81462053 stifel market strategy 2012-02-13 the shape of things to come
TRANSCRIPT
Barry B. Bannister, CFA [email protected] (443) 224-1317
Stifel Nicolaus Equity Trading Desk US: (800) 424-8870 Canada: (866) 752-4446
Market Commentary/Strategy
The shape of things to come: How we think the S&P path in 2012 resembles 2011
We see the S&P 500 in 2012 at 1,400 and 1,600 by 2013/14/15, with “old” commodity equities and small capexperiencing a final legacy burst of strength versus the S&P in 1Q/2Q12. By mid-2012 we see stocks sinkingand expect QE3 as fuel cost and deflation issues resurge, presaging a strong finish for the year. Beyond1H12, we see large cap growth leading the S&P 500 to ~2014/15, with greater Financial stock participationdue to U.S. GDP traction, a consensus that deflation has been averted, Fed laxity as the offset to fiscaltightening, and growing foreign portfolio inflows to the U.S. as the EM & Europe painfully rebalance.
We target 1,400 S&P 500 in 2012 and 1,600 by 2013/14/15 as P/E expansion in the face of slowing EPS combines with
a favorable liquidity backdrop that is supportive of stocks. Many observers point to the low S&P 500 P/E as a reason to
buy stocks. We look beyond the low P/E today, however, and observe that U.S. corporations appear to be
"over-earning" by ~20% in the aggregate due to 0% rates and fiscal policy. We believe that is hardly worth a rich P/E.
As a result, we think equity gains are more likely to come from revaluation that comes in "waves" due to increasing
confidence with respect to GDP as opposed to policy-supported EPS growth from such an elevated level as exists
today, especially since policy support will only be ratcheted back from mid-2012 onward, in our view. Make no mistake,
we still expect policy to shape market oscillations, and foresee equities rolling with QE3 by mid-2012 followed by the
4Q12 tax cut extension debate, for example.
In our contrary sense, we believe U.S. policy to rebalance the world (exporting inflation via money creation to avoid
deflation), combined with productivity demographics, may result in a “mini” 2H 1990s growth stock boom. A case can
be made for a 10%/year S&P 500 total return (8% price + 2% dividend) over the next decade, as described in our
attached exhibits. But we're taking this range-bound secular bear market one quarter at a time, and our unchanged list
of favorite industries in 1Q12 from page (12) of our 1/3/12 report HERE are repeated on page 17-18 of this report.
In short, we believe the “shape” of the S&P 500 in 2012 will look much like 2011, but with a stronger finish and less
emphasis on safety and yield. We expect 1H12 optimism regarding slow-but-steady GDP traction, a eurozone 1H12
“deal” with the euro peaking near 1.40 versus the dollar, and China re-stimulating now that hot money inflows have
subsided. That gives way to a U.S. fuel price shock mid-year, QE3 is response (we expect to buy the rumor and sell the
fact with QE3), the euro/dollar sinking back to 1.25 as rescue requires rate suppression, and a summer swoon due to
correlation that is fading...but not fast enough. Fiscal progress on taxes and GDP traction should support equities in a
4Q rally from that point, in our view.
We still see commodity equities and their brethren the Emerging Market stocks status as a leading “investment” fading
after their Oct-11 to Apr-12 seasonal rally, which we described as our view on Oct-11, 2011 HERE. We also see small
cap edging out the S&P 500 in 1Q12 as implied correlation falls, but thereafter it is less clear for small caps. U.S. bank
stocks should beat the S&P 500 in 2012E, in our view, but we view banks in general as more a 2H12/2013 story since
economic confidence must build first before they lead the market. In fact, we look to eventual bank stock leadership as
a bearish sign, since loan growth is "early cycle" during private leveraging but "late cycle" during private de-leveraging;
we would expect loan growth over time to eventually invite a very difficult Fed exit, a subject of future research.
February 13, 2012
Market Strategy*******
Stifel Nicolaus does and seeks to do business with companies covered in its research reports. As a result,investors should be aware that the firm may have a conflict of interest that could affect the objectivity of thisreport. Investors should consider this report as only a single factor in making their investment decision.
All relevant disclosures and certifications appear on pages 27 - 28 of this report.
Changes from our initial
2012 outlook (Cover page
from that 1/3/12 report is
to the right).
No changes, market forecasts are on track.
We added a S&P 1,600 by 2013/15 view, only
in-line with the nominal highs of 2000 and 2007,
attributable to growth stock P/E expansion + late
cycle financials participation/revaluation.
No changes, economic forecasts are on
track but mid-12 could be bumpy. Payrolls
are improving and house prices remain weak,
and fuel prices are a risk we see mid-year.
No changes in the political theater, which we
believe still favors Obama re-election via fiscal
largesse & economic recovery. Deficit closure
is gradual, as expected. Tax cut fate is a key
issue for 2013, in our view.
No changes, QE3 becoming more consensus
since we predicted it. Mid-year deflationary
shock waves or fuel prices are QE3 catalysts.
A few changes: We have a sense that
Germany’s bargaining position is weak and a
“deal” is coming, but that eurozone resolution
may not be as costly as feared due to
productivity and effective rate suppression.
Slight change. The hard asset rally in Oct-11,
weak Nov-11, strong Jan-12 etc. gives us a
sense that the seasonal Oct-May rally we
expected may be choppy, not a straight line.
Source: Stifel Nicolaus.
Page 2
Market StrategyFebruary 13, 2012
The ISM Manufacturing New Orders minus Inventories Diffusion Index
Impacts the S&P 500 Total Return
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35S&P 500 Real Annual Total Return Manuf. New Orders Index Minus Inventory Index
Left axis Right axis
Exhibit (1) The S&P 500 rise from the ~1,100 Oct-2011 low to >1,300 has simply mirrored improving
ISM orders minus inventory (red arrow). Recovery optimism and ECB actions to become a lender of
last resort were led by a rally that has closed the gap between ISM orders minus inventory(1) and the
y/y S&P 500, shown below. We look ahead to mid-2012 with a wary eye toward retail fuel prices. We
expect the S&P 500 will discount that risk in advance, hence the importance of mid-2012 vigilance.
Source: ISM, Factset.
(1) The Institute for Supply Management (ISM) orders minus inventory diffusion index measures the ability to grow orders more rapidly than inventory, which is difficult when economic growth is low.
Oct-11
We believe the S&P 500 y/y change (blue
line, left axis) has hovered around 0%
since 1998 due to the cumulative
deflationary weigh of private debt growth.
Feb-
11
Page 3
Market StrategyFebruary 13, 2012
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10-Yr. Trailing Compound Annualized Total Return (Price + Dividend) of S&P 500, Adjusted
for Inflation
1936-1974
1974-2012YTD
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2010
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Superimposed
Source: Ibbotson/Morningstar, Standard & Poor’s, and Factset prices. Note that the stock market return includes dividends. Chart format and annotations are Stifel Nicolaus & Co.
(1) The ongoing, de facto public for private debt swap is only available to the reserve currency country that can borrow at a rate below nominal GDP growth, in our view.
Exhibit (2) The similarity of returns between 1936-1974 and 1974-2012 (left chart) should not be lost
on investors. Just as 1930s deflation segued to a booming 1950s, the 1970s inflation segued to the
booming 1990s. Superimposing the two eras (right chart), we see that QE coupled with reserve
currency status(1), plus absence of a titanic struggle like the Cold War (U.S. vs. U.S.S.R.), has
allowed a better path for the S&P (Point A, right) today versus its mid-1970s corollary.
A
Page 4
Market StrategyFebruary 13, 2012
y = 173.74x + 759.1R² = 0.9174
$0T
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Regression 1960 to 2011E of S&P EPS vs. U.S. Nominal GDP
$85.9
7 S
&P
2012 E
PS
No
rmaliz
ed
$15.7T U.S. Nominal GDP 4Q12E (vs. $15.2T 3Q11A)
y = 697.43x + 1192.4R² = 0.905
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Regression 1960 to 2011E of S&P EPS vs. World Nominal GDP
$104.0
2 S
&P
2012 E
PS
No
rmaliz
ed
~$73,740T 4Q12E GlobalNominal GDP
Exhibit (3) Comparing S&P 500 EPS to U.S. and Global GDP points to international as the
potential weak spot for profits, but we think such risk is already reflected in the market P/E ratio.
Regressing U.S. nominal GDP to S&P 500 EPS produces normalized EPS of ~$86 in 2012E (left
chart), versus $104 EPS when regressing to world GDP (right chart), a large gap. We target S&P
1,400 in 2012, and 1,600 by 2013/15, expecting better domestic and weaker non-U.S. EPS offset
by rising P/E ratios as inflation remains contained and easy money offsets fiscal tightening.
Source: Standard & Poor’s, BEA, IMF and World Bank world GDP data, Stifel Nicolaus charts.
Page 5
Market StrategyFebruary 13, 2012
Source: Factset prices, U.S. BEA, U.S. BLS, Stifel Nicolaus format.
Exhibit (4) U.S. gasoline prices since March 2011 have been hovering around recession-inducing
levels and could prove disruptive to the economy and S&P by mid-2012, in our view. The “pain
threshold” appears to be ~$100/bbl./$3.25/gallon, having been breached in 1Q80, 4Q07, 1Q11 (arrows),
and, as of 1Q12, that level is being breached again. [See Appendix (A) for more on fuel issues].
$0$5$10$15$20$25$30$35$40$45$50$55$60$65$70$75$80$85$90$95$100$105$110$115$120$125$130$135$140$145
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Infl
ati
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-ad
jus
ted
WT
I, $
pe
r b
bl.
Infl
ati
on
ad
j. U
.S. A
ll G
rad
es
Re
tail G
as
olin
e P
ric
es
($
/ga
llo
n)
Inflation-adjusted U.S. Retail Gasoline vs. Refiner's Acquisition Price for Crude OiI, $ per bbl.
Spikes above $100/bbl. & $3.25/gallon exacerbate major recessions.
Inflation-adjusted U.S All Grades Retail Gasoline Prices ($ per gallon) Inflation adjusted WTI $ per bbl.
1Q 1980 4Q 2007Mar 2011
Page 6
Market StrategyFebruary 13, 2012
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P/E of the S&P 500, 5-Yr. Moving Avg. (Left)
U.S. CPI Inflation, Y/Y % Chng., 5-Yr. Moving Avg. (Right, INVERTED)
U.S. Consumer Price Inflation (Inverted, Right Axis) vs. S&P 500 P/E Ratio (Left Axis), 100 Years
An S&P 500 P/E of 16x is applicable to +3% annual inflation.
Source: U.S. BEA (or Office of Business Economics) debt data pre-1952. Federal Reserve Flow of Funds debt data 1952 and onward. Stifel Nicolaus format.
(1) Inflation erodes NPV and lowers the P/E, whereas deflation weakens EPS and raises the P/E due to a “trough” EPS effect. Thus, inflation and P/Es move inversely.
(2) Non-financial debt shown is government + business + household debt , excluding financial debt . Financial debt such as securitization double-counts debt. For example,
if a homeowner owes a mortgage (household debt) and that mortgage is securitized by an issuer, the debt is counted twice, by the homeowner and the financial issuer.
Exhibit (5) Unlike the 1960s-70 inflation and P/E decline(1), we think high but peaking U.S. debt(2)
today may help stocks. We see the over-hang of debt (left chart) being offset by loose money for
years to come, which supports stocks. The 3% inflation we expect supports a S&P P/E of 16x (right
chart, 5-yr. avg.), and a P/E of 16x ~$100 five-year average S&P EPS (by 2013/15) is S&P 1,600.
Inflation, right
axis, inverted
S&P 500 P/E,
left axis
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U.S
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Infl
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, 10
-yr.
M.A
.
U.S
. N
on
-fin
an
cia
l D
eb
t /
GD
P (
GN
P p
re-1
94
6)
Total U.S. Non-Financial Debt as a multiple of GDP (left axis) vs. U.S. Consumer Price Inflation (10-yr.
Moving Avg., right axis)
Total U.S. Non-Financial Debt / GDP, Left Axis
U.S. CPI, 10-yr. Moving Avg., Right Axis
Page 7
Market StrategyFebruary 13, 2012
Exhibit (6) Secular bear markets follow “stages” of investor sentiment, which we see as
supportive of our 1,400 in 2012 and 1,600 in 2013/14/15 S&P 500 targets. The current “Mature
Bull” stage features several 50/200dma crosses, and may segue to a “Late Bull” momentum
phase by 2013/15. That stage may be bank stock led since we view banks as late cycle(1)
beneficiaries of sentiment (at that time) that deflation has been avoided and GDP has “traction.”
Source: Stifel Nicolaus chart, Factset prices.
(1) We think credit is late cycle in a private sector de-leveraging, which is the antithesis of private sector leveraging cycles in which credit is early cycle.
600
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Multiple 50dma/200dma
crosses
Phases of a Secular Bear Market - The S&P 500 (1,312 intraday 01/30/12)
Bear MarketMature Bull
Early
Bull
Late
Bull
Bear
Market
Early
BullMature Bull
Defensive OversoldStocks
Multiple 50dma/200dma
crosses
Momentum Defensive OversoldStocks
Late Bull
Momentum
Page 8
Market StrategyFebruary 13, 2012
Source: BEA, NIPA Flow of Funds, U.S. Federal Reserve.
(1) Corporate profits are pre-tax domestic profits adjusted for inventory valuation and capital consumption.
(2) We think labor share is probably bottoming now due to competitive costs and currency, once again showing that in economics most trends are cyclical.
Exhibit (7) We believe the S&P 500 is over-earning by ~20% due to <(3)% real rates weakening the
dollar, boosting translation gains and diminishing the labor share of GDP. Business retained
earnings less capital & inventory investment is normally in deficit. But because of (3)% real rates
(thus a weak U.S.$), the Business Surplus is 500bps elevated (left chart), mirroring the U.S.
corporate margin excess of 500bps (top, right); in effect, we think the S&P 500 is over-earning by
~20% [1-(18%E margin / 23%A)] in 2012E. Not coincidentally, labor lost 500bps as a share of GDP(2)
while profits rose the same amount since dollar weakness began in 2002 (bottom, right).
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Nov-08
Dec-08
Jan-09
Feb-09
Mar-09
Apr-09
May-09
Jun-09
Jul-09
Aug-09
Sep-09
Oct-09
Nov-09
Dec-09
Jan-10
Feb-10
Mar-10
Apr-10
May-10
Jun-10
Jul-10
Aug-10
Sep-10
Oct-10
Nov-10
Dec-10
Jan-11
Feb-11
Mar-11
Apr-11
May-11
Jun-11
Jul-11
Aug-11
Sep-11
Oct-11
Nov-11
Dec-11
-4%
-3%
-2%
-1%
0%
1%
2%
3%
4%
5%
6%
7%10%
11%
12%
13%
14%
15%
16%
17%
18%
19%
20%
21%
22%
23%
1Q
1985
1Q
1986
1Q
1987
1Q
1988
1Q
1989
1Q
1990
1Q
1991
1Q
1992
1Q
1993
1Q
1994
1Q
1995
1Q
1996
1Q
1997
1Q
1998
1Q
1999
1Q
2000
1Q
2001
1Q
2002
1Q
2003
1Q
2004
1Q
2005
1Q
2006
1Q
2007
1Q
2008
1Q
2009
1Q
2010
1Q
2011
Real Fed Funds Rate, Advanced 5 Qtrs (Red, Right) vs. Corporate Profit Margins (Blue, Left)
1985 - Current
Corporate Profit Margins (Left)
Real Fed Funds Rate (Inverted, Right)
-6%
-5%
-4%
-3%
-2%
-1%
0%
1%
2%
3%
4%
5%
6%
1962
1965
1968
1971
1974
1977
1980
1983
1986
1989
1992
1995
1998
2001
2004
2007
2010
% of NominalGDP
The U.S. Business Surplus
The Business Surplus is corporate retained earnings
minus capital spending and minus inventory investment
4.0%
5.0%
6.0%
7.0%
8.0%
9.0%
10.0%
11.0%
43%
44%
45%
46%
47%
48%
49%
50%1Q
1985
1Q
1986
1Q
1987
1Q
1988
1Q
1989
1Q
1990
1Q
1991
1Q
1992
1Q
1993
1Q
1994
1Q
1995
1Q
1996
1Q
1997
1Q
1998
1Q
1999
1Q
2000
1Q
2001
1Q
2002
1Q
2003
1Q
2004
1Q
2005
1Q
2006
1Q
2007
1Q
2008
1Q
2009
1Q
2010
1Q
2011
1Q
2012
Wage & Salary Dispursements as % GDP (Red, Left) vs. Corporate Profits(1) as % GDP (Blue, Right)
1985 - Current
Wage & Salary as % of GDP (Left)
Corporate Profits as % of GDP (Right)
2002: U.S. $ devaluation begins, labor and
profits switch-off ~500bps % of GDP.
The Business Surplus is ~500bps above its long-term average,
which we attribute to margins being bloated ~500bps.
The surplus is 3.5% instead of its long-term
norm of (1.5)%, i.e., companies normally
reinvest more relative to profits.
Margins are ~500bps
excessive because real
rates are (3)% not 0%
Note:
Excludes
benefits
cost.
Page 9
Market StrategyFebruary 13, 2012
-2.0%
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
16.0%
18.0%
20.0%
22.0%
1835
1845
1855
1865
1875
1885
1895
1905
1915
1925
1935
1945
1955
1965
1975
1985
1995
2005
201…
S&P Stock Market Composite Trailing 10-Year Compound Annual Total Return (Includes Reinvested Dividends) ,
Data 1825 to December, 2011
Source: “A New Historical Database for the NYSE 1815 to 1925: Performance and Predictability,” Yale School of Management, used with permission. Post-1925 data for stocks
are Ibbotson/Morningstar and Standard & Poor’s for large-cap equity. Note that the stock market return includes dividends. Chart format and annotations are Stifel Nicolaus & Co.
Exhibit (8) It is too late for bearish epiphanies...what if S&P return mean reverts to ~10%? Some
91% of all 10-year periods for the S&P 500 total return the past 176 years were higher than the 10
years ended 2011. The S&P 500 12/31/98 of 1,229 was close to 1,257 on 12/31/11. Markets discount
the future, so we view the passage of 13 years without appreciation as discounting (of bad news).
12/31/98
S&P 500
1,229.23
Only 16 of the past 176 years had a lower 10-year rolling return than today.
12/31/11
S&P 500
1,257.60
Page 10
Market StrategyFebruary 13, 2012
0.60x
0.70x
0.80x
0.90x
1.00x
1.10x
1.20x
-0.50%
-0.25%
0.00%
0.25%
0.50%
0.75%
1.00%
1.25%
1.50%
1.75%
2.00%
2.25%
2.50%
2.75%
3.00%
3.25%
3.50%
3.75%
4.00%
4.25%
4.50%
Mar-
54
Mar-
57
Mar-
60
Mar-
63
Mar-
66
Mar-
69
Mar-
72
Mar-
75
Mar-
78
Mar-
81
Mar-
84
Mar-
87
Mar-
90
Mar-
93
Mar-
96
Mar-
99
Mar-
02
Mar-
05
Mar-
08
Mar-
11
Mar-
14
Mar-
17
Mar-
20
U.S
. Rati
on
of
35 -
49 t
o 2
0 -
34 Y
ear
Old
s
Pro
du
cti
vit
y G
row
th, Y
/Y%
, 3-y
r. m
ovin
g a
vg
.
U.S. productivity appears to track the ratio of the middle aged
to young workforce, supporting 1.5%-2.0% the next decade, in our view
Nonfarm Business Output Per Hour y/y % Change 3-Year Moving Avg. (Right axis)
U.S. Ratio of Experienced People Age 35-49 To Less Experienced People Age 20-34 (Lef t Axis)
0.55x
0.60x
0.65x
0.70x
0.75x
0.80x
0.85x
0.90x
0.95x
1.00x
1.05x
1.10x
1.15x
-2.0%
-1.0%
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
8.0%
9.0%
10.0%
11.0%
12.0%
13.0%
14.0%
15.0%
1915
1920
1925
1930
1935
1940
1945
1950
1955
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
2015E
2020E
2025E
2030E
2035E
2040E
2045E
2050E
The inflation-adjusted total return (price + dividend) of the U.S. stock market (red, left) tracks the ratio of middle aged to
young workers (blue, right)
U.S. Stock Market Inf lation-Adjusted Total Return, 20-year smoothing (Lef t axis)
Nerd/Yuppie Ratio Def ined as Age 35-49 divided by 20-34 (Right axis)
Source: Bureau of Labor Statistics (BLS), Census data, Ibbotson/Morningstar and Standard & Poor’s. Stifel Nicolaus charts.
Exhibit (9) A hidden gem supportive of ~10% U.S. equity returns may be productivity. Productivity is
output per hour worked. The benefit of high productivity is that wages may rise without inflation or
diminishment of corporate profits. Productivity follows a cyclical pattern as well as a secular trend
that tracks the ratio of 35-49 / 20-34 year olds (left chart). This demographic also moves with the
U.S. stock market (right chart). High productivity restrains job creation, but with aging societies that
is less of an issue. Note that this age ratio appears to be favorable for the U.S. to the year 2050.
Page 11
Market StrategyFebruary 13, 2012
-8.0%
-6.0%
-4.0%
-2.0%
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
14.0%
16.0%
18.0%
20.0%0x
5x
10x
15x
20x
25x
30x
35x
40x
45x 1921
1924
1927
1930
1933
1936
1939
1942
1945
1948
1951
1954
1957
1960
1963
1966
1969
1972
1975
1978
1981
1984
1987
1990
1993
1996
1999
2002
2005
2008
2011
S&
P 5
00 F
OR
WA
RD
10
-year
real
tota
l re
turn
, an
nu
ali
zed
Pri
ce to
Earn
ing
s (
P/E
) R
ati
o,
invert
ed
axis
Cyclically Adjusted Price-to-Earnings* Ratio for the S&P 500, (Left, inverted) versus Forward 10-year S&P 500 total (price + dividend) return, inflation-adjusted (right, normal scale)
1921 to present
10 Yr. Median Cyclically Adj. P/E* Ratio, left scale, INVERTED
S&P 500 10-year FORWARD annualized total (price + dividend) return, right scale
*Post-1988 Operating Earnings are used to remove upward P/E bais derived from leverage.
Source: Shiller historical data, Standard & Poor’s operating earnings data, Stifel Nicolaus format.
Exhibit (10) Another objective measure supportive of ~10% U.S. equity returns is the implicit
information content of a lower P/E. As stated in this report, U.S. EPS are (and have been)
supported since the 1990s by productivity demographics, reserve currency status and the liquidity
solution to private indebtedness. The chart below of the inverted S&P P/E ratio vs. forward S&P
500 total return (price + dividend) indicates that the forward S&P return could be double-digits.
Page 12
Market StrategyFebruary 13, 2012
Source: “A New Historical Database for the NYSE 1815 to 1925: Performance and Predictability,” Yale School of Management, used with permission. Post-1925 data for stocks are
Ibbotson/Morningstar and Standard & Poor’s for large-cap equity. Note that the stock market return includes dividends. Chart format, concept and annotations are Stifel Nicolaus & Co.
Exhibit (11) Risk-adjusted returns off past market lows supports ~10% U.S. equity (price + dividend)
returns as well. Return per unit of risk the decade after the 1920, 1938 and 1974 S&P moving
average lows was always ~0.60 (Row A), and S&P risk (st. dev.) has always averaged ~19.5% (Row
B). By knowing two of three data points, the S&P total return from 2008-18 may be calculated as
11.7% (Point C), or an annual total return of 10.7%/yr. for the remaining 2012-18 period.
1920 (low) to 1930 Avg. 12.8% 1938 (low) to 1948 Avg. 10.4% 1974 (low) to 1984 Avg. 11.8% 2008 (low) to 2018 Avg. 11.7% (C)
1920-30 Stand. Deviation 22.2% 1938-48 Stand. Deviation 17.1% 1974-84 Stand. Deviation 19.1% 2008-18E Stand. Deviation 19.5% (B)
Ret. / unit of St Dev. 0.58 Ret. / unit of St Dev. 0.61 Ret. / unit of St Dev. 0.62 Ret. / unit of St Dev. 0.60 (A)
-5.0%
-2.5%
0.0%
2.5%
5.0%
7.5%
10.0%
12.5%
15.0%
17.5%
20.0%
22.5%
19
00
19
04
19
08
19
12
19
16
19
20
19
24
19
28
19
32
19
36
19
40
19
44
19
48
19
52
19
56
19
60
19
64
19
68
19
72
19
76
19
80
19
84
19
88
19
92
19
96
20
00
20
04
20
08
S&P Stock Market Composite 10-Year Compound Annual Total Return (Including Reinvested Dividends), Data 1900 to Dec-2011
1998 10-yr. total return
19.2%
2008 10-yr. total return -1.4% through
12/31/08
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
The Large Cap U.S. Equity Total Return the 10 years before and after the 1938
bottom
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
The Large Cap U.S. Equity Total Return the 10 years before and after the 1974
bottom
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012E
2013E
2014E
2015E
2016E
2017E
2018E
The Large Cap U.S. Equity Total Return the 10 years leading up to the 2008
bottom and since 2008
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
19
10
19
11
19
12
19
13
19
14
19
15
19
16
19
17
19
18
19
19
19
20
19
21
19
22
19
23
19
24
19
25
19
26
19
27
19
28
19
29
19
30
The Large Cap U.S. Equity Total Return the 10 years before and after the 1920
bottom
Page 13
Market StrategyFebruary 13, 2012
1.50%
2.00%
2.50%
3.00%
3.50%
4.00%
4.50%
5.00%
5.50%
45.0
50.0
55.0
60.0
65.0
70.0
75.0
80.0
85.0
90.0
95.0
100.0
Jan
-07
Ap
r-07
Ju
l-07
Oct-0
7
Jan
-08
Ap
r-08
Ju
l-08
Oct-0
8
Jan
-09
Ap
r-09
Ju
l-09
Oct-0
9
Jan
-10
Ap
r-10
Ju
l-10
Oct-1
0
Jan
-11
Ap
r-11
Ju
l-11
Oct-1
1
Jan
-12
Ap
r-12
US Major and Regional Banks Relative to S&P500, Total Return (Black, Left) vs. US Constant Maturity 10-Yr
Treasury Yields (Red, Right),Jan-2007 to Present
Banks Relative to S&P500 (Left)
U.S. 10-Yr. Treasury Yield (Right)
1.5%
2.0%
2.5%
3.0%
3.5%
4.0%
4.5%
5.0%
5.5%
-150
-125
-100
-75
-50
-25
0
25
50
75
100
Ju
n-0
7
Sep
-07
Dec-0
7
Mar-0
8
Ju
n-0
8
Sep
-08
Dec-0
8
Mar-0
9
Ju
n-0
9
Sep
-09
Dec-0
9
Mar-1
0
Ju
n-1
0
Sep
-10
Dec-1
0
Mar-1
1
Ju
n-1
1
Sep
-11
Dec-1
1
Mar-1
2
Ju
n-1
2
Citigroup U.S. Economic Surprise Index (Blue, Left) vs. U.S. 10-Yr. Treasury Yield (Red, Right)
10-Yr. Treasury Yield
Citigroup USESI Leveling in 2012
Source: Factset, Bloomberg, Stifel Nicolaus format.
Exhibit (12) U.S. bank stocks are bottoming, in our view, but may be more a 2H12/2013 story,
along with 10-year Treasury yields rising to ~2.50%-2.75% in 2012/13E, especially if QE3
ensues. We see U.S. economic releases dispelling investor deflation concerns, thereby
lifting 10-year yields to 2.50%-2.75% by 2012/13 (left chart). We then see U.S. bank stocks as
a late-cycle trade, in tandem with bottoming 10-year yields (right chart), beating the S&P in
2012 by ~10%. Since credit is late cycle in a private sector de-leveraging (credit was early
cycle in private leveraging), bank stocks may put in the S&P 500 top in 2013+, in our view.
X X2.50% -
2.75%
(10 Yr.
2012/13E)
Page 14
Market StrategyFebruary 13, 2012
Source: Dow Jones, Morningstar/Ibbotson Associates, Russell 2000 Factset total return, U.S. Census, CBOE, Stifel Nicolaus format.
(1) CBOE S&P 500 Implied Correlation compares S&P500 index anticipated option volatility with the aggregate volatilities of its constituents. The volatility of the index is
affected by two items: the expected volatility of each underlying stock, as well as the implied correlation between those stocks. By comparing options pricing of the S&P500
with its underlying securities, the CBOE isolates the second component, implied correlation.
Exhibit (13) We see small cap edging out the S&P 500 in 1Q12, but thereafter it is less clear. During
secular bear markets (left), small cap can win during deflation (1929-49, 2000-) by avoiding deflating
“bubble” sectors, whereas small cap leads during inflation (1966-82) by being more flexible and
domestic. Given that small cap has become a proxy for risk, and we still believe this is a secular
bear market, the falling implied correlation(1) we see in 1Q12 may result in “risk on” small caps
edging out large cap (right charts), albeit in a precarious head-and-shoulders pattern (top, right).
90
95
100
105
110
115
120
125
2007 2008 2009 2010 2011 2012
Russell 2000 Index relative to the S&P 500
Up 1Q12moderately
40
45
50
55
60
65
70
75
80
85
90
2007 2008 2009 2010 2011 2012
CBOE S&P 500 Implied Correlation Index
CorrelationDown
1
10
100
1,000
10,000
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
19
26
19
30
19
34
19
38
19
42
19
46
19
50
19
54
19
58
19
62
19
66
19
70
19
74
19
78
19
82
19
86
19
90
19
94
19
98
20
02
20
06
20
10
S&
P 5
00
(a
nd
Pre
de
ce
ss
or)
In
de
x
Sm
all C
ap
min
us
La
rge
Ca
p T
ota
l R
etu
rn
Small Cap Total Return Minus Large Cap Total ReturnSmall Cap Often Leads in Secular Bear Markets
Small Cap minus Large Cap Total Return S&P 500 Index (and predecessors)
1930s to 1940s
1970s
2000s
Page 15
Market StrategyFebruary 13, 2012
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Ja
n-9
4
Ja
n-9
5
Ja
n-9
6
Ja
n-9
7
Ja
n-9
8
Ja
n-9
9
Ja
n-0
0
Ja
n-0
1
Ja
n-0
2
Ja
n-0
3
Ja
n-0
4
Ja
n-0
5
Ja
n-0
6
Ja
n-0
7
Ja
n-0
8
Ja
n-0
9
Ja
n-1
0
Ja
n-1
1
Ja
n-1
2
Pu
rch
ases a
s a
% o
f T
ota
l, L
TM
Net Purchases of Domestic Securities by ForeignOfficial Institutions & Private Investors
U.S. Equity Purchased as % of Total (LTM Totals, Blue Line)
U.S. Corporate Bonds Purchased as % of Total (LTM Totals, Green Line)
Long-Term U.S. Treasuries Purchased as % of Total (LTM Totals, Red Line)Source: U.S. Treasury
International Capital (TIC) system
(1) There is precedent for weakness overseas, domestic GDP traction, a break-down of economic synchronization, capital flows to the U.S., a surging U.S. $, rising U.S.
growth stocks with P/E expansion, Europe struggling to create a currency union and cheaper fuel for U.S. cars - it was the late 1990s, and we are on alert for that possibility.
Exhibit (14) Is the ground forming for a “mini” 2H 1990s growth stock boom(1) this decade? To
escape deflation the U.S. dollar was debased after 2008, spiking commodity prices. Surplus
countries (China, Germany) and commodity producers overheated and tightened in response to
inflation. Now, the U.S. may gain traction, attracting foreign buying of U.S. equities concurrent
with reduced purchases of U.S. government debt, shown below, resulting in a “good form” of
dollar appreciation. We would expect this to favor P/E expansion “growth stocks” in much the
way the Mexican Debt Crisis of Dec-1994 foreshadowed the NASDAQ boom of 1995-2000.
EM Debt Crisis / U.S. Tech Bubble
Strong U.S. dollar, weak commodities
Euro Crisis/ China
Slows, U.S.$ up,
commodities down
Page 16
Market StrategyFebruary 13, 2012
Source: Factset prices, Stifel Nicolaus analysis.
Exhibit (15) Stifel Macro: Q1 Outperform Industries and covering Stifel analysts - Conforming
to our macro-views, or with significant seasonal, valuation, momentum and cyclical factors
considered (Alphabetical).
Continued next page
FactSet
Stifel Coverage Analyst Total Return
Industry Analyst E-mail Closest FactSet Index As of 12/31/2011
Business Services Shlomo Rosenbaum [email protected] Misc. Commerical Services 1,434.71
Energy: International Oil & Gas David Dudlyke [email protected] Oil & Gas Production 756.95
Energy: Oil & Gas Exploration & Production
Kurt Molnar, Michael Zuk,
Michael Scialla & Amir
Arif
[email protected], [email protected]
Oil & Gas Production 756.95
Finance: Asset Management/Investment ServicesJ. Jeffrey Hopson [email protected] Investment Managers 7,188.74
Finance: Market Structure Chris Brendler [email protected] Investment Banks/Brokers 1,291.85
Finance: Non-Bank Financials Chris Brendler [email protected] Finance/Rental/Leasing 2,236.04
Food & Beverages: BeveragesMark Swartzberg & Mark
S. Astrachan
[email protected]: Non-Alcoholic 4,249.57
Health Care: Biotechnology Stephen Willey [email protected] Biotechnology 3,929.25
Health Care: Pharmaceuticals: Specialty Annabel Samimy [email protected] Pharmaceuticals: Other 1,570.19
Household & Personal Products Mark S. Astrachan [email protected] Household/Personal Care 3,299.86
I.T.: Applied Technologies Ajit Pai [email protected]
Equipment/Instruments435.62
I.T.: Communications Equipment Sanjiv Wadhwani [email protected]
Equipment913.34
I.T.: Data Centers/Hosting Todd C. Weller [email protected] Internet Software & Services 416.26
I.T.: Internet ServicesGeorge I. Askew &
Jordan Rohan
[email protected]. Services 1,927.54
I.T.: Semiconductors: Analog & Mixed Signal Tore Svanberg [email protected] Semiconductors 1,545.71
I.T.: Semiconductors: Processors and ComponentsKeven Cassidy [email protected] Semiconductors 1,545.71
I.T.: Semis: Semiconductor Capital Equipment Patrick J. Ho [email protected] Production
Equipment648.40
I.T.: Software & Internet Infrastructure Todd C. Weller [email protected] Internet Software & Services 416.26
Page 17
Market StrategyFebruary 13, 2012
Source: Factset prices, Stifel Nicolaus analysis.
Exhibit (15) Continued - Stifel Macro: Q1 Outperform Industries and covering Stifel analysts -
Conforming to our macro-views, or with significant seasonal, valuation, momentum and
cyclical factors considered (Alphabetical). This list is unchanged from our 1/3/12 report here.
Continued from prior page
FactSet
Stifel Coverage Analyst Total Return
Industry Analyst E-mail Closest FactSet Index As of 12/31/2011
I.T.: Software: ApplicationsBlair Abernethy & Tom
Roderick
[email protected] Software 6,647.40
I.T.: Software: Infrastructure Tim Klasell [email protected] Packaged Software 6,647.40
I.T.: Telecom and Cable Services Christopher C. King [email protected] Major Telecommunications 1,253.97
I.T.: Telecom Services Blair Abernethy [email protected] Major Telecommunications 1,253.97
Infrastructure: Building Products John A. Baugh [email protected] Construction Materials 287.00
Infrastructure: Electrical & DiversifiedJeffrey L. Beach & Noelle
[email protected], [email protected] Electrical Products 1,066.87
Infrastructure: Engineering & Construction Robert Connors [email protected] Engineering & Construction 51.07
Insurance: Specialty Insurers Meyer Shields [email protected] Specialty Insurance 2,294.51
Media & EntertainmentBenjamin Mogil & Drew
E. Crum
[email protected] Conglomerates 1,720.20
Metals: Base Metals
Paul Forward, George
Topping & Paul A.
Massoud
Other Metals/Minerals 7,034.55
Metals: Iron Ore Paul A. Massoud [email protected] Steel 520.46
Retail: Auto Dealers James J. Albertine [email protected] Specialty Stores 3,881.32
Retail: Hardlines David A. Schick [email protected] Electronics/Appliances Stores 381.44
Retail: Softlines Richard E. Jaffe [email protected] Apparel/Footwear Retail 2,599.78
Sports & Lifestyle Brands Jim Duffy [email protected] Apparel/Footwear 2,405.38
Transports: Barge John G. Larkin [email protected] Marine Shipping 2,075.72
Transports: Rail John G. Larkin [email protected] Railroads 8,801.15
Transports: Trucking/LogisticsDavid G. Ross & John G.
[email protected], [email protected] Trucking 727.76
Page 18
Market StrategyFebruary 13, 2012
Source: Factset prices, Stifel Nicolaus analysis.
Exhibit (16) - Stifel Macro: Q1 Market Perform Industries and covering Stifel analysts - Conforming
to our macro-views, or with significant seasonal, valuation, momentum and cyclical factors
considered (Alphabetical). This list is unchanged from our 1/3/12 report here.
Continued next page
FactSet
Stifel Coverage Analyst Total Return
Industry Analyst E-mail Closest FactSet Index As of 12/31/2011
Education & e-Learning R. Craig & J. [email protected],
[email protected] Consumer Services 29,125.81
Energy: Cleantech Jeff Osborne josborne@sti fel .com Alternative Power Generation 526.69
Energy: Coal Mining Paul Forward [email protected] Coal 1,052.61
Energy: Oilfield Services & EquipmentLara King, Kurt Molnar &
Robert Connors
Oilfield Services/Equipment 1,221.26
Energy: Utilities & Energy InfrastructureSelman Akyol & Justin
Kinney
[email protected] & Gas Pipelines 1,192.57
Finance: Banks - Community & Conversions Collyn Bement Gilbert [email protected] Savings Banks 5,120.41
Finance: Banks - Large Cap Christopher M. Mutascio [email protected] Major banks 887.76
Finance: Banks - Mid Atlantic P. Carter Bundy [email protected] Regional Banks 1,301.28
Finance: Banks - Mid CapAnthony R. Davis &
Stephen [email protected] Regional Banks 1,301.28
Finance: Banks - Midwest Stephen Geyen [email protected] Regional Banks 1,301.28
Finance: Banks - Northeast Collyn Bement Gilbert [email protected] Regional Banks 1,301.28
Finance: Banks - Southeast/Southwest David J. Bishop [email protected] Regional Banks 1,301.28
Finance: Banks - West David J. Bishop [email protected] Regional Banks 1,301.28
Finance: Closed-End Funds Alexander Reiss [email protected] Investment Managers 7,188.74
Finance: Non-Bank Consumer Finance Chris Brendler [email protected] Data Processing Services 5,254.99
Finance: Specialty Finance G. Mason & T. [email protected],
[email protected]/Rental/Leasing 2,236.04
Food & Beverages: Food Christopher Growe [email protected] Food: Major Diversified 2,738.57
Health Care: Medical Devices Thomas Kouchoukos kouchoukost@sti fel .com Medical Specialties 1,939.51
Health Care: Real Estate Daniel Bernstein bernsted@sti fel .com Real Estate Investment Trusts 834.84
Page 19
Market StrategyFebruary 13, 2012
Source: Factset prices, Stifel Nicolaus analysis.
Exhibit (16) Continued - Q1 Market Perform Industries and covering Stifel analysts (continued…) -
Conforming to our macro-views, or with significant seasonal, valuation, momentum and cyclical
factors considered (Alphabetical). This list is unchanged from our 1/3/12 report here.
Continued from prior page
FactSet
Stifel Coverage Analyst Total Return
Industry Analyst E-mail Closest FactSet Index As of 12/31/2011
Health Care: Services Thomas A. Carroll [email protected] Managed Health Care 8,852.66
Home Furnishings John A. Baugh [email protected] Home Furnishings 1,000.26
Homebuilding Michael R. Widner [email protected] Home Building 186.99
I.T.: Electronic Supply Chain Matthew Sheerin [email protected] Electronic Components 397.00
I.T.: Enterprise Hardware/Software & Hard DrivesAaron C. Rakers [email protected] Computer Peripherals 1,297.42
I.T.: Government IT Services William R. Loomis [email protected] I.T. Services 1,927.54
Insurance: Insurance Brokers Meyer Shields [email protected] Insurance Brokers/Services 1,326.07
Insurance: Property/Casualty Meyer Shields mshields@sti fel .com Property/Casuality Insurance 2,560.05
Insurance: Standard Insurers Meyer Shields [email protected] Property/Casuality Insurance 2,560.05
Lodging Rod Petrik [email protected] Hotels/Resorts/Cruiselines 119.12
Metals: Gold & Precious MetalsGeorge Topping, Josh
Wolfson & Craig Stanley
Precious Metals 91.45
REITs: Apartments Rod Petrik [email protected] Real Estate Investment Trusts 834.84
REITs: Diversified Joshua A. Barber [email protected] Real Estate Investment Trusts 834.84
REITs: Industrial John W. Guinee [email protected] Real Estate Investment Trusts 834.84
REITs: Office John W. Guinee [email protected] Real Estate Investment Trusts 834.84
REITs: RetailNathan Isbee & Joshua A.
[email protected], [email protected] Real Estate Investment Trusts 834.84
REITs: Self-Storage Rod Petrik [email protected] Real Estate Investment Trusts 834.84
REITs: Timber Joshua A. Barber [email protected] Real Estate Investment Trusts 834.84
Transports: Airfreight/Logistics David G. Ross [email protected] Air Freight/Couriers 1,086.86
Page 20
Market StrategyFebruary 13, 2012
Source: Factset prices, Stifel Nicolaus analysis.
Exhibit (17) - Stifel Macro: Q1 Underperform Industries and covering Stifel analysts -
Conforming to our macro-views, or with significant seasonal, valuation, momentum and
cyclical factors considered (Alphabetical). This list is unchanged from our 1/3/12 report here.
FactSet
Stifel Coverage Analyst Total Return
Industry Analyst E-mail Closest FactSet Index As of 12/31/2011
Aerospace & Defence: Specialty Def. & Homeland Sec. Stephen E. Levenson [email protected] Aerospace & Defense 1,595.99
Aerospace & Defense: Commercial & Military TBD TBD Aerospace & Defense 1,595.99
Finance: Mortgage Finance Michael R. Widner [email protected] Real Estate Investment Trusts 834.84
Food & Beverages: Tobacco Christopher Growe [email protected] Tobacco 33,594.00
Gaming & Leisure Steven Wieczynski [email protected] Casinos/Gaming 1,295.00
Health Care : Providers Daniel Bernstein bernsted@sti fel .com Medical/Nursing Services 97.44
Health Care: Information Technology TBD TBD Services to the Health Industry 804.83
Health Care: Pharmaceutical Services TBD TBD Medical Distributors 2,118.89
I.T.: Information & Financial Technology Services David Grossman [email protected] Information Technology Services 1,927.54
REITs: Commercial Finance Joshua A. Barber [email protected] Real Estate Investment Trusts 834.84
Senior Housing Daniel Bernstein bernsted@sti fel .com Hospital/Nursing Management 113.26
Page 21
Market StrategyFebruary 13, 2012
Appendix (A)
The mid-2012 fuel squeeze
Page 22
Market StrategyFebruary 13, 2012
-6.0%
-5.0%
-4.0%
-3.0%
-2.0%
-1.0%
0.0%
1.0%
2.0%
3.0%
4.0%
5.0%
6.0%
7.0%
8.0%
9.0%
10.0%
$0.00
$0.50
$1.00
$1.50
$2.00
$2.50
$3.00
$3.50
$4.00
$4.50
Jan-7
3
Jan-7
5
Jan-7
7
Jan-7
9
Jan-8
1
Jan-8
3
Jan-8
5
Jan-8
7
Jan-8
9
Jan-9
1
Jan-9
3
Jan-9
5
Jan-9
7
Jan-9
9
Jan-0
1
Jan-0
3
Jan-0
5
Jan-0
7
Jan-0
9
Jan-1
1
Inflation-Adjusted U.S. Gasoline Retail Price ($/gallon, left axis, solid area)vs. y/y U.S. Real GDP converted to monthly (line, right axis)
Fuel shocks (not level, but rather spikes) as catalysts for negative y/y GDP
Inflation- adjusted Retail Gasoline $/Gallon (Left Axis) U.S. Real GDP Monthly y/y % chng. (Right axis)
We suppose there are those who still believe fuel price spikes do not affect U.S. GDP. But
40 years of data support the notion that U.S. consumers recoil at gasoline price spikes,
and one may be in the offing in mid-2012, in our view, unless overseas demand slows.
Source: Bloomberg, EIA, Stifel Nicolaus format.
Page 23
Market StrategyFebruary 13, 2012
Source: Bloomberg, EIA, Stifel Nicolaus format.
* We use heating oil (HO1) as a proxy for diesel fuel.
0.00
0.10
0.20
0.30
0.40
0.50
0.60
Jan-0
0
Jan-0
1
Jan-0
2
Jan-0
3
Jan-0
4
Jan-0
5
Jan-0
6
Jan-0
7
Jan-0
8
Jan-0
9
Jan-1
0
Jan-1
1
Jan-1
2
Jan-1
3
Gross US Distillate Fuel Oil (DFO, mostly diesel)
exports by destination,mil. bbl/d
Central & S. America Europe Other
$0
$5
$10
$15
$20
$25
$30
$35
$40
$45
0.00
0.20
0.40
0.60
0.80
1.00
1.20
Jan-0
0
Jan-0
1
Jan-0
2
Jan-0
3
Jan-0
4
Jan-0
5
Jan-0
6
Jan-0
7
Jan-0
8
Jan-0
9
Jan-1
0
Jan-1
1
Jan-1
2
Jan-1
3
Gross US Distillate Fuel Oil (DFO, mostly diesel)
exports, (mil. bbl/d, LS)vs. HO1-WTI* crack spread ($ per bbl, RS)
and HO1-Brent* crack spread ($ per bbl, RS)
DFO Total Exports HO1 crack spread $ per bbl Brent-HO1 Crack Spread
U.S. exports of distillate fuel oil (DFO) have soared, lifting refinery pricing power and forcing
U.S. drivers to compete aggressively with the rest of the world. The increase in U.S. DFO
exports has lifted crack spreads (a measure of refinery profitability) sharply since the Great
Recession began (left chart). The export destinations (right chart) are the EU, where oil is so
heavily taxed that demand is less price elastic, and South America, where refineries are not
configured for demand and South American buying power (currencies) are elevated due to
the China currency peg and fixed investment bubble.
Page 24
Market StrategyFebruary 13, 2012
Source: Bloomberg, EIA, Stifel Nicolaus format.
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
Jan-0
0
Aug-0
0
Mar-
01
Oct-
01
May-0
2
Dec-0
2
Jul-03
Feb-0
4
Sep-0
4
Apr-
05
Nov-0
5
Jun-0
6
Jan-0
7
Aug-0
7
Mar-
08
Oct-
08
May-0
9
Dec-0
9
Jul-10
Feb-1
1
Sep-1
1
U.S. East coast refining percentage of blending components relative to other U.S. areas, which
tend to process mostly crude oil
PADD 1 (U.S. East Coast) Other PADD Districts
-$5.00
$0.00
$5.00
$10.00
$15.00
$20.00
$25.00
$30.00
Jan-0
0
Aug-0
0
Mar-
01
Oct-
01
May-0
2
Dec-0
2
Jul-03
Feb-0
4
Sep-0
4
Apr-
05
Nov-0
5
Jun-0
6
Jan-0
7
Aug-0
7
Mar-
08
Oct-
08
May-0
9
Dec-0
9
Jul-10
Feb-1
1
Sep-1
1
Brent minus WTI, $ per bbl
Brent minus WTI, $ per bbl
The situation is particularly difficult for U.S. drivers supplied by East Coast refineries.
Because of overseas demand and the lingering effect of the Libyan Civil War the spread
between European Brent crude oil and U.S. WTI oil (left chart) is wide, forcing the less
competitive refining capacity (U.S. East Coast and Europe, i.e., Petroplus and Sunoco) out
of the market (right chart), thereby tightening U.S. fuel prices for many U.S. consumers.
Page 25
Market StrategyFebruary 13, 2012
Source: EAI, IEA, Stifel Nicolaus format.
Though global refinery throughput/utilization rates have improved since their depths in 2009 (left
chart), middle distillate stockpiles continue to decline (right chart). Because the eurozone and
China are several years behind the U.S. rebalancing (our view is the U.S. in 1H12, the eurozone in
1H09 and China in 1H08, temporally speaking), our expectation is that their impending slowdown
will weaken fuel demand and provide relief for U.S. consumers, which is an issue we monitor.
-20%
-15%
-10%
-5%
0%
5%
10%
15%
20%
25%
Feb-1
995
Dec-1
995
Oct-
1996
Aug-1
997
Jun-1
998
Apr-
1999
Feb-2
000
Dec-2
000
Oct-
2001
Aug-2
002
Jun-2
003
Apr-
2004
Feb-2
005
Dec-2
005
Oct-
2006
Aug-2
007
Jun-2
008
Apr-
2009
Feb-2
010
Dec-2
010
Oct-
2011
OECD middle distillate stocks, y/y %
70
71
72
73
74
75
76
77
Jan-2
007
Apr-
2007
Jul-2007
Oct-
2007
Jan-2
008
Apr-
2008
Jul-2008
Oct-
2008
Jan-2
009
Apr-
2009
Jul-2009
Oct-
2009
Jan-2
010
Apr-
2010
Jul-2010
Oct-
2010
Jan-2
011
Apr-
2011
Jul-2011
Oct-
2011
Global Refinery Throughputs, mil bbl/d
Page 26
Market StrategyFebruary 13, 2012
Important Disclosures and Certifications
I, Barry B. Bannister, certify that the views expressed in this research report accurately reflect my personal viewsabout the subject securities or issuers; and I, Barry B. Bannister, certify that no part of my compensation was, is, orwill be directly or indirectly related to the specific recommendation or views contained in this research report. Forour European Conflicts Management Policy go to the research page at www.stifel.com.
Stifel, Nicolaus & Company, Inc.'s research analysts receive compensation that is based upon (among other factors) StifelNicolaus' overall investment banking revenues.
Our investment rating system is three tiered, defined as follows:
BUY -For U.S. securities we expect the stock to outperform the S&P 500 by more than 10% over the next 12 months. ForCanadian securities we expect the stock to outperform the S&P/TSX Composite Index by more than 10% over the next 12months. For other non-U.S. securities we expect the stock to outperform the MSCI World Index by more than 10% over thenext 12 months. For yield-sensitive securities, we expect a total return in excess of 12% over the next 12 months for U.S.securities as compared to the S&P 500, for Canadian securities as compared to the S&P/TSX Composite Index, and for othernon-U.S. securities as compared to the MSCI World Index.
HOLD -For U.S. securities we expect the stock to perform within 10% (plus or minus) of the S&P 500 over the next 12months. For Canadian securities we expect the stock to perform within 10% (plus or minus) of the S&P/TSX CompositeIndex. For other non-U.S. securities we expect the stock to perform within 10% (plus or minus) of the MSCI World Index. AHold rating is also used for yield-sensitive securities where we are comfortable with the safety of the dividend, but believe thatupside in the share price is limited.
SELL -For U.S. securities we expect the stock to underperform the S&P 500 by more than 10% over the next 12 months andbelieve the stock could decline in value. For Canadian securities we expect the stock to underperform the S&P/TSXComposite Index by more than 10% over the next 12 months and believe the stock could decline in value. For other non-U.S.securities we expect the stock to underperform the MSCI World Index by more than 10% over the next 12 months andbelieve the stock could decline in value.
Of the securities we rate, 51% are rated Buy, 47% are rated Hold, and 2% are rated Sell.
Within the last 12 months, Stifel, Nicolaus & Company, Inc. or an affiliate has provided investment banking services for 17%,10% and 0% of the companies whose shares are rated Buy, Hold and Sell, respectively.
Additional Disclosures
Please visit the Research Page at www.stifel.com for the current research disclosures applicable to the companiesmentioned in this publication that are within Stifel Nicolaus' coverage universe. For a discussion of risks to target price pleasesee our stand-alone company reports and notes for all Buy-rated stocks.
The information contained herein has been prepared from sources believed to be reliable but is not guaranteed by us and isnot a complete summary or statement of all available data, nor is it considered an offer to buy or sell any securities referred toherein. Opinions expressed are subject to change without notice and do not take into account the particular investmentobjectives, financial situation or needs of individual investors. Employees of Stifel, Nicolaus & Company, Inc. or its affiliatesmay, at times, release written or oral commentary, technical analysis or trading strategies that differ from the opinionsexpressed within. Past performance should not and cannot be viewed as an indicator of future performance.
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These materials have been approved by Stifel Nicolaus Europe Limited, authorized and regulated by the Financial ServicesAuthority (UK), in connection with its distribution to professional clients and eligible counterparties in the European EconomicArea. (Stifel Nicolaus Europe Limited home office: London +44 20 7557 6030.) No investments or services mentioned areavailable in the European Economic Area to retail clients or to anyone in Canada other than a Designated Institution. Thisinvestment research report is classified as objective for the purposes of the FSA rules. Please contact a Stifel Nicolaus entityin your jurisdiction if you require additional information.
Page 27
Market StrategyFebruary 13, 2012
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Page 28
Market StrategyFebruary 13, 2012