February 8, 2018

So equities got crushed today and the media are breathlessly telling us it’s a correction:

•The S&P 500 Index fell 3.8 percent at the close in New York.
•The Dow Jones Industrial Average lost 4.1 percent and the Nasdaq 100 Index fell 4.2 percent.

•The yield on 10-year Treasuries fell less than one basis point to 2.83 percent.

It takes me back! I remember early in my career, in late October 1987, I was asked whether I thought “it” was a crash or a correction. I thought that was the stupidest question I’d ever heard. The market’s down 22%+ – stick that in your thesaurus, buddy. But I was young then and foolish and the guy was influential in the company, so I pretended that classifying things was very important and meaningful, particularly if they’re classed by multiples of ten.

The technical wizards at Canada’s leading financial oligarch showed off their prowess again today:

Royal Bank of Canada is once again in the hot seat with investors after its online brokerage platform – RBC Direct Investing – experienced technical difficulties that prevented clients from making trades just as markets were plummeting and the Dow headed towards a loss of more than 1,000 points.

RBC clients took to social media this afternoon to express their frustration with the rolling outages the bank has recently been experiencing since early January.

Thursday’s outage appeared to spike at 1 p.m. (ET) and remained through the market close.

“Our initial investigation indicates that this is related to a fibre optic cable, not to volumes. We have implemented a temporary solution and clients can now place orders online,” an RBC spokesperson said in an email to the Globe and Mail.

Regrettably, the journalist did not ask any questions about redundancy and fail-overs; but let us simply be grateful the regulators have placed the entire industry, just about, in such reliable and competent hands.

In a speech important enough to be reported in the Globe, Bank of Canada Senior Deputy Governor Carolyn A. Wilkins delivered an address at the G7 Symposium on Innovation and Inclusive Growth titled At the Crossroads: Innovation and Inclusive Growth:

It is perhaps only in the last decade or so that mainstream macroeconomists have sharpened their focus on how income distribution may affect long-term growth and macro dynamics. There is compelling evidence that innovation has been an important reason behind rising income inequality in advanced economies in recent decades.2 Research also finds that rising inequality can result in weaker and less-stable macroeconomic outcomes. This places us, as policy-makers, at a crossroads. Do we choose to stay on the same road and repeat the past? Or do we apply fresh thinking to policy and choose a new road where innovation delivers even stronger and more-inclusive growth?

There’s a lot of good research, including by people in this room, pointing to many possible forces at play. I think three stand out:
Technology has benefited skilled workers more than other workers because it has made them more productive. People in more-routine jobs have tended to be replaced entirely. Digitalization will likely reinforce this dynamic. Machine learning and other technologies mean that tasks requiring routine cognitive skills, such as reading medical scans or preparing legal and investment advice, can now be automated too. That said, I do not share the dystopian view of a world without workers. People will still have an absolute advantage in tasks that require common sense and a human touch. And they will also find employment in areas where they have a comparative advantage. The question is not so much whether there will be jobs for people, but, rather, how well they will pay, and what the working arrangements will be.8

Some types of technology lead to market concentration and the rise of “superstar” firms. These firms tend to have fewer employees than conventional companies and can earn impressive monopoly profits.9 Market concentration happens quite naturally in industries with prominent network effects and other scale economies. There is nothing new in that. Phone companies are traditional examples, and social media companies and online marketplaces are more-modern examples. What is new is that the “winner-takes-all” effect is magnified in the digital economy because user data have become another source of monopoly power. Data from a large network create a formidable barrier to entry. Another barrier to entry can come from firms using their position as gatekeepers to crucial online services to impede their competitors. And, it’s easier to avoid taxes when production is not tied to a large factory with a fixed physical location.10

Technology has helped to separate work into discrete tasks, allowing businesses to make more use of short-term, temporary jobs to maintain flexibility or respond to changing needs. Workers in these types of jobs tend to have less bargaining power than regular employees. They usually earn lower incomes, get fewer benefits and have less job security.11 This may be one reason why we have seen relatively weak wage growth in Canada and other G7 countries despite improving labour market conditions. With the current wave of innovation, the “gig economy” is likely to keep growing.12

I suggest that a major factor is simply the pace of innovation. It has long been known (except to regulators) that the lion’s share of the profit from innovation goes to the innovators. Nowadays, the pace of innovation is frenetic … while I would not want to state flatly that we have reached a maximum, we’re far removed from the medieval peasant ploughing his fields the same way his great-grandfather did, while secure in the knowledge that his great-grandson would be ploughing the same way. So, sure, more innovators, more disruption, more concentration of wealth among the lucky winners. And, what’s more, with every increase in our ever-increasing productivity, there is more time and funding available for a few more guys to sit quietly in a corner and wonder if maybe such-and-such might work. I don’t know when we’ll see the end of it … it’s a wild ride!

HIMIPref™ Preferred Indices
These values reflect the December 2008 revision of the HIMIPref™ Indices

Values are provisional and are finalized monthly
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 0.2388 % 2,934.9
FixedFloater 0.00 % 0.00 % 0 0.00 0 0.2388 % 5,385.4
Floater 3.38 % 3.58 % 60,054 18.31 4 0.2388 % 3,103.6
OpRet 0.00 % 0.00 % 0 0.00 0 -0.1400 % 3,148.0
SplitShare 4.66 % 4.22 % 66,701 4.12 5 -0.1400 % 3,759.3
Interest-Bearing 0.00 % 0.00 % 0 0.00 0 -0.1400 % 2,933.2
Perpetual-Premium 5.42 % 4.90 % 65,078 5.76 20 -0.1189 % 2,845.7
Perpetual-Discount 5.37 % 5.34 % 71,456 14.89 14 -0.1036 % 2,963.9
FixedReset 4.23 % 4.56 % 153,980 3.99 101 -0.2454 % 2,525.1
Deemed-Retractible 5.12 % 5.66 % 91,117 5.76 28 -0.0853 % 2,918.7
FloatingReset 3.03 % 2.94 % 41,401 3.75 10 0.0173 % 2,773.9
Performance Highlights
Issue Index Change Notes
BAM.PF.E FixedReset -1.42 % YTW SCENARIO
Maturity Type : Limit Maturity
Maturity Date : 2048-02-08
Maturity Price : 23.28
Evaluated at bid price : 23.60
Bid-YTW : 4.96 %
HSE.PR.A FixedReset -1.22 % YTW SCENARIO
Maturity Type : Limit Maturity
Maturity Date : 2048-02-08
Maturity Price : 17.77
Evaluated at bid price : 17.77
Bid-YTW : 5.12 %
HSE.PR.G FixedReset -1.15 % YTW SCENARIO
Maturity Type : Call
Maturity Date : 2020-06-30
Maturity Price : 25.00
Evaluated at bid price : 24.91
Bid-YTW : 5.01 %
BAM.PF.H FixedReset -1.15 % YTW SCENARIO
Maturity Type : Call
Maturity Date : 2020-12-31
Maturity Price : 25.00
Evaluated at bid price : 25.80
Bid-YTW : 4.04 %
MFC.PR.H FixedReset -1.03 % YTW SCENARIO
Maturity Type : Hard Maturity
Maturity Date : 2025-01-31
Maturity Price : 25.00
Evaluated at bid price : 24.95
Bid-YTW : 5.44 %
BNS.PR.D FloatingReset -1.02 % YTW SCENARIO
Maturity Type : Hard Maturity
Maturity Date : 2022-01-31
Maturity Price : 25.00
Evaluated at bid price : 23.27
Bid-YTW : 4.11 %
TRP.PR.H FloatingReset 1.04 % YTW SCENARIO
Maturity Type : Limit Maturity
Maturity Date : 2048-02-08
Maturity Price : 17.51
Evaluated at bid price : 17.51
Bid-YTW : 3.54 %
Volume Highlights
Issue Index Shares
Traded
Notes
CM.PR.S FixedReset 726,291 YTW SCENARIO
Maturity Type : Limit Maturity
Maturity Date : 2048-02-08
Maturity Price : 23.04
Evaluated at bid price : 24.65
Bid-YTW : 4.56 %
RY.PR.W Perpetual-Premium 197,550 YTW SCENARIO
Maturity Type : Call
Maturity Date : 2018-03-10
Maturity Price : 25.00
Evaluated at bid price : 24.97
Bid-YTW : 3.78 %
NA.PR.E FixedReset 196,357 YTW SCENARIO
Maturity Type : Limit Maturity
Maturity Date : 2048-02-08
Maturity Price : 23.05
Evaluated at bid price : 24.72
Bid-YTW : 4.66 %
RY.PR.Z FixedReset 126,088 YTW SCENARIO
Maturity Type : Limit Maturity
Maturity Date : 2048-02-08
Maturity Price : 23.31
Evaluated at bid price : 23.78
Bid-YTW : 4.51 %
RY.PR.H FixedReset 113,448 YTW SCENARIO
Maturity Type : Limit Maturity
Maturity Date : 2048-02-08
Maturity Price : 23.43
Evaluated at bid price : 23.84
Bid-YTW : 4.54 %
BNS.PR.Q FixedReset 105,706 YTW SCENARIO
Maturity Type : Hard Maturity
Maturity Date : 2022-01-31
Maturity Price : 25.00
Evaluated at bid price : 24.96
Bid-YTW : 3.89 %
BNS.PR.P FixedReset 101,578 YTW SCENARIO
Maturity Type : Hard Maturity
Maturity Date : 2022-01-31
Maturity Price : 25.00
Evaluated at bid price : 24.97
Bid-YTW : 4.26 %
There were 42 other index-included issues trading in excess of 10,000 shares.
Wide Spread Highlights
Issue Index Quote Data and Yield Notes
MFC.PR.F FixedReset Quote: 19.06 – 19.73
Spot Rate : 0.6700
Average : 0.4413

YTW SCENARIO
Maturity Type : Hard Maturity
Maturity Date : 2025-01-31
Maturity Price : 25.00
Evaluated at bid price : 19.06
Bid-YTW : 7.32 %

MFC.PR.H FixedReset Quote: 24.95 – 25.28
Spot Rate : 0.3300
Average : 0.1958

YTW SCENARIO
Maturity Type : Hard Maturity
Maturity Date : 2025-01-31
Maturity Price : 25.00
Evaluated at bid price : 24.95
Bid-YTW : 5.44 %

POW.PR.D Perpetual-Discount Quote: 23.63 – 24.12
Spot Rate : 0.4900
Average : 0.3670

YTW SCENARIO
Maturity Type : Limit Maturity
Maturity Date : 2048-02-08
Maturity Price : 23.34
Evaluated at bid price : 23.63
Bid-YTW : 5.33 %

PVS.PR.B SplitShare Quote: 25.27 – 25.62
Spot Rate : 0.3500
Average : 0.2305

YTW SCENARIO
Maturity Type : Hard Maturity
Maturity Date : 2019-01-10
Maturity Price : 25.00
Evaluated at bid price : 25.27
Bid-YTW : 4.01 %

BAM.PF.H FixedReset Quote: 25.80 – 26.16
Spot Rate : 0.3600
Average : 0.2468

YTW SCENARIO
Maturity Type : Call
Maturity Date : 2020-12-31
Maturity Price : 25.00
Evaluated at bid price : 25.80
Bid-YTW : 4.04 %

W.PR.K FixedReset Quote: 25.85 – 26.20
Spot Rate : 0.3500
Average : 0.2384

YTW SCENARIO
Maturity Type : Call
Maturity Date : 2021-01-15
Maturity Price : 25.00
Evaluated at bid price : 25.85
Bid-YTW : 4.16 %

4 Responses to “February 8, 2018”

  1. malcolmm says:

    Innovation may be frenetic but why then is productivity growth in both Canada and the US very low? Productivity growth over the last decade is much slower than is was in the 80’s and 90’s.

    I think part of the problem is that the tech industry is busy inventing useless apps that most waste time rather than save it. Facebook of course is a prime example but there are many others.

  2. BarleyandHops says:

    I think many things come into play. Blackberry created a slave nation of mid level folks who could now be tied to a 24/7 tether of work dynamics: and social media has created a cloud of (at the end of the day) who-really-cares-anyways state of existence.

    So yes, useless apps and the tech that has fostered the bloom is real in the current scheme of things. But this too shall pass.

  3. jiHymas says:

    Innovation may be frenetic but why then is productivity growth in both Canada and the US very low?

    I think the main thing is that a lot of the recent innovation has focussed on lifestyle issues rather than industrial uses; for instance, most of the drones produced nowadays are merely toys but there are a growing number of exceptions that will eventually have an effect.

    There is also the pace of disruption to be considered. If, for instance, I invent a drone system that delivers fast food and put it into play, there is no real increase in productivity at first, because all I’m doing is substituting one delivery method for another. An economy-wide increase in productivity will not be observed until the suddenly out of work deliverymen get new jobs doing something else. This takes time.

    Finally, there is also the matter of lifestyle improvements. Productivity is measured using GDP, which is notoriously insensitive to quality of life issues. To take one example, Facebook has certainly improved the quality of my life. I can stay in touch with old buddies and – more importantly for me – I can subscribe to specialized news feeds; curated (or is “edited” a better word?) feeds on technology, science and chess, as well as general news feeds from the States and the UK that provide a different perspective than that provided by the Globe & Mail. Facebook has improved my life – but all the GDP bean-counters see is me reading an article from “Interesting Engineering”, when I really should be using that time to take a part-time job sharpening pencils for the minimum wage.

    As for the future – one man’s output is another man’s input. Driverless cars will be (like Facebook) largely invisible to productivity, while driverless delivery and driverless transport will be largely a wash for the first few years, given mass layoffs of truck drivers. The benefits to productivity will not be observed until someone figures out how the lower costs of transport and delivery make possible a business that would not previously have been profitable.

  4. jiHymas says:

    McKinsey Global Institute has a more detailed explanation of low productivity growth:

    A McKinsey Global Institute discussion paper, The productivity puzzle: A closer look at the United States (PDF–449KB), undertakes a microanalysis and identifies six characteristics of the productivity-growth slowdown. These characteristics are low value-added growth during the recovery after the financial crisis; a shift in the composition of employment in the economy toward lower-productivity sectors; a lack of productivity-accelerating sectors after the financial crisis; weak capital-intensity growth; uneven rates of digitization across sectors, where the least digitized often are the largest sectors, with relatively low productivity; and diverging firm-level productivity, with slowing business dynamism.

    I hadn’t heard the term Solow Paradox before!

    The McKinsey paper addresses my ‘lifestyle improvement’ theme:

    It is also important to distinguish between areas of the US economy that we are probably measuring incorrectly, such as quality in health care and education, and areas that we may not be capturing at all, which include a broad range of household activities that fall outside the market economy included in GDP measures. Recent examples include services we do not directly pay for such as Google search, Facebook, and Skype. McKinsey & Company research focused on search found that the unmeasured value of search in the United States, that is the part not included in GDP, was about 27 percent of the total value it created for users.11 In another study, MGI focused on Skype and found that it generated enormous consumer surplus that was not measured anywhere.12 Forty percent of international call minutes in 2013 were Skype-to-Skype calls, equivalent to $37 billion of lost revenue for telecom firms. Again, this is not a new phenomenon: the advent of free radio and TV channels significantly broadened households’ access to information. While we know there are new, growing areas of economic activity that are not being captured in our measurement of productivity, estimates by Byrne, Fernald, and Reinsdorf suggest that adding the welfare gains from “free” digital services could add perhaps three-tenths of a percent of GDP per year to well-being, a small number compared with the productivity growth slowdown.13 Syverson estimates that even the largest, most conservative estimates of the surplus generated by digital technologies can explain at best a third of the slowdown in growth.14

Leave a Reply

You must be logged in to post a comment.