the price paradox (demand ain’t dead) - cim mes€¦ · · 2016-02-27the price paradox (demand...
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@PeterGHallXIII
CIM-MES ECONOMIC OUTLOOK SESSION
The Price Paradox (Demand Ain’t Dead) February 24, 2016
BLG LLP – Scotia Plaza, Toronto
Peter Hall
Vice-President and Chief Economist
@PeterGHallXIII 2
COMMODITY PRICE PLUNGE
Sources: EIA, Financial Times, WSJ, Haver Analytics
Percentage loss since mid-2014
-80
-70
-60
-50
-40
-30
-20
-10
0
WTI Crude Brent Crude Iron ore Soya Copper Gold
@PeterGHallXIII 3
CURRENCY PLUNGE
Sources: EIA, Financial Times, WSJ, Haver Analytics
Percentage depreciation vs. USD since mid-2014
-50
-45
-40
-35
-30
-25
-20
-15
-10
-5
0
Colombia Brazil Mexico Australia Canada Euro Indonesia India Singapore China
@PeterGHallXIII 4
IMPACT OF OIL PRICES ON THE GLOBAL ECONOMY
Top Global Oil Importers and Exporters
(based on 2013 data; mmbd, USD billions)
Actual, 2015
Net importers Amount Savings ($B)
1 EU 10.4 $168
2 United States 8.9 $143
3 China 6.6 $106
4 Japan 4.6 $73
5 India 2.8 $45
6 South Korea 2.5 $40
7 Germany 2.4 $38
Net exporters Amount Cost ($B)
1 Saudi Arabia 8.5 $136
2 Russia 7.5 $120
3 Iraq 3.1 $50
4 UAE 2.9 $46
5 Kuwait 2.6 $42
6 Nigeria 2.3 $37
7 Venezuela 1.8 $30
11 Canada 1.6 $25
17 Mexico 0.9 $14
19 Colombia 0.7 $11
22 Ecuador 0.3 $4
Top Global Oil Importers and Exporters
(based on 2013 data; mmbd, USD billions)
Scenario: $30 average for 2016
Net importers Amount Savings ($B)
1 EU 10.4 $72
2 United States 8.9 $62
3 China 6.6 $46
4 Japan 4.6 $32
5 India 2.8 $20
6 South Korea 2.5 $17
7 Germany 2.4 $17
Net exporters Amount Cost ($B)
1 Saudi Arabia 8.5 $59
2 Russia 7.5 $52
3 Iraq 3.1 $22
4 UAE 2.9 $20
5 Kuwait 2.6 $18
6 Nigeria 2.3 $16
7 Venezuela 1.8 $13
11 Canada 1.6 $11
17 Mexico 0.9 $6
19 Colombia 0.7 $5
22 Ecuador 0.3 $2
@PeterGHallXIII 5
THE $100 BILLION BONUS
Retail sales, gasoline stations, $M
Sources: Census Bureau, Haver Analytics
30000
32000
34000
36000
38000
40000
42000
44000
46000
48000
50000
2010 2011 2012 2013 2014 2015
@PeterGHallXIII 6
OIL PRICE CHANGES: THE NORMAL RESPONSE
-5
-4
-3
-2
-1
0
1
2
3
4
5
6-75
-50
-25
0
25
50
75
100
125
150
Q1-9
8
Q3-9
8
Q1-9
9
Q3-9
9
Q1-0
0
Q3-0
0
Q1-0
1
Q3-0
1
Q1-0
2
Q3-0
2
Q1-0
3
Q3-0
3
Q1-0
4
Q3-0
4
Q1-0
5
Q3-0
5
Q1-0
6
Q3-0
6
Q1-0
7
Q3-0
7
Q1-0
8
Q3-0
8
Q1-0
9
Q3-0
9
Q1-1
0
Q3-1
0
Q1-1
1
Q3-1
1
Q1-1
2
Q3-1
2
Q1-1
3
Q3-1
3
Q1-1
4
Q3-1
4
Q1-1
5
Q3-1
5
Q1-1
6
Q3-1
6
WTI Price Growth (Real $2015, 6-qtr % chg) [-4 quarters] US Real GDP, Y/Y%
@PeterGHallXIII 7
-20
-18
-16
-14
-12
-10
-8
-6
-4
-2
0
0
500
1000
1500
2000
2500
98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
Surplus/Deficit [R]
Starts [L]
Permits (L)
Housing starts, permits, balance since 2012, SAAR, ‘000 units
PENT-UP DEMAND: US HOUSING
Sources: US Census Bureau, NAR, Haver Analytics
@PeterGHallXIII 8
0
2
4
6
8
10
12
-1000
-800
-600
-400
-200
0
200
400
600
98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
Employment
Unemployment rate
Monthly employment change, ‘000, unemployment rate (%)
US EMPLOYMENT: GOING CRITICAL?
Sources: US Census Bureau, NAR, Haver Analytics
@PeterGHallXIII 9
US CONSUMER CONFIDENCE: COMFORTABLE
National aggregate, 1985=100
Sources: The Conference Board, Haver Analytics
0
20
40
60
80
100
120
140
160
1998 2000 2002 2004 2006 2008 2010 2012 2014
@PeterGHallXIII 10
AMERICANS ARE SPENDING!
Retail sales, motor vehicles and parts, $M
Sources: Census Bureau, Haver Analytics
50000
55000
60000
65000
70000
75000
80000
85000
90000
95000
100000
1998 2000 2002 2004 2006 2008 2010 2012 2014
@PeterGHallXIII 11
THE US MANUFACTURING CAPACITY CRUNCH
@PeterGHallXIII 12
US CONSTRUCTION SPENDING
Sources: Census Bureau, Haver Analytics
Value of construction put in place, private sector index, 2011=100
50
100
150
200
250
300
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
Manufacturing
Transportation
Warehousing
@PeterGHallXIII 13
EU: RETURNING TO BALANCE?
Sources: Eurostat, Haver Analytics
EA building permits, all buildings, ‘000 m2
-1000
0
1000
2000
3000
4000
5000
0
50
100
150
200
250
300
350
400
450
500
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
@PeterGHallXIII 14
EXCESS LIQUIDITY: DISTORTIONS?
Source: EDC Economics
Cash already in
the system
Cash hoarding
Cash injection
Corporate Bonds
@PeterGHallXIII
Excess liquidity: distortions?
Cash already in
the system
Source: EDC Economics
Cash hoarding
Cash injection
@PeterGHallXIII 16
ADD A LITTLE GROWTH, AND…
Source: EDC Economics
Financial transmission mechanism Corporate Bonds
DEPENDS ON …
• Orderliness
• Speed
• Path taken
• Geographic dispersion
@PeterGHallXIII 17
THE GREAT UNWIND: WHO IS VULNERABLE?
1-yr Probability of Default
Country Vulnerability Index
Source: EDC Economics
Real credit growth
C/A Balance, % of GDP
Portfolio Investment Liabilities
@PeterGHallXIII 18
90
95
100
105
110
115
120
125
130
9 10 11 12 13 14 15
Trade-weighted broad effective exchange rate, 2010 = 100
CHINA: WHAT’S UP WITH THE RMB?
Sources: JP Morgan, Haver Analytics
@PeterGHallXIII 19
CHINA’S PAIN IS MEXICO’S GAIN
Sources: EIU, Haver Analytics
Labour costs in Mexico relative to China
0
2
4
6
8
10
12
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
Mexico:
Manufacturing
hourly labour
costs ($US)
China:
Manufacturing
hourly labour
costs ($US)
2000 4.70 0.44
2001 5.41 0.49
2002 5.60 0.57
2003 5.31 0.62
2004 5.26 0.66
2005 5.61 0.73
2006 5.88 0.81
2007 6.17 1.06
2008 6.48 1.36
2009 5.69 1.55
2010 6.13 1.77
2011 6.49 2.12
2012 6.36 2.43
2013 6.84 2.73
2014 6.84 3.01
2015 6.24 3.28
2016 5.47 3.60
@PeterGHallXIII 20
Trade as a share of GDP, per cent
CHINA’S TRADE COMEBACK
Sources: EIU Country Data, Haver Analytics
0
10
20
30
40
50
60
70
80
90 91 92 93 94 95 96 97 98 99 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
@PeterGHallXIII 21
25
30
35
40
45
20
25
30
35
40
45
50
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20
C/GDP*
C/GDP
SR
SR*
THE POWER OF SAVING LESS
Sources: China National Bureau of Statistics, Haver Analytics
@PeterGHallXIII 22
25
30
35
40
45
20
25
30
35
40
45
50
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20
C/GDP*
C/GDP
SR
SR*
THE POWER OF SAVING EVEN LESS
Sources: China National Bureau of Statistics, Haver Analytics
@PeterGHallXIII 23
0
500
1000
1500
2000
2500
3000
3500
4000
4500
2004-08 2015
Ch
ina G
DP,
billio
n Y
uan
CHINA HAS GROWN!
AVERAGE
CONTRIBUTION
AT 18%
GROWTH
CURRENT
CONTRIBUTION
AT 6%
GROWTH
@PeterGHallXIII 24
Market Share (2014) 2013 2014 2015 (f) 2016 (f)
US 16.1 1.5 2.4 2.5 2.9
Canada 1.5 2.0 2.4 1.3 2.3
Mexico 2.0 1.4 2.1 2.4 3.1
Euro Area 12.2 -0.4 0.8 1.4 1.8
Japan 4.4 1.6 -0.1 0.9 1.5
Industrialized 43.1 1.4 1.8 2.0 2.4
Emerging Asia 29.5 7.0 6.8 6.6 6.7
› China 16.3 7.7 7.4 6.9 6.8
› India 6.8 6.9 7.3 7.4 7.5
LatAm/Caribbean 8.7 2.9 1.3 0.3 1.6
› Brazil 3.0 2.7 0.1 -2.0 0.2
Emerging Europe 8.0 4.2 3.4 -1.2 0.7
› Russia 3.3 1.3 0.6 -5.0 -2.0
Africa/Mideast 6.8 2.5 2.7 2.6 3.8
Emerging 56.9 5.0 4.6 3.8 4.4
Total World 100.0 3.4 3.4 3.0 3.6
GLOBAL GROWTH FORECAST
@PeterGHallXIII 25
KEY RISKS
Weak vs.
strong
economies
End of QE
(volatility)
Confidence
Little
policy
room
Geopolitics
Reticence
(paradox of
thrift)
@PeterGHallXIII 26
DRIVERS OF THE CANADIAN DOLLAR
US dollar movements*
The ‘halo’ effect
Canadian dollar
Source: EDC Economics
Oil & gas prices
Non-energy commodity prices
Interest rate spreads
@PeterGHallXIII 27
IMPACT OF OIL PRICES ON THE CANADIAN ECONOMY
Oil Price Impact by Economic Sector, % of GDP
Category Oil Price, WTI Crude, $US
Oil price scenario: $75 $60 $40 $25
O&G direct -1.6% -2.6% -3.8% -4.8%
Indirect investment -0.2% -0.3% -0.4% -0.5%
Manufacturing (cost) 0.6% 1.0% 1.5% 1.8%
Manufacturing (effect of $) 0.7% 1.2% 1.8% 2.2%
Consumer 0.4% 0.6% 0.9% 1.2%
Fiscal -0.1% -0.2% -0.3% -0.4%
Net impact, % of GDP -0.16% -0.26% -0.39% -0.48%
Source: EDC Economics
@PeterGHallXIII 28
IT’S ALL ABOUT MO…
Sources: EIA, Financial Times, WSJ, Haver Analytics
Built-in growth, inflation-adjusted exports, %
-10
-8
-6
-4
-2
0
2
4
6
8
10
BasMin Chem E&E NRG Ag-food Aero Total Forest IndMch MinPrd Cons Auto
@PeterGHallXIII 29
VISIT US ONLINE
› www.edc.ca
› Country analysis and information
› Global Export Forecast
› Weekly Commentary
› Trade Confidence Index
› Research reports on international trade
@PeterGHallXIII 30
THE COMMODITY PRICE SLUMP
0
20
40
60
80
100
120
2014- Jun
2014- Jul
2014- Aug
2014- Sep
2014- Oct
2014- Nov
2014- Dec
2015- Jan
2015- Feb
2015- Mar
2015- Apr
2015- May
2015- Jun
2015- Jul
2015- Aug
2015- Sep
2015- Oct
2015- Nov
2015- Dec
Copper
Gold
Brent
WTI
Soya
Iron Ore
@PeterGHallXIII 31
CURRENCIES ON A WILD RIDE
80
90
100
110
120
130
140
150
160
170
180
2014- Jun
2014- Jul
2014- Aug
2014- Sep
2014- Oct
2014- Nov
2014- Dec
2015- Jan
2015- Feb
2015- Mar
2015- Apr
2015- May
2015- Jun
2015- Jul
2015- Aug
2015- Sep
2015- Oct
2015- Nov
2015- Dec
Euro
CAD
SAR
MEX
BRA