Glenn R. Mueller, Ph.D. Professor University of Denver Franklin L. Burns School of Real Estate & Construction Management & Real Estate Investment Strategist Dividend Capital Research [email protected]
Jan 18, 2015
Glenn R. Mueller, Ph.D.Professor
University of DenverFranklin L. Burns School of Real Estate
& Construction Management&
Real Estate Investment Strategist
Dividend Capital Research
Dr. Glenn Mueller• Real Estate Investment Strategist – Dividend Capital Group
Professor – University of Denver – Franklin L. Burns School of Real Estate & Construction Management
Visiting Professor – Harvard University, 2002-2012 & summer executive education semesters
Guest Lecturer – Wharton School, Yale, Berkeley, Ohio State, Indiana Univ., UNC, USC, European Business School, University of Regensburg
Previous Experience Legg Mason – Real Estate Investment Strategist – Head of REIT research group
PriceWaterhouseCoopers – National Director of Real Estate Research
Alex. Brown Kleinwort Benson – Head of Real Estate Research
Prudential Real Estate Investors – Vice President of Real Estate Research
B.S.B.A. in finance from the University of Denver
MBA from Babson College
Ph.D. in Real Estate from Georgia State University
Why Real Estate Fits a Portfolio = SIZE
Source: CoStar2010, Federal Reserve, December 2010 and The Bond Market Association, 2010. This investment is subject to real estate risks associated with operating and leasing properties. Additional risks include changes in economic conditions, interest rates, property values, and supply and demand, as well as possible environmental liabilities, zoning issues and natural disasters.
U.S. Real Estate vs. Other Asset Classes (December 2010)
Why Real Estate Fits A Portfolio = SizeU.S. Real Estate vs. Other Asset Classes - 12/10
All Real Estate = Half - 12/06
Source: Prudential Real Estate Investors, December 2006.
U.S. Real Estate Values = $33.3 Trillion
5 Key Macro Economic FactorsPopulation Growth
Demand For Real Estate Employment growth lags GDP growth by 2 to 4 quarters GDP turned positive in 3Q09 — Employment turned positive in 2Q 2010
Forecast
US Commercial Real Estate CycleFollows US Economic Cycles
3 Key Metrics:• Occupancies
• Rents• Prices
Source: Glenn Mueller, PhD
Market Cycle Analysis
Physical Cycle
Demand & Supply drive Occupancy
Occupancy drives Rental Growth
Legg Mason Real Estate Research
Market Cycle Quadrants
Declining Vaca
ncy New
Construction
No New Constructio
n
Increasing
Vacancy
Declining Vacancy
Increasing
Vacancy
More C
ompletions
New Constr
uction
Phase 1 - Recovery
Phase 2 - Expansion
Phase 4 - Recession
Demand/Supply Equilibrium Point
Long Term Vacancy Average
Occ
upan
cy
Time
Phase 3 - Hypersupply
PhysicalMarket Cycle
Characteristics
Negative Rental Growth
Below Inflation Rental Growth
Rents Rise Rapidly Toward New Construction Levels
High Rent Growth in Tight Market
Demand/Supply Equilibrium
Rent Growth Positive But Declining
-Below Inflation & Negative Rent Growth
Cost Feasible New
Construction RentsLong Term Average Occupancy
Occ
up
ancy
Time
Phase 1 - Recovery
Phase 2 - Expansion
Phase 3 - Hypersupply
Phase 4 - RecessionSource: Mueller,1995
2
54
3
89
7
10
16
15
13
1
6
11
14
1
12
0.3%
2.7%
-3.0%
-1.5%
1.7%
4.0%
6.4%
11.0%
12.5%
10.5%
6.7%
-1.0%
1.6%
3.3%
6.1%
10.0%
Historic National Office Rental Growth
30 Year Cycle - Periods 1968-1997
Long Term Average Occupancy
Occ
upan
cy
Time
2
54
3
89
7
10
16
15
13
1
6
11
14
1
12
-2.1%
Historic National Industrial Rental Growth %
0.4%
0.8%
2.8%
3.0%
4.6%
5.1%
8.3%
8.5%
6.8%
3.8%
-0.4%
0.7%
4.8%
4.6%
5.9%
30 Year Cycle - Periods 1968-1997
Long Term Avg Occupancy
Occ
upan
cy
Time
National Property Type Cycle Locations
2nd Qtr 2013
LT Average Occupancy
Source: Mueller, 2013
Phase II — Expansion
Phase I — Recovery
Phase III — Hypersupply
Phase IV — Recession
11
1467
89
10 12
13
1165421
15
Industrial — WarehouseSenior Housing
ApartmentHealth FacilityHotel — Ltd. ServiceRetail — 1st Tier Regional MallRetail — Factory Outlet+1
Office — SuburbanRetail — Power Center+1
Office — Downtown+1
3
Hotel — Full-Service
Industrial — R&D FlexRetail — Neighborhood/Community+1
LT Average Occupancy
Source: Mueller, 2013
11
146
89
1012
115
1654321
Office Market Cycle Analysis2nd Quarter, 2013
AlbuquerqueChicagoClevelandEast BayHartfordLas VegasLong IslandLos Angeles MilwaukeeNorfolkN. New JerseySacramentoSan AntonioStamfordWilmingtonWash DC
713
CincinnatiColumbusDetroit Ft. Lauderdale+1IndianapolisKansas City+1MemphisOrange CountyPalm BeachPhoenix+1RichmondSan DiegoSt. Louis+1NATION
AtlantaBaltimore+1BostonCharlotteDallas FWDenverHoustonMiami+1 MinneapolisNew Orleans+1NashvilleOklahoma CityOrlando+1Philadelphia+1RiversideSeattle+1Tampa
AustinHonoluluNew York+1Salt Lake
PittsburghPortland+1Raleigh-Durham+1San Francisco+2
Jacksonville+1San Jose
Denver+1Salt Lake+1San Francisco+1
Source: Mueller, 2013
1467
89
10 12
13
115
1654321
LT Average Occupancy
Industrial Market Cycle Analysis
11
HartfordJacksonvilleLas Vegas+1
New Orleans+1Orlando
Richmond+1Stamford
Charlotte+1Kansas City+1
Memphis+1Milwaukee
Miami+1Nashville+2
New York+1 N. New JerseyOklahoma City
PhoenixNATION
Atlanta+1Boston+1BaltimoreCincinnatiClevelandColumbus+2 DetroitEast BayPhiladelphiaRaleigh-DurhamTampaWash DC
Austin+1Palm Beach+2
Portland+1San Antonio+1
Seattle+1
Long IslandNorfolkOrange CountySacramentoSt. Louis
HonoluluHoustonIndianapolisLos AngelesRiversideSan Jose
2nd Quarter, 2013
Chicago+1Dallas FW+2Ft. Lauderdale+1MinneapolisPittsburghSan Diego+1
Source: Mueller, 2013
11
1467
89
10 12
115
165421
LT Average Occupancy
Apartment Market Cycle Analysis
13
CharlotteCleveland
Indianapolis+1Jacksonville
Oklahoma CityOrlando
Raleigh-DurhamStamfordSt. Louis
TampaNorfolk
MemphisRichmondSan Antonio
Atlanta+1Houston Ft. LauderdaleMilwaukeeNew Orleans+1Orange County
Baltimore+1Columbus+1CincinnatiHartfordHonoluluKansas CityLos AngelesMinneapolisPhiladelphia PittsburghRiversideSacramento+1NATION
DetroitNashville
Palm Beach+1
Chicago+1East Bay
Las Vegas+1Long Island
MiamiN. New Jersey+1
Portland+1Salt Lake+1
San DiegoSeattle +5Wash DC
Boston+1Dallas FW+1DenverNew YorkPhoenix+1San Jose+1
3
AustinSan Francisco
2nd Quarter, 2013
Source: Mueller, 2013
11
1467
89 12
13
115
1654321
Retail Market Cycle Analysis
10
LT Average Occupancy
AtlantaChicagoCincinnatiKansas CityMilwaukeeN. New Jersey PhiladelphiaRichmondRiverside
CharlotteColumbusDallas FW+1Ft. Lauderdale+1JacksonvilleMemphisNashvilleNew Orleans+1NorfolkOklahoma City+1Orange CountyOrlandoPhoenix+1Sacramento+1St. LouisTampa
Denver+1East BayHoustonLong Island+1 Los Angeles +1Portland+1Raleigh-Durham+1 Seattle
ClevelandDetroit
Austin+1Baltimore+1
Miami+2Minneapolis+1
San DiegoHartfordIndianapolisLas Vegas+1Palm BeachNATION+1
Boston+1New York+1
PittsburghSalt LakeWash DC
2nd Quarter, 2013
Honolulu+1San Francisco+1San Jose+1
San Antonio+1Stamford
CincinnatiHartford
Kansas CityNorfolk
Phoenix Richmond
Sacramento
Source: Mueller, 2013
1467
89 12
13
115
165
4321
1110
LT Average Occupancy
Hotel Market Cycle Analysis
AtlantaBaltimoreCharlotte
ClevelandDetroit+1
Orange County
Austin+1Boston+1Denver+1Houston+1Long IslandOrlandoSan DiegoWash DC
IndianapolisMemphis
MilwaukeeRiversideStamford
ColumbusDallas FWJacksonvilleLas VegasOklahoma City+1Raleigh-DurhamSt. LouisSan Antonio
PhiladelphiaSalt Lake Tampa
ChicagoLos Angeles+1Minneapolis+1
East BayNashville
New OrleansPittsburgh+1
Seattle+1NATION
HonoluluNew York
2nd Quarter, 2013
Ft. Lauderdale+1Miami
N. New Jersey+1Palm Beach+1
Portland+1San Francisco+1
San Jose+1
1970s Cycle• Factors Driving The First Half Cycle (5 Year)
• Strong Demand from the 1960s that stopped
• Recession 1974
• Capital Flow - Mortgage REITs produced oversupply
• Factors Driving The Second Half Cycle (5 Year)• Baby Boom Generation Goes to Work = Demand
• Capital Flow Shut Down = no supply = Lenders Recover
• Markets tighten and reach peak occupancy 1979 (5% vacancy)
1970s Office Demand & Supply
0%
2%
4%
6%
8%
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
Demand Supply
Source: FW Dodge, CB Commercial, BLS, Mueller
Oversupply Years Baby Boomers Go To Work
1980s Cycle• Factors Driving The First Half Cycle (5 Year)
• Tight market in 1979 pushes rents and prices up
• Inflation pushes real estate prices higher
• Tax Act of 1981 attracts taxable investors supply up
• Thrift Deregulation allows capital to flow
• Factors Driving The Second Half Cycle (5 Year)• Tax Act of 1986 slows taxable investors, but not tax free
• Poor stock market attracts Pension & Foreign capital
• Rising R.E. prices masks poor income returns
1980s Office Demand & Supply
0%
2%
4%
6%
8%
10%
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
Demand Supply
Source: FW Dodge, CB Commercial, BLS, Mueller
Oversupply Years
1990s Cycle• Factors Driving The First Half Cycle (5 Year)
• Moderate but stable demand growth (1991 recession minor)
• Oversupply and Foreclosures shut down construction
• Excess space Absorbed – “Markets Recover”
• Factors Driving The Second Half Cycle (5 Year)• Moderate Demand growth Continues
• Oversupply Absorbed and Return Performance improves
• Construction “Constrained” causing rents & prices to rise
• More “Efficient Markets” match supply to demand
1990s Office Demand & Supply
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%19
90
1991
1992
1993
1994
1995
1996
1997
1998
1999
Demand Supply
Source: FW Dodge, CB Commercial, BLS, Mueller
Oversupply Absorbed
Demand Supply
Matched
2000 - 2010 CycleDemand•
“Globalization” - creates more stable U.S. economy
• Job Growth out of “Technology Change”
• 2.8 million population growth per year for 10 years
• Baby boomers at “highest income earning” years
• second home market wave
• Echo boom children – college, first job, & renting
• Aging population not a major factor till 2014
• Employment Growth drives commercial demand
World Growth Continues
Source: World Bank — Historic GDP, Capital Economics Outlook Report — Forecasts, 3Q2011.
World GDP Shares 2011 & 2012 GDP Forecasts
U.S. Growth driven by World
Supply Constraint• Public Markets make R.E. Capital markets efficient
• Economically Driven capital - low spec construction
• 500 + Research Watchdogs – Data Available
• Constrained Supply (economically driven capital)
• construction labor harder to find
• materials costs increasing (steel, concrete)
• infrastructure problems constrain growth
• Feedback loop keeps demand and supply in better balance
• Greater transparency
• Faster reaction to demand slowdown
2000 - 2010 Cycle
Source: Property & Portfolio Research & Mueller
Commercial Real Estate Supply Growth– Lowest construction levels in 42 years
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
-3%
-2%
0%
1%
2%
3%2000's Office Demand & Supply
Demand Supply
2000s US Office Demand & Supply
Supply Reacted to Demand Slow Down
Source: Property & Portfolio Research, Grubb & Ellis, Mueller 2011.
2012+ Office Demand & Supply Forecast
Source: Property & Portfolio Research, Grubb & Ellis, Mueller 2011.
2011 2012 2013 2014 2015
-1%
0%
1%
2%
3%2012+ Office Demand & Supply Forecast
Demand SupplyDemand Avg. = 1.51%Supply Avg. = 0.81%
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
-8.0%
-6.0%
-4.0%
-2.0%
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
84
86
88
90
92
Office Cycle
Rent Growth Occupancy
Occupancy Cycle and Rent Growth
Sources: Property and Portfolio Research, Grubb & Ellis, Mueller 2012.
AlbuquerqueBostonCincinnatiColumbusDallas FWDenverEast BayIndianapolisMemphisMiamiNorfolkPhiladelphiaPhoenix+1RichmondSan Antonio+2San DiegoNATION
Source: Mueller, 2013
11
1467
89
10 12
13
115
164321
2nd Quarter, 2014 Estimates
LT Average Occupancy
Office Market Cycle FORECAST
HartfordN. New JerseyStamfordWash DC
BaltimoreCharlotteHouston
MinneapolisNew Orleans
AtlantaChicago
ClevelandDetroit
Ft. LauderdaleKansas City
Las VegasLong IslandLos AngelesMilwaukeeSacramento
St. Louis
AustinHonolulu
Jacksonville+1Nashville+1Oklahoma City+2Portland+1Riverside
5 New York+1PittsburghRaleigh-DurhamSan Francisco+2
Salt Lake
Orange County+1OrlandoPalm BeachSan JoseSeattleTampa
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
-6.0%
-4.0%
-2.0%
0.0%
2.0%
4.0%
6.0%
8.0%
88.0
89.0
90.0
91.0
92.0
93.0
94.0
95.0
96.0
Industrial Cycle
Rent Growth Occupancy
Occupancy Cycle and Rent Growth
Sources: Property and Portfolio Research, Grubb & Ellis, Mueller 2012.
Source: Mueller, 2013
11
14
89
10 12
13
115
16531
LT Average Occupancy
Industrial Market Cycle FORECAST
4
Long Island
2ClevelandColumbus+1Las Vegas+1New Orleans+2NorfolkOrange CountyStamfordWash DC
RichmondSacramento
St. Louis
Atlanta+1BaltimoreBoston+1Charlotte
CincinnatiDetroit
East BayJacksonvilleKansas CityMilwaukee
Nashville+1 Orlando+1
PhiladelphiaRaleigh-Durham
Tampa
Hartford+1Memphis+1Miami+1New York+1Oklahoma CityPhoenixPittsburgh+1San DiegoNATION
Chicago+1Dallas FW+1Ft. Lauderdale+1Minneapolis+1 N. New JerseyPalm Beach+1
Austin+1Riverside San Antonio+1
HonoluluHoustonIndianapolisPortland+1Salt LakeSan FranciscoSeattle+1
76
Denver+2Los AngelesSan Jose+1
2nd Quarter, 2014 Estimates
Occupancy Cycle and Rent Growth
Sources: Property and Portfolio Research, Grubb & Ellis, Mueller 2012.
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
0.0%
200.0%
400.0%
600.0%
800.0%
1000.0%
1200.0%
91.5
92.5
93.5
94.5
Apartment Cycle
Rent Growth Occupancy
Raleigh-Durham
Source: Mueller, 2013
11
146
89
10 12
13
115
164321
LT Average Occupancy
Apartment Market Cycle FORECAST
CharlotteClevelandIndianapolisMemphisOklahoma CityRichmond
Norfolk
5
Ft. LauderdaleHouston
MilwaukeeNew Orleans+1
OrlandoPalm Beach
St. LouisStamford
Tampa
Atlanta+1AustinJacksonville+1NashvilleOrange CountyRiversideSan AntonioSan JoseWash DC
Baltimore+1CincinnatiColumbus
DetroitDenver
Kansas CityMinneapolis
Seattle+3 NATION
ChicagoDallas FWHartfordHonoluluLong Island Los AngelesMiami N. New JerseyPhiladelphiaPhoenix+1PittsburghPortlandSacramento+1Salt Lake+1
Boston East BayLas Vegas+2New YorkSan DiegoSan Francisco-1
7
2nd Quarter, 2014 Estimates
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
-8.0%
-6.0%
-4.0%
-2.0%
0.0%
2.0%
4.0%
6.0%
91
91.5
92
92.5
93
93.5
94Retail Cycle
Rent Growth Occupancy
Occupancy Cycle and Rent Growth
Sources: Property and Portfolio Research, Grubb & Ellis, Mueller 2012.
Source: Mueller, 2013
11
147
910 12
13
115
164321
LT Average
Retail Market Cycle FORECAST
6Occupancy
AtlantaChicago
DetroitKansas CityMilwaukee
New OrleansN. New Jersey
PhiladelphiaRichmondRiverside
SacramentoSt. Louis
CharlotteColumbusDallas FW+1Ft. LauderdaleJacksonvilleMemphisNashvilleNorfolkOklahoma City+1Orange CountyPhoenixTampa
Stamford
ClevelandCincinnati
Denver+2East BayHouston
Long Island+1Los Angeles
Miami+1Portland+1
Raleigh-Durham+1 Seattle
Austin+1Baltimore+1 Boston+1Minneapolis+1New YorkSan Diego
Pittsburgh+1Salt LakeWash DC
HartfordIndianapolis
Las Vegas+1 Orlando
Palm BeachSan Antonio
NATION
5
8
2nd Quarter, 2014 Estimates
Honolulu+1San Francisco+1San Jose+1
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
-9.0%
-7.0%
-5.0%
-3.0%
-1.0%
1.0%
3.0%
5.0%
7.0%
5700.0%
6000.0%
6300.0%
6600.0%
6900.0%
Hotel Cycle
Rent Growth Occupancy
Occupancy Cycle and Rent Growth
Sources: Property and Portfolio Research, Grubb & Ellis, Mueller 2012.
CincinnatiHartfordRichmondSacramento LT Average Occupancy
Source: Mueller, 2013
11
1467
89
10 12
13
115
1654321
Hotel Market Cycle FORECAST
Dallas FWOklahoma City+1
Columbus+1 IndianapolisJacksonville+1MemphisMilwaukeePhoenix+1Raleigh-Durham+1Riverside+1San AntonioStamfordSt. Louis
AtlantaBaltimoreClevelandCharlotte Detroit+1Las VegasMinneapolisOrange CountyTampa
Kansas CityNorfolk
Boston+1Ft. LauderdaleOrlandoPalm Beach +1Portland+1San DiegoSan Jose
Long IslandNashvilleOaklandPhiladelphiaPittsburghSalt LakeSeattle
Austin+2ChicagoDenver+1East BayHouston+1 Los Angeles+1MiamiNew OrleansN. New JerseyWash DC NATION
Honolulu+1New York+1
2nd Quarter, 2014 Estimates
San Francisco+1
Market Information
used to:• Determine market competition• Set lease strategies• Evaluate improvement programs• Provide knowledge
Real Estate Financial Cycles
Capital Flows
Affect Prices
Hyper Supply
LT Occupancy Avg.
Market Cycle Capital Flow Impact
Capital Flows to Existing Properties
Capital Flows to New Construction
Total Capita
l Flow CycleProperty M
arket Cycle
Cost Feasible Rents Reached
National Office Physical Market Cycle vs. Financial Cycle = New Permit Values
80
84
88
92
96
1972 1976 1980 1984 1988 1992 1996 2000 2004
Oc
cu
pa
nc
y
15,000
20,000
25,000
30,000
35,000
40,000
45,000
50,000
55,000
60,000
65,000
Va
lue
($M
il)
Market Cycle PermitSource: CB Commercial, Census Bureau
Physical
Financial
Source: BEA, CB Commercial, Mueller
6 year lag
No Lag
-10,000
-5,000
0
5,000
10,000
15,000
20,000
25,000
1970
Q1
1972
Q1
1974
Q1
1976
Q1
1978
Q1
1980
Q1
1982
Q1
1984
Q1
1986
Q1
1988
Q1
1990
Q1
1992
Q1
1994
Q1
1996
Q1
1998
Q1
2000
Q1
Flow of Funds Commercial MortgagesAll Sectors (1976 - 2001)
False Price AppreciationSupport
?
($ M
ils)
Source: Federal Reserve
Public MarketVolatility
Bond Values DROP as Interest Rates Rise
10 Year Treasury Yields 1953 - 2011
* As of 2013Source: U.S. Treasury — Federal Reserve Bank of St. Louis.
LT Average 6.29%
Average Total Return 80-10 = 8.6%
Average Total Return 53-70 = 1.9%
Average Total Return 53-80 = 3.9%
Commercial and Residential Real Estate Bubbles[1]
[1] S&P/Case-Shiller Housing Price Index CS-10 (residential price index); Moody’s/REAL Commercial Price Index (commercial price index).
Moody’s/RCA CPPI
http://www.rcanalytics.com
US Commercial Property Prices
$-
$20,000,000,000
$40,000,000,000
$60,000,000,000
$80,000,000,000
$100,000,000,000
$120,000,000,000
$140,000,000,000
$160,000,000,000
80.00
100.00
120.00
140.00
160.00
180.00
Sales Volume Property Prices
01Q1
01Q3
02Q1
02Q3
03Q1
03Q3
04Q1
04Q3
05Q1
05Q3
06Q1
06Q3
07Q1
07Q3
08Q1
08Q3
09Q1
09Q3
10Q1
10Q3
11Q1
11Q3
12Q1
12Q3
13Q1
-
20,000,000,000
40,000,000,000
60,000,000,000
80,000,000,000
100,000,000,000
120,000,000,000
140,000,000,000
160,000,000,000
Individual Portfolio
Portfolio Buyers Dominate Trades
Source: Real Capital Analytics April 2013
Property Price MovementsCap Rates
Source: Real Estate Research Corporation - Chicago
8.5 Office - CBD8.9 Office - suburban8.5 Industrial - Warehouse9.0 Industrial - R&D8.0 Apartments
Property Price Movements
Source: Real Estate Research Corporation - Chicago
10.2 Hotels7.9 Regional Mall8.9 Power Center8.7 Neighborhood Comm.
19
89
19
89
19
90
19
91
19
92
19
92
19
93
19
94
19
95
19
95
19
96
19
97
19
98
19
98
19
99
20
00
20
01
20
01
20
02
20
03
20
04
20
04
20
05
20
06
20
07
20
07
20
08
20
09
20
10
20
10
20
11
6
7
8
9
10
11
12Historic Cap Rates
Hotels Regional Mall Power Center Neighborhood Comm.
Transaction Cap Rates - RCA
Properties and portfolios $2.5 million and greater. Prior to 2005, RCA primarily captured sales valued at $5M and above.© Real Capital Analytics, Inc. 2013. Data believed to be accurate but not guaranteed. Last Updated: 6/27/2012
F A J A O D F A J A O D F A J A O D F A J A O D F A J A O D F A J A O D F A J A O D F A J A O D F A J A O D F A J A O D F A J A O D F A J A O D F A2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
5.5%
6.0%
6.5%
7.0%
7.5%
8.0%
8.5%
9.0%
9.5%
10.0%
Apartment Avg Cap Rate Industrial Avg Cap Rate Retail Avg Cap Rate Office Avg Cap Rate
http://www.rcanalytics.com
Cap Rate SPREAD over 10 Year Treasury
CBD Office & Apartments Leading Price Recovery
http://www.rcanalytics.com
Moody’s/RCA Price Indices to 2-13
200020012001200220022003200320042004200520052006200620072007200820082009200920102010201120112012201280.00
100.00
120.00
140.00
160.00
180.00
200.00
220.00
Retail Industrial Office - CBD Office - Suburban Office
Apartment
http://www.rcanalytics.com
Investors Starting to Move Beyond Major MarketsMoody’s/RCA Price Indices to 2-13
2000 2001 2002 2002 2003 2004 2004 2005 2006 2006 2007 2008 2008 2009 2010 2010 2011 2012 201280
100
120
140
160
180
200
220
Major Markets (All-Property) National All-Property Non-Major Markets (All-Property)
http://www.rcanalytics.com
Next Favored Tier of Markets EmergingRegion/Market Year-Over-Year Price Change Now as % of Peak
BostonNew York Metro
NYC-ManhattanNYC-BoroughsNYC-Burbs
DC MetroPhilly/BaltimoreNEMA Others
NEMA RegionMiami/South FloridaTampa/Southw est FloridaOrlando/Central FloridaJacksonville/North FloridaAtlantaSoutheast ex Florida/Atlanta
Southeast RegionChicagoMidw est ex Chicago
Midwest RegionDenverDallas/Houston/AustinPhoenixSouthw est Others
Southwest RegionSeattleSan Francisco Metro
SF-San FranciscoSF-San JoseSF-Oakland
Los Angeles MetroLA-CBDWestLA-OrangeCountyLA-ValleyVenturaLA-InlandEmpireLA-LongBeach
San DiegoSacramento/Central CALas VegasWest Others
West RegionUS Total
All Property Types. Data through Q3'12. Peak pricing benchmarked to Q4'07
-2%8%
23%2%
-12%4%
1%3%
6%16%
-13%16%
8%5%
10%7%6%
-1%2%
10%10%
24%6%
9%8%9%
14%30%
-16%-4%
-6%-5%
3%-18%
3%-2%
16%12%
-23%0%
7%
92%94%
98%99%
70%97%
84%84%
92%77%
63%80%
64%63%
90%74%
85%68%
74%86%87%
57%82%83%
91%89%94%
87%75%75%
83%68%
77%62%
83%73%
63%37%
65%74%74%
Miami
Phila
Seattle
Dallas Houston
50
75
100
125
150
175
200
225
'01
'02
'03
'04
'05
'06
'07
'08
'09
'10
'11
'12
PhoenixAtlanta
Las Vegas
50
75
100
125
150
175
200
225
'01
'02
'03
'04
'05
'06
'07
'08
'09
'10
'11
'12
http://www.rcanalytics.com
Next Favored Tier of Markets Emerging
Rebounding Still Challenged
RCA CPPI
http://www.rcanalytics.com
Composition of CRE Buyers
'07 '08 '09 '10 '11 '12 H1 '13
3% 6% 6% 8%5% 5% 5%
20% 13%10%
13%14%
17%12%
9%9%
7%
8% 10%8%
9%
10%9%
7%
17% 18% 14% 24%
3% 9%
15%
10% 6%7%
5%
25%
10%
5%
14% 17%
12%9%
31%
43%50%
30% 30%
37% 37%
NT REITs Instit Cross-Border REITs User/Other Eq Fund Private
Institutional
Private
Equity Fund
Cross-Border
User/Other
Non-Listed REIT
Public/REIT
-$10,000,000,000 $0 $10,000,000,000
All Property Buyers2012 Net Change To Portfolio Holdings
1%
23%
6%
14%
7%
16%
10%
22%
ALL Property Type Lenders Originations by Volume 2012
Private
Gov't Agency
Financial
Insurance
Int'lBank
National Bank
Reg'l/Loc Bank
CMBS
Lending Composition & Owner Changes
Source: Real Capital Analytics, 2013
Composition of Lenders
http://www.rcanalytics.com
Debt Capital: Credit Conditions Improving
http://www.rcanalytics.com
US Distress – Past The Peak
J '08
FMAMJJASONDJ '09
FMAMJJASONDJ '10
FMAMJJASONDJ'11
FMAMJJASONDJ'12
FMAMJJASONDJ'13
FMAM
$0
$50,000,000,000
$100,000,000,000
$150,000,000,000
$200,000,000,000
$250,000,000,000
$300,000,000,000
$350,000,000,000
$400,000,000,000
$450,000,000,000
Total Outstanding Distress
Troubled REO Restructured Resolved
J '08
FMAMJJASONDJ '09
FMAMJJASONDJ '10
FMAMJJASONDJ'11
FMAMJJASONDJ'12
FMAMJJASONDJ'13
FMAM
-$15,000,000,000
-$10,000,000,000
-$5,000,000,000
$0
$5,000,000,000
$10,000,000,000
$15,000,000,000
$20,000,000,000
$25,000,000,000
Monthly Additions -Workouts -Net Change
19
88
19
89
19
90
19
91
19
92
19
93
19
94
19
95
19
96
19
97
19
98
19
99
20
00
20
01
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
20
11
20
12
20
13
0
50
100
150
200
250
CMBS Issuance $ Billions
Source: Commercial Mortgage Alert
EMEA ASIA PACAMERICAS
http://www.rcanalytics.com
Slowing Transactions A Common Trend
Global Trade Routes
http://www.rcanalytics.com
2008 Physical and Financial Cycle2013 Physical Cycle Demand & Supply affect occupancies drives rental growth
GDP growth resumed 3Q 2009. Employment growth followed 2Q 2010
RE Demand growth resumed 2Q 2010
Home building employment less than 2% of all U.S. labor
Supply growth slowest in 42+ years — potential absorption jump in 2013?
Recovery phase 2011-2014 - growth phase starts 2014, 2015, 2016?
2012 Financial Cycle Capital flows affect prices — stock market recovering, volatile in 2013?
Real estate was safest investment alternative 2000-2007, pushing prices up
Real estate prices dropped 2008, 2009 now buying opportunities in 2010 – 2014?
Debt financing hard in 2012 - creating buying opportunity for Cash Buyers
Differentiate residential versus commercial real estate to your investors!
Conclusions• Real estate is a separate asset class
–Historically Stable Earnings and price growth–Positive Diversification benefits–Public and Private investment available–Equity and Debt investment available–Fundamentals declined 08, 09 recovering 10-13–Market & Property Selection Important–Maturing Loans provide buying opportunity