Back to the Future Part II - FAMA...Back to the Future Part II On Behalf of FEMSA/FAMA Raging&Bull&...

37
By: Anirban Basu Sage Policy Group, Inc. October 2 nd , 2014 Back to the Future Part II On Behalf of FEMSA/FAMA

Transcript of Back to the Future Part II - FAMA...Back to the Future Part II On Behalf of FEMSA/FAMA Raging&Bull&...

Page 1: Back to the Future Part II - FAMA...Back to the Future Part II On Behalf of FEMSA/FAMA Raging&Bull& (1980)& Es2mated&Growth&in&Output&by&Select&Global&Areas& 2014%Projected* 2.4% 1.3%

By: Anirban Basu Sage Policy Group, Inc.

October 2nd, 2014

Back to the Future Part II

On Behalf of

FEMSA/FAMA

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Raging  Bull  (1980)  

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Es2mated  Growth  in  Output  by  Select  Global  Areas  2014  Projected*  

2.4% 1.3%

2.0% 3.1%

5.4% 7.4%

6.4% 0.2%

2.8% 5.4%

4.7% 1.7%

2.2% 3.2%

1.6% 1.2%

0.3% 1.9%

0.7% 1.1%

1.8%

0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% 7.0% 8.0% Mexico

Brazil Latin America and Caribbean

Middle East, North Africa, Afghanistan, & Pakistan India** China

Developing Asia Russia

Central/eastern Europe Sub-Saharan Africa

Emerging/developing countries United States

Canada United Kingdom

Japan Spain

Italy Germany

France Euro area

Advanced economies

Annual % Change Source: International Monetary Fund, July 2014 WEO Update

*The IMF’s global and regional growth figures for 2014 are based on new purchasing power parity (PPP) weights derived from the recently released 2011 International Comparison Program survey (see box) and are not comparable to the 2013 figures reported in the April 2014 WEO **For India, data and forecasts are presented on a fiscal year basis and output growth is based on GDP at market prices. Corresponding growth forecasts for GDP at factor cost are 5.4 percent for 2014.

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Debt  by  Selected  Country  2013  Es2mates*  

0.0   50.0   100.0   150.0   200.0   250.0  

Saudi  Arabia  Russia  China  

Indonesia  South  Africa  

Mexico  Argentina  

Brazil  India  

Germany  Canada  

United  Kingdom  France  Spain  

United  States  Italy  Japan  

General  Government  Gross  Debt  in  Percent  of  GDP  

*IMF Staff Estimates

Source: International Monetary Fund, April 2014 WEO

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Rank Exchange Index % Change

4 Tokyo SE Nikkei 225 56.7% 2 Nasdaq NASDAQ Composite 38.3% 1 NYSE Group DJI A 26.5% 6 Frankfurt SE DAX 25.5% 8 Bolsa De Madrid Madrid General 21.4%

12 Swiss Exchange Swiss Market 20.2% 5 Euronext CAC 40 18.0%

10 BorsaItaliana FTSE MIB 16.6% 3 London SE FTSE 100 12.0% 9 TSX Group S&P TSX Composite 9.6% 11 Hong Kong Exchanges Hang Seng Index 2.9% 7 Shanghai SE Shanghai Composite -6.8%

Top 12 Stock Exchanges 2013 Growth*

Source: Yahoo! Finance

*Change  from  the  2012  close  to  the  2013  close.  

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S&P  Select  Sector  Performance  12-­‐Month  Percent  Change  as  of  September  26,  2014  

Source: Standard & Poor’s

0%   5%   10%   15%   20%   25%   30%  

Telecommunication  Services    

Energy  

Consumer  Discretionary  

Utilities  

Consumer  Staples  

Industrials  

Financials  

Materials  

Information  Technology  

Health  Care  

6.0%  

9.8%  

10.9%  

11.0%  

11.5%  

13.3%  

15.7%  

18.0%  

25.5%  

27.0%  

12-­‐month  percent  change  

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Federal Reserve Balance Sheet v. S&P 500 Index May 2008 – September 2014*

Source: Federal Reserve Bank; Yahoo Finance

S&P 500 index depicted in orange

500  

700  

900  

1100  

1300  

1500  

1700  

1900  

2100  

0.8  

1.3  

1.8  

2.3  

2.8  

3.3  

3.8  

4.3  

4.8  

May-­‐08  

Jul-­‐08

 Se

p-­‐08

 Nov

-­‐08  

Jan-­‐09

 Mar-­‐09  

May-­‐09  

Jul-­‐09

 Se

p-­‐09

 Nov

-­‐09  

Jan-­‐10  

Mar-­‐10  

May-­‐10  

Jul-­‐10  

Sep-­‐10  

Nov

-­‐10  

Jan-­‐11  

Mar-­‐11  

May-­‐11  

Jul-­‐11  

Sep-­‐11  

Nov

-­‐11  

Jan-­‐12  

Mar-­‐12  

May-­‐12  

Jul-­‐12  

Sep-­‐12  

Nov

-­‐12  

Jan-­‐13  

Mar-­‐13  

May-­‐13  

Jul-­‐13  

Sep-­‐13  

Nov

-­‐13  

Jan-­‐14  

Mar-­‐14  

May-­‐14  

Jul-­‐14  

Sep-­‐14  

S&P  500  FRB  Credit  Reserve  $Trillions  

*Through  9/24/2014  

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Second  Quarter  Earnings  for  Select  Corpora2ons  Earnings  per  Share    

Symbol   Q2  2013     Q2  2014  Estimated    

Q2  2014  Reported     Surprise   Symbol   Q2  2013     Q2  2014  

Estimated    Q2  2014  Reported    Surprise  

CMG   $2.82   $3.09   $3.50   $0.41   BTU   $0.33   -­‐$0.29   -­‐$0.28   $0.01  COF   $1.87   $1.82   $2.04   $0.22   DD   $1.28   $1.17   $1.17   $0.00  UTX   $1.70   $1.71   $1.84   $0.13   GE   $0.36   $0.39   $0.39   $0.00  FCX   $0.22   $0.51   $0.58   $0.07   MMM   $1.71   $1.91   $1.91   $0.00  COH   $0.89   $0.53   $0.59   $0.06   AMD   -­‐$0.09   $0.03   $0.02   -­‐$0.01  TXN   $0.58   $0.59   $0.62   $0.03   YHOO   $0.35   $0.38   $0.37   -­‐$0.01  DOW   $0.64   $0.72   $0.74   $0.02   STI   $0.68   $0.76   $0.72   -­‐$0.04  HON   $1.28   $1.36   $1.38   $0.02   UPS   $1.13   $1.25   $1.21   -­‐$0.04  VFC   $0.32   $0.35   $0.36   $0.01   MCD   $1.38   $1.44   $1.40   -­‐$0.04  XRX   $0.27   $0.26   $0.27   $0.01   MSFT   $0.66   $0.60   $0.55   -­‐$0.05  VZ   $0.73   $0.90   $0.91   $0.01   CAT   $1.45   $1.53   $1.69   -­‐$0.16  

Source: Yahoo! Finance

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Jobs  -­‐0.7%  

Incomes  2.7%  

Profits  49.2%  

Housing  -­‐10.5%  

Stocks  25.9%  

-­‐60%  

-­‐40%  

-­‐20%  

0%  

20%  

40%  

60%  

2008   2009   2010   2011   2012   2013  

Percen

t  cha

nge  sinc

e  en

d  of  200

7  

Top Gun (1986) Profits out of the Danger Zone

Source: BEA, BLS, S&P Case-Shiller, Yahoo! Finance

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         The  Golden  Child  (1986)  Highest  Earning  Hedge  Fund  Managers,  2013    

Source: Forbes

Manager   Hedge  Fund  Firm   2013  Earnings   Net  Return  

George  Soros   Soros  Fund  Management   $4  billion   22%  

David  Tepper   Appaloosa  Management   $3.5  billion   42%  

Steve  Cohen   SAC  Capital  Advisors   $2.3  billion   19%  

John  Paulson   Paulson  Enhanced   $1.9  billion   26%  

Carl  Icahn   Icahn  Enterprises   $1.7  billion   31%  

James  Simons   Renaissance  Technologies   $1.1  billion   18%  

Ray  Dalio   Bridgewater  Associates   $900  million   5.25%  

Ken  Griffin   Citadel   $900  million   19.25%  

Larry  Robbins   Glenview  Capital   $750  million     43%  

Leon  Cooperman   Omega   $730  million   25%  

2013    S&P  500:  +29.6%  

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         Airplane!  (1980)  David  Tepper’s  Move  against  the  Market    

Source: Forbes, Bloomberg

2013    Appaloosa  Management:  +$3.5  billion  (42%)  

“Our  big  play  versus  the  market  is  airlines.  That’s  a  big  play.  We’re  the  biggest  holder  of  all  these  different  airlines.  No  hedge  fund  owned  as  many  airlines  as  we  did  and  not  too  many  people  did.  Delta,  UAL,  LCC,  US  Air,  AMR.  We  owned  big  percentages  in  all  those  stocks.  And  you  know  what,  they  did  pretty  good…  pretty  freaking  good.”    -­‐David  Tepper    

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Source: U.S. Bureau of Labor Statistics

Median  Weekly  Earnings,  Full-­‐Time  U.S.  Workers*  2000Q2  through  2014Q2  

*SA,  Constant  1982-­‐1984  dollars  (adjusted  to  CPI-­‐U)  Wage  and  salary  workers  ages  16+  

$320  

$325  

$330  

$335  

$340  

$345  

$350  

2000

Q2  

2000

Q4  

2001Q2  

2001Q4  

2002

Q2  

2002

Q4  

2003

Q2  

2003

Q4  

2004

Q2  

2004

Q4  

2005

Q2  

2005

Q4  

2006

Q2  

2006

Q4  

2007

Q2  

2007

Q4  

2008

Q2  

2008

Q4  

2009

Q2  

2009

Q4  

2010Q2  

2010Q4  

2011Q

2  20

11Q4  

2012Q2  

2012Q4  

2013Q2  

2013Q4  

2014Q2  

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Source: Moody’s Economy

Recession  Watch  as  of  July  2014  

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Industrial  Produc2on  January  2001  through  August  2014  

Source: Federal Reserve

The  industrial  production  index  measures  the  real  output  of  the  manufacturing,  mining,  and  electric  and  gas  utilities  industries.  

80  

85  

90  

95  

100  

105  

Jan-­‐01  

Jul-­‐01  

Jan-­‐02

 

Jul-­‐02

 

Jan-­‐03

 

Jul-­‐03

 

Jan-­‐04

 

Jul-­‐04

 

Jan-­‐05

 

Jul-­‐05

 

Jan-­‐06

 

Jul-­‐06

 

Jan-­‐07

 

Jul-­‐07

 

Jan-­‐08

 

Jul-­‐08

 

Jan-­‐09

 

Jul-­‐09

 

Jan-­‐10  

Jul-­‐10  

Jan-­‐11  

Jul-­‐11  

Jan-­‐12  

Jul-­‐12  

Jan-­‐13  

Jul-­‐13  

Jan-­‐14  

Jul-­‐14  

Inde

x  (200

7  =  100)  

(Base  year:  2007)  

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Gross  Domes2c  Product  1990Q1  through  2014Q2  

-­‐10%  

-­‐8%  

-­‐6%  

-­‐4%  

-­‐2%  

0%  

2%  

4%  

6%  

8%  

Per

cent

 Cha

nge  from

 Pre

ceding

 Per

iod  (SAAR)  

2014Q2: +4.6%

Source: Bureau of Economic Analysis

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Contribu2ons  to  GDP  Growth  by  Component    2013Q2  –  2014Q2  

Source: Bureau of Economic Analysis

-­‐3.0  

-­‐2.0  

-­‐1.0  

0.0  

1.0  

2.0  

3.0  

Personal  Consumption  

Government  Spending  

Net  Exports   Gross  Investment  

1.2  

0.0  

-­‐0.5  

1.0  1.4  

0.0  

0.6  

2.5  2.5  

-­‐0.7  

1.1  

0.6  0.8  

-­‐0.2  

-­‐1.7  -­‐1.1  

1.8  

0.3  

-­‐0.3  

2.9  

SAAR  (%

)  

Q2-­‐13   Q3-­‐13   Q4-­‐13   Q1-­‐14   Q2-­‐14  

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Ordinary  People  (1980)  

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-­‐1000  

-­‐800  

-­‐600  

-­‐400  

-­‐200  

0  

200  

400  

600  Jan-­‐02

 Jun-­‐02

 Nov

-­‐02  

Apr-­‐03  

Sep-­‐03

 Fe

b-­‐04

 Jul-­‐04

 Dec-­‐04  

May-­‐05  

Oct-­‐05  

Mar-­‐06  

Aug

-­‐06  

Jan-­‐07

 Jun-­‐07

 Nov

-­‐07  

Apr-­‐08  

Sep-­‐08

 Fe

b-­‐09

 Jul-­‐09

 Dec-­‐09  

May-­‐10  

Oct-­‐10  

Mar-­‐11  

Aug

-­‐11  

Jan-­‐12  

Jun-­‐12  

Nov

-­‐12  

Apr-­‐13  

Sep-­‐13  

Feb-­‐14  

Jul-­‐14  

Thou

sand

s  

Source: U.S. Bureau of Labor Statistics

     August  2014:                    +142K  

Net  Change  in  U.S.  Jobs,  BLS  January  2002  through  August  2014  

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Na2onal  Nonfarm  Employment  by  Industry  Sector  August  2013  v.  August  2014  

-2

44

46

48

66

168

232

345

367

529

639

-100 0 100 200 300 400 500 600 700

Information

Government

Other Services

Mining and Logging

Financial Activities

Manufacturing

Construction

Leisure and Hospitality

Education and Health Services

Trade, Transportation, and Utilities

Professional and Business Services

Thousands, SA

All  told  2,482K  Jobs  gained  

Source: U.S. Bureau of Labor Statistics

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U.S.  Year-­‐over-­‐year  Percent  Change:  1.8%  

Employment  Growth,  U.S.  States  (SA)    August  2013  v.  August  2014  Percent  Change  

RANK STATE % RANK STATE % RANK STATE % 1 NORTH DAKOTA 4.4 18 MISSOURI 1.8 35 KANSAS 0.8 2 NEVADA 3.5 18 SOUTH CAROLINA 1.8 35 PENNSYLVANIA 0.8 2 TEXAS 3.5 20 MASSACHUSETTS 1.6 37 ILLINOIS 0.7 2 UTAH 3.5 20 MINNESOTA 1.6 37 MICHIGAN 0.7 5 FLORIDA 2.8 20 WISCONSIN 1.6 37 MISSISSIPPI 0.7 6 DELAWARE 2.7 23 ARKANSAS 1.5 37 NEW MEXICO 0.7 6 OREGON 2.7 23 LOUISIANA 1.5 37 SOUTH DAKOTA 0.7 8 NORTH CAROLINA 2.4 25 KENTUCKY 1.3 42 NEBRASKA 0.6 9 COLORADO 2.3 25 MAINE 1.3 43 IDAHO 0.5

10 GEORGIA 2.2 27 IOWA 1.2 43 VIRGINIA 0.5 11 CALIFORNIA 2.1 27 NEW YORK 1.2 45 MARYLAND 0.4 11 TENNESSEE 2.1 27 RHODE ISLAND 1.2 45 NEW HAMPSHIRE 0.4 11 WASHINGTON 2.1 27 WYOMING 1.2 45 VERMONT 0.4 14 ARIZONA 2.0 31 ALABAMA 1.1 48 CONNECTICUT 0.3 14 INDIANA 2.0 31 HAWAII 1.1 48 OHIO 0.3 14 OKLAHOMA 2.0 31 WEST VIRGINIA 1.1 50 NEW JERSEY 0.1 17 MONTANA 1.9 34 DISTRICT OF COLUMBIA 1.0 51 ALASKA -0.8

Source: U.S. Bureau of Labor Statistics

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U.S.  Unemployment  Rate:  6.1%  

Unemployment  Rates,  U.S.  States  (SA)    August  2014  RANK STATE % RANK STATE % RANK STATE %

1 NORTH DAKOTA 2.8 17 VIRGINIA 5.6 33 WEST VIRGINIA 6.6 2 NEBRASKA 3.6 17 WASHINGTON 5.6 36 ILLINOIS 6.7 2 SOUTH DAKOTA 3.6 17 WISCONSIN 5.6 36 NEW MEXICO 6.7 2 UTAH 3.6 21 OHIO 5.7 38 ALASKA 6.8 5 VERMONT 4.1 22 INDIANA 5.8 38 NORTH CAROLINA 6.8 6 HAWAII 4.3 22 LOUISIANA 5.8 40 ALABAMA 6.9 6 MINNESOTA 4.3 22 MASSACHUSETTS 5.8 41 ARIZONA 7.1 8 NEW HAMPSHIRE 4.4 22 PENNSYLVANIA 5.8 41 KENTUCKY 7.1 9 IOWA 4.5 26 ARKANSAS 6.3 43 OREGON 7.2

10 WYOMING 4.6 26 FLORIDA 6.3 44 CALIFORNIA 7.4 11 IDAHO 4.7 26 MISSOURI 6.3 44 MICHIGAN 7.4 11 MONTANA 4.7 29 MARYLAND 6.4 44 TENNESSEE 7.4 11 OKLAHOMA 4.7 29 NEW YORK 6.4 47 DISTRICT OF COLUMBIA 7.6 14 KANSAS 4.9 29 SOUTH CAROLINA 6.4 47 NEVADA 7.6 15 COLORADO 5.1 32 DELAWARE 6.5 49 RHODE ISLAND 7.7 16 TEXAS 5.3 33 CONNECTICUT 6.6 50 MISSISSIPPI 7.9 17 MAINE 5.6 33 NEW JERSEY 6.6 51 GEORGIA 8.1

Source: U.S. Bureau of Labor Statistics

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Unemployment  Rates,  20  Largest  Metros  (NSA)  August  2014  

Rank MSA UR Rank MSA UR

1 Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area 3.8 9

Phoenix-Mesa-Glendale, AZ Metropolitan Statistical Area 6.3

2 Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area 5.3 12

Miami-Fort Lauderdale-Pompano Beach, FL Metropolitan Statistical Area 6.6

3 Houston-Sugar Land-Baytown, TX Metropolitan Statistical Area 5.4 12 St. Louis, MO-IL Metropolitan Statistical Area 6.6

3 San Francisco-Oakland-Fremont, CA Metropolitan Statistical Area 5.4 14

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metropolitan Statistical Area 6.7

5 Boston-Cambridge-Quincy, MA-NH Metropolitan NECTA 5.5 15

Tampa-St. Petersburg-Clearwater, FL Metropolitan Statistical Area 6.8

5 Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area 5.5 16

Baltimore-Towson, MD Metropolitan Statistical Area 7.0

7 Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area 5.6 17

Los Angeles-Long Beach-Santa Ana, CA Metropolitan Statistical Area 7.7

8 San Diego-Carlsbad-San Marcos, CA Metropolitan Statistical Area 6.2 18

Detroit-Warren-Livonia, MI Metropolitan Statistical Area 7.9

9 Chicago-Joliet-Naperville, IL-IN-WI Metropolitan Statistical Area 6.3 19

Atlanta-Sandy Springs-Marietta, GA Metropolitan Statistical Area 8.0

9 New York-Northern New Jersey-Long Island, NY-NJ-PA Metropolitan Statistical Area 6.3 20

Riverside-San Bernardino-Ontario, CA Metropolitan Statistical Area 8.7

Source: U.S. Bureau of Labor Statistics

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Firefighters:  Occupa2onal  Outlook    

Source: U.S. Bureau of Labor Statistics

•  Employment  for  firefighters  is  projected  to  grow  7%  from  2012-­‐2022,  slower  than  the  average  for  all  occupations  (11%)  (WRONG,  WRONG,  WRONG);  

 •  As  population  ages,  demand  for  firefighters  will  increase  

•  2/3  of  situations  that  firefighters  respond  to  are  medical  

 •  Volunteer  positions  will  be  converted  to  paid  positions  in  

areas  where  population  growth  creates  a  need  for  a  full-­‐time  workforce  

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Volunteers  Tough  to  Find  

Source: U.S. Bureau of Labor Statistics

•  Volunteers  have  dropped  from  300,000  to  50,000  over  past  30  years  

 •  Training  costs  have  increased    •  Businesses  increasingly  reluctant  to  allow  employees  to  volunteer  

 •  Single-­‐Income  families  no  longer  commonplace  

 

 

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Field  of  Dreams  (1989)  

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15-­‐Year  &  30-­‐Year  Fixed  Mortgage  Rates    February  1995  through  September  2014*  

Source: Freddie Mac

3.36%

4.20%

1%  

2%  

3%  

4%  

5%  

6%  

7%  

8%  

9%  

10%  

Feb-­‐95

 Aug

-­‐95  

Feb-­‐96

 Aug

-­‐96  

Feb-­‐97

 Aug

-­‐97  

Feb-­‐98

 Aug

-­‐98  

Feb-­‐99

 Aug

-­‐99  

Feb-­‐00

 Aug

-­‐00  

Feb-­‐01  

Aug

-­‐01  

Feb-­‐02

 Aug

-­‐02  

Feb-­‐03

 Aug

-­‐03  

Feb-­‐04

 Aug

-­‐04  

Feb-­‐05

 Aug

-­‐05  

Feb-­‐06

 Aug

-­‐06  

Feb-­‐07

 Aug

-­‐07  

Feb-­‐08

 Aug

-­‐08  

Feb-­‐09

 Aug

-­‐09  

Feb-­‐10  

Aug

-­‐10  

Feb-­‐11  

Aug

-­‐11  

Feb-­‐12  

Aug

-­‐12  

Feb-­‐13  

Aug

-­‐13  

Feb-­‐14  

Aug

-­‐14  

Rate  

15-­‐yr   30-­‐yr  

*Week  ending  9/25/2014  

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U.S.  New  Home  Sales  January  1999  through  August  2014  

Source: U.S. Census Bureau

August  2014  504K  

0  

200  

400  

600  

800  

1,000  

1,200  

1,400  

1,600  

Thou

sand

s,  SAAR  

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U.S.  Housing  Starts  January  1999  through  August  2014  

Source: U.S. Census Bureau

0  

500  

1,000  

1,500  

2,000  

2,500  Jan-­‐99

 Jul-­‐99

 Jan-­‐00

 Jul-­‐00

 Jan-­‐01  

Jul-­‐01  

Jan-­‐02

 Jul-­‐02

 Jan-­‐03

 Jul-­‐03

 Jan-­‐04

 Jul-­‐04

 Jan-­‐05

 Jul-­‐05

 Jan-­‐06

 Jul-­‐06

 Jan-­‐07

 Jul-­‐07

 Jan-­‐08

 Jul-­‐08

 Jan-­‐09

 Jul-­‐09

 Jan-­‐10  

Jul-­‐10  

Jan-­‐11  

Jul-­‐11  

Jan-­‐12  

Jul-­‐12  

Jan-­‐13  

Jul-­‐13  

Jan-­‐14  

Jul-­‐14  

Thou

sand

s,  SAAR  

1  Unit   5  units  or  more  

August  2014:  1  Unit:  643K  5  Units  or  more:  304K    

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U.S.  Housing  Building  Permits  January  1999  through  August  2014  

Source: U.S. Census Bureau

0  

500  

1,000  

1,500  

2,000  

2,500  Jan-­‐99

 Jul-­‐99

 Jan-­‐00

 Jul-­‐00

 Jan-­‐01  

Jul-­‐01  

Jan-­‐02

 Jul-­‐02

 Jan-­‐03

 Jul-­‐03

 Jan-­‐04

 Jul-­‐04

 Jan-­‐05

 Jul-­‐05

 Jan-­‐06

 Jul-­‐06

 Jan-­‐07

 Jul-­‐07

 Jan-­‐08

 Jul-­‐08

 Jan-­‐09

 Jul-­‐09

 Jan-­‐10  

Jul-­‐10  

Jan-­‐11  

Jul-­‐11  

Jan-­‐12  

Jul-­‐12  

Jan-­‐13  

Jul-­‐13  

Jan-­‐14  

Jul-­‐14  

Thou

sand

s,  SAAR  

1  Unit   5  units  or  more  

August  2014:  1  Unit:  626K  5  Units  or  more:  343K    

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0%  

2%  

4%  

6%  

8%  

10%  

12%  

14%  

3.8%   3.8%   4.0%  

5.7%  6.7%   6.7%   6.8%  

7.4%  8.4%  

9.0%  

10.3%  11.0%  

12.8%  

12-­‐M

onth  %

 Cha

nge  

S&P/Case-Shiller Home Price Indices for Select Metros July 2014, 12-Month Percentage Change

Source: Standard & Poor’s

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The  Shining  (1980)  

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September-­‐14  86.0  

0  

20  

40  

60  

80  

100  

120  

2005

 20

07  

Feb-­‐08

 Apr-­‐08  

Jun-­‐08

 Aug

-­‐08  

Oct-­‐08  

Dec-­‐08  

Feb-­‐09

 Apr-­‐09  

Jun-­‐09

 Aug

-­‐09  

Oct-­‐09  

Dec-­‐09  

Feb-­‐10  

Apr-­‐10  

Jun-­‐10  

Aug

-­‐10  

Oct-­‐10  

Dec-­‐10  

Feb-­‐11  

Apr-­‐11  

Jun-­‐11  

Aug

-­‐11  

Oct-­‐11  

Dec-­‐11  

Feb-­‐12  

Apr-­‐12  

Jun-­‐12  

Aug

-­‐12  

Oct-­‐12  

Dec-­‐12  

Feb-­‐13  

Apr-­‐13  

Jun-­‐13  

Aug

-­‐13  

Oct-­‐13  

Dec-­‐13  

Feb-­‐14  

Apr-­‐14  

Jun-­‐14  

Aug

-­‐14  

Conference Board Consumer Confidence Index 2005 – September 2014

Source: Conference Board

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U.S. Retail and Food Service Sales January 2001 through August 2014

Source: U.S. Census Bureau

-­‐15.0%  

-­‐10.0%  

-­‐5.0%  

0.0%  

5.0%  

10.0%  

15.0%  Jan-­‐01  

Jul-­‐01  

Jan-­‐02

 Jul-­‐02

 Jan-­‐03

 Jul-­‐03

 Jan-­‐04

 Jul-­‐04

 Jan-­‐05

 Jul-­‐05

 Jan-­‐06

 Jul-­‐06

 Jan-­‐07

 Jul-­‐07

 Jan-­‐08

 Jul-­‐08

 Jan-­‐09

 Jul-­‐09

 Jan-­‐10  

Jul-­‐10  

Jan-­‐11  

Jul-­‐11  

Jan-­‐12  

Jul-­‐12  

Jan-­‐13  

Jul-­‐13  

Jan-­‐14  

Jul-­‐14  

August  2014:  5.0%  

Year  to

 Yea

r  %  cha

nge  

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-­‐0.8%  

1.7%  

1.9%  

3.0%  

3.2%  

3.4%  

3.6%  

4.8%  

6.7%  

7.1%  

7.1%  

8.1%  

8.9%  

-­‐5.0%   -­‐3.0%   -­‐1.0%   1.0%   3.0%   5.0%   7.0%   9.0%   11.0%  

Gasoline Stations

Electronics & Appliance Stores

General Merchandise Stores

Furniture & Home Furn. Stores

Clothing & Clothing Accessories Stores

Miscellaneous Store Retailers

Food & Beverage Stores

Sporting Goods, Hobby, Book & Music Stores

Building Material & Garden Supplies Dealers

Internet, etc. Retailers

Food Services & Drinking Places

Health & Personal Care Stores

Motor Vehicle & Parts Dealers

12-­‐month  %  change  

Sales Growth by Type of Business August 2013 v. August 2014*

Source: U.S. Census Bureau

*August  2014  advanced  estimate  

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Conference  Board  Leading  Economic  Indicators  Index  August  2007  through  August  2014  

Source: Conference Board

-­‐1.5%  

-­‐1.0%  

-­‐0.5%  

0.0%  

0.5%  

1.0%  

1.5%  Aug

-­‐07  

Nov

-­‐07  

Feb-­‐08

 May-­‐08  

Aug

-­‐08  

Nov

-­‐08  

Feb-­‐09

 May-­‐09  

Aug

-­‐09  

Nov

-­‐09  

Feb-­‐10  

May-­‐10  

Aug

-­‐10  

Nov

-­‐10  

Feb-­‐11  

May-­‐11  

Aug

-­‐11  

Nov

-­‐11  

Feb-­‐12  

May-­‐12  

Aug

-­‐12  

Nov

-­‐12  

Feb-­‐13  

May-­‐13  

Aug

-­‐13  

Nov

-­‐13  

Feb-­‐14  

May-­‐14  

Aug

-­‐14  

One

-­‐mon

th  Per

cent

 Cha

nge  

August  2014  =  103.8    where  2004=100  

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Coming  to  America  (1988)  •  Economy  gained  momentum  over  the  course  of  last  year;  

 

•  Tailwinds  included  booming  stock  market,  lower  gasoline  prices,  stabilizing  global  economy,  and  consumer  expenditures  on  interest  rate  sensitive  durable  goods  like  housing  and  autos;  

 

•  The  current  year  is  associated  with  greater  certainty  regarding  federal  budgeting  and  monetary  policy  –  that  helps;  

     

•  The  world  is  not  perfect  -­‐  black  swan  threats  remain:  (1)  Iran  (2)  Israel/Iran  (3)  Europe  (4)  contagion  (5)  cyber  (6)  EMP;  

•  Healthcare  reform  could  slow  full-­‐time  hiring  over  the  course  of  the  year;  and  

 

•  Regions  with  rapid  population  growth  and/or  significant  import/export  activity,  industrial  output  and  energy  production  will  lead  the  way.  

 

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