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Domestic Timber Investments October 23, 2012 Bob Saul
1 GMO BS_Grant _RR_10-12
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Presenter
Robert Saul Mr. Saul is the Director of Northern Hemisphere Investments for GMO RR and is responsible for all U.S. and Central American investments in client portfolios. He joined GMO RR in 1998, and is primarily responsible for a portfolio of properties located in all major wood growing regions of the United States as well as Costa Rica and Panama. Prior to joining GMORR, Mr. Saul established the first large scale hardwood plantations in New England. He earned his B.A. in English from Amherst College and an M.P.P. from Harvard University.
Domestic Timber Investments:
– How?
– Where and When?
– What Happened and Why?
and
– Why not now?
1. Magnitude and timing of expected cash-flow
2. Security of expected cash-flow
3. Duration of growing season
4. Property carrying costs
5. Flexibility of land use
6. Operability of land base
7. Site productivity
8. Transportation Options
9. Market Diversity
10. Country risk
How?
The Basics: Factors Used to Assess Timberland Value
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Where? The U.S. Timberland Universe: 350 million forested acres in the United States
Source: National Atlas of United States
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Then Subtract
! California
! Public lands
! Low Rainfall and Slow Growth Regions and Species
! Inactive or non-competitive Stumpage Markets
! Regions that are vulnerable to Climate Change
! Regions that are population dense (HBU intensive)
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And you get about 210 Million Private Forested Acres Total market cap of about $100 billion
Source: National Atlas of United States
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When?
-
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Acr
es (0
00's
)
U.S. Timberlands Transactions by Seller Type
GMO RR Industrial Government Financial/REIT Conservation
70% of legacy industrial acres changed hands between 1996 and 2007
A brief history of recent market activity: Industry Selling
Source: RISI, GMO
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Financial Investors and REITs Buying
-
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Acr
es (0
00's
)
U.S. Timberlands Transactions by Buyer Type
Industrial Government Financial/REIT Conservation
Source: RISI, GMO
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What happened? Housing starts decline and log prices follow
Source: TimberMart South, U.S. Census
-
5
10
15
20
25
30
35
40
45
50
-
500
1,000
1,500
2,000
2,500
1994 1996 1998 2000 2002 2004 2006 2008 2010 2012
Pine net stumpage (U
S$/ton, nominal)
Hou
sing
Sta
rts
(m
illio
ns, s
easo
nally
adj
uste
d, a
nnua
lized
)
Housing Starts vs. Southern Pine Log Prices
U.S. Housing Starts Pine sawtimber Pine Chip-n-saw
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U.S. Timberland Growth vs. Drain
120
122
124
126
128
130
132
134
-
1
2
3
4
5
6
7
8
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Privately-owned saw
timber inventory:
Board feet (billions)
Gro
wth
/Dra
in: B
oard
feet
(bill
ions
)
Softwood Sawtimber Inventory U.S. West Coast
Growth Drain Standing Inventory
Source: Forest Economic Advisors
Note: “Drain” is harvest and loss to HBU conversion
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245
250
255
260
265
270
275
280
285
290
-
5
10
15
20
25
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Privately-owned saw
timber inventory:
Board feet (billions)
Gro
wth
/Dra
in: B
oard
feet
(bill
ions
)
Softwood Sawtimber Inventory U.S. South
Growth Drain Standing Inventory
Note: “Drain” is harvest and loss to HBU conversion
Source: Forest Economic Advisors
U.S. Timberland Growth vs. Drain
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Southern Pine Prices
0
5
10
15
20
25
30
35
40
45
Net
stu
mpa
ge ($
/ton)
Southern Pine Prices : Regional Avg. (2001 to Q2-2012)
Pine Sawtimber Pine Chip-n-Saw
Source: Timber Mart South
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North American Processing Capacity: SW Lumber
64
66
68
70
72
74
76
78
80
82
84
-
5
10
15
20
25
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Total N.A
. Capacity (billion board feet) R
egio
nal C
apac
ities
(bill
ion
boar
d fe
et)
North American Softwood Lumber Capacity by Region (2001-2012)
U.S. (West) U.S. (South ) U.S. (North) British Columbia Canada (East) Total N.A. Capacity
Source: Forest Economic Advisors
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North American Processing Capacity: Plywood
-
5
10
15
20
25
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Cap
acity
(mill
ion
sq. f
eet,
3/8
in. b
asis
)
North American Plywood Capacity by Region (2001-2012)
U.S. (West) U.S. (South ) Canada Total N.A. Capacity
Source: Forest Economic Advisors
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North American Processing Capacity: Pulp
0
10
20
30
40
50
60
70
80
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Shor
t ton
s (m
illio
ns)
U.S. Pulp Capacity (2001-2012) West North Central Northeast South
Source: Forest Economic Advisors
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Softwood Sawlog Exports: North America
0
1
2
3
4
5
6
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
m3
(mill
ions
)
U.S. & Canada SW Sawtimber Exports (2001 - 2011)
U.S. SW Sawlog Exports Canada SW Sawlog Exports
Source: USDA FAS GATS, B.C. Stats Ministry of Labor
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Today’s Market for Timberland Assets
! Disconnect between buyers (7% + discount rate) and sellers who sit on “market-based” or, internal appraisal valuations using discount rates at or below 5.5%
! Transaction sizes MUCH smaller than the “great monetization” of 2002 to 2008
! Hard to place significant institutional capital efficiently
! Very little transactional data available to help read the market
! More difficult to do a deal with a financial seller/buyer combination than an industrial/financial seller/buyer combination
Why it is too early to invest in U.S. timberland?
All Eyes Turn to the U.S. Housing Market
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Consensus Anticipates a Strong Recovery in Housing Starts
Source: Census Bureau. Consensus numbers are calculated using an average of estimates from BofA, NAR, NAHB, Deutsche Bank, Fannie Mae, Freddie Mac and Blue chip survey As of July, 2012
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50
70
90
110
130
150
170
190
210
230
1971 1976 1981 1986 1991 1996 2001 2006 2011
NA
R A
ffor
dabi
lity
Inde
xAffordability is Near Record Highs
Source: National Association of Realtors As of September, 2012
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But Household Formation Remains Well Below the Long-Term Average
Source: US Census Bureau As of September, 2012
*Note: Estimates for household formations are not included where adjacent years are non-comparable.
0
200
400
600
800
1000
1200
1400
1600
1800
20001983
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
2012e
Hous
ehol
d Fo
rmat
ion
(000
's)
*
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A Fifth of all Homes are Still Underwater
0%
5%
10%
15%
20%
25%
2006 2007 2008 2009 2010 2011 2012
% o
f Hom
es w
ith G
reat
er th
an 1
00%
LTV
Source: Amherst Securities As of September, 2012
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For Over 40% of the Population, Selling the House Doesn’t Make Financial Sense
Source: Amherst Securities As of September, 2012
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Rising Incomes Supported Housing Demand
Source: Census Bureau As of 2010
42,000
44,000
46,000
48,000
50,000
52,000
54,000
1980 1983 1986 1989 1992 1995 1998 2001 2004 2007 2010
Real Median Household Income - 2010 $
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25,805 40,628
22,743
44,718 21,754
38,063
-
20,000
40,000
60,000
80,000
100,000
120,000
140,000
1980 2011
000s
US Population by Age35-44 45-54 55-64
57%
97%
75%
Historically, Baby Boomer Growth Has Had a Significant Impact on Housing Demand
Source: Census Bureau As of 2011
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Lower Employment Opportunities for Younger Generation
Source: Bureau of Labor Statistics As of 2010
60
65
70
75
80
85
40
45
50
55
60
65
1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010
25-34 (%)16
-24
(%)
Civil Employment to Population
16-24 Left Axis
25-34 Right Axis
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10,000
12,000
14,000
16,000
18,000
20,000
22,000
24,000
26,000
28,000
30,000
2005 2006 2007 2008 2009 2010 2011 2012
Average Student Loan Debt. Current Dollars
Under 3030-39
12% of Gross Monthly Earnings,if paid in 10 years*
High Indebtedness Impairs Baby Boomers’ Ability to Buy Homes
*Gross monthly earnings: Fed Reserve of Kansas City paper: Student Loans: Overview and Issues. Monthly Gross Earnings: $2,500. Other assumptions for calculations: Average debt payable in monthly installment over 10 year period. Average interest rate: 6%
Source: Federal Reserve Bank of NY As of 2012
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6,000
8,000
10,000
12,000
14,000
16,000
18,000
20,000
1982 1986 1990 1994 1998 2002 2006 2010
000s
Homes Owned By Age Group
35-44
45-54
55-64
Boomer Influence on Housing is Waning
Source: Census Bureau As of 2012
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0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000
10,000
0
500
1,000
1,500
2,000
2,500
3,000
1966 1971 1976 1981 1986 1991 1996 2001 2006 2011
Cum
ulative Excess (thousands)
Hou
sing
Sta
rts/
Hou
seho
ld F
orm
atio
n (th
ousa
nds)
Excess Inventory
Total Housing StartsHousehold FormationCumulative Excess
Excess Inventory: New Housing Starts in Excess of Formation
3m excess houses (excluding 2nd, seasonal or obsolete homes)
Source: US Census Bureau As of 2012
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Source: Mortgage Bankers Association. Amherst Securities, Laurie Goodman As of September, 2012
Excess Inventory: Shadow Inventory
Delinquency Status # of Loans % of
Loans
Weighted Average Mark-to-
Market LTV
Non-Performing Loans 3,956,055 7.8% 116.5%
Re-Performing Loans 3,962,977 7.8% 105.3%
Always Performing Loans: MTM LTV > 120% 2,195,309 4.3% 146.7%
Always Performing Loans: MTM LTV b/w 100-120% 4,711,459 9.3% 107.0%
Always Performing Loans: MTM LTV < 100% 35,843,705 70.7% 70.1%
Total 50,669,505 100.0% 0
2
4
6
8
10
12
1979 1987 1995 2003 2011
Percentage of Loans in Foreclosure or 90+ Days
Delinquent
Foreclosure90+ Delinquent
About 15m houses are high risk. 30% of these could come
to market
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Excess Inventory: A Normalization of Home Ownership Rate
Ownership rate declining to 64% means 2.5m homes at risk
Source: US Census Bureau As of July, 2012
59
60
61
62
63
64
65
66
67
68
69
70
1965 1970 1975 1980 1985 1990 1995 2000 2005 2010
Home Ownership Rate (Percentage)
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Can Home Prices Fall any Further?
Source: US Census Bureau, FHFA House Price Index
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Are There Ways to Play this Market?
! Buy young forests with long dated maturity
! Invest in species with good supply /demand dynamics over the coming decades (Black Walnut?)
! Accept lower rates of return (3% real) on commodity softwood investments
! Wait until 2018 when many industrial supply agreements lapse and many timber funds sunset and housing market fundamentals improve.
Or, you could start now and build your own forest.
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