“Canada Is In Serious Trouble” Again, And This Time It’s For Real


Some time ago, Deutsche Bank’s chief international economist, Torsten Slok, presented several charts which showed that “Canada is in serious trouble” mostly as a result of its overreliance on its frothy, bubbly housing sector, but also due to the fact that unlike the US, the average household had failed to reduce its debt load in time.

Additionally, he demonstrated that it was not just the mortgage-linked dangers from the housing market (and this was before Vancouver and Toronto got slammed with billions in “hot” Chinese capital inflows) as credit card loans and personal lines of credit had both surged, even as multifamily construction was at already record highs and surging, while the labor market had become particularly reliant on the assumption that the housing sector would keep growing indefinitely, suggesting that if and when the housing market took a turn for the worse, or even slowed down as expected, a major source of employment in recent years would shrink.

Fast forward to today, when the trends shown by Slok two years ago have only grown more acute, with Canada’s household debt continuing to rise, its divergence with the US never been greater…

… making the debt-service ratio disturbingly sticky.

Making matters worse, recent trends in average hourly earnings show that if the US Federal Reserve is concerned with US wages, then the Bank of Canada should be positively terrified.

As BMO writes today, the chart above “looks at the 2-year change (expressed at annualized rates), which takes out some of the wonkiness in monthly readings. It’s pretty clear that the trend in U.S. wages has moved up from a sub-2% pace in the early years of the recovery to around 2.5% now. Not a huge move, but still significant. On the other hand, Canadian 2-year wage trends have collapsed to barely above 1.5%, after being above the U.S. pace for most of the recovery. This is a much bigger concern/issue than the modest cooling in U.S. wages in the past few months (which could just be a statistical quirk).”

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