enormous difference in the quality of “Keynesian” models (such as the expectations-augmented Phillips curve approach) and of monetarist models. The simplest such monetarist model is shown below. It relates the GDP-adjusted quantity of money to the level of prices.

This chart does not incorporate changes in money velocity (which show up as deviations between the two lines), and yet you can see the quality of the model: if you had known in 1948 the size of the economy in 2008, and the quantity of M2 money there would be in 2008, then you would have had a very accurate prediction of the cumulative rate of inflation over that 60-year period. We can improve further on this model by noting that velocity is not random, but rather is causally related to interest rates. And so we can state the following: if we had known in 2007 that the Fed was going to vastly expand its balance sheet, causing money supply to grow at nearly a 10% rate y/y in mid-2009, but at the same time 5-year interest rates would be forced from 5% to 1.2% in late 2010, then we would have forecast inflation to decline sharply over that period. The chart below shows a forecast of the GDP deflator, based on a simple model of money velocity that was calibrated on 1977-1997 (so that this is all out-of-sample).

That’s a good model. Now, even solid monetarists didn’t forecast that inflation would fall as far as it did – but that’s not a failure of the model but a failure of imagination. In 2007, no one suspected that 5-year interest rates would be scraping 1% before long!

Contrariwise, the E-A-Phillips Curve model has a truly disastrous forecasting history. I wrote an article in 2012 in which I highlighted Goldman Sachs’ massive miss from such a model, and their attempts to resuscitate it. In that article, I quoted these ivory tower economists as saying:

“Economic principles suggest that core inflation is driven by two main factors. First, actual inflation depends on inflation expectations, which might have both a forward-looking and a backward-looking component. Second, inflation depends on the extent of slack (or spare capacity) in the economy. This is most intuitive in the labor market: high unemployment means that many workers are looking for jobs, which in turn tends to weigh on wages and prices. This relationship between inflation, expectations of inflation and slack is called the “Phillips curve.”

You may recognize these two “main factors” as being the two that were thoroughly debunked by the five economists earlier this month, but the article I wrote is worth re-reading because it describes how the economists re-calibrated. Note that the economists were not changing the model inputs, or saying that the forecasted inputs were wrong. The problem was that even with the right inputs, they got the wrong output…and that meant in their minds that the model should be recalibrated.

But that’s the wrong conclusion. It isn’t that a good model gave bad projections; in this case the model is a bad model. Even having the actual data – knowing that the economy had massive slack and there had been sharp declines in inflation expectations – the model completely missed the upturn in inflation that actually happened because that outcome was inconsistent with the model.

It is probably unfair of me to continue to beat on this topic, because the question has been settled. However, I suspect that many economists will continue to resist the conclusion, and will continue to rely on bad, and indeed discredited, models. And that takes the “bad model” issue one step deeper. If the production of bad predictions even given good inputs means the model is bad, then perhaps relying on bad models when better ones are available means the economist is bad?

The Fed Needs More Inflation Nerds

January 30, 2017 5 comments

Earlier today I was on Bloomberg<GO> when the PCE inflation figures were released. As usual, it was an enjoyable time even if Alix Steel did call me a ‘big inflation nerd’ or something to that effect.

The topic was, of course, PCE – as well as inflation in general, how the Fed might respond (or not), and what the effect of the new Administration’s policies may be. You can see the main part of the discussion here, although not the part where Alix calls me a nerd. A man has some pride.

My main point regarding the PCE report was that PCE isn’t terribly low, but rather right on the long-run average as the chart below (all charts source Bloomberg) shows. Of course, PCE has been lagging behind the rise in CPI, but because it had been “too tight” previously this isn’t yet abnormal.

spread

However, in the interview I didn’t get to the really nerdy part. Perhaps my ego was still stinging and so I didn’t want to highlight the nerdiness?[1] No matter. The nerdy part is that the reason PCE is low is actually no longer because of Medical Care, but because of housing. This next chart plots the spread of core CPI over core PCE, through last month’s figures, versus Owners’ Equivalent Rent (OER).

vs-housing

Housing has a much higher weight in the CPI than in the PCE, and as you can see the plodding nature of OER means that the correlation is somewhat persistent because housing inflation is somewhat persistent. Right now, OER (which, frankly, I thought would have leveled off by now) is rising and showing no signs of slowing, and this fact has served to widen the CPI-PCE spread back to its historical average and likely will cause it to widen to an above-average level. I suppose the good news there is that it is still true that outside of housing, core inflation is still not rising aggressively. Core services ex-housing are looking perkier, but core goods continue to languish as the dollar remains strong. The strength of the dollar almost beggars belief if it’s true that the rest of the world hates us now, but it is what it is.

The bigger point, for markets, is “so what?” There is nothing about a 1.7% core PCE that presents any urgency for Chairman Yellen. As I said on the program: as Yellen approaches the end of her chairmanship (in January 2018, since she insists Trump won’t chase her out before), I believe it is much more likely that she wants to be remembered for pushing the unemployment rate very low – because she believes inflation is easily controlled – than that she wants to be remembered for being a hawk that stopped inflation from getting going. She isn’t worried about inflation, and so the question is whether she wants to be criticized for adding “too many” jobs, or not adding enough. Not that monetary policy has much to do with that, but I believe she clearly will err on the side of keeping policy too loose. The Fed isn’t tightening this week, and I find it unlikely that they will tighten in March, unless inflation expectations rise considerably further than they have already (see chart of 5y5y inflation forward from CPI swaps, below). Even after the big rally since late last year, 5y5y is well below the long-term average through 2014.

5y5y

And even if inflation expectations do rise further, the excuse from the chair will be easy: expectations are rising because the end (and possible reversal) of the globalization dividend and the imposition of tariffs will lead to higher prices. But there is nothing that Fed policy can do about this – it is a supply-side effect, just as high oil prices due to OPEC production restraints would represent a supply-side effect that the Fed shouldn’t respond to. So the excuses are all there for Dr. Yellen. History will show that she missed a chance to shrink the Fed’s balance sheet and avert the worst of the next inflationary upturn, but that history will not be written for some time.

[1] Ridiculous, of course. I embrace my nerdiness, at least when it comes to inflation.

Categories: CPI, Economy, Federal Reserve Tags:

Summary of My Post-CPI Tweets

January 18, 2017 Leave a comment

Below is a summary of my post-CPI tweets. You can (and should!) follow me @inflation_guy or sign up for email updates to my occasional articles here. Investors with interests in this area be sure to stop by Enduring Investments. Plus…buy my book about money and inflation, published in March 2016. The title of the book is What’s Wrong with Money? The Biggest Bubble of All; order from Amazon here.

  • Last CPI of 2016…fire it up!
  • Core +0.23%, a bit higher than expected. Market was looking for 0.16% or so.
  • y/y core CPI rises to 2.21%. The core print was the second highest since last Feb.
  • For a change, the BLS has the full data files posted so brb with more analysis. Housing subcomponent jumped, looking now.
  • Just saw this. Pretty cool. Our calculator https://www.enduringinvestments.com/calculators/cpi.php … pretty cool too but not updated instantly.
    • BLS-Labor Statistics @BLS_gov: See our interactive graphics on today’s new Consumer Price Index data http://go.usa.gov/x9mMG #CPI #BLSdata #DataViz
  • As I said, housing rose to 3.04% from 2.90% y/y. Primary Rents jumped to 3.96% from 3.88%; OER 3.57% from 3.54%.
  • Household energy was also higher, so some of the housing jump was actually energy. But the rise in primary rents matters.
  • Will come back to that. Apparel y/y slipped back into deflation (dollar effect). Recreation and Education steady. “Other” up a bit.
  • In Medical Care, 4.07% vs 3.98%. That had recently retraced a bit but back on the + side. Drugs, Prof. Svcs, and Hospital Svcs all +
  • Medicinal drugs. Not a new high but maybe the retracement is done.

drugs

  • Core services up to 3.1% from 3.0%; core goods -0.6% vs -0.7%.
  • That’s consistent with our view: stronger USD will keep core goods in or near deflation but it shouldn’t get much worse.
  • The dollar is just not going to cause core deflation in the US. Import/export sector is too small.
  • Core ex-housing rose to 1.20% from 1.12%. Still not exactly alarming!
  • Not from this report, but wages are worrying people and here’s why:

atlfedwages

  • However, wages tend to follow inflation, not lead it. I always add that caveat. But it matters for Fed reaction function.
  • Next few months are the challenge for renewed upward swing in core CPI – Jan and Feb 2016 were both high and drop out of the y/y.

corecpi

  • Early guess at Median CPI, which I think is a better measure of inflation…my back of envelope is 0.24% m/m, 2.61% y/y…new high.
  • CPI in 4 pieces. #1 Food & Energy (about 21%)

fande

  • CPI in 4 pieces. #2 Core Goods (about 20%)

coregoods

  • CPI in 4 pieces. #3 Core Services less Rent of Shelter (about 27%)

coresvcslessros

  • CPI in 4 pieces. #4 Rent of Shelter (about 33%)

ros

  • This is why people are worried re’ inflation AND why people dismiss it. “It’s just housing.” Yeh, but that’s the persistent part.
  • Scary part about rents is that it’s accelerating even above our model, and we have been among the more aggressive forecast.
  • OK, that’s all for this morning. Anyone going to the Inside ETFs conference next week? Look me up.

We end 2016 with the outlook in limbo, at least looking at these charts – unless January and February print 0.3% on core inflation, core CPI will be hanging around 2% for at least the next few months. Median inflation is more worrisome, as it will probably hit a new high when it is reported later today, but it doesn’t get the ink that core CPI or core PCE gets.

To my mind, the underlying trends are still very supportive of a cyclical (secular??) upswing in core inflation. Here’s a summary of two of the pieces that people care about a lot. Housing is much bigger, but slower; Medical Care is more responsive, but smaller.

lastchart

I suspect that chart is enough to keep most consumers jittery with respect to inflation, but as long as retail gasoline prices stay below $3/gallon there won’t be much of an outcry. But that doesn’t matter. M2 money growth accelerated throughout 2016 as the economy improved, and ended the year at 7.6% y/y. Interest rates are rising, which will help push money velocity higher. It’s hard to see how that turns into a disinflationary outcome.

Categories: CPI, Tweet Summary

Not So Fast on the Trump Bull Market

December 1, 2016 5 comments

**NOTE – please see the announcement at the end of this article, regarding a series of free webinars that begins next Monday.**


Whatever else the election of Donald Trump to be President of the United States has meant, it has meant a lot of excitement in precincts that worry about inflation. This is usually attributed, among the chattering classes, to the faster growth expected if Mr. Trump’s expressed preference for tax cuts and spending increases obtains. However, since growth doesn’t cause inflation that isn’t the part of a Trump Presidency that concerns me with respect to a continuing rise in inflation.

In our latest Quarterly Inflation Outlook, I wrote a short piece on the significance of the de-globalization movement for inflation. That is an area where, if the President-Elect delivers on his promises, a lot of damage could be done in the growth/inflation tradeoff. I have written before about how a big part of the reason for the generous growth/inflation tradeoff of the 1990s was the rapid globalization of many industries following the end of the Cold War. Deutsche Bank recently produced a research piece (I don’t recall whether it had anything to do with inflation, weirdly) that contained the following chart (Source: as cited).

freetradeagreementsperyearThis chart is the “smoking gun” that supports this version of events, in terms of why the inflation dynamic shifted in the early 1990s. Free trade helped to restrain prices in certain goods (apparel is a great example – prices are essentially unchanged over the last 25 years), by allowing the possibility of significant cost savings on production.

The flip side of a cost savings on production, though, is a loss of domestic manufacturing jobs; it is this loss that Mr. Trump took productive advantage of. If Mr. Trump moves to increase tariffs and other barriers to trade, and to reverse some of the globalization trend that has driven lower prices for the last quarter-century, it is potentially very negative news for inflation. While there was some evidence that the globalization dividend was beginning to get ‘tapped out’ as all of the low-hanging fruit had been harvested – and such a development would cause inflation to be higher than otherwise it would have been – I had not expected the possibility of a reversal of the globalization dividend except as a possible and minor side-effect of tensions with Russia over the Ukraine, or the effect the Syrian refugee problem could have on open borders. The election of Mr. Trump, however, creates the very real possibility that the reversal of this dividend might be a direct consequence of conscious policy choices.

I don’t think that’s the main reason that people are worried about inflation, though. Today, one contributor is the news that OPEC actually agreed to cut production, in January, and that some non-OPEC producers agreed to an additional cut. U.S. shale oil producers are clicking their heels in delight, because oil prices were already high enough that production was increasing again and they are more than happy to take more market share back. Oil prices are up about 15% since the announcement.

But that’s near-term, and I don’t expect the oil rally has legs much beyond current levels. Breakevens have been rallying, though, for weeks. Some of it isn’t related to Trump at all but to other initiatives. One correspondent of mine, who owns an office-cleaning business, sent me this note today:

“Think of you often lately as I’m on the front line out here of the “instant” 25% increase in min wage.  Voters decided to move min wage out here from 8.05 to $10 jan 1.  Anyone close to 10/hr is looking for a big raise.  You want to talk about fast dollars, hand a janitor a 25% pay bump and watch the money move.  Big inflation numbers pending from the southwest.  I’m passing some through but market is understandably reacting slower than the legislation.”

Those increases will definitely increase measured inflation further, though by a lot less than it increases my friend’s costs. Again, it’s an arrow pointing the wrong way for inflation. And, really, there aren’t many pointing the right way. M2 growth continues to accelerate; it is now at 7.8% y/y. That is too fast for price stability, especially as rates rise.

All of these arrows add up to substantial moves in inflation breakevens. 10-year breaks are up 55bps since September and 30bps since the election. Ten-year inflation expectations as measured more accurately by inflation swaps are now at 2.33%. Almost all of that rise has been in expectations for core inflation. The oft-watched 5y5y forward inflation (which takes us away from that part of the curve which is most impacted by energy movements) is above 2.5% again and, while still below the “normal” 2.75%-3.25% range, is at 2-year highs (see Chart, source Bloomberg).

5y5y

So what is an investor to do – other than to study, which there is an excellent opportunity to do for the next three Mondays with a series of educational webinars I am conducting (see details below)? There are a few good answers. At 0.46%, 10-year TIPS still represent a poor real return but a guaranteed positive 1/2% real return beats what is available from many risky assets right now. Commodities remain cheap, although less so. You can invest in a company that specializes in inflation, if you are an accredited investor: Enduring Investments is raising a small amount of money for the management company in a 506(c) offering and is still taking subscriptions. Unfortunately, it is difficult to own inflation expectations directly – and in any event, the easy money there has been made.

What you don’t want to do if you are worried about inflation is own stocks as a “hedge.” Multiples move inversely with inflation.

Unlike prior equity market rallies, I understand this one. It is plausible to me that a very business-friendly President, who cuts corporate and personal taxes and reduces regulatory burdens, might be good for corporate earnings and even for the economic growth rate (although the bad things coming on trade will blunt some of that). But before getting too ebullient about the potential for higher corporate earnings, consider this: if Trump is business-friendly, then surely the opposite must be said about President Obama who did essentially the reverse. But what happened to equities? They tripled over his eight years (perhaps they “only” doubled, depending on when you measure from). That’s because lower interest rates and the Fed’s removal of safe securities in search of a stimulus from the “portfolio balance channel” caused equity multiples to expand drastically. So, valuations went from low, to extremely high. Multiples matter a lot, and right now even if you think corporate earnings over the next four years might be stronger than over the last four you still have to confront the fact that multiples are more likely to move in reverse. In short: if stocks could triple under Obama, there is no reason on earth they can’t halve under a “business-friendly” President. That’s not a prediction. (But here is one: equities four years from now will be no more than 20% higher than they are now, and might well be lower.)

Also, remember Ronald Reagan? He who created the great bull market of the 1980s? Well, stocks rallied in the November he was elected, too. The S&P closed November 1980 at 140.52. Over the next 20 months, the index lost 24%. It wasn’t until almost 1983 before Reagan had a bull market on his hands.


An administrative announcement about upcoming (free!) webinars:

On consecutive Mondays spanning December 5, December 12, and December 19 at 11:00ET, I will be doing a series of one-hour educational seminars on inflation. The first is “How Inflation Works;” the second is “Inflation and Asset Classes;” and the third is “Inflation-aware Investing.” These webinars will also have live Q&A. After each session, a recording will be available on Investing.com.

Each of these webinars is financially sponsored by Enduring Investments.

Summary of My Post-CPI Tweets

November 17, 2016 Leave a comment

Below is a summary of my post-CPI tweets. You can (and should!) follow me @inflation_guy or sign up for email updates to my occasional articles here. Investors with interests in this area be sure to stop by Enduring Investments. Plus…buy my book about money and inflation, published in March 2016. The title of the book is What’s Wrong with Money? The Biggest Bubble of All; order from Amazon here.

  • CPI consensus is for a “soft” 0.2% on core. With 2 of the last 3 months quite low for one-off reasons, I am a little skeptical.
  • Rolling off an 0.196% m/m core from Oct 2015. Need about 0.23% to get y/y to tick back up to 2.3% on core.
  • Wow, 0.1% m/m on core and y/y goes DOWN to 2.1%! But not as impressive as that. To 3 decimals it’s 0.149% and 2.144%. Still, soft.
  • The doves just got another bullet.
  • Component breakdown very slow coming in….bls hasn’t posted data yet.
  • The overall number doesn’t mean much without the breakdown…still waiting on BLS.
  • Well, this is anticlimactic. BLS just not putting up the data. No data, no analysis.
  • Looks like a sharp fall m/m in some medical care commodities, but BLS report itself only gives 1-decimal rounding and no y/y comparisons.
  • BLS a half hour late now. Wonder if they’re all in “safe spaces” today.
  • Well, I see one reason. Apparently the BLS made an error in prescription drugs and actually revised all of the indices back to May.
  • …including the headline NSA figure. That’s an error with huge implications. It means the Tsy made wrong int payments on some TIPS.
  • NSA was 240.236, 241.038, 240.647, 240.853, and 241.428 for May-Sep. Now 240.229, 241.018, 240.628, 240.849, 241.428
  • Market guys telling me Tsy will use the old numbers for TIPS and derivatives. And hey! Look at that. BLS decided to release figures.
  • Gonna be an interesting breakdown actually. Surge in Housing and jump in Apparel, but plunge in Medical Care, Rec, & Communication.
  • Core services 3% from 3.2% y/y, core goods -0.5% from -0.6%.
  • OK! Housing 2.87% from 2.70%. BIG jump. Apparel 0.68% from -0.09%. Medical 4.26% from 4.89%. All big moves.
  • Primary Rents: 3.79% vs 3.70%; Owners’ Equiv Rent 3.45% vs 3.38%. Lodging away from home 4.37% vs 3.73%. All big jumps.
  • In Apparel (@notayesmansecon ), Women’s 0.27% vs -0.35%, but it was 1.57% 3 months ago. Girls tho: 3.06% vs 1.95%, vs -4.73% 3mo ago.
  • In Med Care: Drugs 5.24% vs 5.38% ok. Med Equip -0.79% vs -0.61% ok. Hospital Svcs 4.06% vs 5.64% !, Health Ins 6.93% vs 8.37% !.
  • Median should be about 0.16%, but median category looks like Midwest Urban OER so there’s seasonal adj I am just estimating.
  • That would keep Median at 2.49%, down from 2.54%. But all this looks temporary.
  • Core ex-housing dropped to 1.20%, lowest since last Nov. But it was as low as 0.87% last year.
  • Here is the summary: Rent of Shelter continues to rise, and actually faster than our traditional model. Services ex-Shelter decelerated.
  • Core goods continues to languish. But here’s the thing: Housing is stickier than the rest of Core Services.
  • So unless somehow hospital prices just started to drop, this isn’t as soothing as the headline.
  • That said, this is the most dovish Fed in history. If the market continues to price 90+% chance of hike, they will…but…
  • …but if we get more weak growth figures, the 2-month moderation in inflation will be enough for them to wait one more meeting.
  • Employment numbr is key. Meanwhile, infl is going to keep rising. Housing worries me. Higher wages might keep housing momentum going.
  • Here are the two categories that constitute 50% of CPI. Housing and Medical Care. Not soothing.

50pct

  • Here’s another 30%. Volatile categories we usually look through.

30pct

  • Last 20% of CPI are these 4 categories. They’re the ones to watch. Nothing too worrisome yet.

20pct

  • Here’s the FRED inflation heat map. Yeah, these were all charts that were SUPPOSED to be in my de-brief.

picture1

  • Compare distributions from last month (smaller bar on far left) and this month (bigger bar on far left).

picture2 picture3

  • More negatives, but some of the longest bar shifted higher too. More dispersion overall.

I keep coming back to the housing number. That jump is disturbing, because most folks expected housing to start decelerating. I thought it would level out too (though at a higher level than others felt – roughly where it is now, 3.5% on OER, but it’s showing no signs of fading). Here’s the reason why. It’s a chart of a model of Owners’ Equivalent Rent:

nominalhsng

This nominal model is simply the average of models based on lags of various measures of home prices. We were supposed to level off and decline some time ago…but certainly by now. And so far there’s no sign of that.

Our model is a bit more sophisticated, but if you rely on lags of nominal variables you’re going to get something like this because housing price increases have leveled off (that is, housing prices are still rising, but they’re rising at a constant, and slightly slower, rate than they were).

Now, here’s the worry. All of these models are calibrated during a time when inflation in general was low, so there’s a real chance that we’re not capturing feedback effects. That is to say, when broad inflation rises it pushes wages up faster, and that tends to support a higher level of housing inflation. We have a pretty coarse model of this feedback loop, and the upshot is that if you model housing inflation as a spread compared to overall or core inflation, rather than as a level, you get different dynamics – and dynamics that are more in tune with what seems to be happening to housing inflation. Now, it’s way too early to say that’s what’s happening here, but with housing at our forecast level and still evidently rising, it’s time to start watching.

*

An administrative announcement about upcoming (free!) webinars:

On consecutive Mondays spanning November 28, December 5, and December 12, at 11:00ET, I will be doing a series of one-hour educational seminars on inflation. The first is “How Inflation Works;” the second is “Inflation and Asset Classes;” and the third is “Inflation-aware Investing.” These webinars will also have live Q&A. After each session, a recording will be available on Investing.com.

Each of these webinars is financially sponsored by Enduring Investments.

 

Categories: CPI, Tweet Summary
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