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By: Anirban Basu
Sage Policy Group, Inc.
May 2nd, 2016
The Economist Who Loved Me
On Behalf of
The Maryland Economic Development Association
The World is Not
(Growing) Enough
*1999: Pierce Brosnan; Sophie Marceau
-3.8%
2.4%
-0.5%
3.1%
7.5%
6.5%
6.4%
-1.8%
3.5%
3.0%
4.1%
2.4%
2.5%
1.5%
1.9%
0.5%
2.6%
1.0%
1.5%
1.1%
1.5%
1.9%
-6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0%
Brazil
Mexico
Latin America & the Caribbean
Middle East, North Africa, Afghanistan, & Pakistan
India (1)
China
Emerging & developing Asia
Russia
Emerging & developing Europe
Sub-Saharan Africa
Emerging market & developing economies
United States
Australia
Canada
United Kingdom
Japan
Spain
Italy
Germany
France
Euro area
Advanced economies
Annual % Change
Estimated Growth in Output by Select Global Areas
2016 Projected
Notes: 1. For India, data and forecasts are presented on a fiscal year basis and GDP from 2011 onward is based on GDP at
market prices with fiscal year 2011/12 as a base year. 2. For World Output, the quarterly estimates and projections account for
approximately 90 percent of annual world output at purchasing-power-parity weights. For Emerging Market and Developing
Economies, the quarterly estimates and projections account for approximately 80 percent of annual emerging market and
developing economies’ output at purchasing-power-parity weights.
2016 Proj. Global Output Growth: 3.2%
Source: International Monetary Fund, World Economic Outlook Database, April 2016.
$0
$20
$40
$60
$80
$100
$120
$140
Mar-01
Jul-01
Nov-01
Mar-02
Jul-02
Nov-02
Mar-03
Jul-03
Nov-03
Mar-04
Jul-04
Nov-04
Mar-05
Jul-05
Nov-05
Mar-06
Jul-06
Nov-06
Mar-07
Jul-07
Nov-07
Mar-08
Jul-08
Nov-08
Mar-09
Jul-09
Nov-09
Mar-10
Jul-10
Nov-10
Mar-11
Jul-11
Nov-11
Mar-12
Jul-12
Nov-12
Mar-13
Jul-13
Nov-13
Mar-14
Jul-14
Nov-14
Mar-15
Jul-15
Nov-15
Mar-16
$/Barrel
March 2016:
$37.92 /Barrel
NYMEX Crude Oil Future Prices in U.S. Dollars
March 2001 through March 2016
Source: U.S. Energy Information Administration
World Oil Demand Growth
2007Q1 through 2016Q1*
Source: The World Bank; International Energy Agency
-4.0
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
4.0
2007Q1 2008Q1 2009Q1 2010Q1 2011Q1 2012Q1 2013Q1 2014Q1 2015Q1 2016Q1*
mb/d,growthyearoveryear
Other Non-OECD
OECD
China
*2016Q1 is an estimate
Moneypenny—Metal Price Indices
March 2007 through March 2016
Source: The World Bank
US$ Nominal
Base metals include aluminum, copper, lead, nickel, tin and zinc.
Precious metals include gold, platinum, and silver.
Base Metals
Iron Ore
Precious Metals
25
45
65
85
105
125
145
165
Mar-07
Jul-07
Nov-07
Mar-08
Jul-08
Nov-08
Mar-09
Jul-09
Nov-09
Mar-10
Jul-10
Nov-10
Mar-11
Jul-11
Nov-11
Mar-12
Jul-12
Nov-12
Mar-13
Jul-13
Nov-13
Mar-14
Jul-14
Nov-14
Mar-15
Jul-15
Nov-15
Mar-16
2010=100
Source: Quandl.com
Baltic Dry Index
April 2009 through April 2016
0
1,000
2,000
3,000
4,000
5,000
Apr-09
Aug-09
Dec-09
Apr-10
Aug-10
Dec-10
Apr-11
Aug-11
Dec-11
Apr-12
Aug-12
Dec-12
Apr-13
Aug-13
Dec-13
Apr-14
Aug-14
Dec-14
Apr-15
Aug-15
Dec-15
Apr-16
Jan. 4, 1985: 1,000
April 22nd
The Baltic Dry Index (BDI) is a measure of the price of shipping major raw
materials such as metals, grains, and fossil fuels by sea.
The BDI is a composite of 3 sub-indices, each covering a different carrier
size: Capesize, Panamax, and Supramax.
Skyfall - BRAZIL
• Consumer price index increased 10.7 percent in
2015, despite ongoing economic contraction;
• Highest inflation rate in more than a decade;
• Increases in key categories:
• Food (12.3%)
• Transportation prices (10.2%)
• Housing related costs (18.3%)
• Brazil’s real down 33 percent compared to the
U.S. dollar by end of 2015.
• Standard & Poor’s and Fitch Ratings downgraded
sovereign debt to junk status
• Boletin Focus, a weekly survey of 100 private
financial analysts, predicts Brazil’s economy will
contract by another 3 percent this year.
Source: Currency Exchange, Wall Street Journal
*2012: Daniel Craig, Berenice Marlohe
A View to a Kill - RUSSIA
• Collapse in oil prices and economic sanctions
(and counter sanctions) related to Ukraine
have hurt Russian economic growth;
• Economy contracted about 4 percent in 2015;
• World Bank: Russia will remain in recession in
2016;
• Russia’s ruble down 20 percent compared
to U.S. dollar by end of 2015;
• Continued decline in investment
expected;
• Budget expenditures will drop 3 to 5
percent in 2016.
Source: Currency Exchange, CNBC
*1985: Roger Moore, Tanya Roberts
I Expect You to Grow - CHINA
• Growth at slowest pace in 2 decades;
• World Bank predicts 6.7% economic
growth for 2016 (down from 7.0% in
June);
• George Soros: China has “a major
adjustment problem” on its hands;
• Stock values fell 12 percent during first week
of 2016 trading;
• Government attempts to stabilize economy
only made investors even more wary;
• Circuit breaker system shuts down trading
when losses hit a certain level;
• Too restrictive and causes panic selling once
breakers are turned off.
Source: Currency Exchange, CNN Money
*(1964) Goldfinger, misquote from Auric Goldfinger, Sean
Connery, Honor Blackman
Quantum of Solace
*2008: Daniel Craig; Olga Kurylenko
-10%
-8%
-6%
-4%
-2%
0%
2%
4%
6%
8% 1990Q1
1991Q1
1992Q1
1993Q1
1994Q1
1995Q1
1996Q1
1997Q1
1998Q1
1999Q1
2000Q1
2001Q1
2002Q1
2003Q1
2004Q1
2005Q1
2006Q1
2007Q1
2008Q1
2009Q1
2010Q1
2011Q1
2012Q1
2013Q1
2014Q1
2015Q1
2016Q1
PercentChangefromPrecedingPeriod(SAAR)
2016Q1: +0.5%
Gross Domestic Product
1990Q1 through 2016Q1*
Source: Bureau of Economic Analysis *Advance (1st) Estimate
Contributions to GDP Growth by Component
2015Q2 – 2016Q1*
-3.0
-2.0
-1.0
0.0
1.0
2.0
3.0
Personal
Consumption
Government
Spending
Net Exports Gross
Investment
2.4
0.5
0.2
0.9
2.0
0.3
-0.3
-0.1
1.7
0.0
-0.1 -0.2
1.3
0.2
-0.3
-0.6
SAAR(%)
Q2-15 Q3-15 Q4-15 Q1-16
3.9
2.0
1.4
0.5
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
4.5
GDP
PercentChangefromPrecedingPeriod(SAAR)
2016Q1: +0.5%
Source: Bureau of Economic Analysis *Advance (1st) Estimate
-1,000
-800
-600
-400
-200
0
200
400
600 Mar-02
Jul-02
Nov-02
Mar-03
Jul-03
Nov-03
Mar-04
Jul-04
Nov-04
Mar-05
Jul-05
Nov-05
Mar-06
Jul-06
Nov-06
Mar-07
Jul-07
Nov-07
Mar-08
Jul-08
Nov-08
Mar-09
Jul-09
Nov-09
Mar-10
Jul-10
Nov-10
Mar-11
Jul-11
Nov-11
Mar-12
Jul-12
Nov-12
Mar-13
Jul-13
Nov-13
Mar-14
Jul-14
Nov-14
Mar-15
Jul-15
Nov-15
Mar-16
Thousands
Source: U.S. Bureau of Labor Statistics
March 2016:
+215K
Net Change in U.S. Jobs, BLS
March 2002 through March 2016
National Nonfarm Employment
by Industry Sector
March 2015 v. March 2016
-139
-27
39
74
121
145
301
472
499
606
711
-300 -100 100 300 500 700 900
Mining and Logging
Manufacturing
Information
Other Services
Government
Financial Activities
Construction
Leisure and Hospitality
Trade, Transportation, and Utilities
Professional and Business Services
Education and Health Services
Thousands, SA
All told 2,802K Jobs gained
Source: U.S. Bureau of Labor Statistics
Maryland Nonfarm Employment
by Industry Sector Groups (SA)
March 2015 v. March 2016
Absolute Change
-200
100
2,300
2,900
4,000
7,400
7,900
10,900
12,200
14,900
-1,000 1,000 3,000 5,000 7,000 9,000 11,000 13,000 15,000
Information
Government
Financial Activities
Manufacturing
Other Services
Education and Health Services
Trade, Transportation, and Utilities
Mining, Logging, and Construction
Professional and Business Services
Leisure and Hospitality
MD Total:
+62.4K; +2.4%
US Total (SA):
+2,802K; +2.0%
Source: U.S. Bureau of Labor Statistics
*According to the Local Area Unemployment Statistics (LAUS) series MD
added 53,252 jobs between March 2015 and March 2016.
-1,000
300
700
1,100
1,800
3,500
4,300
5,600
6,000
13,200
-3,000 -1,000 1,000 3,000 5,000 7,000 9,000 11,000 13,000 15,000
Government
Information
Financial Activities
Other Services
Manufacturing
Trade, Transportation, and Utilities
Mining, Logging, and Construction
Education and Health Services
Leisure and Hospitality
Professional and Business Services
Baltimore-Columbia-Towson MSA Nonfarm Employment
by Industry Sector Groups (NSA)
March 2015 v. March 2016
Absolute Change
Baltimore MSA Total:
+35.5K; +2.6%
MD Total (SA):
+62.4K; +2.4%
US Total (SA):
+2,802K; +2.0%
Source: U.S. Bureau of Labor Statistics
Washington, DC-Arlington-Alexandria MSA Nonfarm Employment
by Industry Sector Groups (NSA)
March 2015 v. March 2016
Absolute Change
-1,700
500
2,000
4,800
6,100
9,600
12,100
13,300
15,800
24,100
-5,000 0 5,000 10,000 15,000 20,000 25,000
Information
Manufacturing
Financial Activities
Other Services
Government
Education and Health Services
Mining, Logging, and Construction
Trade, Transportation, and Utilities
Leisure and Hospitality
Professional and Business Services
DC MSA Total:
+86.6K; +2.8%
US Total (SA):
+2,802K; +2.0%
Source: U.S. Bureau of Labor Statistics
Employment Growth, U.S. States (SA)
March 2015 v. March 2016 Percent Change
RANK STATE % RANK STATE % RANK STATE %
1 IDAHO 3.6 18 MICHIGAN 2.3 33 INDIANA 1.3
2 OREGON 3.3 19 ARKANSAS 2.2 36 ALABAMA 1.2
2 UTAH 3.3 20 KENTUCKY 2.0 37 MINNESOTA 1.1
4 TENNESSEE 3.2 20 NEW JERSEY 2.0 38 IOWA 1.0
4 WASHINGTON 3.2 22 MASSACHUSETTS 1.8 38 MAINE 1.0
6 ARIZONA 3.1 22 MISSISSIPPI 1.8 38 SOUTH DAKOTA 1.0
6 GEORGIA 3.1 22 OHIO 1.8 41 CONNECTICUT 0.9
8 FLORIDA 2.9 22 RHODE ISLAND 1.8 41 MISSOURI 0.9
8 HAWAII 2.9 22 WISCONSIN 1.8 43 MONTANA 0.7
10 COLORADO 2.8 27 NEBRASKA 1.6 44 NEW MEXICO 0.3
10 NEVADA 2.8 27 NEW HAMPSHIRE 1.6 45 KANSAS 0.0
10 VIRGINIA 2.8 27 TEXAS 1.6 46 OKLAHOMA -0.4
13 SOUTH CAROLINA 2.7 30 NEW YORK 1.4 47 ALASKA -0.5
14 CALIFORNIA 2.6 30 PENNSYLVANIA 1.4 48 LOUISIANA -0.7
14 DELAWARE 2.6 30 VERMONT 1.4 48 WEST VIRGINIA -0.7
16 NORTH CAROLINA 2.5 33 DISTRICT OF COLUMBIA 1.3 50 WYOMING -3.2
17 MARYLAND 2.4 33 ILLINOIS 1.3 51 NORTH DAKOTA -4.5
Source: U.S. Bureau of Labor Statistics
U.S. Year-over-year Percent Change: +2.0%
Source: Moody’s Economy
Recession Watch
as of January 2016
U.S. Unemployment Rate: 5.0%
Unemployment Rates, U.S. States (SA)
March 2016
Source: U.S. Bureau of Labor Statistics
RANK STATE % RANK STATE % RANK STATE %
1 SOUTH DAKOTA 2.5 17 TEXAS 4.3 34 CALIFORNIA 5.4
2 NEW HAMPSHIRE 2.6 19 DELAWARE 4.4 34 RHODE ISLAND 5.4
3 COLORADO 2.9 19 MASSACHUSETTS 4.4 37 GEORGIA 5.5
4 NEBRASKA 3.0 19 NEW JERSEY 4.4 37 NORTH CAROLINA 5.5
5 HAWAII 3.1 19 OKLAHOMA 4.4 39 KENTUCKY 5.6
5 NORTH DAKOTA 3.1 23 OREGON 4.5 40 CONNECTICUT 5.7
7 VERMONT 3.3 23 TENNESSEE 4.5 40 SOUTH CAROLINA 5.7
8 MAINE 3.4 23 WISCONSIN 4.5 42 NEVADA 5.8
9 UTAH 3.5 26 MARYLAND 4.7 42 WASHINGTON 5.8
10 MINNESOTA 3.7 27 MICHIGAN 4.8 44 LOUISIANA 6.1
11 IDAHO 3.8 27 NEW YORK 4.8 45 ALABAMA 6.2
11 IOWA 3.8 29 FLORIDA 4.9 45 NEW MEXICO 6.2
13 KANSAS 3.9 29 PENNSYLVANIA 4.9 47 MISSISSIPPI 6.3
14 ARKANSAS 4.0 31 INDIANA 5.0 48 DISTRICT OF COLUMBIA 6.5
14 VIRGINIA 4.0 32 OHIO 5.1 48 ILLINOIS 6.5
16 MISSOURI 4.2 33 WYOMING 5.2 48 WEST VIRGINIA 6.5
17 MONTANA 4.3 34 ARIZONA 5.4 51 ALASKA 6.6
Unemployment Rates, 20 Largest Metros (NSA)
March 2016
Source: U.S. Bureau of Labor Statistics
Rank MSA UR Rank MSA UR
1
Dallas-Fort Worth-Arlington, TX Metropolitan
Statistical Area 3.8 10
Houston-The Woodlands-Sugar Land, TX
Metropolitan Statistical Area 4.9
1
San Francisco-Oakland-Hayward, CA Metropolitan
Statistical Area 3.8 10
Miami-Fort Lauderdale-West Palm Beach,
FL Metropolitan Statistical Area 4.9
3
Boston-Cambridge-Nashua, MA-NH Metropolitan
NECTA 4.0 13
New York-Newark-Jersey City, NY-NJ-PA
Metropolitan Statistical Area 5.0
3
Minneapolis-St. Paul-Bloomington, MN-WI
Metropolitan Statistical Area 4.0 13
Philadelphia-Camden-Wilmington, PA-NJ-
DE-MD Metropolitan Statistical Area 5.0
5
Washington-Arlington-Alexandria, DC-VA-MD-
WV Metropolitan Statistical Area 4.1 15
Seattle-Tacoma-Bellevue, WA Metropolitan
Statistical Area 5.1
6
Tampa-St. Petersburg-Clearwater, FL Metropolitan
Statistical Area 4.4 15
St. Louis, MO-IL Metropolitan Statistical
Area (1) 5.1
7
Phoenix-Mesa-Scottsdale, AZ Metropolitan
Statistical Area 4.5 17
Atlanta-Sandy Springs-Roswell, GA
Metropolitan Statistical Area 5.2
8
San Diego-Carlsbad, CA Metropolitan Statistical
Area 4.7 18
Detroit-Warren-Dearborn, MI Metropolitan
Statistical Area 5.6
9
Los Angeles-Long Beach-Anaheim, CA Metropolitan
Statistical Area 4.8 19
Riverside-San Bernardino-Ontario, CA
Metropolitan Statistical Area 5.8
10
Baltimore-Columbia-Towson, MD Metropolitan
Statistical Area 4.9 20
Chicago-Naperville-Elgin, IL-IN-WI
Metropolitan Statistical Area 6.6
1. Area boundaries do not reflect official OMB definitions.
MD County Unemployment Rates
March 2016
Source: U.S. Bureau of Labor Statistics
Rank Jurisdiction UR Rank Jurisdiction UR
1 Howard County 3.4 13 Talbot County 5.1
2 Montgomery County 3.5 14 Kent County 5.3
3 Carroll County 3.9 15 Caroline County 5.5
4 Anne Arundel County 4.1 16 Cecil County 5.6
4 Calvert County 4.1 17 Washington County 5.7
4 Frederick County 4.1 18 Wicomico County 6.8
7 Queen Anne's County 4.4 19 Baltimore City 7.1
8 St. Mary's County 4.5 20 Garrett County 7.2
9 Charles County 4.6 21 Allegany County 7.3
9 Harford County 4.6 22 Dorchester County 7.6
11 Prince George's County 4.8 23 Somerset County 8.2
12 Baltimore County 5.0 24 Worcester County 12.4
Personal Income Per Capita, by MD County, 2014
Source: U.S. Bureau of Economic Analysis
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
$80,000
Montgomery
Howard
Talbot
AnneArundel
Baltimore
QueenAnne's
Calvert
Carroll
Frederick
Harford
Charles
Kent
St.Mary's
Worcester
PrinceGeorge's
Garrett
BaltimoreCity
Cecil
Caroline
Dorchester
Washington
Wicomico
Allegany
Somerset
Fastest/Slowest Growing MD Municipalities
Population Growth April 2010 – July 2014
Source: State Department of Planning, Maryland Data Center
TOP 20 BOTTOM 20
Rank City/Place County % Rank City/Place County %
1 Upper Marlboro town Prince George's County 32.4% 138 Crisfield city Somerset County -2.1%
2 Leonardtown town St. Mary's County 19.3% 139 Henderson town Caroline County -2.1%
3 Gaithersburg city Montgomery County 11.6% 140 Loch Lynn Heights town Garrett County -2.2%
4 Rockville city Montgomery County 7.6% 141 Friendsville town Garrett County -2.2%
5 Emmitsburg town Frederick County 7.5% 142 Chestertown town Kent County -2.4%
6 Salisbury city Wicomico County 7.3% 143 Greensboro town Caroline County -2.5%
7 Centreville town Queen Anne's County 6.7% 144 Kitzmiller town Garrett County -2.5%
8 College Park city Prince George's County 6.1% 145 Deer Park town Garrett County -2.5%
9 Fruitland city Wicomico County 5.8% 146 Federalsburg town Caroline County -2.6%
10 Takoma Park city Montgomery County 5.7% 147 Preston town Caroline County -2.8%
11 Poolesville town Montgomery County 5.7% 148 Cumberland city Allegany County -2.9%
12 Glen Echo town Montgomery County 5.5% 149 Millington town Kent County -3.0%
13 North Chevy Chase village Montgomery County 5.4% 150 Lonaconing town Allegany County -3.1%
14 Chevy Chase View town Montgomery County 5.3% 151 Betterton town Kent County -3.2%
15 Martin's Additions village Montgomery County 5.3% 152 Frostburg city Allegany County -3.3%
16 Kensington town Montgomery County 5.2% 153 Westernport town Allegany County -3.5%
17 Washington Grove town Montgomery County 5.1% 154 Barton town Allegany County -3.7%
18 Somerset town Montgomery County 5.1% 155 Midland town Allegany County -4.0%
19 Garrett Park town Montgomery County 5.0% 156 Oxford town Talbot County -4.1%
20 Bowie city Prince George's County 4.9% 157 Trappe town Talbot County -4.4%
License to Sell
*License to Kill, 1989: Timothy Dalton; Carey Lowell
15-Year & 30-Year Fixed Mortgage Rates
April 1995 through April 2016*
Source: Freddie Mac
2.89%
3.66%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
Apr-95
Oct-95
Apr-96
Oct-96
Apr-97
Oct-97
Apr-98
Oct-98
Apr-99
Oct-99
Apr-00
Oct-00
Apr-01
Oct-01
Apr-02
Oct-02
Apr-03
Oct-03
Apr-04
Oct-04
Apr-05
Oct-05
Apr-06
Oct-06
Apr-07
Oct-07
Apr-08
Oct-08
Apr-09
Oct-09
Apr-10
Oct-10
Apr-11
Oct-11
Apr-12
Oct-12
Apr-13
Oct-13
Apr-14
Oct-14
Apr-15
Oct-15
Apr-16
Rate
15-yr 30-yr
*Week ending 4/28/2016
Source: U.S. Census Bureau
U.S. Homeownership
60%
62%
64%
66%
68%
70%
1980Q1
1981Q1
1982Q1
1983Q1
1984Q1
1985Q1
1986Q1
1987Q1
1988Q1
1989Q1
1990Q1
1991Q1
1992Q1
1993Q1
1994Q1
1995Q1
1996Q1
1997Q1
1998Q1
1999Q1
2000Q1
2001Q1
2002Q1
2003Q1
2004Q1
2005Q1
2006Q1
2007Q1
2008Q1
2009Q1
2010Q1
2011Q1
2012Q1
2013Q1
2014Q1
2015Q1
2016Q1
2016Q1:
Source: U.S. Census Bureau
U.S. Private New Multifamily Construction
February 1993 through February 2016
$0
$10
$20
$30
$40
$50
$60
$70
Feb-93
Feb-94
Feb-95
Feb-96
Feb-97
Feb-98
Feb-99
Feb-00
Feb-01
Feb-02
Feb-03
Feb-04
Feb-05
Feb-06
Feb-07
Feb-08
Feb-09
Feb-10
Feb-11
Feb-12
Feb-13
Feb-14
Feb-15
Feb-16
$Billions(SAAR)
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
1.4%
1.8% 2.1%
3.7%
5.4%
6.1% 6.2% 6.4% 6.5% 6.8%
9.0% 9.3%
9.7%
12-Month%Change
S&P/Case-Shiller Home Price Indices for Select Metros
February 2016, 12-Month Percentage Change
Source: Standard & Poor’s
Maryland Median Home Sale Prices
March 2005 through March 2016
-20%
-15%
-10%
-5%
0%
5%
10%
15%
20%
25%
30%
Mar-05
Jun-05
Sep-05
Dec-05
Mar-06
Jun-06
Sep-06
Dec-06
Mar-07
Jun-07
Sep-07
Dec-07
Mar-08
Jun-08
Sep-08
Dec-08
Mar-09
Jun-09
Sep-09
Dec-09
Mar-10
Jun-10
Sep-10
Dec-10
Mar-11
Jun-11
Sep-11
Dec-11
Mar-12
Jun-12
Sep-12
Dec-12
Mar-13
Jun-13
Sep-13
Dec-13
Mar-14
Jun-14
Sep-14
Dec-14
Mar-15
Jun-15
Sep-15
Dec-15
Mar-16
Year-over-year%change
Trend Line
March 2015 v. March 2016: +2.3%
Source: Maryland Association of Realtors (MAR)
Months of Inventory by Maryland County
March 2016
Source: Maryland Association of Realtors (MAR)
23.0
2.4
0
5
10
15
20
25
Maryland: 4.4 Months
Tomorrow Never Dies
*1997: Pierce Brosnan; Michelle Yeoh; Teri Hatcher
-15.6%
-2.1%
0.1%
1.2%
1.2%
1.4%
2.6%
3.4%
5.5%
6.1%
6.3%
6.5%
10.8%
-20% -15% -10% -5% 0% 5% 10% 15% 20%
Gasoline Stations
Electronics & Appliance Stores
Clothing & Clothing Accessories Stores
Food & Beverage Stores
General Merchandise Stores
Motor Vehicle & Parts Dealers
Miscellaneous Store Retailers
Furniture & Home Furn. Stores
Food Services & Drinking Places
Sporting Goods, Hobby, Book & Music Stores
Health & Personal Care Stores
Internet, etc. Retailers
Building Material & Garden Supplies Dealers
12-month % change
Sales Growth by Type of Business
March 2015 v. March 2016*
Source: U.S. Census Bureau *March 2016 advanced estimate
Total Retail Sales: +1.7% YOY
Conference Board Leading Economic Indicators Index
August 2007 through March 2016
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
Nov-14
Feb-15
May-15
Aug-15
Nov-15
Feb-16
One-monthPercentChange
March 2016: 123.4
where 2010: 100
Dr. Know
• Not a Happy New Year so far.
Everyone knows about China, etc.
and N.Korea, but we have problems
right here;
• Corporate profit margins are slipping
and interest rates are likely on the
rise – does not sound like a great
recipe for stock prices or for
corporate investment;
• Only the consumer is really
contributing significantly to growth,
with state and local government
spending playing a supporting role;
• Job growth should remain decent in
the near-term – we ended 2015 with
a near-record in total job openings;
• Maryland is in better shape – we
don’t produce oil or natural gas, we
don’t export very much, cyber-
security is a legitimate growth
industry, and a new Speaker of the
House should be able to avert near-
term federal fiscal catastrophe; and
• We may be transitioning very
quickly from the mid-cycle stage of
the recovery to the late-stage: 2017-
18 outlook very murky.
*1962: Sean Connery; Ursula Andress
Thank You
 Follow us on Twitter @SagePolicyGroup
 You can always reach me at
abasu@sagepolicy.com
 Please look for updates of information at
www.sagepolicy.com.
 Also, if you need us in a hurry, we are at
410.522.7243 (410.522.SAGE)
 Please contact us when you require
economic research & policy analysis.

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MEDA 2016 Annual Confernece: The Economist Who Loved Me

  • 1. By: Anirban Basu Sage Policy Group, Inc. May 2nd, 2016 The Economist Who Loved Me On Behalf of The Maryland Economic Development Association
  • 2. The World is Not (Growing) Enough *1999: Pierce Brosnan; Sophie Marceau
  • 3. -3.8% 2.4% -0.5% 3.1% 7.5% 6.5% 6.4% -1.8% 3.5% 3.0% 4.1% 2.4% 2.5% 1.5% 1.9% 0.5% 2.6% 1.0% 1.5% 1.1% 1.5% 1.9% -6.0% -4.0% -2.0% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% Brazil Mexico Latin America & the Caribbean Middle East, North Africa, Afghanistan, & Pakistan India (1) China Emerging & developing Asia Russia Emerging & developing Europe Sub-Saharan Africa Emerging market & developing economies United States Australia Canada United Kingdom Japan Spain Italy Germany France Euro area Advanced economies Annual % Change Estimated Growth in Output by Select Global Areas 2016 Projected Notes: 1. For India, data and forecasts are presented on a fiscal year basis and GDP from 2011 onward is based on GDP at market prices with fiscal year 2011/12 as a base year. 2. For World Output, the quarterly estimates and projections account for approximately 90 percent of annual world output at purchasing-power-parity weights. For Emerging Market and Developing Economies, the quarterly estimates and projections account for approximately 80 percent of annual emerging market and developing economies’ output at purchasing-power-parity weights. 2016 Proj. Global Output Growth: 3.2% Source: International Monetary Fund, World Economic Outlook Database, April 2016.
  • 5. World Oil Demand Growth 2007Q1 through 2016Q1* Source: The World Bank; International Energy Agency -4.0 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0 2007Q1 2008Q1 2009Q1 2010Q1 2011Q1 2012Q1 2013Q1 2014Q1 2015Q1 2016Q1* mb/d,growthyearoveryear Other Non-OECD OECD China *2016Q1 is an estimate
  • 6. Moneypenny—Metal Price Indices March 2007 through March 2016 Source: The World Bank US$ Nominal Base metals include aluminum, copper, lead, nickel, tin and zinc. Precious metals include gold, platinum, and silver. Base Metals Iron Ore Precious Metals 25 45 65 85 105 125 145 165 Mar-07 Jul-07 Nov-07 Mar-08 Jul-08 Nov-08 Mar-09 Jul-09 Nov-09 Mar-10 Jul-10 Nov-10 Mar-11 Jul-11 Nov-11 Mar-12 Jul-12 Nov-12 Mar-13 Jul-13 Nov-13 Mar-14 Jul-14 Nov-14 Mar-15 Jul-15 Nov-15 Mar-16 2010=100
  • 7. Source: Quandl.com Baltic Dry Index April 2009 through April 2016 0 1,000 2,000 3,000 4,000 5,000 Apr-09 Aug-09 Dec-09 Apr-10 Aug-10 Dec-10 Apr-11 Aug-11 Dec-11 Apr-12 Aug-12 Dec-12 Apr-13 Aug-13 Dec-13 Apr-14 Aug-14 Dec-14 Apr-15 Aug-15 Dec-15 Apr-16 Jan. 4, 1985: 1,000 April 22nd The Baltic Dry Index (BDI) is a measure of the price of shipping major raw materials such as metals, grains, and fossil fuels by sea. The BDI is a composite of 3 sub-indices, each covering a different carrier size: Capesize, Panamax, and Supramax.
  • 8. Skyfall - BRAZIL • Consumer price index increased 10.7 percent in 2015, despite ongoing economic contraction; • Highest inflation rate in more than a decade; • Increases in key categories: • Food (12.3%) • Transportation prices (10.2%) • Housing related costs (18.3%) • Brazil’s real down 33 percent compared to the U.S. dollar by end of 2015. • Standard & Poor’s and Fitch Ratings downgraded sovereign debt to junk status • Boletin Focus, a weekly survey of 100 private financial analysts, predicts Brazil’s economy will contract by another 3 percent this year. Source: Currency Exchange, Wall Street Journal *2012: Daniel Craig, Berenice Marlohe
  • 9. A View to a Kill - RUSSIA • Collapse in oil prices and economic sanctions (and counter sanctions) related to Ukraine have hurt Russian economic growth; • Economy contracted about 4 percent in 2015; • World Bank: Russia will remain in recession in 2016; • Russia’s ruble down 20 percent compared to U.S. dollar by end of 2015; • Continued decline in investment expected; • Budget expenditures will drop 3 to 5 percent in 2016. Source: Currency Exchange, CNBC *1985: Roger Moore, Tanya Roberts
  • 10. I Expect You to Grow - CHINA • Growth at slowest pace in 2 decades; • World Bank predicts 6.7% economic growth for 2016 (down from 7.0% in June); • George Soros: China has “a major adjustment problem” on its hands; • Stock values fell 12 percent during first week of 2016 trading; • Government attempts to stabilize economy only made investors even more wary; • Circuit breaker system shuts down trading when losses hit a certain level; • Too restrictive and causes panic selling once breakers are turned off. Source: Currency Exchange, CNN Money *(1964) Goldfinger, misquote from Auric Goldfinger, Sean Connery, Honor Blackman
  • 11. Quantum of Solace *2008: Daniel Craig; Olga Kurylenko
  • 13. Contributions to GDP Growth by Component 2015Q2 – 2016Q1* -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 Personal Consumption Government Spending Net Exports Gross Investment 2.4 0.5 0.2 0.9 2.0 0.3 -0.3 -0.1 1.7 0.0 -0.1 -0.2 1.3 0.2 -0.3 -0.6 SAAR(%) Q2-15 Q3-15 Q4-15 Q1-16 3.9 2.0 1.4 0.5 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 GDP PercentChangefromPrecedingPeriod(SAAR) 2016Q1: +0.5% Source: Bureau of Economic Analysis *Advance (1st) Estimate
  • 15. National Nonfarm Employment by Industry Sector March 2015 v. March 2016 -139 -27 39 74 121 145 301 472 499 606 711 -300 -100 100 300 500 700 900 Mining and Logging Manufacturing Information Other Services Government Financial Activities Construction Leisure and Hospitality Trade, Transportation, and Utilities Professional and Business Services Education and Health Services Thousands, SA All told 2,802K Jobs gained Source: U.S. Bureau of Labor Statistics
  • 16. Maryland Nonfarm Employment by Industry Sector Groups (SA) March 2015 v. March 2016 Absolute Change -200 100 2,300 2,900 4,000 7,400 7,900 10,900 12,200 14,900 -1,000 1,000 3,000 5,000 7,000 9,000 11,000 13,000 15,000 Information Government Financial Activities Manufacturing Other Services Education and Health Services Trade, Transportation, and Utilities Mining, Logging, and Construction Professional and Business Services Leisure and Hospitality MD Total: +62.4K; +2.4% US Total (SA): +2,802K; +2.0% Source: U.S. Bureau of Labor Statistics *According to the Local Area Unemployment Statistics (LAUS) series MD added 53,252 jobs between March 2015 and March 2016.
  • 17. -1,000 300 700 1,100 1,800 3,500 4,300 5,600 6,000 13,200 -3,000 -1,000 1,000 3,000 5,000 7,000 9,000 11,000 13,000 15,000 Government Information Financial Activities Other Services Manufacturing Trade, Transportation, and Utilities Mining, Logging, and Construction Education and Health Services Leisure and Hospitality Professional and Business Services Baltimore-Columbia-Towson MSA Nonfarm Employment by Industry Sector Groups (NSA) March 2015 v. March 2016 Absolute Change Baltimore MSA Total: +35.5K; +2.6% MD Total (SA): +62.4K; +2.4% US Total (SA): +2,802K; +2.0% Source: U.S. Bureau of Labor Statistics
  • 18. Washington, DC-Arlington-Alexandria MSA Nonfarm Employment by Industry Sector Groups (NSA) March 2015 v. March 2016 Absolute Change -1,700 500 2,000 4,800 6,100 9,600 12,100 13,300 15,800 24,100 -5,000 0 5,000 10,000 15,000 20,000 25,000 Information Manufacturing Financial Activities Other Services Government Education and Health Services Mining, Logging, and Construction Trade, Transportation, and Utilities Leisure and Hospitality Professional and Business Services DC MSA Total: +86.6K; +2.8% US Total (SA): +2,802K; +2.0% Source: U.S. Bureau of Labor Statistics
  • 19. Employment Growth, U.S. States (SA) March 2015 v. March 2016 Percent Change RANK STATE % RANK STATE % RANK STATE % 1 IDAHO 3.6 18 MICHIGAN 2.3 33 INDIANA 1.3 2 OREGON 3.3 19 ARKANSAS 2.2 36 ALABAMA 1.2 2 UTAH 3.3 20 KENTUCKY 2.0 37 MINNESOTA 1.1 4 TENNESSEE 3.2 20 NEW JERSEY 2.0 38 IOWA 1.0 4 WASHINGTON 3.2 22 MASSACHUSETTS 1.8 38 MAINE 1.0 6 ARIZONA 3.1 22 MISSISSIPPI 1.8 38 SOUTH DAKOTA 1.0 6 GEORGIA 3.1 22 OHIO 1.8 41 CONNECTICUT 0.9 8 FLORIDA 2.9 22 RHODE ISLAND 1.8 41 MISSOURI 0.9 8 HAWAII 2.9 22 WISCONSIN 1.8 43 MONTANA 0.7 10 COLORADO 2.8 27 NEBRASKA 1.6 44 NEW MEXICO 0.3 10 NEVADA 2.8 27 NEW HAMPSHIRE 1.6 45 KANSAS 0.0 10 VIRGINIA 2.8 27 TEXAS 1.6 46 OKLAHOMA -0.4 13 SOUTH CAROLINA 2.7 30 NEW YORK 1.4 47 ALASKA -0.5 14 CALIFORNIA 2.6 30 PENNSYLVANIA 1.4 48 LOUISIANA -0.7 14 DELAWARE 2.6 30 VERMONT 1.4 48 WEST VIRGINIA -0.7 16 NORTH CAROLINA 2.5 33 DISTRICT OF COLUMBIA 1.3 50 WYOMING -3.2 17 MARYLAND 2.4 33 ILLINOIS 1.3 51 NORTH DAKOTA -4.5 Source: U.S. Bureau of Labor Statistics U.S. Year-over-year Percent Change: +2.0%
  • 20. Source: Moody’s Economy Recession Watch as of January 2016
  • 21. U.S. Unemployment Rate: 5.0% Unemployment Rates, U.S. States (SA) March 2016 Source: U.S. Bureau of Labor Statistics RANK STATE % RANK STATE % RANK STATE % 1 SOUTH DAKOTA 2.5 17 TEXAS 4.3 34 CALIFORNIA 5.4 2 NEW HAMPSHIRE 2.6 19 DELAWARE 4.4 34 RHODE ISLAND 5.4 3 COLORADO 2.9 19 MASSACHUSETTS 4.4 37 GEORGIA 5.5 4 NEBRASKA 3.0 19 NEW JERSEY 4.4 37 NORTH CAROLINA 5.5 5 HAWAII 3.1 19 OKLAHOMA 4.4 39 KENTUCKY 5.6 5 NORTH DAKOTA 3.1 23 OREGON 4.5 40 CONNECTICUT 5.7 7 VERMONT 3.3 23 TENNESSEE 4.5 40 SOUTH CAROLINA 5.7 8 MAINE 3.4 23 WISCONSIN 4.5 42 NEVADA 5.8 9 UTAH 3.5 26 MARYLAND 4.7 42 WASHINGTON 5.8 10 MINNESOTA 3.7 27 MICHIGAN 4.8 44 LOUISIANA 6.1 11 IDAHO 3.8 27 NEW YORK 4.8 45 ALABAMA 6.2 11 IOWA 3.8 29 FLORIDA 4.9 45 NEW MEXICO 6.2 13 KANSAS 3.9 29 PENNSYLVANIA 4.9 47 MISSISSIPPI 6.3 14 ARKANSAS 4.0 31 INDIANA 5.0 48 DISTRICT OF COLUMBIA 6.5 14 VIRGINIA 4.0 32 OHIO 5.1 48 ILLINOIS 6.5 16 MISSOURI 4.2 33 WYOMING 5.2 48 WEST VIRGINIA 6.5 17 MONTANA 4.3 34 ARIZONA 5.4 51 ALASKA 6.6
  • 22. Unemployment Rates, 20 Largest Metros (NSA) March 2016 Source: U.S. Bureau of Labor Statistics Rank MSA UR Rank MSA UR 1 Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area 3.8 10 Houston-The Woodlands-Sugar Land, TX Metropolitan Statistical Area 4.9 1 San Francisco-Oakland-Hayward, CA Metropolitan Statistical Area 3.8 10 Miami-Fort Lauderdale-West Palm Beach, FL Metropolitan Statistical Area 4.9 3 Boston-Cambridge-Nashua, MA-NH Metropolitan NECTA 4.0 13 New York-Newark-Jersey City, NY-NJ-PA Metropolitan Statistical Area 5.0 3 Minneapolis-St. Paul-Bloomington, MN-WI Metropolitan Statistical Area 4.0 13 Philadelphia-Camden-Wilmington, PA-NJ- DE-MD Metropolitan Statistical Area 5.0 5 Washington-Arlington-Alexandria, DC-VA-MD- WV Metropolitan Statistical Area 4.1 15 Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area 5.1 6 Tampa-St. Petersburg-Clearwater, FL Metropolitan Statistical Area 4.4 15 St. Louis, MO-IL Metropolitan Statistical Area (1) 5.1 7 Phoenix-Mesa-Scottsdale, AZ Metropolitan Statistical Area 4.5 17 Atlanta-Sandy Springs-Roswell, GA Metropolitan Statistical Area 5.2 8 San Diego-Carlsbad, CA Metropolitan Statistical Area 4.7 18 Detroit-Warren-Dearborn, MI Metropolitan Statistical Area 5.6 9 Los Angeles-Long Beach-Anaheim, CA Metropolitan Statistical Area 4.8 19 Riverside-San Bernardino-Ontario, CA Metropolitan Statistical Area 5.8 10 Baltimore-Columbia-Towson, MD Metropolitan Statistical Area 4.9 20 Chicago-Naperville-Elgin, IL-IN-WI Metropolitan Statistical Area 6.6 1. Area boundaries do not reflect official OMB definitions.
  • 23. MD County Unemployment Rates March 2016 Source: U.S. Bureau of Labor Statistics Rank Jurisdiction UR Rank Jurisdiction UR 1 Howard County 3.4 13 Talbot County 5.1 2 Montgomery County 3.5 14 Kent County 5.3 3 Carroll County 3.9 15 Caroline County 5.5 4 Anne Arundel County 4.1 16 Cecil County 5.6 4 Calvert County 4.1 17 Washington County 5.7 4 Frederick County 4.1 18 Wicomico County 6.8 7 Queen Anne's County 4.4 19 Baltimore City 7.1 8 St. Mary's County 4.5 20 Garrett County 7.2 9 Charles County 4.6 21 Allegany County 7.3 9 Harford County 4.6 22 Dorchester County 7.6 11 Prince George's County 4.8 23 Somerset County 8.2 12 Baltimore County 5.0 24 Worcester County 12.4
  • 24. Personal Income Per Capita, by MD County, 2014 Source: U.S. Bureau of Economic Analysis $0 $10,000 $20,000 $30,000 $40,000 $50,000 $60,000 $70,000 $80,000 Montgomery Howard Talbot AnneArundel Baltimore QueenAnne's Calvert Carroll Frederick Harford Charles Kent St.Mary's Worcester PrinceGeorge's Garrett BaltimoreCity Cecil Caroline Dorchester Washington Wicomico Allegany Somerset
  • 25. Fastest/Slowest Growing MD Municipalities Population Growth April 2010 – July 2014 Source: State Department of Planning, Maryland Data Center TOP 20 BOTTOM 20 Rank City/Place County % Rank City/Place County % 1 Upper Marlboro town Prince George's County 32.4% 138 Crisfield city Somerset County -2.1% 2 Leonardtown town St. Mary's County 19.3% 139 Henderson town Caroline County -2.1% 3 Gaithersburg city Montgomery County 11.6% 140 Loch Lynn Heights town Garrett County -2.2% 4 Rockville city Montgomery County 7.6% 141 Friendsville town Garrett County -2.2% 5 Emmitsburg town Frederick County 7.5% 142 Chestertown town Kent County -2.4% 6 Salisbury city Wicomico County 7.3% 143 Greensboro town Caroline County -2.5% 7 Centreville town Queen Anne's County 6.7% 144 Kitzmiller town Garrett County -2.5% 8 College Park city Prince George's County 6.1% 145 Deer Park town Garrett County -2.5% 9 Fruitland city Wicomico County 5.8% 146 Federalsburg town Caroline County -2.6% 10 Takoma Park city Montgomery County 5.7% 147 Preston town Caroline County -2.8% 11 Poolesville town Montgomery County 5.7% 148 Cumberland city Allegany County -2.9% 12 Glen Echo town Montgomery County 5.5% 149 Millington town Kent County -3.0% 13 North Chevy Chase village Montgomery County 5.4% 150 Lonaconing town Allegany County -3.1% 14 Chevy Chase View town Montgomery County 5.3% 151 Betterton town Kent County -3.2% 15 Martin's Additions village Montgomery County 5.3% 152 Frostburg city Allegany County -3.3% 16 Kensington town Montgomery County 5.2% 153 Westernport town Allegany County -3.5% 17 Washington Grove town Montgomery County 5.1% 154 Barton town Allegany County -3.7% 18 Somerset town Montgomery County 5.1% 155 Midland town Allegany County -4.0% 19 Garrett Park town Montgomery County 5.0% 156 Oxford town Talbot County -4.1% 20 Bowie city Prince George's County 4.9% 157 Trappe town Talbot County -4.4%
  • 26. License to Sell *License to Kill, 1989: Timothy Dalton; Carey Lowell
  • 27. 15-Year & 30-Year Fixed Mortgage Rates April 1995 through April 2016* Source: Freddie Mac 2.89% 3.66% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10% Apr-95 Oct-95 Apr-96 Oct-96 Apr-97 Oct-97 Apr-98 Oct-98 Apr-99 Oct-99 Apr-00 Oct-00 Apr-01 Oct-01 Apr-02 Oct-02 Apr-03 Oct-03 Apr-04 Oct-04 Apr-05 Oct-05 Apr-06 Oct-06 Apr-07 Oct-07 Apr-08 Oct-08 Apr-09 Oct-09 Apr-10 Oct-10 Apr-11 Oct-11 Apr-12 Oct-12 Apr-13 Oct-13 Apr-14 Oct-14 Apr-15 Oct-15 Apr-16 Rate 15-yr 30-yr *Week ending 4/28/2016
  • 28. Source: U.S. Census Bureau U.S. Homeownership 60% 62% 64% 66% 68% 70% 1980Q1 1981Q1 1982Q1 1983Q1 1984Q1 1985Q1 1986Q1 1987Q1 1988Q1 1989Q1 1990Q1 1991Q1 1992Q1 1993Q1 1994Q1 1995Q1 1996Q1 1997Q1 1998Q1 1999Q1 2000Q1 2001Q1 2002Q1 2003Q1 2004Q1 2005Q1 2006Q1 2007Q1 2008Q1 2009Q1 2010Q1 2011Q1 2012Q1 2013Q1 2014Q1 2015Q1 2016Q1 2016Q1:
  • 29. Source: U.S. Census Bureau U.S. Private New Multifamily Construction February 1993 through February 2016 $0 $10 $20 $30 $40 $50 $60 $70 Feb-93 Feb-94 Feb-95 Feb-96 Feb-97 Feb-98 Feb-99 Feb-00 Feb-01 Feb-02 Feb-03 Feb-04 Feb-05 Feb-06 Feb-07 Feb-08 Feb-09 Feb-10 Feb-11 Feb-12 Feb-13 Feb-14 Feb-15 Feb-16 $Billions(SAAR)
  • 30. 0% 1% 2% 3% 4% 5% 6% 7% 8% 9% 10% 1.4% 1.8% 2.1% 3.7% 5.4% 6.1% 6.2% 6.4% 6.5% 6.8% 9.0% 9.3% 9.7% 12-Month%Change S&P/Case-Shiller Home Price Indices for Select Metros February 2016, 12-Month Percentage Change Source: Standard & Poor’s
  • 31. Maryland Median Home Sale Prices March 2005 through March 2016 -20% -15% -10% -5% 0% 5% 10% 15% 20% 25% 30% Mar-05 Jun-05 Sep-05 Dec-05 Mar-06 Jun-06 Sep-06 Dec-06 Mar-07 Jun-07 Sep-07 Dec-07 Mar-08 Jun-08 Sep-08 Dec-08 Mar-09 Jun-09 Sep-09 Dec-09 Mar-10 Jun-10 Sep-10 Dec-10 Mar-11 Jun-11 Sep-11 Dec-11 Mar-12 Jun-12 Sep-12 Dec-12 Mar-13 Jun-13 Sep-13 Dec-13 Mar-14 Jun-14 Sep-14 Dec-14 Mar-15 Jun-15 Sep-15 Dec-15 Mar-16 Year-over-year%change Trend Line March 2015 v. March 2016: +2.3% Source: Maryland Association of Realtors (MAR)
  • 32. Months of Inventory by Maryland County March 2016 Source: Maryland Association of Realtors (MAR) 23.0 2.4 0 5 10 15 20 25 Maryland: 4.4 Months
  • 33. Tomorrow Never Dies *1997: Pierce Brosnan; Michelle Yeoh; Teri Hatcher
  • 34. -15.6% -2.1% 0.1% 1.2% 1.2% 1.4% 2.6% 3.4% 5.5% 6.1% 6.3% 6.5% 10.8% -20% -15% -10% -5% 0% 5% 10% 15% 20% Gasoline Stations Electronics & Appliance Stores Clothing & Clothing Accessories Stores Food & Beverage Stores General Merchandise Stores Motor Vehicle & Parts Dealers Miscellaneous Store Retailers Furniture & Home Furn. Stores Food Services & Drinking Places Sporting Goods, Hobby, Book & Music Stores Health & Personal Care Stores Internet, etc. Retailers Building Material & Garden Supplies Dealers 12-month % change Sales Growth by Type of Business March 2015 v. March 2016* Source: U.S. Census Bureau *March 2016 advanced estimate Total Retail Sales: +1.7% YOY
  • 35. Conference Board Leading Economic Indicators Index August 2007 through March 2016 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 Nov-14 Feb-15 May-15 Aug-15 Nov-15 Feb-16 One-monthPercentChange March 2016: 123.4 where 2010: 100
  • 36. Dr. Know • Not a Happy New Year so far. Everyone knows about China, etc. and N.Korea, but we have problems right here; • Corporate profit margins are slipping and interest rates are likely on the rise – does not sound like a great recipe for stock prices or for corporate investment; • Only the consumer is really contributing significantly to growth, with state and local government spending playing a supporting role; • Job growth should remain decent in the near-term – we ended 2015 with a near-record in total job openings; • Maryland is in better shape – we don’t produce oil or natural gas, we don’t export very much, cyber- security is a legitimate growth industry, and a new Speaker of the House should be able to avert near- term federal fiscal catastrophe; and • We may be transitioning very quickly from the mid-cycle stage of the recovery to the late-stage: 2017- 18 outlook very murky. *1962: Sean Connery; Ursula Andress
  • 37. Thank You  Follow us on Twitter @SagePolicyGroup  You can always reach me at abasu@sagepolicy.com  Please look for updates of information at www.sagepolicy.com.  Also, if you need us in a hurry, we are at 410.522.7243 (410.522.SAGE)  Please contact us when you require economic research & policy analysis.

Notes de l'éditeur

  1. (1999)
  2. http://www.eia.gov/dnav/pet/pet_pri_fut_s1_d.htm
  3. https://www.iea.org/oilmarketreport/omrpublic/ https://www.iea.org/oilmarketreport/schedule/
  4. http://www.worldbank.org/en/research/commodity-markets
  5. https://www.quandl.com/data/LLOYDS/BDI-Baltic-Dry-Index Baltic Dry Index. Source: Lloyd's List. The Baltic Dry Index (BDI) is a measure of the price of shipping major raw materials such as metals, grains, and fossil fuels by sea. It is created by the London Baltic Exchange based on daily assessments from a panel of shipbrokers. The BDI is a composite of 3 sub-indices, each covering a different carrier size: Capesize, Panamax, and Supramax. Capesize carriers are the largest ships with a capacity greater than 150,000 DWT. Panamax refers to the maximum size allowed for ships travelling through the Panama Canal, typically 65,000 - 80,000 DWT. The Supramax Index covers carriers with a capacity of 50,000 - 60,000 DWT.
  6. CPI: http://www.wsj.com/articles/brazil-inflation-reaches-highest-level-in-13-years-1452252895 Boletin Focus: http://latino.foxnews.com/latino/news/2016/01/04/brazil-economy-to-contract-nearly-3-pct-in-2016-analysts-say/ Real: http://qz.com/575530/the-real-is-slumping-hard-as-brazils-economy-collapses/ USD per 1 BRL—January 1st 2015 v. January 1st 2016: -32.9% (0.37629 to 0.25254) http://www.xe.com/currencycharts/?from=BRL&to=USD&view=1Y
  7. http://thumbnails.cnbc.com/VCPS/Y2013/M05D31/3000171284/6ED2-CB-DavidBarse0531.jpg Ruble: USD per 1 RUB—January 1st 2015 v. January 1st 2016: -20.4% (0.01721 to 0.0137) http://www.xe.com/currencycharts/?from=RUB&to=USD&view=2Y
  8. Yuan: http://www.xe.com/currencycharts/?from=CNY&to=USD&view=2Y# http://www.bloomberg.com/news/articles/2016-01-06/world-bank-sees-global-growth-sputtering-along-amid-china-slump-ij392sat http://www.dw.com/en/the-good-and-bad-of-chinas-economy-in-2015/a-18918678 https://www.washingtonpost.com/world/asia_pacific/chaos-in-chinese-stock-market-sends-economic-waves-around-the-world/2016/01/07/998c58ec-b566-11e5-a842-0feb51d1d124_story.html http://i2.cdn.turner.com/money/dam/assets/150707143539-china-stocks-selloff-1024x576.jpg
  9. (1999)
  10. Q3 First Estimate Release: http://www.bea.gov/newsreleases/national/gdp/gdpnewsrelease.htm
  11. Table 1.1.2. Contributions to Percent Change in Real Gross Domestic Product
  12. May news release: http://www.bls.gov/news.release/empsit.nr0.htm US Total Nonfarm (SA): CES0000000001 U.S. Unemployment Rate LNS14000000
  13. Series ID are in excel linked to chart MD Total Nonfarm: SMS24000000000000001 US Total Nonfarm (SA): CES0000000001 MD LAUS (SA): LASST240000000000005
  14. Series ID are in excel linked to chart Baltimore MSA Total Nonfarm: SMU24125800000000001 US Total Nonfarm (SA): CES0000000001
  15. Series ID are in excel linked to chart DC MSA Total Nonfarm: SMU11479000000000001 US Total Nonfarm (SA): CES0000000001
  16. US Total Nonfarm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
  17. U.S. Unemployment Rate LNS14000000 LASST01000003 LASST02000003 LASST04000003 LASST05000003 LASST06000003 LASST08000003 LASST09000003 LASST10000003 LASST11000003 LASST12000003 LASST13000003 LASST15000003 LASST16000003 LASST17000003 LASST18000003 LASST19000003 LASST20000003 LASST21000003 LASST22000003 LASST23000003 LASST24000003 LASST25000003 LASST26000003 LASST27000003 LASST28000003 LASST29000003 LASST30000003 LASST31000003 LASST32000003 LASST33000003 LASST34000003 LASST35000003 LASST36000003 LASST37000003 LASST38000003 LASST39000003 LASST40000003 LASST41000003 LASST42000003 LASST44000003 LASST45000003 LASST46000003 LASST47000003 LASST48000003 LASST49000003 LASST50000003 LASST51000003 LASST53000003 LASST54000003 LASST55000003 LASST56000003
  18. Please make sure all unemployment rates have the same number of decimals (ex. 8.0 rather than just 8) http://www.bls.gov/lau/ Tables: Unemployment Rates for Large Metropolitan Areas
  19. Please make sure all unemployment rates have the same number of decimals (ex. 8.0 rather than just 8)
  20. Source: Department of Planning, Maryland Data Center, (Table 4. Population estimates for Incorporated Places in Maryland Within County)
  21. Weekly: http://www.freddiemac.com/pmms/archive.html Monthly 30 yr: http://www.freddiemac.com/pmms/pmms30.htm Monthly 15 yr: http://www.freddiemac.com/pmms/pmms15.htm
  22. http://www.census.gov/housing/hvs/ http://www.census.gov/econ/currentdata/dbsearch?program=HV&startYear=1956&endYear=2015&categories=RATE&dataType=RVR&geoLevel=US&adjusted=0&notAdjusted=1&errorData=
  23. https://www.census.gov/construction/c30/c30index.html
  24. http://www.spindices.com/index-family/real-estate/sp-case-shiller The S&P/Case-Shiller Home Price Indices are calculated monthly using a three-month moving average. Index levels are published with a two-month lag and are released at 9 am EST on the last Tuesday of every month. Index performance is based on non-seasonally adjusted data.
  25. http://www.census.gov/retail/ Table 2
  26. *MUST START AT AUGUST 2007 https://www.conference-board.org/data/bcicountry.cfm?cid=1 This month's release incorporates annual benchmark revisions to the composite economic indexes, which bring them up-to-date with revisions in the source data. These revisions do not change the cyclical properties of the indexes. The indexes are updated throughout the year, but only for the previous six months. Data revisions that fall outside of the moving six-month window are not incorporated until the benchmark revision is made and the entire histories of the indexes are recomputed. As a result, the revised indexes, in levels and month-on-month changes, will not be directly comparable to those issued prior to the benchmark revision. For more information, please visit our website at: www.conference-board.org/data/bci.cfm or contact us at: indicators@conference-board.org This month's release incorporates annual benchmark revisions to the composite economic indexes, which bring them up-to-date with revisions in the source data. Also, with this benchmark revision, the base year of the composite indexes was changed to 2010 = 100 from 2004 = 100. These revisions do not change the cyclical properties of the indexes. December Press Release: https://www.conference-board.org/pdf_free/press/PressPDF_5370_1422007649.pdf https://www.conference-board.org/pdf_free/press/TechnicalPDF_5370_1422007211.pdf For more information, please visit our website at: www.conference-board.org/data/bci.cfm or contact us at indicators@conference-board.org http://www.conference-board.org/pdf_free/press/PressPDF_5347_1418896809.pdf