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timberland investments in an institutional portfolio - Iwc.dk

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TIMBERLANDINVESTMENTS IN ANINSTITUTIONALPORTFOLIOCopenhagen, March 11, 2009


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 2EXECUTIVE SUMMARY..................................................................................................31 INTRODUCTION .......................................................................................................52 TIMBERLAND RETURN CHARACTERISTICS...........................................................62.1 RETURN DRIVERS...........................................................................................62.2 RETURN STRUCTURE .....................................................................................82.3 DISTRIBUTION OF TIMBERLAND RETURNS ................................................103 HISTORICAL TIMBERLAND PERFORMANCE........................................................113.1 THE NCREIF TIMBERLAND INDEX ............................................................123.2 RETURN CHARACTERISTICS FOR TIMBERLAND AND OTHER ASSETS......153.3 CORRELATIONS OF TIMBERLAND RETURNS TO OTHER ASSETS..............173.4 PERFORMANCE MEASUREMENTS ...............................................................184 IWC’S ASSET ALLOCATION MODEL...................................................................214.1 RISK, RETURN AND CORRELATION ............................................................214.2 EFFICIENT FRONTIER ANALYSIS ................................................................224.3 THRESHOLD ANALYSIS................................................................................23REFERENCES................................................................................................................24


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 3Executive SummaryDue to a r<strong>an</strong>ge of attractive perform<strong>an</strong>ce characteristics <strong>an</strong>d diversification opportunitiesfrom <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> a diversified <strong>portfolio</strong>, <strong>in</strong>stitutional <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>,especially <strong>in</strong> the USA, have grown signific<strong>an</strong>tly <strong>in</strong> the last 25 years.Timberl<strong>an</strong>d <strong>in</strong>vestment returns c<strong>an</strong> be described as a function of three drivers:• Biological tree growth – ma<strong>in</strong> driver of attractive <strong>an</strong>d stable returns• Timber product price ch<strong>an</strong>ge• Ch<strong>an</strong>ges <strong>in</strong> l<strong>an</strong>d value.Ownership of <strong>timberl<strong>an</strong>d</strong> <strong>an</strong>d the attend<strong>an</strong>t biological growth <strong>an</strong>d flexibility <strong>in</strong>connection with tim<strong>in</strong>g of entry/exit <strong>an</strong>d tim<strong>in</strong>g of harvests provides <strong>in</strong>vestors with <strong>an</strong>attractive return structure. Biological growth <strong>an</strong>d utilization of the tim<strong>in</strong>g options reducesthe risk of negative returns <strong>an</strong>d results <strong>in</strong> a higher upside potential <strong>an</strong>d a reduceddownside risk compared to <strong><strong>in</strong>vestments</strong> without these characteristics.Returns between professionally m<strong>an</strong>aged <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment funds are almost normaldistributed. This <strong>in</strong>dicates that when <strong>in</strong>vest<strong>in</strong>g <strong>in</strong> <strong>timberl<strong>an</strong>d</strong> funds, the number of<strong><strong>in</strong>vestments</strong> which needs to be made is limited <strong>in</strong> order to achieve a me<strong>an</strong> return.For asset allocation purposes, <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment return characteristics are attractive:• Accord<strong>in</strong>g to <strong>an</strong> <strong>in</strong>dustry <strong>in</strong>dex, <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> the USA has for the period 1987 –2008 yielded a return of 15.1% p.a. nom<strong>in</strong>al before asset m<strong>an</strong>agement fee. For <strong>an</strong><strong>in</strong>ternationally diversified <strong>timberl<strong>an</strong>d</strong> <strong>portfolio</strong>, The International Woodl<strong>an</strong>dComp<strong>an</strong>y A/S (IWC) assumes <strong>an</strong> average future <strong>an</strong>nual rate of return of 10% -12% before asset m<strong>an</strong>agement fees.• Historical st<strong>an</strong>dard deviation of returns for the US <strong>in</strong>dex used above has been8.4% p.a. IWC assumes <strong>an</strong> <strong>an</strong>nual st<strong>an</strong>dard deviation of returns of 8% - 10% for <strong>an</strong><strong>in</strong>ternational <strong>timberl<strong>an</strong>d</strong> <strong>portfolio</strong>.• Timberl<strong>an</strong>d returns have historically shown low or negative correlations withreturns from traditional asset classes <strong>in</strong> <strong>an</strong> <strong>in</strong>stitutional <strong>portfolio</strong>. IWC expectsthis to cont<strong>in</strong>ue <strong>in</strong> the future, lead<strong>in</strong>g to high diversification benefits when<strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> <strong>in</strong> <strong>an</strong> <strong>in</strong>stitutional <strong>portfolio</strong>.The benefits of <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> <strong>an</strong> <strong>in</strong>vestment <strong>portfolio</strong> have been <strong>an</strong>alyzedthrough modern <strong>portfolio</strong> theory. Based on IWC’s asset allocation model, two efficientfrontiers have been produced: one that allows allocations to <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>, <strong>an</strong>d<strong>an</strong>other where <strong>timberl<strong>an</strong>d</strong> is not <strong>in</strong>cluded <strong>in</strong> the <strong>portfolio</strong>. The result is shown <strong>in</strong> thefigure below.


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 412%11%10%Annual Retur9%8%7%6%5%4%0% 5% 10% 15% 20% 25% 30%St<strong>an</strong>dard DeviationWith Timber Without Timber Global StocksEmerg<strong>in</strong>g Market Stocks Global Bonds Real EstateTimberl<strong>an</strong>d Large Cap Americ<strong>an</strong> Stocks Small Cap Americ<strong>an</strong> StocksFrom the figure it is evident that <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> a <strong>portfolio</strong> is beneficial as, for<strong>an</strong>y given st<strong>an</strong>dard deviation, the return for a <strong>portfolio</strong> <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> is alwayssuperior.Examples of the risk reduction by <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> for different <strong>an</strong>nual target returnsare shown <strong>in</strong> the table below.Return Target Risk Level Ch<strong>an</strong>ge from B aseIncl. Timberl<strong>an</strong>d 5.29%8.0%Excl. Timberl<strong>an</strong>d 9.22%3.93%Incl. Timberl<strong>an</strong>d 5.64%8.5%Excl. Timberl<strong>an</strong>d 10.44%4.80%Incl. Timberl<strong>an</strong>d 6.12%9.0%Excl. Timberl<strong>an</strong>d 11.92%5.80%The table shows that if <strong>an</strong> optimal allocation to <strong>timberl<strong>an</strong>d</strong> is <strong>in</strong>cluded <strong>in</strong> a <strong>portfolio</strong> with atarget rate of return of 8.5% p.a., the expected st<strong>an</strong>dard deviation c<strong>an</strong> be reduced from10.44% to 5.64% p.a.


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 51 IntroductionInstitutional <strong><strong>in</strong>vestments</strong> <strong>in</strong> <strong>timberl<strong>an</strong>d</strong> emerged <strong>in</strong> the USA <strong>in</strong> the early 1980s. Previously,<strong>in</strong>stitutional ownership of <strong>timberl<strong>an</strong>d</strong> was limited to <strong><strong>in</strong>vestments</strong> <strong>in</strong> timber productcomp<strong>an</strong>ies, which <strong>in</strong> turn owned <strong>timberl<strong>an</strong>d</strong> to ensure the supply of primary resources.As opposed to <strong>in</strong>vest<strong>in</strong>g <strong>in</strong> timber product comp<strong>an</strong>ies, ownership of <strong>timberl<strong>an</strong>d</strong> provides<strong>in</strong>vestors with attractive perform<strong>an</strong>ce characteristics.Follow<strong>in</strong>g the establishment of the first US-based <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment m<strong>an</strong>agementorg<strong>an</strong>ization (TIMO) <strong>in</strong> 1981, <strong>in</strong>stitutional <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> have grownsignific<strong>an</strong>tly. Accord<strong>in</strong>g to AMEC Forest Industry Consult<strong>in</strong>g the <strong><strong>in</strong>vestments</strong> have grownfrom less th<strong>an</strong> USD 1 billion <strong>in</strong> 1990 to more th<strong>an</strong> USD 30 billion <strong>in</strong> 2006 1 , whereas DANALimited has estimated that <strong>in</strong>stitutional <strong>in</strong>vestors have <strong>in</strong>vested a total of approximatelyUSD 50 billion as of early 2008. 2 In July 2006, Mercer estimated that the global <strong>in</strong>vestablecommercial <strong>timberl<strong>an</strong>d</strong> exceeded USD 300 billion, of which <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> the USaccounted for more th<strong>an</strong> USD 200 billion 3 . IWC’s own study shows that the <strong>in</strong>vestable <strong>an</strong>dleasable forestl<strong>an</strong>d worldwide is valued at nearly USD 480 billion 4 .Much literature has been published s<strong>in</strong>ce the 1980s on the subject of the benefits derivedfrom <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> <strong>an</strong> <strong>in</strong>stitutional <strong>in</strong>vestment <strong>portfolio</strong>. Most of this literatureis based on US <strong>in</strong>stitutional <strong>in</strong>vestment conditions. 5In Europe, IWC has pioneered <strong>in</strong>stitutional <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> s<strong>in</strong>ce itsestablishment <strong>in</strong> 1991. Particularly s<strong>in</strong>ce the late 1990s, IWC has seen grow<strong>in</strong>g <strong>in</strong>terestamong Europe<strong>an</strong> <strong>in</strong>stitutional <strong>in</strong>vestors <strong>in</strong> <strong>in</strong>ternational <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>.This paper describes the general <strong>timberl<strong>an</strong>d</strong> return characteristics <strong>an</strong>d the diversificationopportunities offered by <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> a Europe<strong>an</strong> <strong>in</strong>stitutional <strong>in</strong>vestment<strong>portfolio</strong>.———————————————————————————————1Merril Lynch, 20072Neilson, 20083Mercer, 20064IWC. Global Forestl<strong>an</strong>d Investment Study, 20055Among others: Akers, 2000; B<strong>in</strong>kley et al., 1996; Caulfield, 1998a; Caulfield <strong>an</strong>d Newm<strong>an</strong>, 1999;Conroy <strong>an</strong>d Miles, 1989; H<strong>an</strong>cock Timber Resource Group, 2003a; Redmond <strong>an</strong>d Cubbage, 1988;Re<strong>in</strong>hart, 1985, Z<strong>in</strong>kh<strong>an</strong>, 1990; <strong>an</strong>d Z<strong>in</strong>kh<strong>an</strong> et al., 1992.


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 62 Timberl<strong>an</strong>d Return Characteristics2.1 Return DriversTimberl<strong>an</strong>d <strong>in</strong>vestment returns c<strong>an</strong> be described as a function of three drivers 6 (biologicalgrowth, ch<strong>an</strong>ge <strong>in</strong> timber prices <strong>an</strong>d ch<strong>an</strong>ge <strong>in</strong> l<strong>an</strong>d value) as depicted <strong>in</strong> Figure 1.Timber pricech<strong>an</strong>ges 25-30%Biological growth65-75%L<strong>an</strong>d valuech<strong>an</strong>ges 2-5%Figure 1. Sources of Timberl<strong>an</strong>d Return. Source: RMK.The split between the return components c<strong>an</strong> vary considerably between <strong>in</strong>dividual<strong><strong>in</strong>vestments</strong>. Other <strong>in</strong>come sources (i.e. higher <strong>an</strong>d better use, HBU) such as hunt<strong>in</strong>g,m<strong>in</strong><strong>in</strong>g royalties, conservation easements etc. are applicable to some <strong><strong>in</strong>vestments</strong>.Biological tree growthBiological growth is what separates <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> from other types of real estate<strong><strong>in</strong>vestments</strong>, <strong>an</strong>d it is estimated to be the most import<strong>an</strong>t return driver. The result<strong>in</strong>gvolume <strong>an</strong>d consequent value ch<strong>an</strong>ge over time are, to a large extent, <strong>in</strong>dependent ofmacroeconomic or f<strong>in</strong><strong>an</strong>cial market conditions (“trees do not read the F<strong>in</strong><strong>an</strong>cial Times”).The effect from biological growth on return is two-dimensional. Not only do trees grow <strong>in</strong>volume, but as they grow, they also turn <strong>in</strong>to higher value products (called “<strong>in</strong>growth”).———————————————————————————————6Caulfield, 1998b


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 7Volume [m3/ha]450400350300250200150100500Example - Stages of p<strong>in</strong>e10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46Average DBH [cm]Pulpwood Chip & saw SawtimberFigure 2. Sources of <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment returns – Signific<strong>an</strong>ce of biological growth.Source: IWC <strong>in</strong>ternal <strong>an</strong>alysis.Timber price ch<strong>an</strong>geNumerous macroeconomic factors <strong>in</strong>fluence the price of timber, <strong>in</strong>clud<strong>in</strong>g populationgrowth, GDP per capita, activity <strong>in</strong> the construction sector, <strong>in</strong>terest rates, <strong>an</strong>d the overalllevel of economic activity. Moreover, microeconomic factors affect the stumpage pricewith<strong>in</strong> regions. 7 However, it is import<strong>an</strong>t to note that dur<strong>in</strong>g periods of decl<strong>in</strong><strong>in</strong>g timberprices, biological growth counters the impact of reduced timber prices. Therefore,<strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> have a natural built-<strong>in</strong> hedge aga<strong>in</strong>st timber price fluctuations.Furthermore, m<strong>an</strong>agement has signific<strong>an</strong>t flexibility when it comes to tim<strong>in</strong>g the harvestof trees. By utiliz<strong>in</strong>g positive market conditions, m<strong>an</strong>agement c<strong>an</strong> maximize the returnfrom the <strong>in</strong>vestment. Timber prices have generally appreciated by 2 percent <strong>an</strong>nuallydur<strong>in</strong>g the past century. 8Ch<strong>an</strong>ges <strong>in</strong> l<strong>an</strong>d valueUsually, l<strong>an</strong>d value only represents a very small percentage of the total <strong>timberl<strong>an</strong>d</strong><strong>in</strong>vestment value. L<strong>an</strong>d values are related to local supply <strong>an</strong>d dem<strong>an</strong>d conditions <strong>an</strong>dtherefore vary spatially. In addition, price is also partly a function of quality. A study byWashburn 9 demonstrates that the strongest <strong>in</strong>dicators of real value of l<strong>an</strong>d over time arethe CPI <strong>an</strong>d the nom<strong>in</strong>al risk-free rate of <strong>in</strong>terest. Dur<strong>in</strong>g periods of low <strong>in</strong>flation <strong>an</strong>drelative timber product price stability, <strong>timberl<strong>an</strong>d</strong> prices tend to ch<strong>an</strong>ge slowly, <strong>an</strong>d viceversa.———————————————————————————————7Caulfield, 1998b8Mercer, 20069Washburn, 1992


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 82.2 Return StructureThe <strong>in</strong>troduction of m<strong>an</strong>agerial flexibility by ownership of <strong>timberl<strong>an</strong>d</strong>, as opposed totraditional securitized <strong><strong>in</strong>vestments</strong> (e.g. timber product comp<strong>an</strong>ies), c<strong>an</strong> be perceived asacquir<strong>in</strong>g two import<strong>an</strong>t tim<strong>in</strong>g options:Entry/exit option: Ch<strong>an</strong>ges <strong>in</strong> the value of a <strong>timberl<strong>an</strong>d</strong> property are related to a numberof factors, of which ch<strong>an</strong>ges <strong>in</strong> timber prices <strong>an</strong>d presence of timber <strong>in</strong>dustry areparticularly import<strong>an</strong>t. Investors c<strong>an</strong> utilize <strong>timberl<strong>an</strong>d</strong> market conditions when enter<strong>in</strong>g<strong>an</strong>d exit<strong>in</strong>g the <strong>in</strong>vestment <strong>an</strong>d thus affect the return on the <strong>in</strong>vestment.Harvest option: By utiliz<strong>in</strong>g market conditions <strong>an</strong>d harvest<strong>in</strong>g the trees when timberprices are attractive, m<strong>an</strong>agement c<strong>an</strong> positively affect the rate of return on the<strong>in</strong>vestment.If m<strong>an</strong>agement is assumed to maximize value <strong>an</strong>d utilize vary<strong>in</strong>g market conditions,which me<strong>an</strong>s to exercise the options optimally, the return structure of the <strong>in</strong>vestment willconsequently be ch<strong>an</strong>ged. 10Probability foroutcomeWithout flexibilityProbability foroutcomeWith flexibilityWeighted averagewithout flexibilityReturnWeighted averagewith flexibilityReturnFigure 3. The effect on return structure by <strong>in</strong>troduc<strong>in</strong>g options or flexibility <strong>in</strong> <strong>timberl<strong>an</strong>d</strong><strong><strong>in</strong>vestments</strong>.As Figure 3 illustrates, the flexibility <strong>in</strong>creases the weighted average return <strong>an</strong>d thus thetotal return on <strong><strong>in</strong>vestments</strong>. The expl<strong>an</strong>ation is that the flexibility makes it possible form<strong>an</strong>agement to reduce unfavorable outcomes.In that respect, a <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment has <strong>an</strong> asymmetric return structure, with a highupside potential <strong>an</strong>d a low downside risk. Historical data, illustrated <strong>in</strong> Figure 4 below,seem to support this. The figure compares the <strong>an</strong>nual total rate of return of the NCREIF 11Timberl<strong>an</strong>d Index 12 with the MSCI World 13 from 1970 to 2008.———————————————————————————————10Cordt <strong>an</strong>d Degn, 200311National Council of Real Estate Investment Fiduciaries12For the period before 1987 the John H<strong>an</strong>cock Timber Index is used.13IWC’s benchmark for global stocks


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 960%50%40%30%Return20%10%0%-10%-20%-30%-40%1971197319751977197919811983198519871989199119931995199719992001200320052007MSCI WorldTimberl<strong>an</strong>dFigure 4. John H<strong>an</strong>cock Timber Index 14 versus MSCI World 15 , 1970-1987, <strong>an</strong>d NCREIFTimberl<strong>an</strong>d Index 16 versus MSCI World, 1987-2008.The chart demonstrates the difference between volatility on the upside (positive returns)<strong>an</strong>d the downside (negative returns).The magnitude of the positive green bars (<strong>timberl<strong>an</strong>d</strong>) <strong>in</strong> Figure 4 is roughly the same asthe magnitude of the positive blue bars (global stocks). In other words, the volatility onthe upside is almost similar. However, there is a signific<strong>an</strong>t difference on the downside:the total magnitude of the blue bars is of completely different dimensions from themagnitude of the green bars.The conclusion is that returns are highly elastic on the upside, but close to <strong>in</strong>elastic on thedownside for <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>, which is the ideal situation. 17When consider<strong>in</strong>g the risks of <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>, biotic <strong>an</strong>d climatic factors areoften addressed by <strong>in</strong>vestors.Figure 5 below <strong>in</strong>dicates that professionally m<strong>an</strong>aged <strong>timberl<strong>an</strong>d</strong> has hardly experiencedadverse events. Less th<strong>an</strong> 0.1% of the total value of the forest asset has been lost due to<strong>in</strong>sects, storm, or fire <strong>in</strong> <strong>an</strong>y given year. 18 A reason is that after a fire has hit, it is estimatedthat up to 90 percent of the timber is still merch<strong>an</strong>table. 19 However, accord<strong>in</strong>g to IWC ‘sexperience, there is a higher risk of losses from hazards <strong>in</strong> less well m<strong>an</strong>aged <strong>timberl<strong>an</strong>d</strong>forests, like public l<strong>an</strong>ds.———————————————————————————————14Historic <strong>timberl<strong>an</strong>d</strong> perform<strong>an</strong>ce figures calculated from the John H<strong>an</strong>cock Timber Index arebased on a model constructed by H<strong>an</strong>cock Timber Resource Group, the largest <strong>timberl<strong>an</strong>d</strong><strong>in</strong>vestment m<strong>an</strong>agement org<strong>an</strong>ization (TIMO) for <strong>in</strong>stitutional <strong>in</strong>vestors15The MSCI World Equity Indices are designed to measure the perform<strong>an</strong>ce of the global equitymarkets16Refer to page 1017Ineichen, 200318Accord<strong>in</strong>g to IWC’s knowledge, neither a more recent study has been conducted nor one focus<strong>in</strong>gon the average loss outside of United States.19Goar , 2001


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 100.10%0.08%0.06%0.04%0.02%0.00%19911992199319941995199619971998199920002001Return2002Fire Storm InsectsFigure 5. Percentage asset value loss of total <strong>in</strong> H<strong>an</strong>cock’s 20 <strong><strong>in</strong>vestments</strong> <strong>in</strong> North America.H<strong>an</strong>cock had dur<strong>in</strong>g that time m<strong>an</strong>aged <strong>timberl<strong>an</strong>d</strong> valued at about USD 2 billion.Source: H<strong>an</strong>cock Timber Resource Group, 2003d.2.3 Distribution of Timberl<strong>an</strong>d ReturnsThe asymmetric return structure of the <strong>in</strong>dividual <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>, as describedabove, should not be confused with the distribution of returns between different<strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> (such as <strong>in</strong>stitutional <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment funds). If the returndistribution between <strong><strong>in</strong>vestments</strong> is even, the me<strong>an</strong> <strong>an</strong>d medi<strong>an</strong> rates of return will beidentical. This implies that the number of underly<strong>in</strong>g <strong><strong>in</strong>vestments</strong> to be <strong>in</strong>cluded <strong>in</strong> a<strong>portfolio</strong> is limited <strong>in</strong> order to achieve a me<strong>an</strong> rate of return.This is not the case when the returns of different <strong><strong>in</strong>vestments</strong> are unevenly (e.g.lognormal) distributed, where the medi<strong>an</strong> is lower th<strong>an</strong> the me<strong>an</strong> rate of return. Underthose circumst<strong>an</strong>ces, the number of <strong><strong>in</strong>vestments</strong> to be <strong>in</strong>cluded <strong>in</strong> the <strong>portfolio</strong> issubst<strong>an</strong>tially larger. This is illustrated <strong>in</strong> Figure 6 below.Probability foroutcomeNormal distributionMedi<strong>an</strong>Me<strong>an</strong>Few <strong><strong>in</strong>vestments</strong> toachieve me<strong>an</strong> returnProbability foroutcomeMedi<strong>an</strong>Lognormal distributionMe<strong>an</strong>M<strong>an</strong>y <strong><strong>in</strong>vestments</strong> toachieve me<strong>an</strong> returnReturnFigure 6. Illustration of two different distributions of returns between <strong><strong>in</strong>vestments</strong>.ReturnTable 1. Distribution of <strong>an</strong>nual returns <strong>in</strong> Timberl<strong>an</strong>d <strong>an</strong>d US Private Equity/Buyout Funds 21 .1999-2008Q3 Me<strong>an</strong> Medi<strong>an</strong> Max M<strong>in</strong> Upper LowerTimberl<strong>an</strong>d (NCREIF) 8.9% 10.2% 19.4% -5.2% 18.5% 1.2%US Private Equity 5.4% 4.2% 112.1% -93.5% 15.1% -3.2%———————————————————————————————20H<strong>an</strong>cock Timber Resource Group is the largest <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment m<strong>an</strong>agement org<strong>an</strong>ization(TIMO) for <strong>in</strong>stitutional <strong>in</strong>vestors21Data is obta<strong>in</strong>ed from VentureXpert. Please note that data is as of Q3 2008.


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 11Table 1 shows that compared to US private equity, the <strong>an</strong>nual returns of <strong>timberl<strong>an</strong>d</strong> havenot only a higher me<strong>an</strong>, but also have far smaller “tails”, i.e. is platykurtic. This <strong>in</strong>dicatesthat extreme returns are much less likely for <strong>timberl<strong>an</strong>d</strong> th<strong>an</strong> for <strong><strong>in</strong>vestments</strong> <strong>in</strong> privateequity, which shows a distribution with larger tails, i.e. is leptokurtic. Therefore fewer<strong><strong>in</strong>vestments</strong> <strong>in</strong> <strong>timberl<strong>an</strong>d</strong> will lead to a me<strong>an</strong> rate of returns.IWC has gathered return data from 77 <strong>in</strong>stitutional <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment funds <strong>an</strong>daccounts with ma<strong>in</strong>ly US-based <strong><strong>in</strong>vestments</strong>. The returns are reported as <strong>an</strong>nual returnss<strong>in</strong>ce <strong>in</strong>ception. The distribution of the return data is displayed <strong>in</strong> Figure 7 below.15105055%No of fundAnnual ReturnFigure 7. Return distribution from 77 <strong>in</strong>stitutional <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment funds reported as<strong>an</strong>nual gross IRR returns s<strong>in</strong>ce <strong>in</strong>ception.Source: IWC <strong>in</strong>ternal <strong>an</strong>alysis 2007, based on data provided by TIMOs.The chart shows that the distribution of the <strong>an</strong>nual returns is not purely normal, norlognormal. This <strong>in</strong>dicates that a <strong>timberl<strong>an</strong>d</strong> <strong>portfolio</strong> should <strong>in</strong>clude more th<strong>an</strong> a fewfunds, but not as m<strong>an</strong>y as when <strong>in</strong>vest<strong>in</strong>g <strong>in</strong> private equity <strong>in</strong> order to achieve a me<strong>an</strong> rateof return.3 Historical Timberl<strong>an</strong>d Perform<strong>an</strong>ceThe rema<strong>in</strong>der of this paper focuses on the historical <strong>an</strong>d expected benefits of <strong>in</strong>clud<strong>in</strong>g<strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> <strong>in</strong> <strong>an</strong> <strong>in</strong>stitutional <strong>portfolio</strong>.The historical data are based on quarterly reported returns between first quarter 1987 <strong>an</strong>dfourth quarter 2008, <strong>an</strong>d the asset classes employed <strong>in</strong> the present study are the onesidentified <strong>in</strong> Table 2 below.


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 12Table 2. Asset classes <strong>an</strong>d respective benchmarks used <strong>in</strong> the asset allocation study.Asset classBenchmarkTimberl<strong>an</strong>dGlobal stocksLarge Cap Americ<strong>an</strong> StocksSmall Cap Americ<strong>an</strong> StockEmerg<strong>in</strong>g Markets StocksGlobal BondsReal estateCPIRisk-free rate* Includ<strong>in</strong>g re<strong>in</strong>vested dividends** Data only dates back to 1988NCREIF Timberl<strong>an</strong>d IndexMSCI World Total return *SP 500 *Russell 2000 **, **MSCI EM Total ReturnJPM GBI Broad **NCREIF Property IndexUS CPILIBOR USD 3 MonthMeasur<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> perform<strong>an</strong>ce is complicated due to the fact that there is nocentralized auction market which cont<strong>in</strong>uously prices <strong>timberl<strong>an</strong>d</strong> assets, not to saymonitors the returns. Consequently, several <strong>an</strong>alysts have designed models of what thepast perform<strong>an</strong>ce of <strong>timberl<strong>an</strong>d</strong> might have been, had it been possible to observe <strong>an</strong>drecord the data. 22Based on actual returns, two <strong>in</strong>dices have historically reported quarterly <strong>an</strong>d <strong>an</strong>nualreturns: the Timberl<strong>an</strong>d Perform<strong>an</strong>ce Index (TPI) <strong>an</strong>d the NCREIF Timberl<strong>an</strong>d Index. Theformer was discont<strong>in</strong>ued <strong>in</strong> 1999; hence, the present study will apply the NCREIFTimberl<strong>an</strong>d Index which is denom<strong>in</strong>ated <strong>in</strong> US dollars.3.1 The NCREIF Timberl<strong>an</strong>d IndexThe NCREIF Timberl<strong>an</strong>d Index has been published s<strong>in</strong>ce 1994 <strong>an</strong>d <strong>in</strong>cludes returnsdat<strong>in</strong>g back to 1987. It is a property-based <strong>in</strong>dex report<strong>in</strong>g returns for three regions <strong>in</strong> theUSA. The <strong>in</strong>dex is based on generally accepted measures of asset valuation. Additionally,the reported <strong>in</strong>come <strong>an</strong>d appreciation return series conforms to theoretically appropriateconcepts of asset returns. 23The <strong>in</strong>dex accounts for 12.8 million acres of forestl<strong>an</strong>d, <strong>an</strong>d the total value of the 305properties is about USD 23.9 billion, a subst<strong>an</strong>tial share of <strong>in</strong>stitutional <strong>timberl<strong>an</strong>d</strong><strong><strong>in</strong>vestments</strong> <strong>in</strong> the United States. 24However, there are four limitations to the NCREIF Timberl<strong>an</strong>d Index 25 :1. The number of contribut<strong>in</strong>g TIMOs has historically been limited <strong>an</strong>d currentlythe <strong>in</strong>dex has eight contribut<strong>in</strong>g members.2. The <strong>in</strong>dex series only dates back to 1987, which is a relatively short period. Thiswill be of less concern over time as more years are added.———————————————————————————————22B<strong>in</strong>kley et al., 199623H<strong>an</strong>cock Timber Resource Group, 2003b24NCREIF, 2008; <strong>an</strong>d Washburn, 200325Lutz, 1999


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 133. The <strong>in</strong>dex covers only <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> <strong>in</strong> the United States, which as itwill be shown later, is not the only market for <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>.4. Only quarterly appreciation returns are reported by the NCREIF. In quarterswhen properties are not appraised, the appreciation is reported as zero. As aresult, the return series shows a higher volatility th<strong>an</strong> there actually is.In spite of these limitations, the <strong>in</strong>dex is the best available measure of historicalperform<strong>an</strong>ce <strong>an</strong>d it provides some <strong>in</strong>dication of expected return characteristics for<strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>. The <strong>an</strong>nual returns for the NCREIF Timberl<strong>an</strong>d Index s<strong>in</strong>ce 1987are displayed <strong>in</strong> Figure 8 below.40%Annual retur30%20%10%0%-10%19871989199119931995199719992001200320052007Income ReturnCapital AppreciationTotal ReturnMe<strong>an</strong>Medi<strong>an</strong>Figure 8. Annual reported return (%/year) s<strong>in</strong>ce 1987 for the NCREIF Timberl<strong>an</strong>d Index.As it c<strong>an</strong> be seen from Figure 8, <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> have had good historicalperform<strong>an</strong>ce. The decomposition show a steady <strong>in</strong>come return, while capitalappreciation is more volatile <strong>an</strong>d even experienced depreciation <strong>in</strong> 2001 <strong>an</strong>d 2002predom<strong>in</strong><strong>an</strong>tly due to fall<strong>in</strong>g stumpage prices <strong>in</strong> the USA. Timberl<strong>an</strong>d <strong><strong>in</strong>vestments</strong> havehistorically yielded <strong>an</strong> <strong>an</strong>nual nom<strong>in</strong>al return of 15.1% s<strong>in</strong>ce 1987. The medi<strong>an</strong> of thereturns is 13.8%, <strong>in</strong>dicat<strong>in</strong>g a positive skewness <strong>in</strong> the <strong>an</strong>nual returns.8Frequenc6420(10%) - (5%)(5%) - 0%0% - 5%5% - 10%10% - 15%15% - 20%20% - 25%25% - 30%30% - 35%35% - 40%40% - 45%45% - 50%50% - 55%Annual returnFigure 9. Histogram of reported return (%/year) s<strong>in</strong>ce 1971 for John H<strong>an</strong>cock Timberl<strong>an</strong>d Index(1971-1986) <strong>an</strong>d the NCREIF Timberl<strong>an</strong>d Index (1987-2008).


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 14Figure 9 shows that there is a positive skewness <strong>in</strong> the <strong>an</strong>nual returns, mak<strong>in</strong>g a largenegative return less likely th<strong>an</strong> a large positive return, <strong>an</strong>d a high average return, which is<strong>in</strong> l<strong>in</strong>e with the overall characteristics of <strong>timberl<strong>an</strong>d</strong>; high risk adjusted return.80%60%Return40%20%0%-20%1987198819891990199119921993199419951996199719981999200020012002200320042005200620072008South Pacific Northwest NortheastFigure 10. Annual reported return (%/year) s<strong>in</strong>ce 1987 for the regions covered by NCREIFTimberl<strong>an</strong>d Index.Figure 10 shows that the <strong>an</strong>nual returns vary quite a lot <strong>in</strong> the different US regions,r<strong>an</strong>g<strong>in</strong>g from <strong>an</strong> arithmetic average of 9.5% <strong>in</strong> US Northeast, 11.6% <strong>in</strong> US South, peak<strong>in</strong>g at20.9% <strong>in</strong> US Pacific Northwest. The return <strong>in</strong> Pacific Northwest is highly impacted bypositive outliers, correct<strong>in</strong>g for that by look<strong>in</strong>g at the medi<strong>an</strong> <strong>in</strong>stead, the medi<strong>an</strong> of the<strong>an</strong>nual returns are at the same level r<strong>an</strong>g<strong>in</strong>g from 10.7% to 13.7%. This <strong>in</strong>dicates that<strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment is not a unified asset, as e.g. climate, soil, maturity, species etc.impact the return characteristics.As previously mentioned, a major drawback of the NCREIF Timberl<strong>an</strong>d Index is that itonly consists of data from the US market. For the <strong>in</strong>stitutional <strong>in</strong>vestor, there arealternatives to the US <strong>timberl<strong>an</strong>d</strong> market, as <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> outside the US aregett<strong>in</strong>g more <strong>an</strong>d more feasible to <strong>in</strong>vest <strong>in</strong>, which me<strong>an</strong>s that it is possible for <strong>in</strong>vestors to<strong>in</strong>vest <strong>in</strong> a comb<strong>in</strong>ation of regions that matches the <strong>in</strong>vestor’s preferences. H<strong>an</strong>cock hasestimated <strong>an</strong>nual returns s<strong>in</strong>ce 1960 on <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> <strong>in</strong> the ma<strong>in</strong> <strong>in</strong>vestableregions, based on timber prices dur<strong>in</strong>g the prior 8 quarters. This gives <strong>an</strong> <strong>in</strong>dicator of thecharacteristics of return <strong>in</strong> the different regions.Table 3. Annual returns s<strong>in</strong>ce 1987 accord<strong>in</strong>g to H<strong>an</strong>cock <strong>in</strong> different regions 26Annual Returnss<strong>in</strong>ce 1987U.S. SouthU.S. PacificNorthwestU.S. NortheastU.S.DomesticCoastal B.C. New Zeal<strong>an</strong>d Australia BrazilMe<strong>an</strong> of returns 11.7% 20.9% 9.8% 15.2% 11.7% 9.6% 11.9% 18.4%Stdev of returns 6.2% 22.6% 7.9% 10.7% 17.8% 14.4% 11.1% 18.9%Medi<strong>an</strong> of returns 12.8% 13.1% 9.3% 13.3% 12.1% 10.5% 12.0% 15.2%Correlation to US Domestic 0.59 0.95 0.30 1.00 0.50 0.30 0.40 0.45———————————————————————————————26In order to compare with the NCREIF Timberl<strong>an</strong>d Index <strong>an</strong>d as no figures are present from theoutside the US prior to 1975, only returns s<strong>in</strong>ce 1987 are used. No returns from Brazil prior to 1992are present. Note that IWC carries out regional studies, where expected future perform<strong>an</strong>ce <strong>an</strong>dcorrelation with<strong>in</strong> geographical regions are estimated


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 15By comb<strong>in</strong><strong>in</strong>g the output from Figure 10 <strong>an</strong>d Table 3, it becomes clear that there is am<strong>in</strong>or discrep<strong>an</strong>cy between the average <strong>an</strong>nual returns <strong>in</strong> the US regions. However, as thediscrep<strong>an</strong>cy is relatively small, Figure 10 is a good proxy of how the returns/risk <strong>in</strong> thedifferent regions have been relative to each other <strong>an</strong>d of how much the returns <strong>in</strong> themarkets outside of the US correlate to the returns <strong>in</strong> the US market. It is obvious that thecorrelation between the returns <strong>in</strong> the US <strong>an</strong>d other markets are low, mak<strong>in</strong>g it possible todiversify a <strong>portfolio</strong> of US market <strong>timberl<strong>an</strong>d</strong> with <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment <strong>in</strong> othermarkets. Moreover, Brazil has shown high returns above the average of the US <strong>timberl<strong>an</strong>d</strong>markets for the past 20 years, especially when adjust<strong>in</strong>g for outliers by look<strong>in</strong>g at themedi<strong>an</strong> <strong>in</strong>stead of the me<strong>an</strong>. As more <strong>an</strong>d more <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment opportunitiesarise <strong>in</strong> emerg<strong>in</strong>g markets, like Russia, Asia, Africa, etc., it is possible to achieve returnsthat are above the NCREIF Timberl<strong>an</strong>d Index.Even though there are geographical diversification opportunities with<strong>in</strong> the <strong>timberl<strong>an</strong>d</strong><strong>in</strong>vestment universe, by far the most money (91%) is <strong>in</strong>vested <strong>in</strong> the North Americ<strong>an</strong>timber assets. Oce<strong>an</strong>ia accounts for 5%, South Americ<strong>an</strong> for 2% <strong>an</strong>d “other” for 2%. 273.2 Return Characteristics for Timberl<strong>an</strong>d <strong>an</strong>d Other AssetsFigure 11 below displays cumulative total returns of <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> s<strong>in</strong>ce 1987,measured by the NCREIF Timberl<strong>an</strong>d Index, relative to other assets <strong>in</strong> the <strong>in</strong>vestableuniverse.2000Indexed cumulative ret1500100050001987198819891990199119921993199419951996199719981999200020012002200320042005200620072008NCREIF Timber - historical dataGlobal StocksEmerg<strong>in</strong>g Markets StocksGlobal BondsReal EstateLarge Cap Americ<strong>an</strong> StocksSmall Cap Americ<strong>an</strong> StocksFigure 11. Cumulative nom<strong>in</strong>al returns for <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment, measured by the NCREIF,relative to other assets <strong>in</strong> the <strong>in</strong>vestable universe between 1987 <strong>an</strong>d 2008.———————————————————————————————27Merril Lynch. Timber Survey, 2007


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 16It is evident that from 2003 to 2007, the stock markets appreciated signific<strong>an</strong>tly <strong>an</strong>despecially the emerg<strong>in</strong>g markets showed extraord<strong>in</strong>ary perform<strong>an</strong>ce. Bonds <strong>an</strong>d realestate showed a steadier, but limited appreciation up to 2007, which is <strong>in</strong> l<strong>in</strong>e with thecharacteristics of those assets. The 2008 turmoil severely hit the f<strong>in</strong><strong>an</strong>cial capital markets<strong>an</strong>d m<strong>an</strong>y stock markets were down more th<strong>an</strong> 40%. The real estate markets were also hitbut not as brutally as the stock markets. Timberl<strong>an</strong>d on the other h<strong>an</strong>d has shown asteady, but overall high appreciation, mak<strong>in</strong>g it the asset with the highest return s<strong>in</strong>ce1987.Table 4 shows the <strong>an</strong>nualized compounded return for different time horizons s<strong>in</strong>ce 1987for the assets <strong>an</strong>alyzed <strong>in</strong> this paper.Table 4. Annualized Compounded Returns for the asset classes.Annualizedcompounded return NCREIF Timber Global StocksEmerg<strong>in</strong>gMarkets StocksLarge CapAmeric<strong>an</strong> Global Bonds Real Estate1 year 9.5% -40.3% -53.2% -38.5% 10.4% -6.5%5 years 14.4% 0.0% 8.0% -4.1% 6.2% 11.7%10 years 8.9% -0.2% 9.3% -3.0% 6.0% 10.5%15 years 10.2% 5.0% 2.7% 4.5% 6.7% 10.6%20 years 13.8% 5.4% 10.1% 6.1% 7.5% 7.9%Inception 15.1% 6.6% 10.9% 6.2% 7.1% 8.0%Highest 37.4% 33.8% 74.8% 34.1% 20.1% 20.1%Lowest -5.2% -40.3% -53.2% -38.5% -6.4% -6.5%To illustrate <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>’ historical attractive returns <strong>in</strong> terms of variabilitycharacteristics, a chart of the rates of returns <strong>an</strong>d st<strong>an</strong>dard deviations for the assets<strong>in</strong>cluded <strong>in</strong> the <strong>in</strong>vestable universe has been prepared. The rates of return <strong>an</strong>d st<strong>an</strong>darddeviations are based on the historical return series mentioned <strong>in</strong> Table 2. The result<strong>in</strong>gchart is displayed <strong>in</strong> Figure 12 below.20%Annua16%12%8%4%Real EstateNCREIF Timber -historical dataGlobal BondsGlobal StocksLarge Cap Americ<strong>an</strong>StocksEmerg<strong>in</strong>g MarketStocksSmall Cap Americ<strong>an</strong>Stocks0%0% 5% 10% 15% 20% 25% 30%St<strong>an</strong>dard deviationFigure 12. Geometric <strong>an</strong>nual rates of return <strong>an</strong>d st<strong>an</strong>dard deviations for the present studies <strong>in</strong><strong>in</strong>vestable assets based on quarterly historical data from the Q1 1987 to Q4 2008.


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 17The chart clearly shows that on a historical basis, <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> have attractivereturn <strong>an</strong>d risk characteristics.As historical data is not necessarily a good <strong>in</strong>dicator of future perform<strong>an</strong>ce, the forecastedperform<strong>an</strong>ce of the asset classes will be shown <strong>in</strong> IWC’s Asset Allocation Model section ofthis report.3.3 Correlations of Timberl<strong>an</strong>d Returns to Other AssetsBesides attractive risk <strong>an</strong>d return characteristics, <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> have lowcorrelations with the other assets <strong>in</strong> the <strong>in</strong>vestable universe, which is beneficial when a<strong>portfolio</strong> of assets is created from different asset classes.Figure 13 below shows the correlations between yearly returns on <strong>timberl<strong>an</strong>d</strong><strong><strong>in</strong>vestments</strong>, measured by the NCREIF, <strong>an</strong>d the rema<strong>in</strong><strong>in</strong>g <strong>in</strong>vestable universe.CPI All Items0.27Real Estate-0.14Global BondsSmall Cap Americ<strong>an</strong> StocksLarge Cap Americ<strong>an</strong> StocksEmerg<strong>in</strong>g Market StocksGlobal Stocks-0.020.060.060.040.07-0.30 -0.20 -0.10 0.00 0.10 0.20 0.30Correlation with <strong>timberl<strong>an</strong>d</strong> (quarterly returns)Figure 13. Historical yearly correlations with <strong>timberl<strong>an</strong>d</strong> returns based on quarterly databetween Q1 1987 <strong>an</strong>d Q4 2008.As shown <strong>in</strong> Figure 13, <strong>timberl<strong>an</strong>d</strong> returns have historically correlated fairly well with<strong>in</strong>flation, <strong>in</strong>dicat<strong>in</strong>g that <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>, to some extent, provide a hedge aga<strong>in</strong>st<strong>in</strong>flation. This is also supported by a study made by Lutz <strong>in</strong> 2007, which concluded that ageographically diversified <strong>timberl<strong>an</strong>d</strong> <strong>portfolio</strong> acts as <strong>an</strong> <strong>in</strong>flation hedge. 28Quarterly <strong>timberl<strong>an</strong>d</strong> returns have correlated only slightly positively with most assetclasses, <strong>in</strong>dicat<strong>in</strong>g that there are sizeable benefits to be achieved by <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong><strong>in</strong> a diversified <strong>portfolio</strong>.Furthermore, <strong>timberl<strong>an</strong>d</strong> <strong>in</strong>vestment returns correlate negatively with real estate returns.This is quite <strong>in</strong>terest<strong>in</strong>g s<strong>in</strong>ce <strong>timberl<strong>an</strong>d</strong> is often categorized as <strong>an</strong> alternative real estate<strong>in</strong>vestment. Accord<strong>in</strong>g to the data presented <strong>in</strong> this study, there are subst<strong>an</strong>tial benefits tobe achieved by <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> a real estate <strong>portfolio</strong>. 29———————————————————————————————28Lutz, 200729For more descriptions about the benefits of <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> a real estate <strong>portfolio</strong>, see for exampleH<strong>an</strong>cock Timber Resource Group, 2003c; <strong>an</strong>d Washburn et al., 2003.


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 183.4 Perform<strong>an</strong>ce MeasurementsThis section encompasses a r<strong>an</strong>ge of well-known f<strong>in</strong><strong>an</strong>cial key figures which aremeasur<strong>in</strong>g the historical perform<strong>an</strong>ce of <strong>in</strong>vestable assets <strong>in</strong> different ways.Based on the risk <strong>an</strong>d return characteristics identified, the Sharpe ratio has beencalculated for each asset <strong>in</strong> the <strong>in</strong>vestable universe us<strong>in</strong>g the calculated rate of returnfrom Libor 3M as the risk-free rate of return. 30Figure 14 below illustrates the result of the <strong>an</strong>alysis. As shown <strong>in</strong> the figure, the excessreturn to variability from <strong>timberl<strong>an</strong>d</strong> is attractive, even when lower<strong>in</strong>g the expected return<strong>an</strong>d <strong>in</strong>creas<strong>in</strong>g the st<strong>an</strong>dard deviation of returns.Real EstateGlobal BondsSmall Cap Americ<strong>an</strong> StocksLarge Cap Americ<strong>an</strong> StocksEmerg<strong>in</strong>g Market StocksGlobal StocksNCREIF Timber - historical data0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4Sharpe RatioFigure 14. Sharpe Ratio for each asset <strong>in</strong> the <strong>in</strong>vestable universe (risk-free rate of return isestimated from Libor 3M). Returns are based on historical data Q1 1987 to Q4 2008.In order to exam<strong>in</strong>e the fluctations <strong>in</strong> the Sharpe ratios over time, <strong>an</strong> <strong>an</strong>alysis of eachasset’s Sharpe ratio over a 10 year horizon has been conducted, e.g. 1987-1996, 1988-1997,etc. The outcome is shown below <strong>in</strong> Figure 15, where it is clear that the NCREIFTimberl<strong>an</strong>d Index historically has not only had a higher average Sharpe ratio, but also thelowest Sharpe ratio is signific<strong>an</strong>tly above those of the other assets.———————————————————————————————30The Sharpe ratio is often referred to as <strong>an</strong> excess return to variability measure, <strong>an</strong>d is calculated bysubtract<strong>in</strong>g the risk-free rate from the expected rate of return for a <strong>portfolio</strong> <strong>an</strong>d divid<strong>in</strong>g the resultby the st<strong>an</strong>dard deviation of the <strong>portfolio</strong> returns.( R − ) / σP R FP


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 195.04.0Sharpe rati3.02.01.00.0-1.0NCREIF Global Stocks Emerg<strong>in</strong>gTimber -Market Stockshistorical dataLarge CapAmeric<strong>an</strong>StocksSmall CapAmeric<strong>an</strong>StocksGlobal BondsReal EstateFigure 15. Max, M<strong>in</strong> <strong>an</strong>d Average Sharpe Ratio for each asset over a 10-year horizon dur<strong>in</strong>g1987-2008.Another measure of <strong>an</strong> asset’s perform<strong>an</strong>ce is by its alpha, which shows if <strong>an</strong> asset hasyielded a higher or lower return th<strong>an</strong> the CAPM theory forecasts 31 . Accord<strong>in</strong>g to theCAPM-theory, the return of <strong>an</strong> asset must be directly correlated to the systematic risk (therisk that c<strong>an</strong>not be lowered by diversification). By def<strong>in</strong>ition, the market risk, β 32 of themarket (<strong>in</strong> this paper the global market 33 ) is 1.00. A straight (β/return) l<strong>in</strong>e, the SecurityMarket L<strong>in</strong>e (SML), c<strong>an</strong> be drawn from the risk free rate to the market. In a perfecttheoretical world all assets should be on this l<strong>in</strong>e.16%14%12%NCREIF Timber -historical dataEmerg<strong>in</strong>g MarketStocksAnnual retur10%8%6%Real EstateGlobal BondsMarketGlobal Stocks4%2%Large CapAmeric<strong>an</strong> StocksSmall Cap Americ<strong>an</strong>Stocks0%0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0betaFigure 16. Security Market L<strong>in</strong>e <strong>an</strong>d beta/return of assets.———————————————————————————————31Capital Asset Pric<strong>in</strong>g Model32βasset: Cov(rasset; rmarket) / σ market233The market is derived based on the asset classes <strong>in</strong>cluded <strong>in</strong> this paper, weighted with theirapproximate relative weight <strong>in</strong> a global <strong>portfolio</strong>.


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 20Alpha is def<strong>in</strong>ed as the superior/<strong>in</strong>ferior return relative to the systematic risk, <strong>in</strong> otherwords the vertical dist<strong>an</strong>ce from the asset to the SML. 34Real EstateGlobal BondsSmall Cap Americ<strong>an</strong> StocksLarge Cap Americ<strong>an</strong> StocksEmerg<strong>in</strong>g Market StocksGlobal StocksNCREIF Timber - historicaldata-8% -6% -4% -2% 0% 2% 4% 6% 8% 10% 12%Figure 17. alpha of the <strong>in</strong>vestable assets.alphaAs shown <strong>in</strong> Figure 15 <strong>an</strong>d 16 the perform<strong>an</strong>ce of the historical NCREIF Timberl<strong>an</strong>d is byfar outperform<strong>in</strong>g the other asset classes. Even with the reduced expected attractivenessof <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> the future, the characteristics of <strong>timberl<strong>an</strong>d</strong> is superior to most otherasset classes <strong>in</strong>dicat<strong>in</strong>g that a superior return has been achievable <strong>an</strong>d is expected to be so<strong>in</strong> the future as well.———————————————————————————————34αasset: rasset - βasset * rmarket


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 214 IWC’s Asset Allocation ModelThe previous sections of this study have been focus<strong>in</strong>g on historical perform<strong>an</strong>ce, whichshould not be <strong>in</strong> alignment with future perform<strong>an</strong>ce expectations. The <strong>in</strong>tention with thissection is to show the expected future benefits of <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> <strong>in</strong> <strong>an</strong><strong>in</strong>stitutional <strong>portfolio</strong>. Therefore <strong>an</strong> efficient frontier <strong>an</strong>alysis is carried out us<strong>in</strong>g expectedperform<strong>an</strong>ce for <strong>timberl<strong>an</strong>d</strong> <strong>an</strong>d other asset classes.4.1 Risk, Return <strong>an</strong>d CorrelationThe data needed for <strong>an</strong>y asset allocation study are estimates of risk def<strong>in</strong>ed by thest<strong>an</strong>dard deviation, rate of return, <strong>an</strong>d correlation of <strong>an</strong>y asset comb<strong>in</strong>ation represented<strong>in</strong> the <strong>in</strong>vestable universe.Accord<strong>in</strong>g to IWC <strong>an</strong>alysis, <strong>an</strong> <strong>in</strong>ternational diversified <strong>timberl<strong>an</strong>d</strong> <strong>portfolio</strong> is expected toyield <strong>an</strong> <strong>an</strong>nual nom<strong>in</strong>al rate of return of 10.60-11.25% before tax <strong>an</strong>d asset m<strong>an</strong>agementfees <strong>an</strong>d <strong>an</strong> <strong>an</strong>nual st<strong>an</strong>dard deviation of 8.75% <strong>an</strong>d 10.60%. 35 The rema<strong>in</strong>der of thepresent study will employ <strong>an</strong> expected nom<strong>in</strong>al rate of return of 10% p.a. after assetm<strong>an</strong>agement fees of 1% <strong>an</strong>d <strong>an</strong> <strong>an</strong>nual st<strong>an</strong>dard deviation of 9.0%.For this asset allocation study, the <strong>in</strong>vestable universe has been def<strong>in</strong>ed as: Timberl<strong>an</strong>d,Global stocks, Emerg<strong>in</strong>g Market Stocks, Small Cap Americ<strong>an</strong> Stocks, Large Cap Americ<strong>an</strong>Stocks, Global Bonds, <strong>an</strong>d Real Estate. As IWC does not have the expertise to forecastexpected return of other asset classes, a study of 10-15 year expected returns, st<strong>an</strong>darddeviations <strong>an</strong>d correlations prepared by JPMorg<strong>an</strong> is along with IWC assumptionsutilized 36 .The risk, return, <strong>an</strong>d correlations are displayed <strong>in</strong> Table 5 below.Table 5. Risk, return, <strong>an</strong>d correlations for the asset classes <strong>in</strong>cluded <strong>in</strong> the model.Timberl<strong>an</strong>dGlobal StocksEmerg<strong>in</strong>gMarket StocksLarge CapAmeric<strong>an</strong> StocksSmall CapAmeric<strong>an</strong> StocksGlobalBondsRealEstateAnnual return 10.0% 9.5% 10.3% 9.0% 9.3% 4.3% 8.5%St<strong>an</strong>dard deviation 9.0% 17.0% 27.5% 17.5% 23.0% 8.0% 13.0%Timberl<strong>an</strong>dGlobal StocksEmerg<strong>in</strong>gMarket StocksLarge CapAmeric<strong>an</strong> StocksSmall CapAmeric<strong>an</strong> StocksGlobalBondsRealEstateCorrelation on quarterly returnsTimberl<strong>an</strong>d 1.00 0.05 0.07 0.07 0.06 0.05 0.06Global Stocks 1.00 0.68 0.92 0.80 -0.01 0.24Emerg<strong>in</strong>g Market Stocks 1.00 0.55 0.54 0.01 0.23Large Cap Americ<strong>an</strong> Stocks 1.00 0.88 -0.15 0.20Small Cap Americ<strong>an</strong> Stocks 1.00 -0.08 0.27Global Bonds 1.00 -0.04Real Estate 1.00———————————————————————————————35IWC <strong>in</strong>ternal <strong>an</strong>alysis, 200736JP Morg<strong>an</strong> Asset M<strong>an</strong>agement Long-term Capital Markets Return Assumptions. 2008.


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 224.2 Efficient Frontier AnalysisOn the basis of IWC’s asset allocation model, two efficient frontiers have been produced:one that allows allocations to <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong>, <strong>an</strong>d <strong>an</strong>other one where <strong>timberl<strong>an</strong>d</strong>is excluded from the <strong>portfolio</strong>.The results are shown <strong>in</strong> Figure 18 below.12%11%10%Annual Retur9%8%7%6%5%4%0% 5% 10% 15% 20% 25% 30%St<strong>an</strong>dard DeviationWith Timber Without Timber Global StocksEmerg<strong>in</strong>g Market Stocks Global Bonds Real EstateTimberl<strong>an</strong>d Large Cap Americ<strong>an</strong> Stocks Small Cap Americ<strong>an</strong> StocksFigure 18. Efficient frontier for <strong>an</strong> <strong>in</strong>stitutional <strong>portfolio</strong> <strong>in</strong>clud<strong>in</strong>g <strong>an</strong>d exclud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong><strong><strong>in</strong>vestments</strong>.In Figure 18, the full-l<strong>in</strong>ed green-colored curve is the efficient frontier when <strong>timberl<strong>an</strong>d</strong> isallowed <strong>in</strong> the <strong>portfolio</strong> <strong>an</strong>d the dashed or<strong>an</strong>ge-colored curve is the efficient frontier when<strong>timberl<strong>an</strong>d</strong> is not allowed <strong>in</strong> the <strong>portfolio</strong>. Note that the efficient frontier is reach<strong>in</strong>g alarger return <strong>an</strong>d a lower risk, when <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> the <strong>portfolio</strong>.It is evident from Figure 18 that allow<strong>in</strong>g <strong>an</strong> allocation to <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> a <strong>portfolio</strong> isbeneficial as a <strong>portfolio</strong> with <strong>timberl<strong>an</strong>d</strong> will be superior to a <strong>portfolio</strong> without <strong>timberl<strong>an</strong>d</strong>.This is further subst<strong>an</strong>tiated by the high optimal allocation to <strong>timberl<strong>an</strong>d</strong>.The <strong>in</strong>cremental benefits of <strong>in</strong>clud<strong>in</strong>g <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> the <strong>portfolio</strong> are summarized <strong>in</strong>Table 6 below.Table 6. Incremental benefits of allow<strong>in</strong>g allocation to <strong>timberl<strong>an</strong>d</strong>.Return Target Risk Level Ch<strong>an</strong>ge from B aseIncl. Timberl<strong>an</strong>d 5.29%8.0%Excl. Timberl<strong>an</strong>d 9.22%3.93%Incl. Timberl<strong>an</strong>d 5.64%8.5%Excl. Timberl<strong>an</strong>d 10.44%Incl. Timberl<strong>an</strong>d 6.12%9.0%Excl. Timberl<strong>an</strong>d 11.92%4.80%5.80%


TIMBERLAND INVESTMENTS IN AN INSTITUTIONAL PORTFOLIO 23The table above shows the subsequent reduction of risk when <strong>in</strong>clud<strong>in</strong>g <strong>an</strong> allocation to<strong>timberl<strong>an</strong>d</strong> <strong>in</strong> a diversified <strong>portfolio</strong>. As <strong>an</strong> example, the table shows that if we <strong>in</strong>clude <strong>an</strong>optimal allocation to <strong>timberl<strong>an</strong>d</strong> <strong>in</strong> a <strong>portfolio</strong> with a target <strong>an</strong>nual rate of return of 8.5%,the expected st<strong>an</strong>dard deviation c<strong>an</strong> be reduced from 10.44% to 5.64%.4.3 Threshold AnalysisA threshold <strong>an</strong>alysis has been performed to establish at which rate of return <strong>timberl<strong>an</strong>d</strong><strong><strong>in</strong>vestments</strong> are not <strong>in</strong>cluded <strong>in</strong> the optimal allocation.Table 7. Threshold <strong>an</strong>alysis show<strong>in</strong>g at which return <strong>timberl<strong>an</strong>d</strong> should not be <strong>in</strong>cluded <strong>in</strong> theoptimal allocation.ReturnP ortfolioTimber NormalTimber IndifferencePo<strong>in</strong>tDecl<strong>in</strong>e to reach8.0% 10.0% 3.9% 6.1%8.5% 10.0% 4.2% 5.9%9.0% 10.0% 6.6% 3.4%Table 7 shows that <strong>timberl<strong>an</strong>d</strong> should still be <strong>in</strong>cluded <strong>in</strong> <strong>an</strong> <strong>in</strong>stitutional <strong>portfolio</strong> with areturn of 8.5%, even if the nom<strong>in</strong>al return of <strong>timberl<strong>an</strong>d</strong> decl<strong>in</strong>es by 5.9% from theexpected 10% to 4.2% <strong>an</strong>nually.From Table 6 <strong>an</strong>d 7 it c<strong>an</strong> be derived that <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> have a positive impacton the risk level of the total <strong>portfolio</strong> <strong>an</strong>d that the return expectations of <strong>timberl<strong>an</strong>d</strong><strong><strong>in</strong>vestments</strong> could be lowered signific<strong>an</strong>tly before they should be omitted from the<strong>portfolio</strong>.It is IWC’s belief that <strong>timberl<strong>an</strong>d</strong> <strong><strong>in</strong>vestments</strong> will cont<strong>in</strong>ue to have a positive impact onthe asset <strong>portfolio</strong> of <strong>an</strong> <strong>in</strong>stitutional <strong>in</strong>vestor as there are no <strong>in</strong>dicators that a global<strong>portfolio</strong> of <strong>timberl<strong>an</strong>d</strong> will yield a nom<strong>in</strong>al return signific<strong>an</strong>tly lower th<strong>an</strong> 10% <strong>an</strong>nually<strong>in</strong> the future.


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