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ECONOMIC MONITORMarch 3, 2016
Prepared by:
Dr. Martin Murenbeeld &
Chantelle Schieven
ECONOMIC MONITOR
Dynamic Funds Economics2
Financial Markets Overview
The global economic outlook has been revised downward in recent weeks by the IMF and OECD, and the G-20 Communique of February 27 called for more policy initiatives to boost growth. (Some policy options are discussed in an essay herewith commencing on page 4.) Disappointing economic growth, low oil prices, and concerns over the financial/economic stability of China have continued to be major headwinds for North American equity markets. At the time of writing equity markets have rebounded somewhat, as immediate concerns have ebbed. US economic growth in 2015-Q4 was revised upwards to 1.0% and Canadian economic growth surprised by posting a 0.8% rate for 2015-Q4. The charts commencing on page 10 highlight just how the Canadian and US economy have fared in recent months; in short it has been spotty. Business investment is not contributing to growth in either Canada or the US; the net-exports category (weak import demand) is making the single largest contribution to Canadian growth, whereas household consumption is the single largest contributor to US growth. The lower Canadian dollar is expected to help the Canadian manufacturing sector in 2016, but the US will not likely benefit from US dollar weakness; indeed, the US dollar is expected to remain quite firm.
The forecasts this month call for: 1.► The FED to hike the federal funds rate only
once in 2016 – September.
2.► The BANK OF CANADA to stand pat on interest rates in 2016.
3.► BOND YIELDS to rise very modestly over the next four quarters on the back of some increase in the rate of headline inflation; low yields abroad will dampen any upward pressure on North American yields.
4.► The CANADIAN DOLLAR to trade in a somewhat higher range than forecast last month; but oil remains a wild card: lower oil prices threaten the Canadian dollar directly – though we think oil prices have about bottomed.
5.► The US DOLLAR to remain firm over the next four quarters, though we have flattened out the baseline forecasts for the yen, euro, and RMB; “Brexit” is the wild card in June and a Trump victory the wild card in November.
3Dynamic Funds Economics
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he n
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our q
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t is
upda
ted
mon
thly.
See
pag
es 4
5-46
fo
r our
alte
rnat
ive
scen
ario
s.
Sou
rce:
Wal
l Stre
et J
ourn
al, F
eder
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unde
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s
ECONOMIC MONITOR
Dynamic Funds Economics4
The Canadian Dollar Model by Rasim Jafarov
The Canadian dollar has been hit hard by the collapse of commodity prices in recent years and notably by the collapse of oil prices since 2014. Commodity prices are the most influential variables in our Canadian dollar model, which also includes such variables as the US/Canada short-term and long-term interest rate spreads and inflation differentials.
At February month-end, the model estimated that the fair value range for the Canadian dollar was 72.5 to 80.5 US cents, with 76.5 cents as the middle point of the range. We do not expect the Canadian dollar to rise to the middle point of this estimate soon, especially if oil prices remain at current levels (see our latest CAD forecasts in this Economic Monitor); models over/under-estimate reality all the time – see the chart below.
Yet, the model is still useful in providing us with a numerical range for “fair value”, and in providing some sense of how sensitive the dollar might be to changes in oil prices. A variation of the model below suggests that a 10% percent decline (rise) in the price of oil leads to a 2.8% decline (rise) in the Canadian dollar (i.e. a rise of about $3.00 in the oil price would add about 2 cents to the Canadian dollar, all else equal).
We’ll see how it goes. It’s not clear that the full weight of the commodity price/oil price plunge has yet worked its way through the Canadian economy. This means that interest rate developments in the US and Canada could yet lower the model’s estimate of “fair value” as the year progresses.
60
65
70
75
80
85
90
95
100
105
110
02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
MONTHLY CANADIAN DOLLAR MODEL
Variables:Interest rate differentialsInflation ratioOil price
Last month: February 2016
Actual: 74.0Estimated: 76.6
Source: Thomson Reuters Datastream, Dundee Economics
R-Squared .875
5Dynamic Funds Economics
Great Recession ended (all data are quarterly, seasonally adjusted at annual rates). Yes, this is low by post-recession standards, and attests to the severity of the Great Recession, but is positive – unlike what has been recorded in Europe and Japan.
Fiscal policy did provide significant support for the US economy during the Great Recession, but the Administration and Congress have not been able to forge a meaningful consensus on fiscal policy since then. The US budget deficit contracted once the economy began to expand again, and was a drag on US economic growth thereafter. Since 2010 the government sector’s contribution to quarterly economic growth averaged a minus .26%.
With the US dollar’s exchange value set abroad (by the Peoples’ Bank of China and other central banks – not by the US Treasury), US policymakers did not have the benefit of a lower dollar to help counter sluggish domestic growth in recent years. Indeed, US policymakers do not normally have an exchange rate policy option – unlike other policymakers. Net exports have subtracted an average .2% from quarterly US growth since the Great Recession.
Canadian policymakers have had a significant advantage over US policymakers; both monetary and exchange rate policies have been employed to deal with sluggish growth. Yes, the Canadian dollar floats freely, but that is a policy choice the Bank of Canada and the Government of Canada have made – and it has been an extremely beneficial policy choice. (Need we note that the Bank of Canada has “nudged” the Canadian dollar lower at propitious points in time?) The Canadian dollar declined dramatically during the Great Recession. It recovered as commodity prices around the world responded to improved global growth but recently, as oil and commodity prices have plunged, the dollar
Slow World Growth and Policy Options by Martin Murenbeeld
IMF Forecasts for world growth in 2016 have come down again; the IMF January Update forecast a 3.4% growth rate, which is down from 3.6% it forecast in its (Fall 2015) World Economic Outlook. (Readers may remember that anything below 4.0% is not helpful for commodity prices, because these typically decline year-over-year, inflation-adjusted, when world growth is less than 4.0%.) The OECD, too, revised downward the outlook in its February update. Together with other uncertainties, not least of which the outlook for oil prices, these downgrades have taken their toll on global equities.
The IMF’s January Update forecast the US economy will expand by 2.6% in 2016, and the Canadian economy by 1.7%. The OECD’s February Update forecast a 2.2% and 1.4% expansion for the US and Canadian economy respectively. Our expectations are modestly lower: in simple round numbers we look for 2.0% and 1.0% respectively. In short the outlook for the North American economy is also somewhat anemic.
How can policy help boost growth in North America – and in the US specifically? To organize the answer to this question we simplify the following discussion by classifying all policies as being either monetary, fiscal, or exchange rate. (“Restructuring”, a catchall for all other policies including, for example, legal changes in labor market legislation, falls outside of the present discussion – though is no less important.) Quick Review of Recent Policies in the US and Canada
In recent years, to keep economic growth from potentially contracting, US policymakers have relied heavily on monetary policy. But it has been difficult, and monetary policy has increasingly turned “unconventional”. The success however can be seen in the fact that the US economy has expanded by an average of 2.1% since the
ECONOMIC MONITOR
Dynamic Funds Economics6
interest rates and QE did not accomplish. Indeed some see NIRP as a “calamitous misadventure” (Ambrose Evans-Pritchard, writing in the Telegraph, February 17). One reason is that the efficacy of NIRP is enhanced in a “cashless” financial system (where money is in the form of electronic bank entries only). But no country runs a “cashless” financial/banking system! This means the public is able to escape NIRP by hoarding cash (in large-denominated bills for convenience).
But there are other reasons for NIRP to be less effective than advertised: banks have been loath to pass negative interest rates (levied on part of their reserves with the central bank) on to their depositors. NIRP will likely also encourage retiring baby boomers to spend less because their assets need be stretched over their remaining lives; household savings rates are likely to rise instead. Fourth, if/when the central banks decide to charge fees on issuing bank notes (on the issuance of $100 bills and €500 bills for example) the public will be encouraged to hoard “near-money” assets like gold outside of the banking system.
(Expecting the removal of large-denominated bills, some observers have opined that governments will quickly abolish private-sector hoarding of gold again, along with other “near-money” assets. If this happened public distrust in government and the financial system will grow dramatically! For example, public distrust in the Indian government and the Indian financial system is widespread, which is why gold hoarding is an entrenched fact of life. And as the Indian government has discovered with import duties and now its gold monetization schemes, gold hoarding, and the lack of confidence in the monetary system, is not easily reversed.)
So what monetary policy might come after NIRP? Some have suggested “helicopter money” is next! (We wrote in the February 19th Gold Monitor: “’Helicopter money’ … is a reference to pumping money – liquidity – directly into the financial system outside of the banking system. Milton Friedman famously suggested in 1969
has declined again. And, of course, the Bank has cut interest rates when required, though not yet to zero. Because of the highly flexible dollar, the Bank of Canada has not needed to adopt more “unconventional” monetary policies.
Canadian fiscal policy was supportive for the economy during the Great Recession, but the Harper government preferred an early return to balanced budgets as the Canadian economy basked in the sun of rising commodity prices. (Indeed, the government sector’s contribution to quarterly economic growth since 2010 has averaged exactly zero!) Demands for “fiscal stimulus” have escalated in recent quarters however as the Canadian economy has weakened on the back of plunging commodity prices; we accordingly expect the new Trudeau government to go “all in” on fiscal policy in coming quarters. Monetary Policy
In the following sections we will discuss the three policies in turn – with a view on what options are available.
Policymakers in the US, Canada, and abroad have relied heavily on monetary policies in recent years; first in response to the Great Recession, and thereafter to its disinflationary aftermath, to the continuing structural problems in Europe and now to the collapsing investment bubbles in many parts of Asia/China. In a sequence of stages, interest rates around the world have been cut to historic lows; unconventional policies, QE (the outright purchases of financial assets on the open market), have been adopted; and a number of countries have now introduced negative interest rates (NIRP – negative interest rate policies) - all to help boost consumption, investment and growth.
(Even the Fed allowed recently that NIRP was not off the FOMC’s table - that it had been discussed. The probability of the Fed actually adopting NIRP must be considered quite small at this stage however.)
It is doubtful NIRP will do much that near-zero
7Dynamic Funds Economics
(tongue-in-cheek?) that the Fed could always distribute money by distributing cash from helicopters for the public to gather up and spend”.) To quote AEP, cited above, helicopter money is “an injection of money directly into the veins of the real economy through fiscal stimulus … [paid for by] central bank transfers rather than government debt issuance”.
The following is one example of “helicopter money”, taken from “The ECB’s original sin and Franco Modigliani’s long view” (Voxeu.org, 02/19):
“The ECB has proven unable to raise inflation through its QE program. Higher price dynamics cannot be achieved if the monetary stimulus fails to reach the real economy. When the latter is in deep recession or deflation, and fiscal space is limited, only monetary finance can be effective as it allows newly created money to be transformed into additional (public or private sector) spending without raising public debt. One way to apply money finance at the whole EZ level would be through an initiative whereby the European Investment Bank would issue bonds to finance a large investment plan for the area, and the ECB would purchase the EIB bonds with newly created money. Through such initiative, money finance would pursue the inflation target by stimulating demand and reducing unemployment.”(Bolding added.)
In other words, “helicopter money” is the direct financing of public investment by the central bank, in infrastructure, defense, and other projects that will spin off employment and growth. The trick is to keep the debt purchased by the central bank off the books of the government, so as to ensure the government’s budget deficit and its overall debt level do not rise, and that the government isn’t on the hook for more interest payments. (Presumably that is why the authors above have the European Investment Bank borrowing from the ECB - not the Greek or German government.)
It must be noted here that “helicopter money”, the central bank financing (directly or indirectly) of government policies, is how Zimbabwe and most
Latin American countries at one time or another slipped into hyper-inflation - and then went bust. But we shouldn’t get carried away just yet; the FT’s Martin Wolf noted recently “the economic forces that have brought the world economy to zero real interest rates and, increasingly, negative central bank rates are, if anything, now strengthening … Policymakers must prepare for a new ‘new normal’ in which policy becomes more uncomfortable, more unconventional, or both” (see “Helicopter drops might not be far away”, FT.com, 02/23). Fiscal Policy
Which brings us to fiscal policy: in my view central bank financing of public infrastructure, defense, and other public assets crosses the line between monetary and fiscal policy. Any entity (i.e. the European Investment Bank) initiating infrastructural investment funded by the central bank is almost certain to be a public-sector entity. This means the liability of that entity to the central bank must perforce be a government liability (similar to other “unfunded” government liabilities that are not recorded in the annual budgetary accounts).
(If the entity were a private-sector entity then the central bank in question will have crossed a Rubicon of sorts; for example, the Bank of Canada and the Federal Reserve are not, to my knowledge, permitted to buy the debt of private entities directly. If a private-sector entity’s project is deemed important enough to be funded directly by the central bank, then elected officials and the finance ministry will of necessity be involved.)
Our view is that fiscal policy should be making more of a contribution to growth. If ever there was an argument for Keynesian policy stimulation it is presently! (Keynesian economics was borne out of the Great Depression, and the global economy is about as close to the Great Depression experience as is possible without actually being in a Great Depression.) Keynes argued that when the private sector exhibits insufficient demand, the public sector must step up to the plate – and I agree.
ECONOMIC MONITOR
Dynamic Funds Economics8
There is no limit to the projects in which governments can invest. (For a summary of necessary US infrastructural investments the reader can consult the American Society of Civil Engineers’ 2013 report card on US infrastructure: http://www.infrastructurereportcard.org/.) The market is also sending the government a message: when the US government is able to borrow hundreds of billions of dollars for 10 years at less than 2%, the US government ought to be able to find infrastructure and defense-related projects that will have an economic return to the economy exceeding 2%!
The reason fiscal policy has not made a contribution to growth is highlighted in the charts herewith: heavy spending on entitlements has left little room for infrastructural and defense-related spending. The combination of massive spending on entitlements with politically-mandated balanced budgets (or at the very least, modest budget deficits) negates large spending in the more traditional “make-work/boost-demand” areas of infrastructure and defense upgrades. A majority of politicians agree that North American infrastructure needs upgrading, but many are unwilling to incur the large budget deficits that come with infrastructural spending. Hence, the option of “helicopter money”: central bank funding of necessary projects outside of the fiscal (political) process!
The obvious solution is not “helicopter money” however, but fiscal policy restructuring! Room has to be found in budgets for infrastructure spending, defense upgrades, and other publicly important assets. (We may, and will, debate how much infrastructural investment should be done by the public sector versus how much by the private sector, because the public sector typically runs inefficient and high-cost operations, but the time horizon on public projects is generally longer than the private sector is willing to undertake without
some form of public-sector guarantee.) Even so, western governments must reduce
“entitlements” and make room for more important fiscal initiatives. Excessive entitlements, defined simplistically as a government payment for which no work need be performed, has been instrumental in the present economic malaise for at least two reasons: entitlements reduce the fiscal room for more growth-oriented fiscal initiatives and entitlements increase the unhealthy, economically-regressive, attitude among the public that the government is responsible for an individual’s well-being.
Entitlements dominate fiscal expenditures …
0
10
20
30
40
50
60
70
1970 1975 1980 1985 1990 1995 2000 2005 2010 2015Annual data (last year 2015)
US Budget:Percent of total outlays Entitlements
DefenseInterest on Debt
Other
Source: Bureau of Economic Analysis, Dundee Economics
Leaving no room for defense and infrastructure
Source: BEA, Dundee Economics
9Dynamic Funds Economics
We have argued in favor of a flat income tax, a consumption tax, zero corporate tax, a suitably high minimum income before the flat tax kicks in, and a withholding tax on interest and dividend payments to non-residents (with zero corporate taxes the government will lose revenues on such payments to non-residents; such payments to residents will be included in their income and will incur the flat tax). We have also argued that “tax expenditures”, which in the US total over $1 trillion and include mortgage interest rate deductibility (for a quick summary of US tax expenditures please see: http://www.gao.gov/key_issues/tax_expenditures/issue_summary), should be cut back dramatically, because they are/were politically-motivated and distort the market’s process of resource allocation.
With respect to entitlements, the government should replace public sector provisions with private sector insurances at its earliest opportunity, and repeal the programs that do little more than enrich the bureaucracies that oversee such programs.
(Yes, US medical care costs more than elsewhere, but it is also the best medical care for those who can afford it. Tort reform would do wonders for lowering the cost of medical care, however, as would legal action against entrenched monopolies. But let me quote Milton Friedman on health care: “Two simple observations are key to explaining both the high level of spending on medical care and the dissatisfaction with that spending. The first is that most payments to physicians or hospitals or other caregivers for medical care are made not by the patient but by a third party - an insurance company or employer or governmental body. The second is that nobody spends somebody else’s money as wisely or as frugally as he spends his own”, taken from “How to Cure Health Care” in The Public Interest, winter 2001. My point is that there are serious market distortions in the provision of “entitlements” that do nothing other than raise the costs thereof.)
One last comment on fiscal policy! Bernie
Sanders is a very likeable individual, undoubtedly; but his fiscal policies (with which most Canadians are already well versed) will absolutely worsen the economic malaise that now grips the US economy. Canada, in its good fortune, has had the benefit of periodic commodity cycles to “hide” its governments’ destructive fiscal policies (at both federal and provincial levels), but Canada’s lack of a credible military force, with credible military equipment, is an obvious sign of rot in the fiscal system. Europe is worse; its entitlement structure is gigantic and it must accordingly depend upon the US for defense. Were it not for the US entrepreneurial class’ massive contribution to economic well-being the US, too, would find itself unable to maintain its military expenditures at current levels. US infrastructural spending is, of course, already woefully inadequate. Exchange Rate Policy
Few economists think of “exchange rate policy”, though Canadian economist more than most. (Some of the more famous “international” economists were Canadian!) In my opinion, Canada has the ideal exchange rate policy: the Canadian dollar floats … freely. When demand for Canadian resources threatens to balloon domestic inflation the rise in the dollar helps to moderate the pressure. Currently, a weaker dollar helps to (1) keep inflation near 2% and (2) contain unemployment levels as the economy shifts from resource production to the production of other goods and services. And the Bank of Canada has been spared from adopting negative interest rates.
The US dollar “floats”, though not freely; its exchange value is set by other central banks – those that manage their currencies closely. This has always been a problem for the US; it has no direct control over its currency’s value. (This was understood and accepted by the US, but was weighed against the advantage of issuing the world’s reserve currency.) Accordingly, there have been periods in recent history when the US has had to force dollar devaluation onto the global system. (The natural tendency of most countries
ECONOMIC MONITOR
Dynamic Funds Economics10
is to manipulate their currencies lower against the US dollar – which then has to be corrected.)
From an economic point of view, the US dollar is seriously overvalued today. This has led to massive downward pressure on US inflation, employment and growth – which the Fed has acknowledged many times in recent years. Some of the US economic malaise is therefore due to the dollar’s overvaluation against the RMB (other SE Asian currencies), the yen, and the euro.
A weaker dollar would also help address the structural problems of China and Japan. China needs to orient its production to domestic consumption – not foreign consumption; but it won’t thank the US in the event the US was able to devalue the dollar against the RMB. Europe has massive structural problems, some of which are alleviated by the massively undervalued euro. But this too comes at a significant cost in US growth and employment.
In short, there are a number of structural problems that underlie the dollar’s overvaluation – and we have said nothing about the structural “problem” of excessive US consumption (which would be corrected with consumption taxes and a flat income tax). These structural problems all feed into the underperformance of the US economy.
So what is to be done? Republicans appear intent upon redressing the situation. I have said elsewhere that a Donald Trump administration will devalue the dollar – one way or another. One way is with another Plaza Accord. (“The Plaza Accord or Plaza Agreement was an agreement between the governments of France, West Germany, Japan, the United States, and the United Kingdom, to depreciate the U.S. dollar in relation to the Japanese yen and German Deutsche Mark by intervening in currency markets. The five governments signed the accord on September
22, 1985 at the Plaza Hotel in New York City”, Wikipedia.) It is doubtful that China, Japan and the EU would agree to such an accord today however.
The other way to devalue the dollar is with import tariffs/duties/taxes! This doesn’t help US exporters, but it certainly helps import-competing firms. It also puts other countries on notice that if they want access to US consumers they have to adopt “fair trade” practices.
(“Fair trade” is often a euphemism for protectionism, but one can also think of it as reciprocal-trade fairness: “Do unto trade partners what they do to you”. It’s a slippery slope and the US has been loath to adopt many of the trade policies widely used abroad, but redressing an inherent unfairness in international trade is important when the overriding concern in the US is “secular stagnation”.) Conclusion
Without some important shifts in fiscal and exchange rate policies western economies face a lengthy period of weak, quasi-recessionary growth. We do not think a global recession is highly probable, nor a US economic recession, in the next several years. But a better set of policies would reduce the probability of recession and most certainly lead to better economic outcomes. The need for a major cutback in the “entitlement” system, which now overrules expenditures in the more traditional (if not also more important) areas of infrastructural and defense expenditures, is of paramount importance, in our opinion. So are the aforementioned tax policy changes. And the global system has to come to some agreement on currency realignment, if not also a system of penalties to refrain currencies from becoming seriously over/undervalued. Prolonged currency misalignment breeds protectionism – in its worst forms.
11Dynamic Funds Economics
MONTHLY REVIEW ►CANADA – ECONOMIC GROWTH
-10
-8
-6
-4
-2
0
2
4
6
8
90 92 94 96 98 00 02 04 06 08 10 12 14 16
CANADA GROSS DOMESTIC PRODUCT
Annualized growth rate Last quarter: 2015 Q4
Source: Statistics Canada
-1.6-1.4-1.2
-1.0-0.8-0.6-0.4
-0.20.00.20.4
0.60.81.0
2008 2009 2010 2011 2012 2013 2014 2015 2016
CANADA MONTHLY GDP
Last month: December 2015Percent change month-to-month
Source: Statistics Canada
-10
-8
-6
-4
-2
0
2
4
6
8
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA GDP FORECAST
Annualized quarterly rate of change
Forecastthrough
2016
Source: Statistics Canada, Dundee Economics
-4
-3
-2
-1
0
1
2
3
4
5
13 Q1 13-Q2 13-Q3 13-Q4 14-Q1 14-Q2 14-Q3 14-Q4 15-Q1 15-Q2 15-Q3 15-Q4
ConsumptionInvestmentGovernmentNet Exports
CONTRIBUTION TO GDP IN RECENT QUARTERS0.8%3.3% -0.8% -0.4%3.9% 0.5% 3.7% 2.1%4.1% 1.8% 2.8% GDP
Contributionto GDP %
** Average of last 12 quarters: 2.02%Source: Statistics Canada
2.5%
-10
-8
-6
-4
-2
0
2
4
6
8
90 92 94 96 98 00 02 04 06 08 10 12 14 16
CANADA GROSS DOMESTIC PRODUCT
Annualized growth rate Last quarter: 2015 Q4
Source: Statistics Canada
-1.6-1.4-1.2
-1.0-0.8-0.6-0.4
-0.20.00.20.4
0.60.81.0
2008 2009 2010 2011 2012 2013 2014 2015 2016
CANADA MONTHLY GDP
Last month: December 2015Percent change month-to-month
Source: Statistics Canada
The Canadian economy grew at 0.8% (annualized) in the fourth quarter and averaged 0.5% for
the four quarters of 2015.
Monthly GDP also advanced 0.3% in November and December.
Our GDP forecast calls for 1.0% growth in 2016, which is
an improvement over 2015.
Dynamic Funds Economics12
ECONOMIC MONITOR
Net-exports made the largest contribution to GDP in 2015-Q4.
Business investment continued to be a major drag on GDP growth.
MONTHLY REVIEW ►CANADA – ECONOMIC GROWTH
-1.0
-0.5
0.0
0.5
1.0
1.5
13 Q1 13-Q2 13-Q3 13-Q4 14-Q1 14-Q2 14-Q3 14-Q4 15-Q1 15-Q2 15-Q3 15-Q4
Durable GoodsNondurable GoodsServices
C: HOUSEHOLD CONSUMPTION0.5%1.4% 0.3% 1.2%1.4% 0.4% 2.4% 1.6%1.2% 1.8% 1.5% C**
Contributionto GDP %
** Average of last 12 quarters: 1.24%Source: Statistics Canada
1.2%
-3
-2
-1
0
1
2
3
4
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
NonresidentialResidentialInventories
I: INVESTMENT-2.5%2.1% -1.7% -2.7%0.7% -0.7% -2.0% -0.6%2.4% -0.8% 1.9% I**
Contributionto GDP %
** Average of last 12 quarters: -0.56%Source: Statistics Canada
-2.8%
-1.0
-0.5
0.0
0.5
1.0
1.5
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
Consumption Expenditure
Fixed Capital Formation
G:GOVERNMENT0.1%0.2% 0.8% 0.6%0.3% 0.8% 0.1%-0.4%-0.9% 0.2% G**
Contributionto GDP %
** Average of last 12 quarters: 0.12%
-0.4%
-4
-2
0
2
4
6
8
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
Exports
Imports
Net
X-M: FOREIGN BALANCE2.4%-0.2% -0.3% 0.5%1.6% 0.7% 2.9% 0.6%1.0% 1.6% -0.9% X-M**
Contributionto GDP %
** Average of last 12 quarters: 1.03%
Source: Statistics Canada
Source: Statistics Canada
0.0%
4.1%
-10
-8
-6
-4
-2
0
2
4
6
8
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA GDP FORECAST
Annualized quarterly rate of change
Forecastthrough
2016
Source: Statistics Canada, Dundee Economics
-4
-3
-2
-1
0
1
2
3
4
5
13 Q1 13-Q2 13-Q3 13-Q4 14-Q1 14-Q2 14-Q3 14-Q4 15-Q1 15-Q2 15-Q3 15-Q4
ConsumptionInvestmentGovernmentNet Exports
CONTRIBUTION TO GDP IN RECENT QUARTERS0.8%3.3% -0.8% -0.4%3.9% 0.5% 3.7% 2.1%4.1% 1.8% 2.8% GDP
Contributionto GDP %
** Average of last 12 quarters: 2.02%Source: Statistics Canada
2.5%
-1.0
-0.5
0.0
0.5
1.0
1.5
13 Q1 13-Q2 13-Q3 13-Q4 14-Q1 14-Q2 14-Q3 14-Q4 15-Q1 15-Q2 15-Q3 15-Q4
Durable GoodsNondurable GoodsServices
C: HOUSEHOLD CONSUMPTION0.5%1.4% 0.3% 1.2%1.4% 0.4% 2.4% 1.6%1.2% 1.8% 1.5% C**
Contributionto GDP %
** Average of last 12 quarters: 1.24%Source: Statistics Canada
1.2%
-3
-2
-1
0
1
2
3
4
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
NonresidentialResidentialInventories
I: INVESTMENT-2.5%2.1% -1.7% -2.7%0.7% -0.7% -2.0% -0.6%2.4% -0.8% 1.9% I**
Contributionto GDP %
** Average of last 12 quarters: -0.56%Source: Statistics Canada
-2.8%
-1.0
-0.5
0.0
0.5
1.0
1.5
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
Consumption Expenditure
Fixed Capital Formation
G:GOVERNMENT0.1%0.2% 0.8% 0.6%0.3% 0.8% 0.1%-0.4%-0.9% 0.2% G**
Contributionto GDP %
** Average of last 12 quarters: 0.12%
-0.4%
-4
-2
0
2
4
6
8
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
Exports
Imports
Net
X-M: FOREIGN BALANCE2.4%-0.2% -0.3% 0.5%1.6% 0.7% 2.9% 0.6%1.0% 1.6% -0.9% X-M**
Contributionto GDP %
** Average of last 12 quarters: 1.03%
Source: Statistics Canada
Source: Statistics Canada
0.0%
4.1%
13Dynamic Funds Economics
-16
-12
-8
-4
0
4
8
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA INDUSTRIAL PRODUCTION
Last month: December 2015Percent change year-over-year
Source: Statistics Canada
69
72
75
78
81
84
87
90
87 90 93 96 99 02 05 08 11 14
CANADA CAPACITY UTILIZATION
Last Quarter: 2015-Q3
Percent
Source: Statistics Canada
Average 1968 to date 81.8
MONTHLY REVIEW ►CANADA – ECONOMIC GROWTH
-8
-6
-4
-2
0
2
4
6
8
10
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA RETAIL SALES
Last month: December 2015Percent change year-over-year
Includes price changes
Source: Statistics Canada
1.20
1.25
1.30
1.35
1.40
1.45
1.50
1.55
1.60
1.65
1.70
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA INVENTORY-TO-SHIPMENTS RATIO
Last month: November 2015
Source: Statistics Canada
-16
-12
-8
-4
0
4
8
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA INDUSTRIAL PRODUCTION
Last month: December 2015Percent change year-over-year
Source: Statistics Canada
69
72
75
78
81
84
87
90
87 90 93 96 99 02 05 08 11 14
CANADA CAPACITY UTILIZATION
Last Quarter: 2015-Q3
Percent
Source: Statistics Canada
Average 1968 to date 81.8
Industrial production has been negative year-over-year for the last four months and is likely to remain depressed for some time to come.
Capacity utilization will likely also decline somewhat further in 2016.
The growth in retail sales has averaged a modest 2.3%
for the last six months.
Dynamic Funds Economics14
ECONOMIC MONITOR
MONTHLY REVIEW ►CANADA – ECONOMIC GROWTH
-30
-25
-20
-15
-10
-5
0
5
10
15
20
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA MANUFACTURING SHIPMENTS
Last month: December 2015Percent change year-over-year
Source: Statistics Canada
-40
-30
-20
-10
0
10
20
30
40
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA MANUFACTURING NEW ORDERS
Last month: December 2015Percent change year-over-year
Source: Statistics Canada
-30
-25
-20
-15
-10
-5
0
5
10
15
20
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA MANUFACTURING SHIPMENTS
Last month: December 2015Percent change year-over-year
Source: Statistics Canada
-40
-30
-20
-10
0
10
20
30
40
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA MANUFACTURING NEW ORDERS
Last month: December 2015Percent change year-over-year
Source: Statistics Canada
... and new orders have averaged a negative 4.0% for the last 12-months.
... shipments have averaged a negative 1.5% for the last
12-months (year-over-year) ...
The manufacturing sector remains weak.
The inventory ratio continues to trend upwards ...
-8
-6
-4
-2
0
2
4
6
8
10
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA RETAIL SALES
Last month: December 2015Percent change year-over-year
Includes price changes
Source: Statistics Canada
1.20
1.25
1.30
1.35
1.40
1.45
1.50
1.55
1.60
1.65
1.70
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA INVENTORY-TO-SHIPMENTS RATIO
Last month: November 2015
Source: Statistics Canada
15Dynamic Funds Economics
-120
-100
-80
-60
-40
-20
0
20
40
60
80
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA JOB CREATION
Last month: January 2016000s, 3-month moving average
Source: Statistics Canada
5.5
6.0
6.5
7.0
7.5
8.0
8.5
9.0
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA UNEMPLOYMENT RATE
Last month: January 2016Percent
Source: Statistics Canada
MONTHLY REVIEW ►CANADA – LABOUR MARKET
64.0
64.5
65.0
65.5
66.0
66.5
67.0
67.5
68.0
90 92 94 96 98 00 02 04 06 08 10 12 14 16
CANADA LABOUR FORCE PARTICIPATION RATE
Last month: January 2016
Source: Statistics Canada
% of non-institutional population 16 and over in the labor force
CANADA AVERAGE WEEKLY EARNINGS
-4
-2
0
2
4
6
8
10
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: December 2015Percent change year-over-year
Total
Public Administration
Source: Statistics Canada
-120
-100
-80
-60
-40
-20
0
20
40
60
80
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA JOB CREATION
Last month: January 2016000s, 3-month moving average
Source: Statistics Canada
5.5
6.0
6.5
7.0
7.5
8.0
8.5
9.0
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA UNEMPLOYMENT RATE
Last month: January 2016Percent
Source: Statistics Canada
... and the labour force participation rate remains below 66%.
... the unemployment rate ticked up to 7.2% in January (from 7.1% in December) ...
Canada’s labour market remains weak.
Job creation was negative in January ...
Dynamic Funds Economics16
ECONOMIC MONITOR
CANADA INDUSTRIAL PRODUCT PRICE INFLATION
-10
-8
-6
-4
-2
0
2
4
6
8
10
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: January 2016Percent change year-over-year
Source: Statistics Canada
-2
-1
0
1
2
3
4
5
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Headline CPICore CPI
CANADA CONSUMER PRICE INFLATION
Target band
Last month: January 2016Percent change year-over-year
Source: Statistics Canada
0
2
4
6
8
10
92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Difference (inflation expectation)Long term bondReal Return Bonds
CANADA INFLATION EXPECTATIONS
Last month: February 2016
Source: Bank of Canada, Dundee Economics
100
120
140
160
180
200
220
240
260
280
300
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA HOUSING STARTS
Last month: January 2016
000s, total, all areas
Source: Canada Mortgage & Housing Corporation
Headline CPI increased to 2.0% in January from 1.6% in December
on the back of higher food prices, however inflation expectations
declined further in February. We do not expect inflation to be an
issue for the Bank of Canada in 2016.
64.0
64.5
65.0
65.5
66.0
66.5
67.0
67.5
68.0
90 92 94 96 98 00 02 04 06 08 10 12 14 16
CANADA LABOUR FORCE PARTICIPATION RATE
Last month: January 2016
Source: Statistics Canada
% of non-institutional population 16 and over in the labor force
CANADA AVERAGE WEEKLY EARNINGS
-4
-2
0
2
4
6
8
10
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: December 2015Percent change year-over-year
Total
Public Administration
Source: Statistics Canada
MONTHLY REVIEW ►CANADA – INFLATION
CANADA INDUSTRIAL PRODUCT PRICE INFLATION
-10
-8
-6
-4
-2
0
2
4
6
8
10
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: January 2016Percent change year-over-year
Source: Statistics Canada
-2
-1
0
1
2
3
4
5
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Headline CPICore CPI
CANADA CONSUMER PRICE INFLATION
Target band
Last month: January 2016Percent change year-over-year
Source: Statistics Canada
17Dynamic Funds Economics
... with Vancouver and Toronto driving the increase in house prices.
... but new house prices continue to increase at a 1.5% rate ...
0
2
4
6
8
10
92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Difference (inflation expectation)Long term bondReal Return Bonds
CANADA INFLATION EXPECTATIONS
Last month: February 2016
Source: Bank of Canada, Dundee Economics
100
120
140
160
180
200
220
240
260
280
300
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA HOUSING STARTS
Last month: January 2016
000s, total, all areas
Source: Canada Mortgage & Housing Corporation
CANADA NEW HOUSE PRICES
40
50
60
70
80
90
100
110
120
81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13 15-12
-8
-4
0
4
8
12
16
20
Source: Statistics Canada
Index, 2007=100
Last month: December 2015
Percent change year-over-year
-2 -1 0 1 2 3 4 5
St. John'sHalifax
Fredericton
MontrealOttawa-Hull
Toronto
KitchenerWinnipeg
Regina
SaskatoonCalgary
Edmonton
VancouverVictoria
CANADA NEW HOUSE PRICES
December 2015
Percent change year-over-year
Source: Statistics Canada
CANADA NEW HOUSE PRICES
40
50
60
70
80
90
100
110
120
81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13 15-12
-8
-4
0
4
8
12
16
20
Source: Statistics Canada
Index, 2007=100
Last month: December 2015
Percent change year-over-year
-2 -1 0 1 2 3 4 5
St. John'sHalifax
Fredericton
MontrealOttawa-Hull
Toronto
KitchenerWinnipeg
Regina
SaskatoonCalgary
Edmonton
VancouverVictoria
CANADA NEW HOUSE PRICES
December 2015
Percent change year-over-year
Source: Statistics Canada
Canada’s housing market is mixed.
Housing starts declined sharply in December and January ...
MONTHLY REVIEW ►CANADA – HOUSING MARKET
Dynamic Funds Economics18
ECONOMIC MONITOR
CANADA – TERANET HOUSE PRICE INDEX
50
75
100
125
150
175
200
00 02 04 06 08 10 12 14 16-8
-4
0
4
8
12
16
Source: Teranet (National Bank)
Composite 11 City Index
Last month: January 2016
Percent change year-over-year
TORONTO – TERANET HOUSE PRICE INDEX
60
80
100
120
140
160
180
200
00 02 04 06 08 10 12 14 16-8
-4
0
4
8
12
16
20
Source: Teranet (National Bank)
IndexPercent change
year-over-year
Last month: January 2016
VANCOUVER – TERANET HOUSE PRICE INDEX
60
80
100
120
140
160
180
200
220
00 02 04 06 08 10 12 14 16-15
-10
-5
0
5
10
15
20
25
Source: Teranet (National Bank)
IndexPercent change
year-over-year
CALGARY – TERANET HOUSE PRICE INDEX
60
80
100
120
140
160
180
200
00 02 04 06 08 10 12 14 16-20
-10
0
10
20
30
40
50
Source: Teranet (National Bank)
Index
Percent change year-over-year
Last month: January 2016
Last month: January 2016
CANADA – TERANET HOUSE PRICE INDEX
50
75
100
125
150
175
200
00 02 04 06 08 10 12 14 16-8
-4
0
4
8
12
16
Source: Teranet (National Bank)
Composite 11 City Index
Last month: January 2016
Percent change year-over-year
TORONTO – TERANET HOUSE PRICE INDEX
60
80
100
120
140
160
180
200
00 02 04 06 08 10 12 14 16-8
-4
0
4
8
12
16
20
Source: Teranet (National Bank)
IndexPercent change
year-over-year
Last month: January 2016
MONTREAL – TERANET HOUSE PRICE INDEX
40
60
80
100
120
140
160
00 02 04 06 08 10 12 14 16-3
0
3
6
9
12
15
Source: Teranet (National Bank)
Index
Percent change year-over-year
OTTAWA – TERANET HOUSE PRICE INDEX
60
80
100
120
140
160
00 02 04 06 08 10 12 14 16-3
0
3
6
9
12
Source: Teranet (National Bank)
Index
Percent change year-over-year
Last month: January 2016
Last month: January 2016
VANCOUVER – TERANET HOUSE PRICE INDEX
60
80
100
120
140
160
180
200
220
00 02 04 06 08 10 12 14 16-15
-10
-5
0
5
10
15
20
25
Source: Teranet (National Bank)
IndexPercent change
year-over-year
CALGARY – TERANET HOUSE PRICE INDEX
60
80
100
120
140
160
180
200
00 02 04 06 08 10 12 14 16-20
-10
0
10
20
30
40
50
Source: Teranet (National Bank)
Index
Percent change year-over-year
Last month: January 2016
Last month: January 2016
MONTHLY REVIEW ►CANADA – HOUSING MARKET
According to the Teranet 11 city composite house price index, existing house prices continued to increase by over 6% in January (year-over-year). House prices in Calgary are looking increasingly depressed however.
MONTREAL – TERANET HOUSE PRICE INDEX
40
60
80
100
120
140
160
00 02 04 06 08 10 12 14 16-3
0
3
6
9
12
15
Source: Teranet (National Bank)
Index
Percent change year-over-year
OTTAWA – TERANET HOUSE PRICE INDEX
60
80
100
120
140
160
00 02 04 06 08 10 12 14 16-3
0
3
6
9
12
Source: Teranet (National Bank)
Index
Percent change year-over-year
Last month: January 2016
Last month: January 2016
19Dynamic Funds Economics
0
2
4
6
8
10
12
14
16
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: December 2015
Percent change year-over-year
CANADA CONSUMER CREDIT GROWTH
Source: Bank of Canada
250
300
350
400
450
500
550
600
07 08 09 10 11 12 13 14 15 16
Last month: December 2015
$ volume, billions
CANADA CONSUMER CREDIT
Source: Bank of Canada0
2
4
6
8
10
12
14
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: December 2015Percent change year-over-year
CANADA RESIDENTIAL MORTGAGE CREDIT GROWTH
Source: Bank of Canada
500
600
700
800
900
1000
1100
1200
1300
1400
07 08 09 10 11 12 13 14 15 16
Last month: December 2015
$ volume, billions
CANADA RESIDENTIAL MORTGAGE CREDIT
Source: Bank of Canada
-2
-1
0
1
2
3
4
5
6
7
8
9
10
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: January 2016Percent change year-over-year
CANADA TOTAL BUSINESS CREDIT GROWTH
Source: Bank of Canada
1000
1100
1200
1300
1400
1500
1600
1700
1800
07 08 09 10 11 12 13 14 15 16
Last month: January 2016
$ volume, billions
CANADA TOTAL BUSINESS CREDIT
Source: Bank of Canada
MONTHLY REVIEW ►CANADA – CREDIT AND DEBT
0
2
4
6
8
10
12
14
16
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: December 2015
Percent change year-over-year
CANADA CONSUMER CREDIT GROWTH
Source: Bank of Canada
250
300
350
400
450
500
550
600
07 08 09 10 11 12 13 14 15 16
Last month: December 2015
$ volume, billions
CANADA CONSUMER CREDIT
Source: Bank of Canada0
2
4
6
8
10
12
14
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: December 2015Percent change year-over-year
CANADA RESIDENTIAL MORTGAGE CREDIT GROWTH
Source: Bank of Canada
500
600
700
800
900
1000
1100
1200
1300
1400
07 08 09 10 11 12 13 14 15 16
Last month: December 2015
$ volume, billions
CANADA RESIDENTIAL MORTGAGE CREDIT
Source: Bank of Canada-2
-1
0
1
2
3
4
5
6
7
8
9
10
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: January 2016Percent change year-over-year
CANADA TOTAL BUSINESS CREDIT GROWTH
Source: Bank of Canada
1000
1100
1200
1300
1400
1500
1600
1700
1800
07 08 09 10 11 12 13 14 15 16
Last month: January 2016
$ volume, billions
CANADA TOTAL BUSINESS CREDIT
Source: Bank of Canada
Consumer credit growth appears to be stabilizing around 3%; mortgage credit and total business credit growth are both in excess of 6% however.
Dynamic Funds Economics20
ECONOMIC MONITOR
4000
6000
8000
10000
12000
14000
16000
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
S&P/TSX COMOSITE
Index
Weekly, Friday dataLast date: February 26, 2016
Source: Thomson Reuters DataStream
55
60
65
70
75
80
85
90
95
100
105
110
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADIAN DOLLAR
Source: Wall Street Journal
US Cents
WeeklyLast date: February 26, 2016
4000
6000
8000
10000
12000
14000
16000
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
S&P/TSX COMOSITE
Index
Weekly, Friday dataLast date: February 26, 2016
Source: Thomson Reuters DataStream
55
60
65
70
75
80
85
90
95
100
105
110
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADIAN DOLLAR
Source: Wall Street Journal
US Cents
WeeklyLast date: February 26, 2016
0
20
40
60
80
100
120
140
160
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
OIL PRICENYMEX
Weekly, Friday dataLast date: February 26, 2016US$/bbl
Source: Wall Street Journal
0
1
2
3
4
5
6
7
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA GOVERNMENT BONDS
T-bills
10-year bond
Percent
Source: Bank of Canada
Weekly, Friday dataLast date: February 26, 2016
The S&P/TSX composite index remains volatile, and is still down
from its April 2015 highs.
... on the back of a modest rise in oil prices.
The Canadian dollar increased somewhat in February (see page 3 for Canadian dollar commentary) ...
MONTHLY REVIEW ►CANADA – ASSET PRICES
21Dynamic Funds Economics
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
06 07 08 09 10 11 12 13 14 15 16
CANADA-US LONG TERM YIELD DIFFERENTIALS
WeeklyLast date: February 26, 2016
10-Year
30-Year
Source: Bank of Canada, Federal Reserve
3
4
5
6
7
8
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA LONG-TERM CORPORATE BOND YEILDS Percent
Source: Thomson Reuters Datastream
Weekly, Friday dataLast date: February 26, 2016
-1.0
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
1.0
06 07 08 09 10 11 12 13 14 15 16
CANADA-US LONG TERM YIELD DIFFERENTIALS
WeeklyLast date: February 26, 2016
10-Year
30-Year
Source: Bank of Canada, Federal Reserve
3
4
5
6
7
8
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA LONG-TERM CORPORATE BOND YEILDS Percent
Source: Thomson Reuters Datastream
Weekly, Friday dataLast date: February 26, 2016
0
20
40
60
80
100
120
140
160
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
OIL PRICENYMEX
Weekly, Friday dataLast date: February 26, 2016US$/bbl
Source: Wall Street Journal
0
1
2
3
4
5
6
7
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
CANADA GOVERNMENT BONDS
T-bills
10-year bond
Percent
Source: Bank of Canada
Weekly, Friday dataLast date: February 26, 2016
Government bond yields declined in February ...
... and Canada‘s long-term corporate bond yields have also come down
somewhat in recent weeks.
... Canadian long-term rates remain significantly below
US long-term rates ...
MONTHLY REVIEW ►CANADA – INTEREST RATES
Dynamic Funds Economics22
ECONOMIC MONITOR
-6
-4
-2
0
2
4
6
8
10
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: December 2015
$ volume, billions
CANADA TRADE BALANCE
Source: Thomson Reuters Datastream
-6
-4
-2
0
2
4
6
00 03 06 09 12 15
Last quarter: 2015-Q4
Percent of GDP
CANADA CURRENT ACCOUNT BALANCE
Source: Thomson Reuters Datastream
-6
-4
-2
0
2
4
6
8
10
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: December 2015
$ volume, billions
CANADA TRADE BALANCE
Source: Thomson Reuters Datastream
-6
-4
-2
0
2
4
6
00 03 06 09 12 15
Last quarter: 2015-Q4
Percent of GDP
CANADA CURRENT ACCOUNT BALANCE
Source: Thomson Reuters Datastream
Export and import growth are near zero of late.
Canada’s trade deficit declined in December, but is likely
to remain elevated.
The current account balance is just over 3% of GDP, and is not expected to improve
significantly in the near-term.
-40
-30
-20
-10
0
10
20
30
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: December 2015
Percent change year-over-year
CANADA IMPORT/EXPORT GROWTH
Source: Thomson Reuters Datastream
Imports
Exports
MONTHLY REVIEW ►CANADA – CURRENT ACCOUNT AND TRADE BALANCE
23Dynamic Funds Economics
Not a good sign, the leading indicator was negative in both
December and January.
Growth in 2016 is forecast to average around 2.0%.
US GDP growth was revised to 1.0% from 0.7% (s.a.a.r) in 2015-Q4.
US GROSS DOMESTIC PRODUCT
-10
-8
-6
-4
-2
0
2
4
6
8
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Annualized growth rate Last quarter: 2015-Q4
Source: US Bureau of Economic Analysis
-10
-8
-6
-4
-2
0
2
4
6
8
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US GDP FORECAST
Annualized quarterly rate of change
Source: US Bureau of Economic Analysis, Dundee Economics
Forecastthrough
2016
-3.5
-3.0
-2.5
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
US LEADING INDICATOR
Last month: January 2016Percent change month-to-month
Source: The Conference Board
-2
-1
0
1
2
3
4
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15-Q3 15-Q4
ConsumptionInvestmentGovernmentNet Exports
CONTRUBTION TO GDP IN RECENTQUARTERS1.0%1.9% 0.6% 3.9% 2.0%-0.9% 4.6% 4.3% 2.1%1.1% 3.0% 3.8% GDP
Contribution to GDP %
** Average of last 12 quarters: 2.3%Source: US Bureau of Economic Analysis
US GROSS DOMESTIC PRODUCT
-10
-8
-6
-4
-2
0
2
4
6
8
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Annualized growth rate Last quarter: 2015-Q4
Source: US Bureau of Economic Analysis
-10
-8
-6
-4
-2
0
2
4
6
8
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US GDP FORECAST
Annualized quarterly rate of change
Source: US Bureau of Economic Analysis, Dundee Economics
Forecastthrough
2016
MONTHLY REVIEW ►UNITED STATES – ECONOMIC GROWTH
Dynamic Funds Economics24
ECONOMIC MONITOR
MONTHLY REVIEW ►UNITED STATES – ECONOMIC GROWTH
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
Durable GoodsNondurable GoodsServices
C: HOUSEHOLD CONSUMPTION1.4%1.7% 1.2% 2.4% 2.0%0.9% 2.6% 2.3% 2.9%1.0% 1.2% 2.4% C**
Contribution to GDP %
** Average of last 12 quarters: 1.8%
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
NonresidentialResidentialInventories
I: INVESTMENT-0.1%1.1% 1.4% 0.9% -0.1%-0.4% 2.0% 1.2% 0.4%0.8% 2.1% 0.7% I**
Contributionto GDP %
** Average of last 12 quarters: 0.8%Source: US Bureau of Economic Analysis
Source: US Bureau of Economic Analysis
-1.0
-0.5
0.0
0.5
1.0
1.5
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
Federal
State/Local
G:GOVERNMENT0.0%-0.9% 0.0% 0.5% 0.3%0.0% 0.3% -0.3%-0.4% -0.4% -0.5% G**
Contributionto GDP %
** Average of last 12 quarters: -0.1%
0.2%
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
ExportsImportsNet
X-M: FOREIGN BALANCE-0.3%-0.9% -1.9% 0.2%1.3% -1.4% -0.2% 0.4%0.0% -0.2% 0.2% X-M**
Contribution to GDP %
** Average of last 12 quarters: -0.3%Source: US Bureau of Economic Analysis
Source: US Bureau of Economic Analysis
-0.3%
Net exports and business investment subtracted from GDP growth in
2015-Q4. The largest contribution to growth came from the households
consumption of services.
-3.5
-3.0
-2.5
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
US LEADING INDICATOR
Last month: January 2016Percent change month-to-month
Source: The Conference Board
-2
-1
0
1
2
3
4
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15-Q3 15-Q4
ConsumptionInvestmentGovernmentNet Exports
CONTRUBTION TO GDP IN RECENTQUARTERS1.0%1.9% 0.6% 3.9% 2.0%-0.9% 4.6% 4.3% 2.1%1.1% 3.0% 3.8% GDP
Contribution to GDP %
** Average of last 12 quarters: 2.3%Source: US Bureau of Economic Analysis
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
Durable GoodsNondurable GoodsServices
C: HOUSEHOLD CONSUMPTION1.4%1.7% 1.2% 2.4% 2.0%0.9% 2.6% 2.3% 2.9%1.0% 1.2% 2.4% C**
Contribution to GDP %
** Average of last 12 quarters: 1.8%
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
NonresidentialResidentialInventories
I: INVESTMENT-0.1%1.1% 1.4% 0.9% -0.1%-0.4% 2.0% 1.2% 0.4%0.8% 2.1% 0.7% I**
Contributionto GDP %
** Average of last 12 quarters: 0.8%Source: US Bureau of Economic Analysis
Source: US Bureau of Economic Analysis
-1.0
-0.5
0.0
0.5
1.0
1.5
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
Federal
State/Local
G:GOVERNMENT0.0%-0.9% 0.0% 0.5% 0.3%0.0% 0.3% -0.3%-0.4% -0.4% -0.5% G**
Contributionto GDP %
** Average of last 12 quarters: -0.1%
0.2%
-2.0
-1.5
-1.0
-0.5
0.0
0.5
1.0
1.5
2.0
13 Q1 13 Q2 13 Q3 13 Q4 14 Q1 14 Q2 14 Q3 14 Q4 15 Q1 15 Q2 15 Q3 15 Q4
ExportsImportsNet
X-M: FOREIGN BALANCE-0.3%-0.9% -1.9% 0.2%1.3% -1.4% -0.2% 0.4%0.0% -0.2% 0.2% X-M**
Contribution to GDP %
** Average of last 12 quarters: -0.3%Source: US Bureau of Economic Analysis
Source: US Bureau of Economic Analysis
-0.3%
25Dynamic Funds Economics
30
35
40
45
50
55
60
65
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: February 2016Index
Below 50 indicates contraction
US ISM MANUFACTURING INDEX
Source: Institute for Supply Management
-15
-10
-5
0
5
10
15
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US RETAIL SALES
Last month: January 2016Percent change year-over-year
Nominal
Source: US Census Bureau
The retail sales picked up in January year-over-year ...
... while the ISM service sector index declined for the last three months,
but it remains well above 50.
... but the ISM manufacturing index remained below 50 for the fourth month in February
(indicative of contraction) ...30
35
40
45
50
55
60
65
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: February 2016Index
Below 50 indicates contraction
US ISM MANUFACTURING INDEX
Source: Institute for Supply Management
-15
-10
-5
0
5
10
15
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US RETAIL SALES
Last month: January 2016Percent change year-over-year
Nominal
Source: US Census Bureau
30
35
40
45
50
55
60
65
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: January 2016Index
Below 50 indicates contraction
US ISM SERVICE SECTOR INDEX
Source: Institute for Supply Management
-18
-15
-12
-9
-6
-3
0
3
6
9
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US INDUSTRIAL PRODUCTIONPercent change year-over-year
Source: Thomson Reuters Datastream
Last month: January 2016
MONTHLY REVIEW ►UNITED STATES – ECONOMIC GROWTH
Dynamic Funds Economics26
ECONOMIC MONITOR
Durable goods orders increased in January, a good sign.
... but industrial capacity utilization increased in January (though
remains below historical norms).
Industrial production has been negative year-over-year for
the last three months ...
66
68
70
72
74
76
78
80
82
84
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US INDUSTRIAL CAPACITY UTILIZATION
Last month: January 2016
Average 1968 to date 80.3
Percent
Source: Thomson Reuters Datastream, Dundee Economics
US DURABLE GOODS ORDERS
200
210
220
230
240
250
260
270
280
290
300
310
12 13 14 15 16
Last month: January 2016$ US Billions
Source: Thomson Reuters Datastream, Dundee Economics
66
68
70
72
74
76
78
80
82
84
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US INDUSTRIAL CAPACITY UTILIZATION
Last month: January 2016
Average 1968 to date 80.3
Percent
Source: Thomson Reuters Datastream, Dundee Economics
US DURABLE GOODS ORDERS
200
210
220
230
240
250
260
270
280
290
300
310
12 13 14 15 16
Last month: January 2016$ US Billions
Source: Thomson Reuters Datastream, Dundee Economics
MONTHLY REVIEW ►UNITED STATES – ECONOMIC GROWTH
30
35
40
45
50
55
60
65
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: January 2016Index
Below 50 indicates contraction
US ISM SERVICE SECTOR INDEX
Source: Institute for Supply Management
-18
-15
-12
-9
-6
-3
0
3
6
9
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US INDUSTRIAL PRODUCTIONPercent change year-over-year
Source: Thomson Reuters Datastream
Last month: January 2016
27Dynamic Funds Economics
The Case-Shiller Home Price Index continues to advance at around 5.5% (year-over-year).
New home sales declined in January, but existing home
sales increased slightly.
Source: Thomson Reuters Datastream
50
70
90
110
130
150
170
190
210
230
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-20
-15
-10
-5
0
5
10
15
20
25CASE-SHILLER HOME PRICE INDEX
Case-Shiller Index, s.a.
Last month: December 2015
Percent change year-over-year
Jan 2000 = 100
-800-700-600-500-400-300-200-100
0100200300400500
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: January 2016000s, monthly change3-month moving average
Source: US Bureau of Labor Statistics
US JOB CREATION
0.3
0.5
0.7
0.9
1.1
1.3
1.5
1.7
1.9
2.1
2.3
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US HOUSING STARTS
Last month: January 2016Millions of dwelling units
Source: US Census Bureau
0
200
400
600
800
1000
1200
1400
1600
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 163000
3600
4200
4800
5400
6000
6600
7200
7800
New home salesExisting home sales
US NEW AND EXISTING SINGLE FAMILY HOME SALES
Last month: January 2016
000s 000s
Source: US Census Bureau, National Association of Realtors
0.3
0.5
0.7
0.9
1.1
1.3
1.5
1.7
1.9
2.1
2.3
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US HOUSING STARTS
Last month: January 2016Millions of dwelling units
Source: US Census Bureau
0
200
400
600
800
1000
1200
1400
1600
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 163000
3600
4200
4800
5400
6000
6600
7200
7800
New home salesExisting home sales
US NEW AND EXISTING SINGLE FAMILY HOME SALES
Last month: January 2016
000s 000s
Source: US Census Bureau, National Association of Realtors
The US housing market appears to be stable.
Housing starts appear to be leveling off at just over 1.1 million units.
MONTHLY REVIEW ►UNITED STATES – HOUSING MARKET
Dynamic Funds Economics28
ECONOMIC MONITOR
MONTHLY REVIEW ►UNITED STATES – LABOUR MARKET
Source: Thomson Reuters Datastream
50
70
90
110
130
150
170
190
210
230
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-20
-15
-10
-5
0
5
10
15
20
25CASE-SHILLER HOME PRICE INDEX
Case-Shiller Index, s.a.
Last month: December 2015
Percent change year-over-year
Jan 2000 = 100
-800-700-600-500-400-300-200-100
0100200300400500
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Last month: January 2016000s, monthly change3-month moving average
Source: US Bureau of Labor Statistics
US JOB CREATION
3
4
5
6
7
8
9
10
11
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US UNEMPLOYMENT RATE
Last month: January 2016Percent
Source: US Bureau of Labor Statistics
4
5
6
7
8
9
10
11
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US BROADER UNDEREMPLOYMENT RATE (U6)
Last month: January 2016Percent
Source: US Bureau of Labor Statistics
Unemployment rate plus workers that are discouraged, marginally attached and those
working part-time (for economic reasons).
3
4
5
6
7
8
9
10
11
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US UNEMPLOYMENT RATE
Last month: January 2016Percent
Source: US Bureau of Labor Statistics
4
5
6
7
8
9
10
11
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US BROADER UNDEREMPLOYMENT RATE (U6)
Last month: January 2016Percent
Source: US Bureau of Labor Statistics
Unemployment rate plus workers that are discouraged, marginally attached and those
working part-time (for economic reasons).
62
63
64
65
66
67
68
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US LABOUR FORCE PARTICIPATION RATE
Last month: January 2016Percent
Source: US Bureau of Labor Statistics
% of non-institutional population 16 and over in the labor force
0
10
20
30
40
50
60
70
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US REASONS FOR UNEMPLOYMENT
Last month: January 2016Percent
*Includes persons who completed temporary jobsSource: US Bureau of Labor Statistics
Percent of unemployed
Job losers*
Reentrants
Job Leavers
New Entrants
62
63
64
65
66
67
68
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US LABOUR FORCE PARTICIPATION RATE
Last month: January 2016Percent
Source: US Bureau of Labor Statistics
% of non-institutional population 16 and over in the labor force
0
10
20
30
40
50
60
70
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US REASONS FOR UNEMPLOYMENT
Last month: January 2016Percent
*Includes persons who completed temporary jobsSource: US Bureau of Labor Statistics
Percent of unemployed
Job losers*
Reentrants
Job Leavers
New Entrants 5
10
15
20
25
30
35
40
45
50
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US LENGTH OF UNEMPLOYMENT
Last month: January 2016Percent
*Source: US Bureau of Labor Statistics
Percent of unemployed
Less than 5 weeks
5 to 14 weeks
27 weeks or longer
15 to 26 weeks
Source: US Bureau of Labor Statistics
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US HOURLY EARNINGS
Last month: January 2016Percent change year-over-year
Seasonally adjusted
Production and nonsupervisory employees
All Employees
The US labour market continues to gain strength – the unemployment rate has ticked down in recent months and the labour force participation rate has ticked up in recent months.
29Dynamic Funds Economics
Source: US Bureau of Labor Statistics
-12
-9
-6
-3
0
3
6
9
12
15
18
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US MANUFACTURING UNIT LABOUR COSTS
Last quarter: 2015-Q4
Percent change year-over-year
Source: US Bureau of Labor Statistics
1
2
3
4
5
6
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US EMPLOYMENT COST INDEX - TOTAL
Last quarter: 2015-Q4
Total – Includes BenefitsPercent change year-over-year
MONTHLY REVIEW ►UNITED STATES – WAGE INFLATION
Source: US Bureau of Labor Statistics
-2
0
2
4
6
8
10
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US HOURLY WAGE COMPENSATION INDEX
Last quarter: 2015-Q4
Percent change year-over-year
Source: US Bureau of Labor Statistics
-6
-4
-2
0
2
4
6
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US BUSINESS UNIT LABOUR COSTS
Last quarter: 2015-Q4
Percent change year-over-year
Source: US Bureau of Labor Statistics
-3
-2
-1
0
1
2
3
4
5
6
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
TotalCore
US CONSUMER PRICE INFLATION
Last month February 2016Percent change year-over-year
Seasonally adjusted
Source: US Bureau of Labor Statistics
1
2
3
4
5
6
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US EMPLOYMENT COST INDEX - PARTIAL
Last quarter: 2015-Q4
Partial – Wages and Salaries onlyPercent change year-over-year
Source: US Bureau of Labor Statistics
-12
-9
-6
-3
0
3
6
9
12
15
18
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US MANUFACTURING UNIT LABOUR COSTS
Last quarter: 2015-Q4
Percent change year-over-year
Source: US Bureau of Labor Statistics
1
2
3
4
5
6
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US EMPLOYMENT COST INDEX - TOTAL
Last quarter: 2015-Q4
Total – Includes BenefitsPercent change year-over-year
5
10
15
20
25
30
35
40
45
50
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US LENGTH OF UNEMPLOYMENT
Last month: January 2016Percent
*Source: US Bureau of Labor Statistics
Percent of unemployed
Less than 5 weeks
5 to 14 weeks
27 weeks or longer
15 to 26 weeks
Source: US Bureau of Labor Statistics
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
5.0
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US HOURLY EARNINGS
Last month: January 2016Percent change year-over-year
Seasonally adjusted
Production and nonsupervisory employees
All Employees
Source: US Bureau of Labor Statistics
-2
0
2
4
6
8
10
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US HOURLY WAGE COMPENSATION INDEX
Last quarter: 2015-Q4
Percent change year-over-year
Source: US Bureau of Labor Statistics
-6
-4
-2
0
2
4
6
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US BUSINESS UNIT LABOUR COSTS
Last quarter: 2015-Q4
Percent change year-over-year
However, remaining slack in the labour market will help keep the pressure on wage increases at bay.
Dynamic Funds Economics30
ECONOMIC MONITOR
MONTHLY REVIEW ►UNITED STATES – INFLATION
-8
-6
-4
-2
0
2
4
6
8
10
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Finished Goods (disc.)Finished Goods core (disc.)Final Demand (new)Final Demand Core (new)
US PRODUCER PRICE INFLATION
Last month: January 2016Percent change year-over-year
Source: US Bureau of Labor Statistics
-2
-1
0
1
2
3
4
5
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
TotalCore
Last month: January 2016
Percent change year-over-year
Fed’s Target
US PERSONAL CONSUMPTION EXPENDITURE INFLATION
Source: US Bureau Economic Analysis
-1
0
1
2
3
4
5
6
7
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
DifferenceLong-term Bond30-yr Inflation-Protected Bonds
US INFLATION EXPECTATIONS
Last month: February 2016
The “difference” is a measure of inflation expectations!
Percent
Source: Federal Reserve, Dundee Economics
-9
-6
-3
0
3
6
9
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
IMPORT PRICES FROM EUROPE
US CPI
Europe
Last month: January 2016Percent change year-over-year
Source: US Bureau of Labor Statistics
Source: US Bureau of Labor Statistics
-3
-2
-1
0
1
2
3
4
5
6
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
TotalCore
US CONSUMER PRICE INFLATION
Last month February 2016Percent change year-over-year
Seasonally adjusted
Source: US Bureau of Labor Statistics
1
2
3
4
5
6
90 92 94 96 98 00 02 04 06 08 10 12 14 16
US EMPLOYMENT COST INDEX - PARTIAL
Last quarter: 2015-Q4
Partial – Wages and Salaries onlyPercent change year-over-year
-8
-6
-4
-2
0
2
4
6
8
10
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Finished Goods (disc.)Finished Goods core (disc.)Final Demand (new)Final Demand Core (new)
US PRODUCER PRICE INFLATION
Last month: January 2016Percent change year-over-year
Source: US Bureau of Labor Statistics
-2
-1
0
1
2
3
4
5
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
TotalCore
Last month: January 2016
Percent change year-over-year
Fed’s Target
US PERSONAL CONSUMPTION EXPENDITURE INFLATION
Source: US Bureau Economic Analysis
Headline inflation is likely to remain below the Fed’s 2% target in 2016, despite the less negative contribution from energy price ... ... and US inflation expectations
have declined somewhat in recent months.
31Dynamic Funds Economics
-20
-15
-10-5
0
5
10
1520
25
30
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-4
-3
-2-1
0
1
2
34
5
6IMPORT PRICES – ALL IMPORTS
US CPI
All Imports
Last month: January 2016
Percent change year-over-year
Source: US Bureau of Labor Statistics
-4
-3
-2
-1
0
1
2
3
4
5
6
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
IMPORT PRICES FROM CHINA
US CPI
China
Last month: January 2016Percent change year-over-year
Source: US Bureau of Labor Statistics
MONTHLY REVIEW ►UNITED STATES – INFLATION
Negative import prices will continue to put downward pressure on US inflation.
-20
-15
-10-5
0
5
10
1520
25
30
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-4
-3
-2-1
0
1
2
34
5
6IMPORT PRICES – ALL IMPORTS
US CPI
All Imports
Last month: January 2016
Percent change year-over-year
Source: US Bureau of Labor Statistics
-4
-3
-2
-1
0
1
2
3
4
5
6
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
IMPORT PRICES FROM CHINA
US CPI
China
Last month: January 2016Percent change year-over-year
Source: US Bureau of Labor Statistics
-1
0
1
2
3
4
5
6
7
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
DifferenceLong-term Bond30-yr Inflation-Protected Bonds
US INFLATION EXPECTATIONS
Last month: February 2016
The “difference” is a measure of inflation expectations!
Percent
Source: Federal Reserve, Dundee Economics
-9
-6
-3
0
3
6
9
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
IMPORT PRICES FROM EUROPE
US CPI
Europe
Last month: January 2016Percent change year-over-year
Source: US Bureau of Labor Statistics
-4
-3
-2
-1
0
1
2
3
4
5
6
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
IMPORT PRICES FROM JAPAN
US CPI
JapanLast month: January 2016
Percent change year-over-year
Source: US Bureau of Labor Statistics
-7
-6
-5
-4
-3
-2
-1
0
1
79 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13 1560
70
80
90
100
110
120
130
140US CURRENT ACCOUNT BALANCE
US$ index (EFXR0)
Current account as percent of GDP
Source: US Census Bureau, WSJ, Dundee Economics
Last quarter: 2015-Q3
Dynamic Funds Economics32
ECONOMIC MONITOR
... despite the sharp decline in US petroleum imports.
The US trade deficit with the world remains large ...
The US current account deficit is rising again, which we expect will
eventually undermine the US dollar.
US Trade Balance With World
-90
-80
-70
-60
-50
-40
-30
-20
-10
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-900
-800
-700
-600
-500
-400
-300
-200
-100
0
Monthly Trade Balance Goods
12 mo moving total Goods
Last date: December 2015 12 mo. moving total, bn$
Source: US Census Bureau
billion$
US Trade Balance With World
-90
-80
-70
-60
-50
-40
-30
-20
-10
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Petroleum Balance
Non-Petroleum Balance
Last date: December 2015
Source: US Census Bureau
billion$
US Trade Balance With World
-90
-80
-70
-60
-50
-40
-30
-20
-10
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-900
-800
-700
-600
-500
-400
-300
-200
-100
0
Monthly Trade Balance Goods
12 mo moving total Goods
Last date: December 2015 12 mo. moving total, bn$
Source: US Census Bureau
billion$
US Trade Balance With World
-90
-80
-70
-60
-50
-40
-30
-20
-10
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Petroleum Balance
Non-Petroleum Balance
Last date: December 2015
Source: US Census Bureau
billion$
-4
-3
-2
-1
0
1
2
3
4
5
6
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
IMPORT PRICES FROM JAPAN
US CPI
JapanLast month: January 2016
Percent change year-over-year
Source: US Bureau of Labor Statistics
-7
-6
-5
-4
-3
-2
-1
0
1
79 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13 1560
70
80
90
100
110
120
130
140US CURRENT ACCOUNT BALANCE
US$ index (EFXR0)
Current account as percent of GDP
Source: US Census Bureau, WSJ, Dundee Economics
Last quarter: 2015-Q3
MONTHLY REVIEW ►UNITED STATES – CURRENT ACCOUNT AND TRADE BALANCE
33Dynamic Funds Economics
The rising trade deficit is a hot topic for Republican Presidential Candidate
Donald Trump – he proposes to “renegotiate” US trade relationships
under threat of import taxes.
-18
-15
-12
-9
-6
-3
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-180
-150
-120
-90
-60
-30
0US TRADE BALANCE WITH EUROPEAN UNION
Last date: December 2015
US TRADE BALANCE WITH JAPAN
-10
-9
-8
-7
-6
-5
-4
-3
-2
-1
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-100
-90
-80
-70
-60
-50
-40
-30
-20
-10
0
Last date: December 2015
Source: US Census Bureau
Source: US Census Bureau
12 mo. moving total, bn$billion$
12 mo. moving total, bn$billion$
-40
-35
-30
-25
-20
-15
-10
-5
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-400
-350
-300
-250
-200
-150
-100
-50
0US TRADE BALANCE WITH CHINA
Last date: December 2015
Source: US Census Bureau
12 mo. moving total, bn$billion$
US IMPORTS OF CRUDE OIL
-52-48-44-40-36-32-28-24-20-16-12-8-40
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-520-480-440-400-360-320-280-240-200-160-120-80-400
Crude Oil
Crude Oil, 12-mo moving total
Total Energy Related PetroleumProducts, 12- mo moving total
Last date: December 2015billion$ 12-mo. moving total, bn$
Source: US Census Bureau
MONTHLY REVIEW ►UNITED STATES – TRADE BALANCE
US TRADE BALANCE WITH CANADA
-12
-10
-8
-6
-4
-2
0
2
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-90
-75
-60
-45
-30
-15
0
15
Last date: December 2015
Source: US Census Bureau
12 mo. moving total, bn$billion$
300
900
1500
2100
2700
3300
3900
4500
5100
08 09 10 11 12 13 14 15 16
FEDERAL RESERVE BALANCE SHEETTotal Assets in Billions
Last date: February 24, 2015
Other Assets
Currency Swap lines
Liquidity to Banks
Commercial Paper Market
Securitization Market (support for mortgages)
Agency Debt
US Treasuries
Other CreditExtensions
Source: Thomson Reuters Datastream
-40
-35
-30
-25
-20
-15
-10
-5
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-400
-350
-300
-250
-200
-150
-100
-50
0US TRADE BALANCE WITH CHINA
Last date: December 2015
Source: US Census Bureau
12 mo. moving total, bn$billion$
US IMPORTS OF CRUDE OIL
-52-48-44-40-36-32-28-24-20-16-12-8-40
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-520-480-440-400-360-320-280-240-200-160-120-80-400
Crude Oil
Crude Oil, 12-mo moving total
Total Energy Related PetroleumProducts, 12- mo moving total
Last date: December 2015billion$ 12-mo. moving total, bn$
Source: US Census Bureau
-18
-15
-12
-9
-6
-3
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-180
-150
-120
-90
-60
-30
0US TRADE BALANCE WITH EUROPEAN UNION
Last date: December 2015
US TRADE BALANCE WITH JAPAN
-10
-9
-8
-7
-6
-5
-4
-3
-2
-1
0
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-100
-90
-80
-70
-60
-50
-40
-30
-20
-10
0
Last date: December 2015
Source: US Census Bureau
Source: US Census Bureau
12 mo. moving total, bn$billion$
12 mo. moving total, bn$billion$
Dynamic Funds Economics34
ECONOMIC MONITOR
The Fed’s balance sheet has stabilized at just over $4.5 trillion.
... but M2-velocity is still in a major downtrend.
M2 money supply continues to expand at around 6.0% ...
MONTHLY REVIEW ►UNITED STATES – MONETARY POLICY
US TRADE BALANCE WITH CANADA
-12
-10
-8
-6
-4
-2
0
2
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16-90
-75
-60
-45
-30
-15
0
15
Last date: December 2015
Source: US Census Bureau
12 mo. moving total, bn$billion$
300
900
1500
2100
2700
3300
3900
4500
5100
08 09 10 11 12 13 14 15 16
FEDERAL RESERVE BALANCE SHEETTotal Assets in Billions
Last date: February 24, 2015
Other Assets
Currency Swap lines
Liquidity to Banks
Commercial Paper Market
Securitization Market (support for mortgages)
Agency Debt
US Treasuries
Other CreditExtensions
Source: Thomson Reuters Datastream
1.4
1.5
1.6
1.7
1.8
1.9
2.0
2.1
2.2
2.3
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US M2 VELOCITY Velocity (Nominal GDP/ M2)
Last date: 2015 Q4
Velocity measures the turnover rate of the money supply as it is used to purchase goods and services
Source: Federal Reserve, Bureau of Economic Analysis, Dundee Economics
6
7
8
9
10
11
12
13
2007 2008 2009 2010 2011 2012 2013 2014 2015 20160.0
1.5
3.0
4.5
6.0
7.5
9.0
10.5US M2 MONEY SUPPLY
M2 money supply trillions$
Last month: January 2016
Percent change year-over-year
Source: Federal Reserve
1.4
1.5
1.6
1.7
1.8
1.9
2.0
2.1
2.2
2.3
90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US M2 VELOCITY Velocity (Nominal GDP/ M2)
Last date: 2015 Q4
Velocity measures the turnover rate of the money supply as it is used to purchase goods and services
Source: Federal Reserve, Bureau of Economic Analysis, Dundee Economics
6
7
8
9
10
11
12
13
2007 2008 2009 2010 2011 2012 2013 2014 2015 20160.0
1.5
3.0
4.5
6.0
7.5
9.0
10.5US M2 MONEY SUPPLY
M2 money supply trillions$
Last month: January 2016
Percent change year-over-year
Source: Federal Reserve
35Dynamic Funds Economics
MONTHLY REVIEW ►UNITED STATES – HOUSEHOLD DEBT
0.3
0.4
0.5
0.6
0.7
0.8
2005 2008 2011 2014-12
-6
0
6
12
18US HOME EQUITY REVOLVING DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4
0.5
0.6
0.7
0.8
0.9
2005 2008 2011 2014-12
-6
0
6
12US CREDIT CARD DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4
0
2
4
6
8
10
12
14
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
$ trillions
Source: Federal Reserve
Mortgage
Home Equity
Credit Card Other
Last quarter: 2015 Q4
US TOTAL HOUSEHOLD DEBT
4
5
6
7
8
9
10
2005 2007 2009 2011 2013 2015-10
-5
0
5
10
15
20US MORTGAGE DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4
0
2
4
6
8
10
12
14
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
$ trillions
Source: Federal Reserve
Mortgage
Home Equity
Credit Card Other
Last quarter: 2015 Q4
US TOTAL HOUSEHOLD DEBT
4
5
6
7
8
9
10
2005 2007 2009 2011 2013 2015-10
-5
0
5
10
15
20US MORTGAGE DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4
0.3
0.4
0.5
0.6
0.7
0.8
2005 2008 2011 2014-12
-6
0
6
12
18US HOME EQUITY REVOLVING DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4
0.5
0.6
0.7
0.8
0.9
2005 2008 2011 2014-12
-6
0
6
12US CREDIT CARD DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
2005 2008 2011 20143
6
9
12
15
18
21
24US STUDENT LOAN DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
2005 2008 2011 2014-15
-10
-5
0
5
10
15US AUTO LOAN DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4 0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
2005 2008 2011 20143
6
9
12
15
18
21
24US STUDENT LOAN DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
2005 2008 2011 2014-15
-10
-5
0
5
10
15US AUTO LOAN DEBT
Percent change year-over-year$ Trillion
Source: Federal Reserve
Last quarter: 2015 Q4
Total household debt is increasing at about 2.5% – with auto and student loans increasing the fastest.
Dynamic Funds Economics36
ECONOMIC MONITOR
US savings as a percent of disposable income remained
at 5.2% in January.
US equity markets have recovered from lows set in January, but
remain well below recent highs.
Student loans and credit card loans have the highest default rates.
MONTHLY REVIEW ►UNITED STATES – WEALTH CREATION
600
800
1000
1200
1400
1600
1800
2000
2200
03 04 05 06 07 08 09 10 11 12 13 14 15 16
S&P 500
Weekly, Friday dataLast date: February 26, 2016
Source: Thomson Reuters Datastream
0
2
4
6
8
10
12
14
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
90+ DAYS DELINQUENT BY LOAN TYPEPercent of balance
Last quarter: 2015 Q4
Source: Federal Reserve
Revolving Home Equity
AutoMortgage
Student Loans
Credit Card
600
800
1000
1200
1400
1600
1800
2000
2200
03 04 05 06 07 08 09 10 11 12 13 14 15 16
S&P 500
Weekly, Friday dataLast date: February 26, 2016
Source: Thomson Reuters Datastream
0
2
4
6
8
10
12
14
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
90+ DAYS DELINQUENT BY LOAN TYPEPercent of balance
Last quarter: 2015 Q4
Source: Federal Reserve
Revolving Home Equity
AutoMortgage
Student Loans
Credit Card
0
2
4
6
8
10
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US PERSONAL SAVINGS RATE
Percent of personal disposable income Last month: January 2016
Source: US Bureau of Economic Analysis
0
1
2
3
4
5
6
05 06 07 08 09 10 11 12 13 14 15 16
US INTEREST RATESWeekly dataLast Date: February 26, 2016
US Government 10-year yield
T-Bills
Percent
Source: Federal Reserve
Average 1968 to date 7.8
37Dynamic Funds Economics
... but the yield on high yield bonds has increased significantly.
... the yield on AAA corporate bonds has stabilized around 4% ....
The yield on 10-year Treasuries has declined in the last two
months in spite of a Fed rate increase in December ...
0
2
4
6
8
10
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
US PERSONAL SAVINGS RATE
Percent of personal disposable income Last month: January 2016
Source: US Bureau of Economic Analysis
0
1
2
3
4
5
6
05 06 07 08 09 10 11 12 13 14 15 16
US INTEREST RATESWeekly dataLast Date: February 26, 2016
US Government 10-year yield
T-Bills
Percent
Source: Federal Reserve
Average 1968 to date 7.8
AAA CORPORATE BOND YIELDS
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
05 06 07 08 09 10 11 12 13 14 15 16
Percent Moody’s AAA Yield
4
8
12
16
20
24
05 06 07 08 09 10 11 12 13 14 15 16
HIGH YIELD BOND YIELDSPercent - Merrill Lynch High Yield Corporate Bond Yield
Source: Wall Street Journal
Source: Thomson Reuters Datastream
Weekly dataLast Date: February 26, 2016
Weekly dataLast Date: February 26, 2016
AAA CORPORATE BOND YIELDS
3.0
3.5
4.0
4.5
5.0
5.5
6.0
6.5
05 06 07 08 09 10 11 12 13 14 15 16
Percent Moody’s AAA Yield
4
8
12
16
20
24
05 06 07 08 09 10 11 12 13 14 15 16
HIGH YIELD BOND YIELDSPercent - Merrill Lynch High Yield Corporate Bond Yield
Source: Wall Street Journal
Source: Thomson Reuters Datastream
Weekly dataLast Date: February 26, 2016
Weekly dataLast Date: February 26, 2016
MONTHLY REVIEW ►UNITED STATES – INTEREST RATES
Dynamic Funds Economics38
ECONOMIC MONITOR
The US dollar declined against most currencies in February ... 75
80
85
90
95
100
105
110
115
120
125
13005 06 07 08 09 10 11 12 13 14 15 16 16
Units per US dollar
JAPANESE YEN
Source: Wall Street Journal
65
70
75
80
85
90
95
100
05 06 07 08 09 10 11 12 13 14 15 16
Weekly, last date: February 26, 2016
US DOLLAR INDEX - NEWEFXR
Source: Wall Street Journal
Euro, Yen, Pound, Rupee,Cdn$, Yuan, Swiss Franc, Aus$
Weekly, last date: February 26, 2016
75
80
85
90
95
100
105
110
115
120
125
13005 06 07 08 09 10 11 12 13 14 15 16 16
Units per US dollar
JAPANESE YEN
Source: Wall Street Journal
65
70
75
80
85
90
95
100
05 06 07 08 09 10 11 12 13 14 15 16
Weekly, last date: February 26, 2016
US DOLLAR INDEX - NEWEFXR
Source: Wall Street Journal
Euro, Yen, Pound, Rupee,Cdn$, Yuan, Swiss Franc, Aus$
Weekly, last date: February 26, 2016
5.5
6.0
6.5
7.0
7.5
8.0
8.505 06 07 08 09 10 11 12 13 14 15 16
CHINESE RENMINBI (YUAN)Units/US$Axis inverted
135
145
155
165
175
185
195
205
215
225
05 06 07 08 09 10 11 12 13 14 15 160.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
PoundEuro
Pound - UScents/Pound
POUND STERLING AND EUROEuro - US$/euro
Source: Wall Street Journal
Source: Thomson Reuters Datastream
Weekly, last date: February 26, 2016
Weekly, last date: February 26, 2016
MONTHLY REVIEW ►INTERNATIONAL – EXCHANGE RATES
5.5
6.0
6.5
7.0
7.5
8.0
8.505 06 07 08 09 10 11 12 13 14 15 16
CHINESE RENMINBI (YUAN)Units/US$Axis inverted
135
145
155
165
175
185
195
205
215
225
05 06 07 08 09 10 11 12 13 14 15 160.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
PoundEuro
Pound - UScents/Pound
POUND STERLING AND EUROEuro - US$/euro
Source: Wall Street Journal
Source: Thomson Reuters Datastream
Weekly, last date: February 26, 2016
Weekly, last date: February 26, 2016
39Dynamic Funds Economics
... and Government bond yields also declined in February (note Japan’s
10-year rate is now negative).
1
2
3
4
5
6
05 06 07 08 09 10 11 12 13 14 15 16
US 10-YEAR BOND YIELD
Source: Thomson Reuters Datastream
1
2
3
4
5
6
05 06 07 08 09 10 11 12 13 14 15 16
UK 10-YEAR BOND YIELD
Source: Thomson Reuters Datastream
Weekly dataLast date: February 26, 2016
Weekly dataLast date: February 26, 2016
1
2
3
4
5
6
05 06 07 08 09 10 11 12 13 14 15 16
US 10-YEAR BOND YIELD
Source: Thomson Reuters Datastream
1
2
3
4
5
6
05 06 07 08 09 10 11 12 13 14 15 16
UK 10-YEAR BOND YIELD
Source: Thomson Reuters Datastream
Weekly dataLast date: February 26, 2016
Weekly dataLast date: February 26, 2016
0
1
2
3
4
5
05 06 07 08 09 10 11 12 13 14 15 16
Weekly dataLast date: February 26, 2016
GERMANY 10-YEAR BOND YIELD
Source: Thomson Reuters Datastream
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
05 06 07 08 09 10 11 12 13 14 15 16
JAPAN 10-YEAR BOND YIELD
Source: Thomson Reuters Datastream
Weekly dataLast date: February 26, 2016
MONTHLY REVIEW ►INTERNATIONAL – BOND YIELDS
0
1
2
3
4
5
05 06 07 08 09 10 11 12 13 14 15 16
Weekly dataLast date: February 26, 2016
GERMANY 10-YEAR BOND YIELD
Source: Thomson Reuters Datastream
-0.5
0.0
0.5
1.0
1.5
2.0
2.5
05 06 07 08 09 10 11 12 13 14 15 16
JAPAN 10-YEAR BOND YIELD
Source: Thomson Reuters Datastream
Weekly dataLast date: February 26, 2016
Dynamic Funds Economics40
ECONOMIC MONITOR
MONTHLY REVIEW ►INTERNATIONAL – LEADING INDICATORS
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-6.0
-4.5
-3.0
-1.5
0.0
1.5
3.0
4.5
6.0EUROZONE LEADING INDICATORS
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
-0.9
-0.6
-0.3
0.0
0.3
0.6
0.9
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-9
-6
-3
0
3
6
9OECD LEADING INDICATORS
Last month: December 2015
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
Last month: December 2015
-1.2
-0.9
-0.6
-0.3
0.0
0.3
0.6
0.9
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-12
-9
-6
-3
0
3
6
9BRIICS LEADING INDICATORS
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
-1.6
-1.2
-0.8
-0.4
0.0
0.4
0.8
1.2
1.6
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-10.0
-7.5
-5.0
-2.5
0.0
2.5
5.0
7.5
10.0CHINA LEADING INDICATORS
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
Last month: December 2015
Last month: December 2015
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-3
-2
-1
0
1
2
3INDIA LEADING INDICATORS
% month-to-month
% year-over-year
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-4.8
-3.6
-2.4
-1.2
0.0
1.2
2.4
3.6JAPAN LEADING INDICATORS
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
Last month: December 2015
Last month: December 2015
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-6.0
-4.5
-3.0
-1.5
0.0
1.5
3.0
4.5
6.0EUROZONE LEADING INDICATORS
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
-0.9
-0.6
-0.3
0.0
0.3
0.6
0.9
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-9
-6
-3
0
3
6
9OECD LEADING INDICATORS
Last month: December 2015
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
Last month: December 2015
-1.2
-0.9
-0.6
-0.3
0.0
0.3
0.6
0.9
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-12
-9
-6
-3
0
3
6
9BRIICS LEADING INDICATORS
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
-1.6
-1.2
-0.8
-0.4
0.0
0.4
0.8
1.2
1.6
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-10.0
-7.5
-5.0
-2.5
0.0
2.5
5.0
7.5
10.0CHINA LEADING INDICATORS
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
Last month: December 2015
Last month: December 2015
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-3
-2
-1
0
1
2
3INDIA LEADING INDICATORS
% month-to-month
% year-over-year
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-4.8
-3.6
-2.4
-1.2
0.0
1.2
2.4
3.6JAPAN LEADING INDICATORS
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
Last month: December 2015
Last month: December 2015
Good news: China’s leading indicator was positive month-over-month in both December and January!
-0.9
-0.6
-0.3
0.0
0.3
0.6
0.9
1.2
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-6
-4
-2
0
2
4
6
8UK LEADING INDICATORS
Last month: December 2015
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-6.0
-4.5
-3.0
-1.5
0.0
1.5
3.0
4.5
6.0CANADA LEADING INDICATORS
Last month: December 2015
% month-to-month
% year-over-year
-0.9
-0.6
-0.3
0.0
0.3
0.6
0.9
1.2
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-6
-4
-2
0
2
4
6
8UK LEADING INDICATORS
Last month: December 2015
Source: Thompson Reuters Datastream, OECD
% month-to-month
% year-over-year
-0.8
-0.6
-0.4
-0.2
0.0
0.2
0.4
0.6
0.8
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016-6.0
-4.5
-3.0
-1.5
0.0
1.5
3.0
4.5
6.0CANADA LEADING INDICATORS
Last month: December 2015
% month-to-month
% year-over-year
Source: Thomson Reuters Datastream, OECD
41Dynamic Funds Economics
COMMODITY PRICES1. Bank of Canada Commodity Price Indices (Weekly data to February 26, 2016)
200
300
400
500
600
700
800
900
1000
06 07 08 09 10 11 12 13 14 15 16
TOTAL COMMODITYBank of Canada Commodity Price Index
250
275
300
325
350
375
400
425
450
06 07 08 09 10 11 12 13 14 15 16
TOTAL LESS ENERGY
Bank of Canada Commodity Price Index 250
500
750
1000
1250
1500
1750
2000
2250
2500
2750
3000
06 07 08 09 10 11 12 13 14 15 16
ENERGY
Bank of Canada Commodity Price Index
150
170
190
210
230
250
270
290
310
330
350
06 07 08 09 10 11 12 13 14 15 16
AGRICULTURE
Bank of Canada Commodity Price Index400
450
500
550
600
650
700
750
800
850
900
06 07 08 09 10 11 12 13 14 15 16
METALS AND MINERALS
Bank of Canada Commodity Price Index
250300350400450500550600650700750800850900
06 07 08 09 10 11 12 13 14 15 16
S&P GSCI COMMODITY
Energy weight: 75% 125150175200225250275300325350375400425450475
06 07 08 09 10 11 12 13 14 15 16
REUTERS/JEFFERIES CRB
Energy weight: 33%75
100
125
150
175
200
225
250
06 07 08 09 10 11 12 13 14 15 16
ECONOMIST COMMODITY PRICE
2. Other Indices (Weekly data to February 26, 2016)
Commodity prices increased slightly in February, not least because the US dollar weakened somewhat ...
Sources: Bank of Canada, Thomson Reuters Datastream, The Economist
Dynamic Funds Economics42
ECONOMIC MONITOR
COMMODITY PRICES3. Metals (Weekly data to February 26, 2016)
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
55000
06 07 08 09 10 11 12 13 14 15 16
NICKELUS$/tonne
100
150
200
250
300
350
400
450
500
06 07 08 09 10 11 12 13 14 15 16
COPPERUS cents/lb
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
06 07 08 09 10 11 12 13 14 15 16
ZINCUS$/tonne
1200
1400
1600
1800
2000
2200
2400
2600
2800
3000
3200
3400
06 07 08 09 10 11 12 13 14 15 16
ALUMINUMUS$/tonne
500
1000
1500
2000
2500
3000
3500
4000
06 07 08 09 10 11 12 13 14 15 16
LEADUS$/tonne
300
500
700
900
1100
1300
1500
1700
1900
06 07 08 09 10 11 12 13 14 15 16
GOLDUS$/oz
600
800
1000
1200
1400
1600
1800
2000
2200
2400
06 07 08 09 10 11 12 13 14 15 16
PLATINUMUS$/oz
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
06 07 08 09 10 11 12 13 14 15 16
SILVERUS cents/oz
The gold price scored a technical breakout in February (see the Gold Monitor).
Sources: LME, LBMA, Wall Street Journal
43Dynamic Funds Economics
COMMODITY PRICES4. Energy (Weekly data to February 26, 2016)
2030405060708090
100110120130140150
07 08 09 10 11 12 13 14 15 16
NY OilBrent Oil
SPOT OIL PRICESUS$/bbl
0
2
4
6
8
10
12
14
06 07 08 09 10 11 12 13 14 15 16
Henry Hub
NATURAL GASUS$/million BTU
7000
8000
9000
10000
11000
12000
13000
14000
15000
16000
06 07 08 09 10 11 12 13 14 15 16
TSX composite13 wk ma52 wk ma
S&P/TSX INDEX
600
800
1000
1200
1400
1600
1800
2000
2200
06 07 08 09 10 11 12 13 14 15 16
S&P 50013 wk ma52 wk ma
S&P500 INDEX
6000
7500
9000
10500
12000
13500
15000
16500
18000
19500
06 07 08 09 10 11 12 13 14 15 16
DJI13 wk ma52 wk ma
DOW JONES INDUSTRIALS
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
06 07 08 09 10 11 12 13 14 15 16
NASDAQ13 wk ma52 wk ma
NASDAQ INDEX
EQUITY MARKETS 5. North America (Weekly data to February 26, 2016)
Equity markets have been very volatile this year to date, on the back of uncertainty about the oil price outlook, the Chinese economy, and global growth.
Energy prices remain under pressure although a bottom of sorts may have been reached.Desperately needed is some agreement on production cutbacks, without which oversupply will remain an ongoing problem.
Source: Thomson Reuters Datastream
Dynamic Funds Economics44
ECONOMIC MONITOR
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
22000
06 07 08 09 10 11 12 13 14 15 16
JAPAN
Nikkei0
100020003000400050006000700080009000
10000110001200013000
06 07 08 09 10 11 12 13 14 15 16
GERMANY
DAX0
3000
6000
9000
12000
15000
18000
21000
24000
27000
30000
06 07 08 09 10 11 12 13 14 15 16
INDIA
Bombay SENSEX
0500
100015002000250030003500400045005000550060006500
06 07 08 09 10 11 12 13 14 15 16
CHINA
Shanghai Composite0
200400600800
100012001400160018002000220024002600
06 07 08 09 10 11 12 13 14 15 16
RUSSIA
RTS-1
800
1000
1200
1400
1600
1800
2000
2200
2400
2600
06 07 08 09 10 11 12 13 14 15 16
MSCI EAFE INDEX
25000
30000
35000
40000
45000
50000
55000
60000
65000
70000
75000
80000
06 07 08 09 10 11 12 13 14 15 16
BRAZIL
Bovespa600700800900
1000110012001300140015001600170018001900
06 07 08 09 10 11 12 13 14 15 16
MSCI WORLD INDEX
EQUITY MARKETS 6. Around the world (Weekly data through February 26, 2016)
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
06 07 08 09 10 11 12 13 14 15 16
MEXICO
Mexican IPC
Source: Thomson Reuters Datastream
45Dynamic Funds Economics
Exchange Rates - Comparison of ScenariosActual Projected
15-II 15-III 15-IV 1-Mar Mar Apr May 16-II 16-III 16-IV 17-IUS Dollar incl Cdn$Scenario A 102.1 105.2 107.5 108.0 110.8 111.3 111.9Scenario B 94.68 97.26 98.50 97.82 98.45 99.09 98.75 98.64 98.03 98.30 98.11Scenario C 95.74 94.42 93.86 93.57 91.82 90.21 88.41Probability-Weighted 98.70 99.47 99.84 99.81 99.70 99.54 99.13
Canadian DollarScenario A 1.410 1.465 1.505 1.505 1.550 1.540 1.530Scenario B 1.229 1.310 1.335 1.341 1.365 1.380 1.380 1.385 1.395 1.400 1.390Scenario C 1.330 1.315 1.310 1.310 1.295 1.280 1.265Probability-Weighted 1.368 1.385 1.394 1.396 1.409 1.405 1.394
Japanese YenScenario A 118.5 122.0 124.0 124.0 128.0 129.5 131.0Scenario B 121.3 122.3 121.5 114.0 114.0 115.0 115.0 115.0 115.0 115.0 115.0Scenario C 111.0 110.0 110.0 110.0 108.5 107.0 105.0Probability-Weighted 114.4 115.5 116.0 116.0 116.6 116.6 116.5
British PoundScenario A 133.9 130.8 126.3 123.0 118.2 116.4 114.0Scenario B 153.3 155.1 151.8 139.5 140.6 141.7 144.1 145.4 151.6 152.6 153.4Scenario C 144.0 147.7 150.5 153.2 160.7 164.7 171.2Probability-Weighted 139.8 140.5 141.2 141.8 145.5 146.6 148.0
EuroScenario A 1.050 1.030 1.010 1.000 0.985 0.970 0.950Scenario B 1.105 1.119 1.095 1.087 1.090 1.090 1.100 1.110 1.140 1.130 1.120Scenario C 1.125 1.145 1.158 1.165 1.190 1.220 1.245Probability-Weighted 1.089 1.089 1.087 1.091 1.114 1.113 1.109
Australian DollarScenario A 70.21 67.24 65.12 65.12 62.58 62.34 62.09Scenario B 77.83 72.58 72.02 71.74 72.53 71.74 71.74 70.76 69.53 69.29 69.78Scenario C 74.81 75.89 76.34 76.34 77.61 79.30 81.03Probability-Weighted 72.52 71.65 71.23 70.74 69.81 70.05 70.67
Chinese Yuan/RmbScenario A 6.650 6.700 6.750 6.750 6.950 7.000 7.000Scenario B 6.120 6.264 6.389 6.552 6.550 6.570 6.590 6.580 6.600 6.600 6.600Scenario C 6.500 6.480 6.440 6.440 6.400 6.380 6.350Probability-Weighted 6.563 6.580 6.593 6.588 6.638 6.645 6.638
Indian RupeeScenario A 69.50 70.00 70.50 70.50 72.00 73.00 74.00Scenario B 63.47 64.98 65.92 67.60 68.50 68.50 68.20 68.20 67.60 67.30 67.00Scenario C 66.80 66.00 65.50 65.50 64.30 63.70 63.00Probability-Weighted 68.33 68.25 68.10 68.10 67.88 67.83 67.75
Source: WSJ, Thomson Reuters Datastream, Dundee Economics
ECONOMIC MONITOR
Dynamic Funds Economics46
Interest Rates - Comparison of ScenariosActual Projected
15-II 15-III 15-IV 1-Mar Mar Apr May 16-II 16-III 16-IV 17-I
Canadian Interest RatesT-Bills (91-day)Scenario A 0.48 0.50 0.54 0.55 0.60 0.86 1.12Scenario B 0.63 0.41 0.44 0.46 0.45 0.43 0.41 0.42 0.40 0.40 0.40Scenario C 0.41 0.17 0.16 0.16 0.10 0.03 0.02Probability-Weighted 0.44 0.37 0.36 0.37 0.35 0.38 0.43
10-year BondsScenario A 1.62 1.70 1.80 1.80 2.10 2.35 2.60Scenario B 1.68 1.47 1.49 1.24 1.25 1.30 1.35 1.35 1.50 1.55 1.60Scenario C 1.00 0.90 0.80 0.80 0.65 0.55 0.47Probability-Weighted 1.25 1.26 1.28 1.28 1.37 1.41 1.46
Target Overnight RateScenario A 0.50 0.50 0.50 0.50 0.58 0.83 1.08Scenario B 0.75 0.50 0.50 0.50 0.50 0.50 0.50 0.50 0.50 0.50 0.50Scenario C 0.50 0.25 0.25 0.25 0.18 0.05 0.05Probability-Weighted 0.50 0.43 0.43 0.43 0.42 0.43 0.48
US Interest RatesT-Bills (90-day)Scenario A 0.35 0.55 0.56 0.57 0.82 0.99 1.15Scenario B 0.02 0.04 0.13 0.31 0.35 0.35 0.35 0.38 0.46 0.65 0.65Scenario C 0.28 0.25 0.20 0.19 0.12 0.05 0.03Probability-Weighted 0.34 0.39 0.38 0.40 0.50 0.63 0.68
10-year BondsScenario A 2.30 2.40 2.50 2.50 2.85 3.15 3.40Scenario B 2.18 2.15 2.21 1.83 1.85 1.92 2.00 2.00 2.15 2.25 2.35Bonds - Scenario C 1.60 1.50 1.38 1.38 1.25 1.15 1.07Probability-Weighted 1.91 1.96 2.00 2.00 2.15 2.26 2.36
Fed Funds RateScenario A 0.45 0.65 0.65 0.65 0.90 1.07 1.23Scenario B 0.12 0.14 0.16 0.38 0.40 0.40 0.40 0.40 0.48 0.65 0.65Scenario C 0.36 0.34 0.32 0.32 0.24 0.15 0.13Probability-Weighted 0.40 0.45 0.45 0.45 0.54 0.66 0.69
Source: WSJ, Thomson Reuters Datastream, Dundee Economics
47Dynamic Funds Economics
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Views contained in this report regarding a particular company, security, industry or market sector are the views of the writer and do not necessarily represent the views of Dynamic Funds, its affiliates and subsidiaries. Views expressed should not be considered a recommendation to buy or sell nor should they be relied upon as investment advice. Information contained in this report is current as of the date of publication and has been obtained from third party sources believed to be reliable. Dynamic Funds, its affiliates and subsidiaries does not warrant or make any representations regarding the use or the results of the information contained herein in terms of its correctness, accuracy, timeliness, reliability, or otherwise, and does nor not accept any responsibility for any loss or damage that results from its use.
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