ON DECK FOR TUESDAY, OCTOBER 13th

ON DECK FOR TUESDAY, OCTOBER 13th

KEY TOPICS:

  • Bond rally greets Canadians and Americans returning from long weekends
  • Canada needs an external review of Statcan’s jobs methodologies
  • The BoC should fade jobs, remain focused upon inflation
  • Alberta’s advance voting begins; key will be turn-out
  • Mixed US bank earnings to start the Q3 line-up
  • Light US data: US home resales, weekly ADP
  • Global Week Ahead –– Immaculate Disinflation (reminder here)

Canadians and Americans are returning from long weekends to greet rallies across global sovereign bonds that are pushing yields lower everywhere. Lower oil prices are one driver of this, but I don’t think markets are listening and observing to the signs that tensions are likely to boil over again in coming weeks especially after US midterms. One sign is Trump’s constant guidance he won’t escalate before the midterms, ‘before’ being the operative word. Another sign is force movements as well as rising conflict between the Saudis and Houthis.

Equities are little changed on balance with lower US futures, higher TSX futures and mixed European cash markets. The dollar is broadly softer against multiple crosses including CAD.

Light global data only offers up US existing home sales during September (10amET) and ADP’s unreliable weekly jobs gauge that registered a four-week moving average w/w gain of about 25k.

MIXED US BANK EARNINGS

Here is a summary of US bank earnings releases this morning (chart 1).

Chart 1: US Banks' Q2 Earnings

Goldman Sales stomped all over the others and posted a strong beat. Adjusted EPS of US$17.01 beat expectations for $12.82 with both FICC and equity revenues beating expectations.

Citigroup beat expectations with EPS of US$2.85 (consensus $2.65) as FICC revenues beat but equity revenues missed.

JP Morgan missed expectations with adjusted EPS of US$5.57 (consensus $5.92). FICC revenues missed, equity revenues beat.

Wells Fargo underwhelmed with EPS of US$1.87 (consensus $1.86) and a miss on net interest income.

WATCH ALBERTA’S ADVANCE TURNOUT

Advance voting begins today on Alberta’s 10 Questions––key being the one on separation. This piece summarizes them. The rest are dominated by questions on various issues concerning immigration and access to public programs. Key will be turnout figures; as

former Alberta Premier Jason Kenney put it, low turnout under 40% could tip the balance in favour of separatists even though polls show overwhelming opposition to separating and it would make zero sense to do so.

CANADA SHOULD LAUNCH AN EXTERNAL REVIEW OF STATCAN’S LABOUR READINGS

Doves quickly pounced on Canada’s job loss on Friday to boldly declare that does it, no BoC hikes because the world is ending. They’re gullible. They didn’t do their jobs. I’ll offer a different response in addition to the section in my weekly that argued the BoC has strong reason to remain focused upon inflation.

Canada needs better quality job market readings and should follow Australia’s path that launched an independent technical review of its official employment figures in that country’s Labour Force Survey back in 2014 after a series of wonky readings. It was conducted by former ABS statistician Paul McCarthy in 2014. It led to 16 recommendations that were all accepted by the ABS including revised seasonal adjustment methods. It did not settle the issue, however, since about a year later, a former head of the Australian Bureau of Statistics said in October 2015 that the figures “aren’t worth the paper they’re written on, so why are we wasting millions of taxpayers’ money on the survey?” Australia struggled with low-quality job readings for years. In February 2016, former RBA Governor Stevens said “let’s discount them to some extent perhaps for the quality issues.”

BoC Governor Macklem should perhaps roll-out the same quote when he twice comments in Bangkok this week. Ottawa is too cozy, so maybe he’ll defer, but he shouldn’t.

It’s not just that I flat out don’t believe Friday’s job market readings from Statistics Canada as argued here and in my weekly, but I don’t. I just don’t accept that suddenly 70,000 public sector employees lost jobs in September of which 58k were in health and education––not the civil service––and concentrated in Quebec with those two sectors losing 46k jobs. 10% of all Quebec education sector employees lost their jobs in a single month, we’re asked to believe. In an election campaign. The CAQ was smoked in the election results, but presumably not entirely incompetent as to fire off tens of thousands of public sector workers weeks before the vote. While I’m aware of limited nationwide cuts across school boards and hospitals, I’d like a full accounting of the reductions benchmarked to what LFS is telling us and seasonally adjusted; my inclination is to believe that public sector jobs are not the riskiest forms of employment in the country and so why are they among the most volatile? Was it mass labour force exits due to huge numbers of retirements and discouraged workers with reliable data to back that up, a wonky survey, or something else? Whatever the case, I suspect October and onward will bounce back.

It’s also that the country’s payrolls survey is totally unreliable given large first-pass revisions (chart 2) and final revisions (chart 3) that very frequently number in the tens of thousands of positions each month. What SEPH reports happened to changes in payroll employment and what the LFS reports happened to changes in payroll employment commonly deviate by tens of thousands of jobs per month (chart 4). SEPH is a low-quality report that should be higher quality by relying upon payroll data and that lags LFS by two months––in contrast to simultaneous releases in the US––such that by the time we get the first SEPH reading and then massive revisions it’s too late to be of any use. 

Chart 2: Canada SEPH Revisions; Chart 3: Canada SEPH First Revisions; Chart 4: Canada LFS Spread Over SEPH

Statcan’s LFS invokes seasonal adjustments that can massively swing the figures because of a recency bias to how they are calculated which might exaggerate shifts in seasonal patterns or take too long to pivot away from sudden shocks like the pandemic’s seasonal distortions. I’ve included a bunch of charts at the back of this note showing this year’s SA factors by month compared to like months in history. Historically low SA factors tend to be used from January through April, then they shift toward the middle, before shifting toward unusually high SA factors over most of the second half of the year.

The six-month panel rotation method should be revisited. That’s the LFS approach that samples the same households over a six-month period of time while only rotating out the first month’s households as a new month’s additions are incorporated.

Response rates remain a challenge as they have yet to recover to pre-pandemic levels. The 2019 response rate of 87% compares against 70–73% rates since then (chart 5). Statcan published an effort to improve response rates about a year ago, allowing more online data collection among other things, but we can’t find a 2026 response rate to date at the time of writing.

Chart 5: CA LFS Response Rate

Statcan’s methodology around the temporary residents category applies a smoothed twelve-month rolling average that may be too slow to turn when sudden immigration shifts occur. There have been large revisions to the temps category over recent years (chart 6). Statcan has struggled with meaningful population revisions for several years (chart 7). 

Chart 6: Canada Temporary Residents Level; Chart 7: Impact of Revised Population Control on Employment

Statcan has done audits and reviews in the past, but they’ve lacked full transparency and were conducted by staffers. The nation’s leading, independent experts on labour markets and survey methods should be called upon to do a thorough examination. International experts familiar with debates in places like Australia and now the US given Warsh’s task forces may also be pulled in. A review should not be conducted by the BoC given Ottawa’s tight connections, although going the route of one of the Fed’s five taskforces that looks at data quality and is being led by external experts could be one such model.

If such an external review concluded that everything is about as good as it gets, warts an all, then ok, but healthy scepticism will persist and it’s possible that meaningful suggestions could arise in a way that over time strengthens the public’s confidence in Canadian job market readings.

Chart 8: Comparing CA LFS SA Factor for All Months of January; Chart 9: Comparing CA LFS SA Factor for All Months of February; Chart 10: Comparing CA LFS SA Factor for All Months of March; Chart 11: Comparing CA LFS SA Factor for All Months of April
Chart 12: Comparing CA LFS SA Factor for All Months of May; Chart 13: Comparing CA LFS SA Factor for All Months of June; Chart 14: Comparing CA LFS SA Factor for All Months of July; Chart 15: Comparing CA LFS SA Factor for All Months of August
Chart 16: Comparing CA LFS SA Factor for All Months of September; Chart 17: Comparing CA LFS SA Factor for All Months of October; Chart 18: Comparing CA LFS SA Factor for All Months of November; Chart 19: Comparing CA LFS SA Factor for All Months of December
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