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....Laird Research - Economics
December 12, 2014
Where we are now . . . . . . . . . . . . . . . . . . . . . . . . 1
Indicators for US Economy . . . . . . . . . . . . . . . . . . . 2
Global Financial Markets . . . . . . . . . . . . . . . . . . . . 3
US Key Interest Rates . . . . . . . . . . . . . . . . . . . . . . 8
US Inflation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
QE Taper Tracker . . . . . . . . . . . . . . . . . . . . . . . . . 10
Exchange Rates . . . . . . . . . . . . . . . . . . . . . . . . . . 11
US Banking Indicators . . . . . . . . . . . . . . . . . . . . . . 12
US Employment Indicators . . . . . . . . . . . . . . . . . . . 13
US Business Activity Indicators . . . . . . . . . . . . . . . . 15
US Consumption Indicators . . . . . . . . . . . . . . . . . . 16
US Housing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Global Business Indicators . . . . . . . . . . . . . . . . . . . 19
Canadian Indicators . . . . . . . . . . . . . . . . . . . . . . . 22
European Indicators . . . . . . . . . . . . . . . . . . . . . . . 24
Chinese Indicators . . . . . . . . . . . . . . . . . . . . . . . . 26
Global Climate Change . . . . . . . . . . . . . . . . . . . . . 27
Where we are now
Welcome to the Laird Report. We present a selection economic datafrom around the world to help figure where we are today.
I don’t think that reproducing a chart of the oil price is that helpfulright now - mainly because everyone has already seen it. A numberof analysts have produced charts showing the sensitivity of GDP to oilprice in an effort to identify winners versus losers - but unless yourcountries name ends in “ussia”, “audi Arabia”, “enuzuala” or rhymeswith “Iran” - then you are probably pretty happy with the drop in oil.
Canada is a bit of a special case because the country is so bifurcatedbetween oil rich Alberta and everywhere else (okay, Newfoundland too)- the drop in oil price is a massive consumer boost. I’ve been hearinganecdotal polls indicating that most of the saving is being plowed intoChristmas presents - this is probably indicative of consumer spendingin North America, China and Europe (assuming Russia is still willingto sell them oil). It accounts for 68% of the US GDP.
Keep in mind that oil is more than just gas in one’s car - hydrocar-
bons form the precursor materials for most of our goods from plasticto fertilizers. A sustained drop in oil prices will create deflationarypressure in a good way - raw materials get cheaper. The savings maystay at the corporate level or trickle down to the consumer in the formof lower prices - but someone along the line is going to be happy. Theimportance of the timing of this drop when China and Europe (okay,France Germany - Spain is getting better and the UK is hopping) areboth sputtering is critical to consumer spending - aka the driver of allthat is good in the world.
Formatting Notes The grey bars on the various charts are OECDrecession indicators for the respective countries. In many cases, the lastavailable value is listed, along with the median value (measured fromas much of the data series as is available).
Subscription Info For a FREE subscription to this monthly re-port, please visit sign up at our website: www.lairdresearch.com
Laird Research, December 12, 2014
Indicators for US Economy
Leading indicators are indicators that usually change before theeconomy as a whole changes. They are useful as short-term predictorsof the economy. Our list includes the Philly Fed’s Leading Index whichsummarizes multiple indicators; initial jobless claims and hours worked(both decrease quickly when demand for employee services drops and
vice versa); purchasing manager indicies; new order and housing per-mit indicies; delivery timings (longer timings imply more demand inthe system) and consumer sentiment (how consumers are feeling abouttheir own financial situation and the economy in general).
Leading Index for the US
Inde
x: E
st. 6
mon
th g
row
th
−3
−1
12
3
median: 1.40Oct 2014: 1.65
Growth
Contraction
Initial Unemployment Claims
1000
's o
f Cla
ims
per
Wee
k
200
400
600
median: 351.50Dec 2014: 299.25
Manufacturing Ave. Weekly Hours Worked
Hou
rs
3940
4142
4344
median: 40.60Nov 2014: 42.20
ISM Manfacturing − PMI
Inde
x: S
tead
y S
tate
= 5
0
3040
5060
70 median: 53.40Nov 2014: 58.70
expanding economy
contracting economy
Manufacturers' New Orders: Durable GoodsB
illio
ns o
f Dol
lars
150
200
250
300
median: 182.79Oct 2014: 243.84
ISM Manufacturing: Supplier Deliveries
Inde
x
4050
6070
median: 51.60Nov 2014: 56.80Slower Deliveries
Faster Deliveries
Capex (ex. Defense & Planes)
Per
cent
cha
nge
(3 m
onth
s)
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−10
−5
05
median: 0.86Oct 2014: −0.20
Chicago Fed National Activity Index
Inde
x V
alue
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−4
−2
02
median: 0.08Oct 2014: 0.14
U. Michigan: Consumer Sentiment
Inde
x 19
66 Q
1 =
100
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
5070
9011
0
median: 88.30Nov 2014: 88.80
www.lairdresearch.com December 12, 2014 Page 2
Global Financial Markets
Global Stock Market Returns
Country Index Name Close Date CurrentValue
WeeklyChange
MonthlyChange
3 monthChange
YearlyChange
Corr toS&P500
Corr toTSX
North AmericaUSA S&P 500 Dec 11 2,035.3 -1.8% t -0.2% t 1.9% s 14.2% s 1.00 0.72USA NASDAQ Composite Dec 11 4,708.2 -1.3% t 1.0% s 2.5% s 17.6% s 0.94 0.69USA Wilshire 5000 Total Market Dec 11 21,338.9 -1.8% t -0.6% t 0.7% s 12.8% s 0.99 0.73Canada S&P TSX Dec 11 13,905.1 -4.7% t -6.4% t -10.5% t 5.9% s 0.72 1.00Europe and RussiaFrance CAC 40 Dec 11 4,225.9 -2.3% t -0.4% t -4.8% t 3.4% s 0.51 0.38Germany DAX Dec 11 9,862.5 0.1% s 5.3% s 1.8% s 8.7% s 0.48 0.37United Kingdom FTSE Dec 11 6,461.7 -3.3% t -2.5% t -5.0% t -0.7% t 0.52 0.43Russia Market Vectors Russia ETF Dec 11 16.2 -13.2% t -22.8% t -33.7% t -40.2% t 0.39 0.41AsiaTaiwan TSEC weighted index Dec 11 9,013.1 -2.3% t -0.2% t -3.3% t 6.9% s 0.31 0.13China Shanghai Composite Index Dec 05 2,937.7 9.5% s 21.4% s 26.3% s 30.7% s 0.09 -0.10Japan NIKKEI 225 Dec 11 17,257.4 -3.5% t 0.8% s 8.5% s 11.2% s 0.08 0.01Hong Kong Hang Seng Dec 11 23,312.5 -2.2% t -2.1% t -5.5% t -0.1% t 0.08 0.02Korea Kospi Dec 11 1,916.6 -3.5% t -2.4% t -5.8% t -3.1% t 0.12 0.07South Asia and AustrailiaIndia Bombay Stock Exchange Dec 11 27,602.0 -3.4% t -1.1% t 2.2% s 30.4% s 0.22 0.17Indonesia Jakarta Dec 11 5,152.7 -0.5% t 2.4% s 0.4% s 20.6% s -0.08 -0.14Malaysia FTSE Bursa Malaysia KLCI Dec 11 1,744.6 -0.1% t -4.4% t -6.5% t -5.3% t 0.22 0.14Australia All Ordinaries Dec 11 5,207.4 -2.6% t -5.2% t -6.1% t 1.9% s 0.04 0.05New Zealand NZX 50 Index Gross Dec 11 5,502.1 -0.4% t 0.2% s 4.6% s 17.0% s 0.10 0.09South AmericaBrasil IBOVESPA Dec 11 49,861.0 -3.0% t -5.0% t -14.5% t -0.4% t 0.23 0.32Argentina MERVAL Buenos Aires Dec 11 8,650.7 -9.5% t -15.8% t -21.1% t 66.8% s 0.46 0.40Mexico Bolsa index Dec 11 41,714.6 -2.6% t -5.8% t -8.7% t -1.4% t 0.61 0.48MENA and AfricaEgypt Market Vectors Egypt ETF Dec 11 63.1 -6.7% t -8.9% t -13.3% t 19.8% s 0.31 0.19(Gulf States) Market Vectors Gulf States ETF Dec 11 26.9 -8.9% t -15.0% t -21.0% t 5.6% s 0.19 0.19South Africa iShares MSCI South Africa Index Dec 11 61.4 -8.0% t -9.5% t -10.8% t 1.8% s 0.59 0.49(Africa) Market Vectors Africa ETF Dec 11 25.6 -6.7% t -13.5% t -20.8% t -13.8% t 0.55 0.54CommoditiesUSD Spot Oil West Texas Int. Dec 08 $63.1 -8.5% t -18.5% t -31.9% t -35.0% t 0.19 0.42USD Gold LME Spot Dec 11 $1,219.5 1.3% s 5.9% s -2.2% t -2.8% t -0.03 0.03
Note: Correlations are based on daily arithmetic returns for the most recent 100 trading days.
www.lairdresearch.com December 12, 2014 Page 3
S&P 500 Composite Index
The S&P 500 Composite Index is widely regarded as the best singlegauge of the large cap U.S. equities market. A key figure is the valua-tion level of the S&P500 as measured by the Price/Earnings ratio. Wepresent two versions: (1) a 12-month trailing earnings version which
reflects current earnings but is skewed by short term variances and (2)a cyclically adjusted version which looks at the inflation adjusted earn-ings over a 10 year period (i.e. at least one business cycle). Forecastedearnings numbers are estimates provided by S&P.
S&P 500 Profit Margins and Overall Corporate Profit Margins (Trailing 12 months)
Per
cent
63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
02468
101214
02468101214
Per
cent
Total Corporate Profits (% of GDP) − median: 6.2%, Q3/14: 10.7%Net Profit Margin (S&P 500 Earnings / Revenue) − median: 6.6%, Q3/14: 9.2%
S&P Quarterly Earnings (USD$ Inflation Adjusted to current prices)
63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 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
−5.00 0.00 5.0010.0015.0020.0025.0030.0035.0040.00
−5.00 0.00 5.0010.0015.0020.0025.0030.0035.0040.00
Tech BubbleJapanese Asset Bubble
House BubbleAsian Financial Crisis
US Financial Crisis
Eurozone crisis
Oil Crisis I Oil Crisis II
Gulf WarSavings and Loans Crisis
High Inflation Period
Afganistan/Iraq WarVietnam War
Reported EarningsOperating Earnings
Trailing P/E Ratios for S&P500
63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 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
0
10
20
30
40
50
0
10
20
30
40
50
Mul
tiple
Mul
tiple
12−month P/E ( median = 17.4, Dec = 18.8)10−year CAPE ( median = 19.4, Dec = 25.5)
www.lairdresearch.com December 12, 2014 Page 4
S&P 500 Composite Distributions
This is a view of the price performance of the S&P 500 index com-panies. The area of each box is proportional to the company’s marketcap, while the colour is determined by the percentage change in price
over the past month. In addition, companies are sorted according totheir industry group.
AAPL2.5%
MSFT−0.57%
GOOG−4.8%
FB5.2%
ORCL4.5%
INTC7.7%
V8.9%
IBM−1.3%
CSCO9.8%
QCOM
MA
EMC
TXN
MU
NFLX FIS
MSI
EA
CA
BRK−B6.6%
WFC2.7%
JPM0.43%
BAC1.2%
C1.9%
GS
USB
AIG
MS
MET BLK
SPG
BK
PRU
ACE
BEN
CME
ALL
BBT
AON
CCI
CB WY
IVZ
L
RF
JNJ−0.69%
PFE5.7%
MRK0.71%
GILD−5.2%
AMGN2.8%
ABBV
UNH5.1%
CELG
BIIB
LLY
ACT
ABT
AGN
ESRXREGN
AET
VRTX
CI
ZTS A
DIS0.044%
CMCSA0.54%
HD4.4%
MCD
NKE
FOXA
TWX
LOW
F
PCLN GM
TGT
TJX
DTV
TWC LB
MAR
M
CMG OMC
RCL
GPS
WMT9.9%
PG3.5%
KO
PEP0.48%
PM−3.6%
CVS5.6%
MO2.6%
WAG
MDLZ
CL
GIS
KR
EL K
LO
GE−1.1%
UTX
MMM3.8%
UNP
UPS
BA
LMT
CAT
GD
DAL
PCP
RTN
NSC
ETN
DE
NOC
LUV
GLW
CMI
IR
XOM−5.7%
CVX
SLB COP
OXY
KMI
PSX
WMB
NOV
VLO
SE
HES
PXD
DD
MON
DOW
LYB
PX
PPG
SHW
IP
AA
CF
DUK
NEE
SO
D ED
VZ−8%
T−6.1%
Information Technology Financials
Health Care
Consumer Discretionary
Consumer Staples
Industrials
Energy Materials
Utilities
TelecommunicationsServices
<−25.0% −20.0% −15.0% −10.0% −5.0% 0.0% 5.0% 10.0% 15.0% 20.0% >25.0%
% Change in Price from Nov 3, 2014 to Dec 11, 2014
Average Median Median MedianSector Change P/Sales P/Book P/EHealth Care 3.7% s 3.4 4.1 25.4Consumer Staples 3.6% s 1.9 5.1 22.9Consumer Discretionary 3.6% s 1.6 4.2 20.3Financials 3.0% s 3.1 1.6 18.2Information Technology 2.4% s 3.4 3.9 21.3
Average Median Median MedianSector Change P/Sales P/Book P/EIndustrials 1.4% s 1.6 3.4 19.3Utilities 0.9% s 1.6 1.7 19.0Materials 0.2% s 1.6 3.5 23.6Telecommunications Services -6.7% t 1.3 4.3 30.9Energy -11.1% t 1.4 1.5 13.1
www.lairdresearch.com December 12, 2014 Page 5
US Equity Valuations
A key valuation metric is Tobin’s q: the ratio between the marketvalue of the entire US stock market versus US net assets at replacementcost (ie. what you pay versus what you get). Warren Buffet famouslyfollows stock market value as a percentage of GNP, which is highly(93%) correlated to Tobin’s q.
We can also take the reverse approach: assume the market hasvaluations correct, we can determine the required returns of future es-
timated earnings. These are quoted for both debt (using BAA ratedsecurities as a proxy) and equity premiums above the risk free rate (10year US Treasuries). These figures are alternate approaches to under-standing the current market sentiment - higher premiums indicate ademand for greater returns for the same price and show the level ofrisk-aversion in the market.
Tobin's q (Market Equity / Market Net Worth) and S&P500 Price/Sales
63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 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
0.25
0.50
0.75
1.00
1.25
1.50
1.75
0.25
0.50
0.75
1.00
1.25
1.50
1.75
Buying assets at a discount
Paying up for growth
Tobin Q (median = 0.75, Sep = 1.09)S&P 500 Price/Sales (median = 1.32, Sep = 1.73)
Equity and Debt Risk Premiums: Spread vs. Risk Free Rate (10−year US Treasury)
63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 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
0%
2%
4%
6%
8%
10%
0%
2%
4%
6%
8%
10%Implied Equity Premium (median = 4.2%, Nov = 4.9%)Debt (BAA) Premium (median = 2.0%, Nov = 2.6%)
www.lairdresearch.com December 12, 2014 Page 6
US Mutual Fund Flows
Fund flows describe the net investments in equity and bond mutualfunds in the US market, as described in ICI’s “Trends in Mutual FundInvesting” report. Note however that this is only part of the story as
it does not include ETF fund flows - part of the changes are investorsentering or leaving the market, and part is investors shifting to ETF’sfrom mutual funds.
US Net New Investment Cash Flow to Mutual Funds
US
$ bi
llion
s (m
onth
ly)
2007 2008 2009 2010 2011 2012 2013 2014
−40
−20
020
40
Domestic EquityWorld EquityTaxable BondsMunicipal Bonds
US Net New Investment Cash Flow to Mutual Funds
US
$ bi
llion
s (M
onth
ly)
2007 2008 2009 2010 2011 2012 2013 2014
−60
−40
−20
020
4060
Flows to EquityFlows to BondsNet Market Flows
www.lairdresearch.com December 12, 2014 Page 7
US Key Interest Rates
Interest rates are often leading indicators of stress in the financialsystem. The yield curve show the time structure of interest rates ongovernment bonds - Usually the longer the time the loan is outstanding,the higher the rate charged. However if a recession is expected, thenthe fed cuts rates and this relationship is inverted - leading to negativespreads where short term rates are higher than long term rates.
Almost every recession in the past century has been preceeded by an
inversion - though not every inversion preceeds a recession (just mostof the time).
For corporate bonds, the key issue is the spread between bond rates(i.e. AAA vs BAA bonds) or between government loans (LIBOR vsFedfunds - the infamous “TED Spread”). Here a spike correlates to anaversion to risk, which is an indication that something bad is happen-ing.
US Treasury Yield Curves
For
war
d In
stan
tane
ous
Rat
es (
%)
14 15 16 17 18 19 20 21 22 23 240.0
0.5
1.0
1.5
2.0
2.5
3.0
0.0
0.5
1.0
1.5
2.0
2.5
3.0Dec 10, 2014 (Today)Nov 10, 2014 (1 mo ago)Sep 10, 2014 (3 mo ago)10 Dec 2013 (1 yr ago)
3 Month & 10 Yr Treasury Yields
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
0%
1%
2%
3%
4%
5%
6%
7%
0%
1%
2%
3%
4%
5%
6%
7%10 Yr Treasury3 Mo TreasurySpread
AAA vs. BAA Bond Spreads
4%
5%
6%
7%
8%
9%
4%
5%
6%
7%
8%
9%
Per
cent
AAABAA
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
median: 90.00Dec 2014: 89.00
0100200300
0100200300
Spr
ead
(bps
)
LIBOR vs. Fedfunds Rate
0%
1%
2%
3%
4%
5%
6%
7%
0%
1%
2%
3%
4%
5%
6%
7%
Per
cent
3 mos t−billLIBOR
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
median: 36.81Dec 2014: 20.54
0100200300
0100200300
Spr
ead
(bps
)
www.lairdresearch.com December 12, 2014 Page 8
US Inflation
Generally, the US Fed tries to anchor long run inflation expectationsto approximately 2%. Inflation can be measured with the ConsumerPrice Index (CPI) or the Personal Consumption Expenditures (PCE)index.
In both cases, it makes sense to exclude items that vary quickly likeFood and Energy to get a clearer picture of inflation (usually called
Core Inflation). The Fed seems to think PCI more accurately reflectsthe entire basket of goods and services that households purchase.
Finally, we can make a reasonable estimate of future inflation ex-pectations by comparing real return and normal bonds to construct animputed forward inflation expectation. The 5y5y chart shows expected5 year inflation rates at a point 5 years in the future. Neat trick that.
Consumer Price Index
Per
cent
84 85 86 87 88 89 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
−1%
0%
1%
2%
3%
4%
5%
6%
−1%
0%
1%
2%
3%
4%
5%
6%
US Inflation Rate YoY% (Oct = 1.7%)US Inflation ex Food & Energy YoY% (Oct = 1.8%)
Personal Consumption Expenditures
Per
cent
(Ye
ar o
ver
Year
)
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−1
01
23
45
6
PCE Inflation Rate YoY% (Oct = 1.4%)PCE Core Inflation YoY% (Oct = 1.6%)
5−Year, 5−Year Forward Inflation Expectation Rate
Per
cent
08 09 10 11 12 13 14 15 16 17 18 19
−1
01
23
45
6
5 year forward Inflation ExpectationActual 5yr Inflation (CPI measure)Actual 5yr Inflation (PCE Measure)
www.lairdresearch.com December 12, 2014 Page 9
QE Taper Tracker
The US has been using the program of Quantitative Easing to pro-vide monetary stimulous to its economy. The Fed has engaged in aseries of programs (QE1, QE2 & QE3) designed to drive down longterm rates and improve liquidity though purchases of treasuries, mor-gage backed securites and other debt from banks.
The higher demand for long maturity securities would drive up theirprice, but as these securities have a fixed coupon, their yield would bedecreased (yield ≈ coupon / price) thus driving down long term rates.
In 2011-2012, “Operation Twist” attempted to reduce rates withoutincreasing liquidity. They went back to QE in 2013.
The Fed chairman suggested in June 2013 the economy was recover-ing enough that they could start slowing down purchases (“tapering”).The Fed backed off after a brief market panic. The Fed announced inDec 2013 that it was starting the taper, a decision partly driven byseeing key targets of inflation around 2% and unemployment being lessthan 6.5%. In Oct 2014, they announced the end of purchases.
QE Asset Purchases to Date (Treasury & Mortgage Backed Securities)
Trill
ions
0.00.51.01.52.02.5
0.00.51.01.52.02.5
QE1 QE2 Operation Twist QE3 TaperTreasuries
Mortgage Backed Securities
Total Monthly Asset Purchases (Treasury + Mortgage Backed Securities)
Bill
ions
−100−50
050
100150200
−100−50050100150200
Month to date Dec 10: $−0.06
Inflation and Unemployment − Relative to Targets
Per
cent
02468
10
0246810
Target Unemployment 6.5%Target Inflation 2%
U.S. 10 Year and 3 Month Treasury Constant Maturity Yields
Per
cent
012345
012345
2008 2009 2010 2011 2012 2013 2014
Short Term Rates:Once at zero, Fed moved to QE
Long Term Rates:Moving up in anticipation of Taper?
www.lairdresearch.com December 12, 2014 Page 10
Exchange Rates
10 Week Moving Average CAD Exchange Rates
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
0.62
0.71
0.81
0.90
1.00
1.09
US
A /
CA
D
0.55
0.61
0.66
0.72
0.77
0.82
Eur
o / C
AD
59.
16 7
4.71
90.
2610
5.81
121.
3613
6.91
Japa
n / C
AD
0.38
0.44
0.49
0.55
0.61
0.67
U.K
. / C
AD
0.59
0.98
1.36
1.74
2.12
2.51
Bra
zil /
CA
D
CAD Appreciating
CAD Depreciating
Change in F/X: Nov 3 2014 to Dec 5 2014(Trade Weighted Currency Index of USD Trading Partners)
−3.0%
−1.5%
1.5%
3.0%
Euro−1.1%
UK−0.2%
Japan 3.8%
South Korea 1.0%
China−2.1%
India−1.8%
Brazil 1.5%
Mexico 3.1%
Canada−1.7%
USA 2.7%
Country vs. Average
AppreciatingDepreciating
% Change over 3 months vs. Canada
<−10.0% −8.0% −6.0% −4.0% −2.0% 0.0% 2.0% 4.0% 6.0% 8.0% >10.0%
CAD depreciatingCAD appreciating
ARG 2.7%
AUS −5.1%
BRA −8.9%
CHN 4.9%
IND 2.0%
RUS−29.1%
USA 4.6%
EUR0.6%
JPY−5.7%
KRW−1.7%
MXN−5.3%
ZAR−0.9%
www.lairdresearch.com December 12, 2014 Page 11
US Banking Indicators
The banking and finance industry is a key indicator of the healthof the US economy. It provides crucial liquidity to the economy in theform of credit, and the breakdown of that system is one of the exac-erbating factors of the 2008 recession. Key figures to track are the
Net Interest Margins which determine profitability (ie. the differencebetween what a bank pays to depositors versus what the bank is paidby creditors), along with levels of non-performing loans (i.e. loan lossreserves and actual deliquency rates).
US Banks Net Interest Margin
Per
cent
3.5
4.0
4.5
median: 3.952014 Q3: 3.09
Repos Outstanding with Fed. Reserve
Bill
ions
of D
olla
rs
5015
025
0
median: 54.06Dec 2014: 247.35
Bank ROE − Assets between $300M−$1B
Per
cent
05
1015
median: 12.832014 Q3: 9.57
Consumer Credit Outstanding
% Y
early
Cha
nge
−5
05
1015
20
median: 7.69Oct 2014: 6.67
Total Business Loans%
Yea
rly C
hang
e
−20
010
20median: 8.51Oct 2014: 11.91
US Nonperforming Loans
Per
cent
12
34
5
median: 2.292014 Q3: 2.13
St. Louis Financial Stress Index
Inde
x
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
02
46
median: 0.028Dec 2014: −1.07
Commercial Paper Outstanding
Trill
ions
of D
olla
rs
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
1.0
1.4
1.8
2.2
median: 1.36Dec 2014: 1.09
Residential Morgage Delinquency Rate
Per
cent
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
24
68
10
median: 2.312014 Q3: 6.98
www.lairdresearch.com December 12, 2014 Page 12
US Employment Indicators
Unemployment rates are considered the “single best indicator ofcurrent labour conditions” by the Fed. The pace of payroll growth ishighly correlated with a number of economic indicators.Payroll changesare another way to track the change in unemployment rate.
Unemployment only captures the percentage of people who are inthe labour market who don’t currently have a job - another measure
is what percentage of the whole population wants a job (employed ornot) - this is the Participation Rate.
The Beveridge Curve measures labour market efficiency by lookingat the relationship between job openings and the unemployment rate.The curve slopes downward reflecting that higher rates of unemploy-ment occur coincidentally with lower levels of job vacancies.
Unemployment Rate
Per
cent
79 80 81 82 83 84 85 86 87 88 89 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
median: 6.20Nov 2014: 5.804
56789
1011
4567891011
Per
cent
4 5 6 7 8 9 10
2.0
2.5
3.0
3.5
4.0
Beveridge Curve (Unemployment vs. Job Openings)
Unemployment Rate (%)
Job
Ope
ning
s (%
tota
l Em
ploy
men
t)
Dec 2000 − Dec 2008Jan 2009 − Sep 2014Oct 2014
Participation Rate
Per
cent
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
6364
6566
67
median: 66.10Nov 2014: 62.80
Total Nonfarm Payroll Change
Mon
thly
Cha
nge
(000
s)
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−50
00
500
median: 162.00Nov 2014: 321.00
www.lairdresearch.com December 12, 2014 Page 13
There are a number of other ways to measure the health of employ-ment. The U6 Rate includes people who are part time that want afull-time job - they are employed but under-utilitized. Temporary helpdemand is another indicator of labour market tightness or slack.
The large chart shows changes in private industry employment lev-els over the past year, versus how well those job segments typically pay.Lots of hiring in low paying jobs at the expense of higher paying jobsis generally bad, though perhaps not unsurprising in a recovery.
Median Duration of Unemployment
Wee
ks
510
1520
25 median: 8.60Nov 2014: 12.80
(U6) Unemployed + PT + Marginally Attached
Per
cent
810
1214
16
median: 9.70Nov 2014: 11.40
4−week moving average of Initial Claims
Jan
1995
= 1
00
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
5010
015
020
0
median: 108.07Dec 2014: 92.01
Unemployed over 27 weeks
Mill
ions
of P
erso
ns
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
01
23
45
67
median: 0.78Nov 2014: 2.77
Services: Temp Help
Mill
ions
of P
erso
ns
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
1.5
2.0
2.5
3.0
median: 2.24Nov 2014: 2.98
0 200 400 600
15
20
25
30
35
Annual Change in Employment Levels (000s of Workers)
Ave
rage
wag
es (
$/ho
ur)
Private Industry Employment Change (1 year)
ConstructionDurable Goods
Education
Financial Activities
Health Services
Information
Leisure and Hospitality
Manufacturing
Mining and Logging
Nondurable GoodsOther Services
Professional &Business Services
Retail Trade
Transportation
Utilities
Wholesale Trade
Circle size relative to total employees in industry
www.lairdresearch.com December 12, 2014 Page 14
US Business Activity Indicators
Business activity is split between manufacturing activity and non-manufacturing activity. We are focusing on forward looking business
indicators like new order and inventory levels to give a sense of thecurrent business environment.
Manufacturing Sector: Real Output
YoY
Per
cent
Cha
nge
−10
010
20
median: 6.142014 Q3: 10.50
ISM Manufacturing − PMI
Inde
x
3040
5060
70
Nov 2014: 58.70
manufac. expanding
manufac. contracting
ISM Manufacturing: New Orders Index
Inde
x
3040
5060
7080 Nov 2014: 66.00
Increase in new orders
Decrease in new orders
Non−Manufac. New Orders: Capital Goods
Bill
ions
of D
olla
rs
4050
6070
median: 57.36Oct 2014: 71.19
Average Weekly Hours: Manufacturing
Hou
rs
3940
4142
43
median: 41.10Nov 2014: 42.20
Industrial Production: Manufacturing
YoY
Per
cent
Cha
nge
−15
−5
05
10
median: 3.31Oct 2014: 3.74
Total Business: Inventories to Sales Ratio
Rat
io
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
1.1
1.2
1.3
1.4
1.5
1.6
median: 1.37Oct 2014: 1.30
Chicago Fed: Sales, Orders & Inventory
Inde
x
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−0.
50.
00.
5 Oct 2014: 0.11Above ave growth
Below ave growth
ISM Non−Manufacturing Bus. Activity Index
Inde
x
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
3545
5565
Nov 2014: 64.40
Growth
Contraction
www.lairdresearch.com December 12, 2014 Page 15
US Consumption Indicators
Variations in consumer activity are a leading indicator of thestrength of the economy. We track consumer sentiment (their expec-
tations about the future), consumer loan activity (indicator of newpurchase activity), and new orders and sales of consumer goods.
U. Michigan: Consumer Sentiment
Inde
x 19
66 Q
1 =
100
5060
7080
9011
0
median: 88.30Nov 2014: 88.80
Consumer Loans (All banks)
YoY
% C
hang
e
−10
010
2030
40
median: 7.82Oct 2014: 3.85
AccountingChange
Deliquency Rate on Consumer Loans
Per
cent
2.5
3.0
3.5
4.0
4.5 median: 3.47
2014 Q3: 2.21
New Orders: Durable Consumer Goods
YoY
% C
hang
e
−20
020
median: 4.59Oct 2014: −0.20
New Orders: Non−durable Consumer Goods
YoY
% C
hang
e
−20
010
20
median: 4.28Oct 2014: −2.22
Personal Consumption & Housing Index
Inde
x
−0.
40.
00.
20.
4
median: 0.02Oct 2014: −0.12above ave growth
below ave growth
Light Cars and Trucks Sales
Mill
ions
of U
nits
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
1012
1416
1820
22
median: 14.78Nov 2014: 17.09
Personal Saving Rate
Per
cent
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
24
68
10
median: 5.60Oct 2014: 5.00
Real Retail and Food Services Sales
YoY
% C
hang
e
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−10
−5
05
median: 2.54Oct 2014: 2.82
www.lairdresearch.com December 12, 2014 Page 16
US Housing
Housing construction is only about 5-8% of the US economy, how-ever a house is typically the largest asset owned by a household. Sincepersonal consumption is about 70% of the US economy and house val-ues directly impact household wealth, housing is an important indicatorin the health of the overall economy. In particular, housing investment
was an important driver of the economy getting out of the last fewrecessions (though not this one so far). Here we track housing pricesand especially indicators which show the current state of the housingmarket.
15 20 25 30 35
150
200
250
300
Personal Income vs. Housing Prices (Inflation adjusted values)
New
Hom
e P
rice
(000
's)
Disposable Income Per Capita (000's)
Oct 2014
r2 : 89.2%Range: Jan 1959 − Oct 2014Blue dots > +5% change in next yearRed dots < −5% change in next year
New Housing Units Permits Authorized
Mill
ions
of U
nits
0.5
1.0
1.5
2.0
2.5
median: 1.36Oct 2014: 1.09
New Home Median Sale Price
Sal
e P
rice
$000
's
100
150
200
250
300
Oct 2014: 305.00
Homeowner's Equity Level
Per
cent
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
4050
6070
80 median: 66.502014 Q3: 53.94
New Homes: Median Months on the Market
Mon
ths
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
46
810
1214 median: 5.00
Oct 2014: 3.00
US Monthly Supply of Homes
Mon
ths
Sup
ply
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
46
810
12 median: 5.90Oct 2014: 5.60
www.lairdresearch.com December 12, 2014 Page 17
US Housing - FHFA Quarterly Index
The Federal Housing Finance Agency provides a quarterly surveyon house prices, based on sales prices and appraisal data. This gener-ates a housing index for 355 municipal areas in the US from 1979 topresent. We have provided an alternative view of this data looking atthe change in prices from the peak in the 2007 time frame.
The goal is to provide a sense of where the housing markets are
weak versus strong.The colours represent gain or losses since the startof the housing crisis (defined as the maximum price between 2007-2009for each city). The circled dots are the cities in the survey, while thebackground colours are interpolated from these points using a loesssmoother.
Change from 2007 Peak − Q3 2014
−50%
−40%
−30%
−20%
−10%
0%
10%
20%
30%
40%
50%
Today's Home Prices
Percentage Change from 2007−2009 Peak
Fre
quen
cy
−75% −50% −25% 0% 25% 50% 75%
Year over Year Change − Q3 2014
−10%
−8%
−6%
−4%
−2%
0%
2%
4%
6%
8%
10%
YoY Change in this quarter
YoY Percent Change
Fre
quen
cy
−15% −10% −5% 0% 5% 10% 15%
www.lairdresearch.com December 12, 2014 Page 18
Global Business Indicators
Global Manufacturing PMI Reports
The Purchasing Managers’ Index (PMI) is an indicator reflectingpurchasing managers’ acquisition of goods and services. An index read-ing of 50.0 means that business conditions are unchanged, a numberover 50.0 indicates an improvement while anything below 50.0 suggests
a decline. The further away from 50.0 the index is, the stronger thechange over the month. The chart at the bottom shows a moving av-erage of a number of PMI’s, along with standard deviation bands toshow a global average.
Global M−PMI − November 2014
<40.0 42.0 44.0 46.0 48.0 50.0 52.0 54.0 56.0 58.0 >60.0
Steady ExpandingContracting
Eurozone50.1
Global PMI51.8
TWN51.4MEX
54.3
KOR49.0
JPN52.0
VNM52.1
IDN48.0
ZAF50.5
AUS50.1
BRA48.7
CAN55.3
CHN50.0
IND53.3
RUS51.7
SAU57.6
USA54.8
Global M−PMI Monthly Change
<−5.0 −4.0 −3.0 −2.0 −1.0 0.0 1.0 2.0 3.0 4.0 >5.0
PMI Change ImprovingDeteriorating
Eurozone−0.5
Global PMI−0.4
TWN−0.6MEX
1.0
KOR0.3
JPN−0.4
VNM1.1
IDN−1.2
ZAF−2.2
AUS 0.7
BRA−0.4
CAN 0.0
CHN−0.4
IND 1.7
RUS 1.4
SAU−1.5
USA−1.1
Purchase Managers Index (Manufacturing) − China, Japan, USA, Canada, France, Germany, Italy, UK, Australia
04 05 06 07 08 09 10 11 12 13 14
3040
5060
70
3040
5060
70
Business Conditions Contracting
Business Conditions Expanding
www.lairdresearch.com December 12, 2014 Page 19
Global Manufacturing PMI Chart
This is an alternate view of the global PMI reports. Here, we lookat all the various PMI data series in a single chart and watch theirevolution over time.
Red numbers indicate contraction (as estimated by PMI) whilegreen numbers indicate expansion.
Nov
12
Dec
12
Jan
13
Feb
13
Mar
13
Apr
13
May
13
Jun
13
Jul 1
3
Aug
13
Sep
13
Oct
13
Nov
13
Dec
13
Jan
14
Feb
14
Mar
14
Apr
14
May
14
Jun
14
Jul 1
4
Aug
14
Sep
14
Oct
14
Nov
14
Australia
India
Indonesia
Vietnam
Taiwan
China
Korea
Japan
South Africa
Saudi Arabia
Turkey
Russia
United Kingdom
Greece
Germany
France
Italy
Czech Republic
Spain
Poland
Ireland
Netherlands
Eurozone
Brazil
Mexico
Canada
United States
Global PMI 49.6 50.0 51.5 50.9 51.2 50.4 50.6 50.6 50.8 51.6 51.8 52.1 53.1 53.3 53.0 53.2 52.4 51.9 52.2 52.6 52.4 52.6 52.2 52.2 51.8
52.8 56.1 55.8 54.3 54.6 52.1 52.3 52.0 53.7 53.1 52.8 51.8 54.7 55.0 53.7 57.1 55.5 55.4 56.4 57.3 55.8 57.9 57.5 55.9 54.8
50.4 50.4 50.5 51.7 49.3 50.1 53.2 52.4 52.0 52.1 54.2 55.6 55.3 53.5 51.7 52.9 53.3 52.9 52.2 53.5 54.3 54.8 53.5 55.3 55.3
55.6 57.1 55.0 53.4 52.2 51.7 51.7 51.3 49.7 50.8 50.0 50.2 51.9 52.6 54.0 52.0 51.7 51.8 51.9 51.8 51.5 52.1 52.6 53.3 54.3
52.2 51.1 53.2 52.5 51.8 50.8 50.4 50.4 48.5 49.4 49.9 50.2 49.7 50.5 50.8 50.4 50.6 49.3 48.8 48.7 49.1 50.2 49.3 49.1 48.7
46.8 46.1 47.9 47.9 46.8 46.7 48.3 48.8 50.3 51.4 51.1 51.3 51.6 52.7 54.0 53.2 53.0 53.4 52.2 51.8 51.8 50.7 50.3 50.6 50.1
48.2 49.6 50.2 49.0 48.0 48.2 48.7 48.8 50.8 53.5 55.8 54.4 56.8 57.0 54.8 55.2 53.7 53.4 53.6 52.3 53.5 51.7 52.2 53.0 54.6
52.4 51.4 50.3 51.5 48.6 48.0 49.7 50.3 51.0 52.0 52.7 54.9 52.4 53.5 52.8 52.9 55.5 56.1 55.0 55.3 55.4 57.3 55.7 56.6 56.2
48.2 48.5 48.6 48.9 48.0 46.9 48.0 49.3 51.1 52.6 53.1 53.4 54.4 53.2 55.4 55.9 54.0 52.0 50.8 50.3 49.4 49.0 49.5 51.2 53.2
45.3 44.6 46.1 46.8 44.2 44.7 48.1 50.0 49.8 51.1 50.7 50.9 48.6 50.8 52.2 52.5 52.8 52.7 52.9 54.6 53.9 52.8 52.6 52.6 54.7
48.2 46.0 48.3 49.9 49.1 49.5 50.1 51.0 52.0 53.9 53.4 54.5 55.4 54.7 55.9 56.5 55.5 56.5 57.3 54.7 56.5 54.3 55.6 54.4 55.6
45.1 46.7 47.8 45.8 44.5 45.5 47.3 49.1 50.4 51.3 50.8 50.7 51.4 53.3 53.1 52.3 52.4 54.0 53.2 52.6 51.9 49.8 50.7 49.0 49.0
44.5 44.6 42.9 43.9 44.0 44.4 46.4 48.4 49.7 49.7 49.8 49.1 48.4 47.0 49.3 49.7 52.1 51.2 49.6 48.2 47.8 46.9 48.8 48.5 48.4
46.8 46.0 49.8 50.3 49.0 48.1 49.4 48.6 50.7 51.8 51.1 51.7 52.7 54.3 56.5 54.8 53.7 54.1 52.3 52.0 52.4 51.4 49.9 51.4 49.5
41.8 41.4 41.7 43.0 42.1 45.0 45.3 45.4 47.0 48.7 47.5 47.3 49.2 49.6 51.2 51.3 49.7 51.1 51.0 49.4 48.7 50.1 48.4 48.8 49.1
49.2 51.2 50.5 47.9 48.6 50.2 51.3 52.9 54.8 57.2 56.3 56.5 58.4 57.3 56.7 56.2 55.3 57.3 57.0 57.5 55.4 52.5 51.6 53.2 53.5
52.3 50.0 52.0 52.0 50.8 50.6 50.4 51.7 49.2 49.4 49.4 51.8 49.4 48.8 48.0 48.5 48.3 48.5 48.9 49.1 51.0 51.0 50.4 50.3 51.7
51.6 53.1 54.0 53.5 52.3 51.3 51.1 51.2 49.8 50.9 54.0 53.3 55.0 53.5 52.7 53.4 51.7 51.1 50.1 48.8 48.5 50.3 50.4 51.5 52.2
57.0 58.9 58.1 58.5 58.9 58.0 57.3 56.6 56.6 57.5 58.7 56.7 57.1 58.7 59.7 58.6 57.0 58.5 57.0 59.2 60.1 60.7 61.8 59.1 57.6
49.5 47.4 49.1 53.6 49.3 50.5 50.4 51.6 52.2 56.5 49.1 51.5 51.6 50.5 50.3 51.5 50.3 47.4 44.3 46.6 45.9 49.0 50.7 52.7 50.5
46.5 45.0 47.7 48.5 50.4 51.1 51.5 52.3 50.7 52.2 52.5 54.2 55.1 55.2 56.6 55.5 53.9 49.4 49.9 51.5 50.5 52.5 51.7 52.4 52.0
48.2 50.1 49.9 50.9 52.0 52.6 51.1 49.4 47.2 47.5 49.7 50.2 50.4 50.8 50.9 49.8 50.4 50.2 49.5 48.4 49.3 50.3 48.8 48.7 49.0
50.6 51.5 50.4 50.4 51.6 50.4 49.2 48.2 47.7 50.1 50.2 50.9 50.8 50.5 49.5 48.5 48.0 48.1 49.4 50.7 51.7 50.2 50.2 50.4 50.0
47.4 50.6 51.5 50.2 51.2 50.7 47.1 49.5 48.6 50.0 52.0 53.0 53.4 55.2 55.5 54.7 52.7 52.3 52.4 54.0 55.8 56.1 53.3 52.0 51.4
50.5 49.3 50.1 48.3 50.8 51.0 48.8 46.4 48.5 49.4 51.5 51.5 50.3 51.8 52.1 51.0 51.3 53.1 52.5 52.3 51.7 50.3 51.7 51.0 52.1
51.5 50.7 49.7 50.5 51.3 51.7 51.6 51.0 50.7 48.5 50.2 50.9 50.3 50.9 51.0 50.5 50.1 51.1 52.4 52.7 52.7 49.5 50.7 49.2 48.0
53.7 54.7 53.2 54.2 52.0 51.0 50.1 50.3 50.1 48.5 49.6 49.6 51.3 50.7 51.4 52.5 51.3 51.3 51.4 51.5 53.0 52.4 51.0 51.6 53.3
44.3 44.3 40.2 45.6 44.4 36.7 43.8 49.6 42.0 46.4 51.7 53.2 47.7 47.6 46.7 48.6 47.9 44.8 49.2 48.9 50.7 47.3 46.5 49.4 50.1
www.lairdresearch.com December 12, 2014 Page 20
OECD International Trade Data
The OECD calculates import and export values for member coun-tries. Figures are seasonally adjusted and measured in billions of USdollars. Red lines indicate exports, while blue lines indicate imports.Green lines indicate the zero level.
The top part of the graph shows the changes in exports and importson a year-over-year basis, while the bottom part shows the differencebetween exports and imports for that given month (i.e. the trade bal-ance)
China
YoY
Cha
nge
0
50000
100000
150000
200000
Bal
ance
08 09 10 11 12 13 140
10000200003000040000
US
YoY
Cha
nge
−60−40−20
02040
Bal
ance
08 09 10 11 12 13 14
−80−60−40−20
0
Canada
YoY
Cha
nge
−15−10−5
05
10
Bal
ance
08 09 10 11 12 13 14
−20246
Germany
YoY
Cha
nge
−40
−20
0
20
Bal
ance
08 09 10 11 12 13 14
05
1015202530
JapanYo
Y C
hang
e
−30−20−10
01020
Bal
ance
08 09 10 11 12 13 14
−15−10−5
05
10
South Korea
YoY
Cha
nge
−15−10−5
05
1015
Bal
ance
08 09 10 11 12 13 14
−4−2
0246
India
YoY
Cha
nge
−10−5
05
1015
Bal
ance
08 09 10 11 12 13 14
−15−10−5
0
Australia
YoY
Cha
nge
−6−4−2
0246
Bal
ance
08 09 10 11 12 13 14
−2−1
01234
Eurozone
YoY
Cha
nge
−80−60−40−20
02040
Bal
ance
08 09 10 11 12 13 14
−100
1020
www.lairdresearch.com December 12, 2014 Page 21
Canadian Indicators
Retail Trade (SA)
YoY
Per
cent
Cha
nge
−5
05
10
median: 4.73Sep 2014: 4.53
Total Manufacturing Sales Growth
YoY
Per
cent
Gro
wth
−20
010
20
median: 4.21Sep 2014: 7.26
Manufacturing New Orders Growth
YoY
Per
cent
Gro
wth
−30
−10
010
2030
median: 4.58Sep 2014: 13.94
10yr Government Bond Yields
02
46
810
median: 5.78Nov 2014: 1.93
Manufacturing PMI
5051
5253
5455
Nov 2014: 55.30
Sales and New Orders (SA)
YoY
Per
cent
Cha
nge
−20
010
20
SalesNew Orders (smoothed)
Tbill Yield Spread (10 yr − 3mo)
Spr
ead
(Per
cent
)
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−1
01
23
4
median: 1.35Nov 2014: 1.02
Inflation (total and core)
YoY
Per
cent
Cha
nge
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−1
01
23
4
median: 1.97Oct 2014: 2.36
TotalCore
Inventory to Sales Ratio (SA)
Rat
io
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
1.3
1.4
1.5
1.6
median: 1.35Sep 2014: 1.34
www.lairdresearch.com December 12, 2014 Page 22
6.9 7.0 7.1 7.2 7.3 7.4 7.5 7.6
1.3
1.4
1.5
1.6
1.7
1.8
1.9
Beveridge Curve (Mar 2011 − Aug 2014)
Unemployment Rate
Vac
ancy
rat
e (I
ndus
tria
l)
Mar 2011 − Dec 2012Jan 2013 − Jul 2014Aug 2014
Ownership/Rental Price Ratio
Rat
io o
f Acc
omod
atio
n O
wne
rshi
p/R
ent R
atio
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
9010
011
012
013
014
015
0
CalgaryMontrealVancouverToronto
Note: Using prices relative to 2002 as base year
Ownership relatively moreexpensive vs 2002
Rent relatively more expensive vs 2002
Unemployment Rate (SA)
Per
cent
34
56
78
910
Canada 6.6%Alberta 4.5%Ontario 7.0%
Debt Service Ratios (SA)
Per
cent
46
810
Total Debt: 6.9%Mortgage: 3.5%Consumer Debt: 6.5%
Housing Starts and Building Permits (smoothed)
YoY
Per
cent
Cha
nge
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−40
−20
020
40
PermitsStarts
www.lairdresearch.com December 12, 2014 Page 23
European Indicators
Unemployment Rates
Per
cent
age
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
05
1015
2025
30
Business Employment Expectations
Inde
x
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−40
−20
010
Industrial Orderbook Levels
Inde
x
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−60
−40
−20
020
Country EmploymentExpect.
Unempl.(%)
Bond Yields(%)
RetailTurnover
ManufacturingTurnover
Inflation(YoY %)
IndustryOrderbook
PMI
Series Dates Nov 2014 Oct 2014 Oct 2014 Oct 2014 Oct 2014 Oct 2014 Nov 2014 Nov 2014� France -11.0 s 10.5 u 1.26 t 103.9 t 109.4 s 0.5 s -19.4 t 48.4 t� Germany -7.2 t 4.9 t 0.79 t NA 113.5 s 0.7 t -9.0 s 49.5 t� United Kingdom 7.6 t 5.9 t 1.82 t 111.7 s NA 1.2 t 5.6 s 53.5 s� Italy -7.9 u 13.2 s 2.42 s NA NA 0.2 s -22.2 s 49.0 u� Greece 5.7 s 25.9 t 7.26 s NA NA -1.8 t -12.0 s 49.1 s� Spain -4.2 t 24.0 t 2.12 t NA NA -0.2 s -9.4 s 54.7 s� Eurozone (EU28) -4.1 t 10.0 u 1.78 t 104.6 s 108.7 t 0.4 t -12.1 s NA
www.lairdresearch.com December 12, 2014 Page 24
Government Bond YieldsLo
ng T
erm
Yie
lds
%
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
02
46
810
Economic Sentiment
Inde
x
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
6070
8090
110
130
Consumer Confidence
Inde
x
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−10
0−
60−
200
20Inflation (Harmonized Prices)
96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
median: 2.00Sep 2014: 0.30−1
0
1
2
3
4
5
6
7 Euro AreaUS
Harmonized Inflation: Sep 2014
AUT 1.4%
BGR−1.5%
DEU 0.7%
ESP−0.2%
FIN 1.2%
FRA 0.5%
GBR 1.2%
GRC−1.8%
HUN−0.3%
IRL 0.4%
ISL 1.0%
ITA 0.2%
NOR 1.9%
POL−0.3%
ROU 1.8%
SWE 0.3%
<−1.0%0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% >7.0%
YoY % Change in Prices
PMI: November 2014
<40.042.0 44.0 46.0 48.0 50.0 52.0 54.0 56.0 58.0>60.0
Steady ExpandingContracting
BRA48.7
CAN55.3
DEU49.5
ESP54.7
FRA48.4
GBR53.5
GRC49.1
IRL56.2
ITA49.0
MEX54.3
POL53.2
SAU57.6
TUR52.2
USA54.8
RUS51.7
PMI Change: Oct − Nov
<−5.0−4.0 −3.0 −2.0 −1.0 0.0 1.0 2.0 3.0 4.0 >5.0
PMI Change ImprovingDeteriorating
CAN 0.0
DEU−1.9
ESP 2.1
FRA−0.1
GBR 0.3
GRC 0.3
IRL−0.4
ITA 0.0
POL 2.0
TUR 0.7
USA−1.1
RUS1.4
www.lairdresearch.com December 12, 2014 Page 25
Chinese Indicators
Tracking the Chinese economy is a tricky. As reported in the Fi-nancial Times, Premier Li Keqiang confided to US officials in 2007 thatgross domestic product was “man made” and “for reference only”. In-stead, he suggested that it was much more useful to focus on three alter-native indicators: electricity consumption, rail cargo volumes and bank
lending (still tracking down that last one). We also include the PMI- which is an official version put out by the Chinese government anddiffers slightly from an HSBC version. Finally we include the ShanghaiComposite Index as a measure of stock performance.
Manufacturing PMI
99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
4045
5055
60
Nov 2014: 50.00
Shanghai Composite Index
Inde
x V
alue
(M
onth
ly H
igh/
Low
)
99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
010
0030
0050
00
Dec 2014: NA
Electricity Generated
100
Mill
ion
KW
H (
log
scal
e)
99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
1000
2000
3000
5000
Sep 2014: 4542.00
Electricity GeneratedLong Term TrendShort Term Average
Consumer Confidence Index
Inde
x
99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
9810
010
210
410
610
8
median: 103.10Sep 2014: 105.40
Exports
YoY
Per
cent
Cha
nge
99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
−20
020
4060
80
median: 19.20Sep 2014: 15.30
Retail Sales Growth
YoY
Per
cent
Cha
nge
99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
1015
20
median: 13.10Sep 2014: 11.60
www.lairdresearch.com December 12, 2014 Page 26
Global Climate Change
Temperature and precipitation data are taken from the US NationalClimatic Data Center and presented as the average monthly anomalyfrom the previous 6 months. Anomalies are defined as the difference
from the average value over the period from 1961-1990 for precipitationand 1971-2000 for temperature.
Average Temperature Anomalies from May 2014 - Oct 2014
<−4.0 −3.0 −2.0 −1.0 0.0 1.0 2.0 3.0 >4.0Anomalies in Celcius WarmerCooler Anomalies in Celcius
−4 −2 0 2 4
Average 6 month Precipitation Anomalies from May 2014 - Oct 2014
<−40.0 −30.0 −20.0 −10.0 0.0 10.0 20.0 30.0 >40.0Anomalies in millimeters WetterDrier Anomalies in millimeters
−40 −20 0 20 40
www.lairdresearch.com December 12, 2014 Page 27