real estate data: what will the future behold? mark r. linne, mai, srajack huntress rene circ...
TRANSCRIPT
Real Estate Data:What Will the Future
Behold?
Mark R. Linne, MAI, SRA Jack Huntress Rene CircCEO/Chief Analytics Officer Managing Director-Residential Director of Research-IndustrialValueScape Analytics, Inc. Environmental Data Resources Property Portfolio Research
The Appraiser of Tomorrow
• Jared Schlaes-1995• Two kinds of participants in the real estate analysis profession
• Collectors of Data• Analysts of Data
• Who prospers most?• Who is the professional and who is the para-professional?• What is the vision for the profession?
The Trends to Watch For
• Cloud Computing• Big Data• Mobile Technology• Social Networks• New Analytics• Augmented Reality
The Rise of Databases
• UAD• Fannie• Freddie• 100 Million Property DB in 10 years• Knowing more about the market than appraisers-what do you do?
Cloud Computing
• Seeing through the hype to discover the potential
• Its not just for storage• It’s all about analytics
• Leveraging the analytics in the cloud provides significant improvement in the field
• Analyze everything in real-time• Analytics that were never before possible at the device level
Big Data
• More data on virtually everything• How is the data analyzed?• What is the benefit?• Data availability will only accelerate• Where are the tools to analyze?• What you need to look for• What you need to do
TYPICAL LEASE SIZE FALLING 70 SQUARE FEET PER YEAR
Sources: CoStar Group, Inc.; PPR As of 13Q1
3,500
3,700
3,900
4,100
4,300
4,500
4,700
4,900
5,100
5,300
02 03 04 05 06 07 08 09 10 11 12 13
Average Lease Size (4-Qtr Moving Average)
Lease Size (SF)
OFFICE LEASE SIZE IN SF--ROLLING 4 QTR AVERAGE
SMALL TENANTS DISPROPTIONATELY DRIVING DEMAND
Sources: CoStar Group, Inc.; PPR As of 13Q2
0%
10%
20%
30%
40%
50%
60%
< 10K 10K to 49K 50K to 99K 100K to 199K 200K +
Recent Avg. Prev. Cycle Avg. ('00 -'07)
Share of Avg. Annual Volume
PPR54 OFFICE MARKET: NEW LEASING
Sources: CoStar Group Inc.; PPR; Esri As of 13Q1
0
10
20
30
40
50
60
Atlan
ta
Ch
icago
Los A
ngele
s
Inla
nd E
mpire
Las V
egas
Sacra
mento
Phila
delp
hia
Min
nea
polis
San
Fra
ncis
co
San
Die
go
Na
shvill
e
Tam
pa
San
Jose
Mia
mi
Ch
arlotte
East
Bay
Baltim
ore
Bosto
n
Ra
leig
h
Pho
enix
Orlando
Washin
gto
n -
NoV
A -
MD
Austin
De
nver
Ho
usto
n
San
An
tonio
Sea
ttle
Ne
w Y
ork
Da
llas -
Fort
Wort
h
2010-15 Class A Demand (Income Qualified)
2010-15 Class A Supply Additions
Class A Units (000s)
CLASS A SUPPLY VS INCOME-QUALIFIED DEMAND (2010-2015)
DEVELOPERS ASSUMING HUGE POOLS OF LUXURY RENTERS
IF YOU LAND AN ELEPHANT, IT STAYS
Sources: CoStar Group, Inc.; PPR
34%
36%
41%
52%
72%
76%
75%
0% 10% 20% 30% 40% 50% 60% 70% 80%
3-5K
5-10K
10-25K
25-50K
50-100K
100K-200K
>200K
PROBABILITY OF RENEWAL BY TENANT SIZE
MARKETS HAVE LIMITED IMPACT ON RE-LEASE POTENTIAL
Sources: CoStar Group, Inc.; PPR As of 2012
0%
20%
40%
60%
80%
100%
1 2 3 4 5 6 7 8 9 10
High-Bench-Strength Markets Low-Bench-Strength Markets
1990+ & 400K+ Vacancy
Quarters Following Vacancy Shock
BIG & NEW ASSETS IN DISTRIBUTION MARKETS
IT’S ALL ABOUT THE MARKET
Chosen?1111111111110000000000007777777
Sources: CoStar Group, Inc.; PPR As of 2012
0%
20%
40%
60%
80%
100%
1 2 3 4 5 6 7 8 9 10
High-Bench-Strength Markets Low-Bench-Strength-Markets
<1990 & 400K+ Vacancy
Quarters Following Vacancy Shock
BIG & OLD ASSETS IN DISTRIBUTION MARKETS
Sources: PPR; U.S. Department of Commerce As of 13Q1
(10%)
0%
10%
20%
30%
40%
50%
300
400
500
600
700
800
900
1,000
01 02 03 04 05 06 07 08 09 10 11 12 13
E-Commerce Physical Retail Sales
E-Commerce Sales Growth Physical Retail Sales Growth
Quarterly Sales Volume ($B, SA, Index Year 2000) Y/Y Growth
ONLINE VS. IN-STORE SALES VOLUME AND GROWTH
NET GAINING GROUND…
… BUT SO IS PRODUCTIVITY …
Sources: CoStar Group, Inc.; PPR; U.S. Department of Commerce As of 13Q1
$200
$210
$220
$230
$240
$250
$260
$270
$280
00 01 02 03 04 05 06 07 08 09 10 11 12 13
Phys Sales/SF
Physical Salesper SF
PHYSICAL RETAIL SALES PER SF OF RETAIL SPACE
… THERE IS SIGNIFICANT NOI UPSIDE BREWING
Sources: CoStar Group, Inc.; PPR; U.S. Department of Commerce As of 13Q1
$14
$15
$16
$17
$18
$19
$20
$21
$200
$210
$220
$230
$240
$250
$260
$270
$280
00 01 02 03 04 05 06 07 08 09 10 11 12 13
Phys Sales/SF Rent
8-Quarter Lag
13-Quarter Lag
Physical Salesper SF
Average Rent per SF
PHYSICAL SALES PER SF AND RENT LEVEL
PORTFOLIOS ARE BIGGER THAN EVERWAREHOUSE INIDIVIDUAL ASSET VS. PORTFOLIO PRICING*
Updated By: Updated On:
Directions: To update, see Paul Weber. FYI, to update the date axis, use a date value code. So, in a blank cell, type the date you want, then SHIFT, CTRL, ~, and that 5 digit code should be your Maximum in the horizontal axis.
308803312274312274317443322942313961313961313961313961313961314511314575315385338974335964308362
Sources: CoStar Group, Inc.; PPR As of 13Q2*Shading = Distance from trailing 90-day mean. Size = Price.
2%
4%
6%
8%
10%
12%
14%
00 01 02 03 04 05 06 07 08 09 10 11 12 13
Individual Assets Portfolios
Cap Rate
IF YOU BUILD IT…WAREHOUSE INDIVIDUAL ASSET VS. PORTFOLIO PRICING
Sources: CoStar Group, Inc.; PPR As of 13Q2
(5%)
0%
5%
10%
15%
20%
25%
0%
2%
4%
6%
8%
10%
12%
00 01 02 03 04 05 06 07 08 09 10 11 12 13
Individual Assets Portfolios Spread
Cap Rate Portfolio Premium
BIG BOX EATING GROCERS’ LUNCH
Sources: CoStar Group, Inc.; PPR; SEC Filings As of FY 2011
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
0
5
10
15
20
25
30
35
40
1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010
Traditional Grocery Stores Wal-MartCostco TargetSam's Club Traditional Grocery SF Per CapitaTotal Grocery SF Per Capita
Inventory by Year Built (Millions of SF) Inventory Per Capita (SF)
GROCERY SPACE AND EQUIVALENT BY RETAILER
BUT SOME SAFETY CAN BE FOUND
123456789
10111213141516171819202122232425262728293031
Sources: CoStar Group, Inc; PPR As of 12Q3
0%10%20%30%40%50%60%70%80%90%
100%
Sav
e-A
-Lot
Fre
sh &
Eas
y N
ghbr
hd M
arke
tIG
AG
iant
Eag
leP
iggl
y W
igg
lyF
ood
City
ALD
IJe
wel
-Osc
oB
i-Lo
Sho
pRite
Gro
cery
Out
let
Kro
ger
Wal
mar
tT
rade
r Jo
e's
Win
n-D
ixie
Foo
d 4
Les
sS
wee
tbay
Sup
erm
ark
etS
ave
Mar
t Sup
erm
arke
tF
ood
Lio
nF
ry's
Fo
od &
Dru
g S
tore
sS
tate
r B
ros.
Mar
kets
Von
's S
uper
mar
ket
Gia
nt F
ood
Alb
erts
ons
Pub
lix S
uper
Mar
ket
Saf
eway
Ra
lph'
s G
roce
ryH
arr
is T
eete
rK
ing
Soo
pers
Sto
p &
Sho
pR
ale
y's
Mar
ket
Who
le F
ood
s
<5% >40%
Share of Centers by Cohort
SHARE OF GROCERY STORES IN GREAT AND TERRIBLE CENTERS
Mobile Technology
• Good-bye desktop, good-bye lap-top• Hello tablet and iPad• This changes everything• Three monitors is not the solutions• Going smaller and going mobile• Completing the appraisal in the field while you are at the house• The inspection corollary• Efficiency, efficiency, efficiency
Social Networks
• Appraisers don’t play well together• We don’t share well• We don’t take advantage of the opportunities that collaboration
allows• Sharing• Talking advantage of each person’s expertise and opinions and
experience• You cannot leverage data unless you share• Real time sharing in the field with your peers
New Analytics
• Regression Analysis• Geographically-Weighted Regression• Monte Carlo Analysis• Non-Linear Modeling• More Data-Better Models
Augmented Reality
Not just what you an seeBut what you cannot seeLinked together based on geographyThink layers of a cakeThe Landscape of ValuationEVERYTHING about a property
demographicsEconomicsTrendsLegal Zoning
What Should You Do?
• Some of these technologies are here• Costar
• Some are being developed• Looking for industry adoption• Over the next 24 months the world changes• Be aware and be ready
There are 6500 FDIC Banks….thousands that do less than 500 residential mortgage originations a year.
Too Big to Fail…Too Small to Comply
• The pendulum swings back• New rulings make using AMCs (potentially) a business risk• There are benefits to both sides
– Appraisers get paid more (potentially better service)– Better appraisers and appraisals
• But…Banks need good technology (processes) and audit capabilities to prove “arms length” and remain in compliance
AMCs to Self Management
What data and technology is going to be used?
Questions for Consideration
• With the consumer having access to more information than ever before, what effect do you think that will have on the appraisal process? (Zillow, transaction histories)
• Why should I care about the secondary market creating a data warehouse?
• What is the role of AVMs as we go forward?• I’m not an environmental expert (as an appraiser) I’ve never offered
that information and I don’t plan on it. Why would I?• How do I understand “big data” in the context of how it will affect my
job?