Interesting piece in the WSJ about policy rates and inflation:
On Friday, five top economists presented a paper at a monetary-policy conference saying the main gauges policy makers typically use to understand inflation—such as “slack” in the labor market—don’t actually explain it.
What’s more, the last several years of extraordinary monetary policy have shaken a theory that had held sway for decades in financial markets: American economist Milton Friedman’s view that inflation is ultimately a function of how much money a central bank prints.
…
In fact, economists who study central-bank operations broadly believe that the amount of money created is a consequence of rising prices, not the cause. That is, if the price of apples goes from $1 to $2, the central bank will eventually need to issue more money to prevent money from getting scarce and interest rates from skyrocketing.
…
The reality check for economic theory goes further: Surveys show that lower interest rates aren’t a key factor in the decisions of households and businesses to take on credit and spend more.
I don’t know about that last quoted paragraph. In Canada there certainly seems to be a correlation between interest rates and the amount of mortgage debt consumers are willing to assume and I presume that in the absence of special factors this will be universally true.
In the US, of course, those special factors have been tighter credit in general and a bad experience with real-estate during the Credit Crunch. And I suggest it’s reasonable to advance the argument that retail investment in housing will not usually spark general inflation since houses are neither a productive nor a consumptive asset – they just sit there (at least over the time horizon of the purchaser).
The paper at issue, titled Deflating Inflation Expectations: The Implications of Inflation’s Simple Dynamics, is by Stephen G. Cecchetti, Michael E. Feroli, Peter Hooper, Anil K Kashyap and Kermit L. Schoenholtz; the abstract is provocative:
This report examines the behavior of inflation in the United States since 1984 (updating Cecchetti et al. (2007)). Over this period, the change in inflation is negatively serially correlated, and the change in inflation is best predicted by a statistical model that includes only information from the two most recent quarters. We find that the level of inflation fluctuates around a slowly changing trend that we call the local mean of inflation. Few variables add extra explanatory power for inflation once the local mean is taken into account. This local mean is itself well characterized by a random walk. Labor market slack has a statistically significant, but quantitatively small, effect on the local mean and inflation expectations have no effect. Some financial conditions that are influenced by monetary policy have larger effects on the local mean. Concretely, this means that one‐off moves in labor market slack or inflation expectations that are not mirrored in broader indicators of inflation pressures are unlikely to be predictive of changes in trend inflation.
John Crow and Paul Volcker must be beside themselves with rage – but we’ll just have to wait until the monetarists make their counterattack for the next installment in this saga.
The WSJ has another interesting story today, discussing the shortage of truck drivers. How do you fix a problem? Throw money at it!
Drivers typically receive training from big trucking companies or schools affiliated with them. Those who become independent contractors sign lease-to-own deals to purchase their vehicles, often with those same companies. But the terms are onerous, and drivers owe so much that they may end up working 70 or 80 hours a week just to pay back what they owe and cover expenses such as fuel and insurance. Drivers are suing some companies that use this model, saying they should be classified as employees rather than contractors.
Even those working as employees have a hard time making ends meet, partly because they are only paid for the miles they drive, not time waiting to load and unload their rigs or sitting in traffic. [sociologist and fellow at the University of Pennsylvania’s Robert A. Fox Leadership Program] Mr. [Steve] Viscelli recounts a 16-hour day spent crawling through traffic in the New York area, only to get stuck at a New Jersey rail yard for the night. That day he drove 215 miles and earned $56.
…
The industry could fix its labor shortage, Mr. Viscelli says, by raising pay enough to compensate for the hardships of the job or improving the terms for independent contractors. In 2015, heavy and tractor-trailer truck drivers earned a median wage of $40,260, according to the Bureau of Labor Statistics. Mr. Viscelli says that number masks the reality that most drivers work far more than 40 hours a week to get to that income.Wages have been rising over the past few years and some firms offer signing bonuses, according to ATA chief economist Bob Costello. Such measures helped bring down industrywide turnover from nearly 100% in 2012 to just over 90% in 2014. More recently, driver turnover has declined to around 80% due to less freight being shipped.
HIMIPref™ Preferred Indices These values reflect the December 2008 revision of the HIMIPref™ Indices Values are provisional and are finalized monthly |
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Index | Mean Current Yield (at bid) |
Median YTW |
Median Average Trading Value |
Median Mod Dur (YTW) |
Issues | Day’s Perf. | Index Value |
Ratchet | 0.00 % | 0.00 % | 0 | 0.00 | 0 | -0.1336 % | 2,089.9 |
FixedFloater | 0.00 % | 0.00 % | 0 | 0.00 | 0 | -0.1336 % | 3,834.8 |
Floater | 3.61 % | 3.82 % | 49,875 | 17.72 | 4 | -0.1336 % | 2,210.0 |
OpRet | 0.00 % | 0.00 % | 0 | 0.00 | 0 | 0.0313 % | 3,005.6 |
SplitShare | 4.98 % | 3.89 % | 62,958 | 0.74 | 5 | 0.0313 % | 3,589.4 |
Interest-Bearing | 0.00 % | 0.00 % | 0 | 0.00 | 0 | 0.0313 % | 2,800.6 |
Perpetual-Premium | 5.35 % | 4.61 % | 66,446 | 2.83 | 20 | 0.0607 % | 2,740.8 |
Perpetual-Discount | 5.16 % | 5.22 % | 99,887 | 15.00 | 18 | 0.0565 % | 2,918.7 |
FixedReset | 4.46 % | 4.15 % | 232,158 | 6.73 | 97 | 0.0104 % | 2,313.3 |
Deemed-Retractible | 5.04 % | -0.85 % | 135,962 | 0.14 | 31 | 0.0832 % | 2,858.6 |
FloatingReset | 2.48 % | 3.19 % | 50,874 | 4.62 | 9 | 0.0160 % | 2,471.5 |
Performance Highlights | |||
Issue | Index | Change | Notes |
MFC.PR.M | FixedReset | -1.29 % | YTW SCENARIO Maturity Type : Hard Maturity Maturity Date : 2025-01-31 Maturity Price : 25.00 Evaluated at bid price : 21.45 Bid-YTW : 5.95 % |
SLF.PR.J | FloatingReset | 1.19 % | YTW SCENARIO Maturity Type : Hard Maturity Maturity Date : 2025-01-31 Maturity Price : 25.00 Evaluated at bid price : 15.33 Bid-YTW : 8.74 % |
IAG.PR.A | Deemed-Retractible | 1.19 % | YTW SCENARIO Maturity Type : Hard Maturity Maturity Date : 2025-01-31 Maturity Price : 25.00 Evaluated at bid price : 22.90 Bid-YTW : 5.93 % |
SLF.PR.G | FixedReset | 1.23 % | YTW SCENARIO Maturity Type : Hard Maturity Maturity Date : 2025-01-31 Maturity Price : 25.00 Evaluated at bid price : 16.40 Bid-YTW : 8.49 % |
Volume Highlights | |||
Issue | Index | Shares Traded |
Notes |
MFC.PR.R | FixedReset | 170,087 | YTW SCENARIO Maturity Type : Call Maturity Date : 2022-03-19 Maturity Price : 25.00 Evaluated at bid price : 25.57 Bid-YTW : 4.33 % |
CU.PR.D | Perpetual-Discount | 151,600 | YTW SCENARIO Maturity Type : Limit Maturity Maturity Date : 2047-03-07 Maturity Price : 23.76 Evaluated at bid price : 24.25 Bid-YTW : 5.06 % |
MFC.PR.H | FixedReset | 118,493 | YTW SCENARIO Maturity Type : Hard Maturity Maturity Date : 2025-01-31 Maturity Price : 25.00 Evaluated at bid price : 23.85 Bid-YTW : 5.01 % |
TRP.PR.K | FixedReset | 116,682 | YTW SCENARIO Maturity Type : Call Maturity Date : 2022-05-31 Maturity Price : 25.00 Evaluated at bid price : 25.69 Bid-YTW : 4.36 % |
SLF.PR.I | FixedReset | 113,830 | YTW SCENARIO Maturity Type : Hard Maturity Maturity Date : 2025-01-31 Maturity Price : 25.00 Evaluated at bid price : 22.84 Bid-YTW : 5.17 % |
SLF.PR.A | Deemed-Retractible | 107,200 | YTW SCENARIO Maturity Type : Hard Maturity Maturity Date : 2025-01-31 Maturity Price : 25.00 Evaluated at bid price : 23.71 Bid-YTW : 5.55 % |
BIP.PR.D | FixedReset | 102,955 | YTW SCENARIO Maturity Type : Limit Maturity Maturity Date : 2047-03-07 Maturity Price : 23.18 Evaluated at bid price : 25.06 Bid-YTW : 4.88 % |
There were 39 other index-included issues trading in excess of 10,000 shares. |
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HSE.PR.A | FixedReset | Quote: 16.50 – 16.93 Spot Rate : 0.4300 Average : 0.2741 YTW SCENARIO |
CU.PR.C | FixedReset | Quote: 21.73 – 21.99 Spot Rate : 0.2600 Average : 0.1670 YTW SCENARIO |
RY.PR.N | Perpetual-Premium | Quote: 25.25 – 25.54 Spot Rate : 0.2900 Average : 0.2077 YTW SCENARIO |
RY.PR.O | Perpetual-Premium | Quote: 25.07 – 25.29 Spot Rate : 0.2200 Average : 0.1420 YTW SCENARIO |
PWF.PR.A | Floater | Quote: 14.80 – 15.15 Spot Rate : 0.3500 Average : 0.2758 YTW SCENARIO |
MFC.PR.R | FixedReset | Quote: 25.57 – 25.75 Spot Rate : 0.1800 Average : 0.1145 YTW SCENARIO |
of course, if we keep changing the way we measure so called “inflation” i’m sure we can get it to stay at 1% indefinitely.. stop measuring things that change and substitute with items that don’t change value.
“core inflation” strips out food and energy… a full reading of CPI doesn’t measure asset prices. hey.. why bother measuring skyrocketing house prices, that might mean CPI of 10% ..heck, let’s print even more money and make sure it goes into stocks. that doesn’t count either.
Interesting article on inflation perception.
If you don’t like the Statistics Canada definition of inflation, which one do you like?
i used to be able to buy a good pair of levi jeans, made in the US. good quality. lasted a long time. used to cost me brand new maybe $50 (1990’s). now, a new pair made in China will set you back $98. quality isn’t the same. have to buy new ones sooner than before.
bought a pair of work gloves. made in china. apparently good quality. they tore on me first day. sure, they were cheaper. have to buy them in bulk now. i spend more money and i go through them much faster.
but, i’m told the cost of apparel/clothing/shoes has gone down…
computer?. i have to get one every 2-3 years now as opposed to every 5-6. the technology may be better, but … i still have to spend more money. same for a TV. prices haven’t gone down. 5-6 years ago, i bought a 32″ LED LG for $350. the latest RCA 32″ sells for $325… but that’s not what i ended up buying. i had to get a 48″ smart tv with internet connectivity. set me back $800.. and i’m sure something will break down within the next few years, much faster than the tv i had 15-20 years ago.
i’m also told the cost of electronics has fallen…
but these things are only minor in comparison to the cost of real estate. i mean, they measure “associated” costs with owning a home. they don’t actually measure what it costs? what i have to pay for the actual house? i understand the thought process is that real estate is “regional”, but how many people live in the majour metropolitan areas of Canada? prices paid for homes has skyrocketed, and none of that is reflected in CPI
what about farmland? you know the rate at which farmland has been appreciating for the last 20 years in Canada? it’s not a consumer good, but money has moved into that sector.
so, we don’t measure real estate prices, even though they are probably averaging 7-9% compounded growth for the last 20 years (at least in toronto, and i’m sure in Vancouver, Calgary, Montreal etc et) and we have a near 70% ownership rate… so why do we use “renters equivalent” method?
the problem i have is StatsCan calling the CPI “inflation”. in my opinion it’s not. it’s simply a measure of some consumer goods. an imperfect one at best. but it’s used to price rents, pensions, bond yields, …..
I’m just asking questions James. not trying to be a smart ass.