Commodities Friends or Foe

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    Ifocus February 2010

    Investment management

    Henry H. McVey

    Managing Director

    Head, Global Macro and Asset Allocation

    212 296 0404

    [email protected]

    Coodii: Frid or Fo ?

    Executive Summary

    I h i bui, I h co o pprci h hr r lwy oppoiiw o rk, cor, yl d ock. Wh h d hi ri o p

    lil or iri or i h, whil y bckroud i i cil ric, y

    old brohr proiol purui r likd o rl d ry ii (i..,

    hrd ). no doub, I h rlly b o h loi d o hi db i rc

    yr, hrd h ily ouprord cil or h br pr o

    dcd. mki r wor i h h h hd h ood o r hi cr i

    buiul Chrloill, virii, whil I coiu o rid i ou i mh!

    gi h h drub urroudi hrd ii o row loudr ch

    dy, w r icrily bi kd by our cli whhr hr i ill i l o

    iully coi cpil o coodii hi poi i h cycl. Our wr i,

    w hik o, bu i i crily o h o brir h w xpcd wh w rd our

    dp di io h coodiy r (pl o h w r ui h gsCI proxy

    i hi lyi). Our cocluio r ollow:

    W bli h coodii r rh i r o porolio llocio i hir

    rol iio hd. Ti chrcriic i or coplli rli o ohr

    cl uch rl i o bli h ir r r oi o ri.

    Coodii c lo c ipor dirir i y ic, priculrly

    duri priod o hihd opoliicl io.

    Coodii do h o obl horcoi, icludi hir prorc

    duri priod o cooic wk. Ty h lo bco icrily corrld

    o ub o h quiy rk. I ddiio, coodiy i c lo dd

    iic oliliy o porolio.I h curr coo iro, h i roll ur o coodii

    c c iic dr o orll prorc.

    Looki h bi picur, coodiy prorc duri h l dcd h b o

    ouizd rli o p cycl h i do k u wodr whhr h lio hr

    o bolu rur i h cl h lrdy b chid. a uch, i uibl, w

    bli h coodii hould rpr roud 5-7% o orll i porolio

    or lr iiuiol ccou d h llocio hould b cicl i ur, i

    uch ro prorc ro nobr 2001 hrouh Fbrury o hi yr.1

    1

    D ro nobr 6, 2001 hrouh Fbrury 2, 2010.

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    Commodities: The Premier Inflation Hedge

    Krl mrx oc id, a coodiy ppr r ih xrly obiou, riil hi. Bu i lyi bri ou h i i ry

    r hi, boudi phyicl ubli d holoicl ici. mr. mrx crily did o dbbl i cro ii or

    llocio, bu I hik h w oo ohi. spciclly, w bli o o h r iru o coodii i h hy c hlp r

    iio hd. O c hi ur clrly i Exhibit 1. I how h coodii hioriclly prord wll i priod o hih

    iio, rii iio or iio hock. Duri h priod, boh quii d bod howd dippoii prorc d

    hc ild o r ci hor-r iio hd.

    Exhibit 1: Correlation of asset classes with inflation

    -60

    -50

    -40

    -30

    -20

    30%

    0

    10

    20

    -10

    Inflation Change Expected

    Inflation

    Unexpected

    Inflation

    Stocks Bonds Commodity Futures

    Ination: YoY% CPI. Expected ination: T-bill rate as proxy. Unexpectedination: Ination - Expected ination. Data is quarterly from July 1, 1959to December 31, 2004. Past performance is no guarantee of future results.

    Source: Gorton & Rouwenhorst, Facts and Fantasies about CommodityFutures. Draft: February 28, 2005.

    Exhibit 2: Rolling five-year correlations with change

    in inflation

    -0.4

    -0.2

    0.6

    0.4

    0.2

    0.0

    01/03 01/04 01/05 01/06 01/07 01/08 01/09

    US Equities US Bonds Commodities US TIPs

    Data from January 1, 2003 to December 31, 2009. Past performance is noguarantee of future results.

    The asset classes shown are based on the S&P 500, Ibbotson Corporate BondIndex, S&P GSCI and Barclays Global Ination Linked Bonds - US TIPS, repectivel

    Source: MSIM, Bloomberg, Datastream

    W bli h iio-hdi ur o coodii ri po, i ody olil rk. a how i Exhibit 2, o rolli -yr bi, coodii d ou br iio hd h quii, bod or tIPs. Iporly, coodii

    rliohip wih iio h rlly ood h i priod o boh rii d lli iio, hrouh i wh ohr

    rk cully ild iio hd.

    More Effective Short-Term Hedge than Real Estate, Particularly in Moderate Rate Environments

    a llocor w pk wih o lup coodii d corcil rl (CRe) ohr udr h brod cory o iio

    hd. W co ru i h udl loic h boh hrd cl c poilly proid iio procio or h

    lo r, bu or ior who lo kp hir y o horr i horizo (y, 6-12 oh), w hik bucki coodii d

    CRe ohr i ohi o oriplicio.

    a ky diicio i h CRe ior ypiclly purch hir ui lo-r ci, which dd criicl l o ir-r iiiy o hir i dciio. Exhibit 3 how h i odr ir-r iro (4-8% 10-yr trury yild),

    hr i lil corrlio bw rl d ch i iio r. Ti obrio ppli or boh ReIt ( urd by

    h naReIt equiy ReIt Idx) d dirc rl ( urd by h nCReIF Idx) prorc. Oly i ulr-low ir-

    r iro (0-4% 10-yr trury yild)whr dio i ypiclly h prdoi rik bi pricd i by h rkdo

    CRe how coplli poii corrlio wih iio r rd. By coprio, w oud h h gsCI coodiy idx

    xhibid ro poii corrlio wih hor-r iio (Exhibit 4) cro illy ll r iro.

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    Exhibit 3: Short-term inflation-hedging power of

    real estate is often compromised by its interest-

    rate sensitivity

    -0.4

    -0.2

    0.0

    0.2

    0.4

    1.0

    0.8

    0.6

    04%

    0.68

    0.78

    0.11

    -0.20

    0.35

    -0.14

    48% >8%

    NCREIF Property Index Equity REITs (TR)

    Correlation Between Real Estate Indexes and Inflation Rate y/y Change,

    in Various Yield Environments

    Initial US10yr Yield

    Ination rates measured by US CPI. Data from December 31, 1978 to

    December 31, 2009. Past performance is no guarantee of future results.Source: Bloomberg, MSIM

    Exhibit 4: But the inflation-hedging power of

    commodities has been strong across various

    yield environments

    0.0

    0.1

    0.2

    0.3

    0.4

    0.9

    0.6

    0.7

    0.8

    0.5

    04% 48% >8%

    0.85

    0.72

    0.59

    Correlation Between GSCI Index and Inflation Rate y/y Change,

    in Various Yield Environments

    Initial US10yr Yield

    Ination rates measured by US CPI. Data from December 31, 1978 to

    December 31, 2009. Past performance is no guarantee of future results.Source: MSIM, Bloomberg

    A Good Diversifier in Many Market Conditions

    Bid ci ro iio hd, coodii c poilly dd diricio b o o porolio duri orl

    rk codiio. Exhibit 5udrcor hi iw, w how coodii h illy b ucorrld o 60/40 quiy/bod

    porolio duri o-r priod i h lobl cpil rk. no urpriily, coodii h lo prord wll wh hr h

    b rii opoliicl io. For xpl, i h priod ldi up o h Fir gul Wr, h scod Irq Wr d h 2008 middl

    e ucriy, coodii hid, priculrly rli o ock (Exhibit 6, next page).

    Exhibit 5: Commodities have been weakly correlated to a traditional equity/bond portfolio during

    normal market conditions

    Global

    Macro/GTAA

    EM Equities US REITs Senior Loans US High Yield US TIPs EM Debt Commodities Currency Hedge Funds Volatility

    Normal Periods

    -1.0

    -0.5

    0.0

    0.5

    1.0

    -0.07

    0.54

    0.01

    0.22

    0.46

    -0.10

    0.55

    -0.04 -0.03 -0.06

    -0.47

    Correlation with a 60/40 Traditional Portfolio

    Data from January 1, 1990 to December 31, 2009. Past performance is no guarantee of future results.

    The 60/40 Traditional Portfolio is this paper consists of 60% equities (30% S&P 500, 30% MSCI World ex USA) and 40% bonds (20% Barclays US Aggregate, 20%

    JPM Global Govt Bond ex USA). The asset classes shown are based on the HFRX Macro Index, JPM EMBI Global, FTSE / NAREIT Equity REITS Index, S&P/LSTA

    Leveraged Loan Index, Barclays US Corporate High Yield Index, Barclays Global Ination-Linked Bonds - US TIPS, MSCI EMF Gross Index (Local), S&P GSCI, Barclays

    Trader Indexes Currency, HFRI Fund of Funds Composite Index and CBOE SPX Volatility Index, respectively.

    Source: MSIM, Bloomberg

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    Exhibit 6: Geopolitical risk tends to drive divergence between commodity and equity performance

    10

    20

    10

    0

    1990: Onset of Gulf War 2003: Months leading up to

    Second Iraq War

    Mid 2008: Middle East

    Uncertainty; Rising

    Commodity Prices

    US Equities Commodities

    AverageMonth

    lyReturns(%)

    Onset of Gulf War data from July 31, 1990 to August 31, 1990; Months leading up to Second Iraq War data from December 31, 2002 to February 28, 2003;

    Middle East uncertainty data from May 31, 2008 to June 3, 2008. Past performance is no guarantee of future results.

    The asset classes shows are based on the S&P 500 Index and S&P GSCI, respectively.

    Source: MSIM, Bloomberg, Datastream

    But Not a Protection Agent During Economic Downturns

    I hr i achill Hl o coodiy ii, howr, i h o b h coodii h o b ood dirir i

    dowur. a Exhibit 7how, corrlio wih rdiiol 60/40 quiy/bod porolio h jupd ro i 4% o rli

    43% duri priod o rk r. Ti lck o diricio i bi dl ( our o, mi Rik: Bck o Bic, Dcbr

    2009), d crily dipl y oio h diricio b occur by ju ddi or i cl o porolio. T

    ro or h gsCI dr corrlio wih ohr duri r priod, w bli, i h cil cri r o ocid

    wih dclii iio, which i h or coodiy prorc (Exhibit 8).

    Exhibit 7: When markets are in turmoil, commodities may not serve as a good diversifier to a traditional portfolio...

    Global

    Macro/GTAA

    EM Equities US REITs Senior Loans US High Yield US TIPs EM Debt Commodities Currency Hedge Funds Volatility

    Stress Periods

    -1.0

    -0.5

    0.0

    0.5

    1.0

    0.26

    0.68

    -0.05

    0.49

    0.590.52

    0.76

    0.43

    -0.30

    0.32

    -0.69

    Correlation with a 60/40 Traditional Portfolio

    Data from January 1, 1990 to December 31, 2009. See Exhibit 5 footnotes for details on the indices representing these asset classes. Past performance is no guaranteeof future results.

    Source: MSIM, Bloomberg.

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    Exhibit 8: Commodities have not performed well in declining ination environments, which are usually

    led by equity market downfalls

    US Equity Return (%)

    GSCIReturn(%)

    Cases Against Commodities

    Declining Inflation

    slope= 0.80

    -30

    -10

    -20

    20

    10

    0-18 -12 -6 0 6

    Data from January 1, 1990 to December 31, 2009. Past performance is no guarantee of future results.

    US equity return as measured by the S&P 500 Index.

    Source: MSIM, Bloomberg

    Correlations Are Rising

    W bli h coodii h rdiiolly rd xcll dirir o rdiiol quiy/bod porolio, hy dord

    i corrlio o boh quii d bod. Or i, howr, h corrlio o coodii o quii d bod h

    icrd. I priculr, corrlio kyrockd or h p wo yr (Exhibit 9).

    W lik hi ur o, o ohr hi, h ollowi: low ir r, rr liquidiy, lowr ricio co d hir icrd

    cocio o ri rk.

    Exhibit 9: Commodities are now increasingly correlated to equity markets, especially emerging market equities

    -0.50

    -0.25

    0.50

    0.25

    0.00

    93 95 97 99 01 03 05 07 09

    US Equities EM Equities US Bonds

    60-month Rolling Correlation with Commodities

    Data from January 1, 1993 to December 31, 2009. S&P 500, MSCI EMF Gross Index (local) and Barclays US Aggregate Bond Index were used for this correlation,respectively. Past performance is no guarantee of future results.

    Source: MSIM, Bloomberg

    Higher Volatility Investment

    aohr ky coidrio o coodiy i i hir poil ipc o orll porolio oliliy. Exhibit 10 (next page) how

    h h gsCI h dord iicly hihr oliliy h quii d bod, pcilly or h p dcd. ery h b

    ky drir o h ld oliliy, coribui or h 90% o h ric i h gsCI, whil ccoui or oly bou 70% o h

    idx wih (Exhibit 11, next page)

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    Exhibit 10: Annualized volatilities of various asset

    classes

    0

    5

    30

    15

    20

    25

    10

    US Equities International

    Equities

    Emerging Markets

    Equities

    US Bonds International

    Bonds

    Commodities

    1/1/199012/31/2009 1/1/200012/31/2009

    Annualized Volatility (%)

    Data as of December 31, 2009. Past performance is no guarantee of future results.

    The asset classes shown are based on the S&P 500 Index, MSCI World ex-US,JPM EMBI Global, Barclays US Aggregate, JPM Global Government Bond ex-USand GSCI, respectively.

    Source: MSIM, Bloomberg

    Exhibit 11: Energy sector has accounted for most of the

    GSCI volatilities

    Contribution to GSCI Volatility

    Energy, 92.1%

    Precious Metals, 0.7%

    Industrial Metals, 3.3%

    Agriculature, 3.8%Livestock, 0.2%

    Data from January 1, 2000 to December 31, 2009. Past performance is noguarantee of future results.

    Asset class based on GSCI.

    Source: MSIM, Bloomberg

    Potential Drag from the Contango Market

    I ddiio o h dyic o h coodiy po rk, o u b wr h h liquid i iru ud by ior

    o i xpour o coodii r coodiy uur. sic h o liquid coodiy uur h urii o o or h w

    oh, o u roll xpiri corc o h x o o h r rucur. I h uur cur i bckwrdd (dowwrd lopi),

    o would pro ro lli h xpiri corc hihr pric d buyi h icoi corc lowr pric. I h cur i i

    coo (upwrd lopi), o h ohr hd, o would xpric lo by iply rolli h uur corc orwrd.

    a how i Exhibit 12, h gsCI xpricd poii roll rur i h 1980 d 1990, dri pririly by bckwrdd ry

    rk. sic h rly 2000, howr, h roll rur h bco iic dr o h orll gsCI prorc. a how i

    Exhibit 13, h gsCI h rd ulizd po rur o 9.3% ic 2000. Howr, h roll rur h b o i h hxc ol rur o h idx h b ju 1.2%. I c, h roll rur dr w o r or h riculurl d liock roup

    h xc rur wr iicly i duri hi priod.

    Exhibit 12: Cumulative roll returns from GSCI and its

    sub-components

    0.0

    1.0

    4.0

    3.0

    2.0

    1970

    1973

    1976

    1979

    1982

    1985

    1988

    1991

    1994

    1997

    2000

    2003

    2006

    2009

    GSCI Energy Industrial Metals

    Agr icu ltu re Li vestock Prec ious Meta ls

    Cumulative Roll Return

    Data from January 1, 1970 to January 31, 2009. Past performance is noguarantee of future results.

    Source: MSIM, Bloomberg

    Exhibit 13: Roll returns from 2000 have been a drag in

    every commodity sector

    -12

    -8

    -4

    16%

    12

    8

    4

    0

    GSCI Energy Industrial

    Metals

    Precious

    Metals

    Agricultural Livestock

    Excess Return Spot Return Roll Return

    S&P GSCI Indices Annualized ReturnsSince 2000 through February 8, 2010

    Data from January 1, 2000 to February 8, 2010. Past performance is noguarantee of future results.

    Source: MSIM, Bloomberg

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    Late to the Party?

    Whil coodii h proidd ubil rur or h p dcd, w r bii o wodr i h o rc bull

    rk i h cl y b bii o plu. I hiory i y uid, h h wr i crily y. a Exhibit 14illur,

    coodii hioriclly h xpricd i-yr priod o ro rur, ollowd by lo, lrly idwy o i h

    cl or ddiiol 15 o 20 yr. For xpl, coodii pprcid 230% i i yr ro 1971 o 1980, bor

    rdi i r or 19 yr duri h 1980-2001 priod.

    W d i oworhy h w y b pprochi hi do-ohi , i h w r lrdy or h ih yr io h

    curr bull rk or coodii, h cuuli rur i coodii h lrdy rchd 158%or or h 70% o prior

    cycl pk rurd h cl rli rh ru ock (Exhibit 15) ow ppr o b wi o h ri.

    Exhibit 14: Commodity bull market possibly close

    to an end?

    50

    100

    150

    00

    50

    300

    350

    00

    50

    00

    50

    00

    50

    700

    750

    00

    1956

    1961

    1966

    1971

    1976

    1981

    1986

    1991

    1996

    2001

    2006

    2009

    Flat / Down

    9/11/1956 - 11/16/1971

    Ann. Return: -0.1%

    Cum. Return: -1.3%

    Ann. Volatility: 5.5%

    Length: 15.2 Years

    Up

    11/16/1971 - 11/4/1980

    Ann. Return: +14.2%

    Cum Return: +230.0%

    Ann. Volatility: 14.1%

    Length: 9.0 Years

    Flat / Down

    11/4/1980 - 11/6/2001

    Ann. Return: -2.7%

    Cum Return: -43.3%

    Ann. Volatility: 9.6%

    Length: 21.0 Years

    Up

    11/6/2001 - 2/2/2010

    Ann. Return: +12.1%

    Cum Return: +157.7%

    Ann. Volatility: 15.7%

    Length: 8.2 Years

    CRB Continuous Commodity Index

    Data from January 1, 1956 to February 2, 2010. Past performance is noguarantee of future results.

    Source: Bloomberg, MSIM

    Exhibit 15: Commodity relative strength against stocks

    also weakening

    0.1

    1.0

    10.0

    1960

    1965

    1970

    1975

    1980

    1985

    1990

    1995

    2000

    2005

    2010

    ?

    S&P 500 Index/CRB Continuous Commodity Index (Log Scale)

    Data from January 1, 1960 to February 2, 2010. Past performance is noguarantee of future results.

    Source: MSIM, Bloomberg, Datastream

    Conclusion: So How Much Is Enough?

    Dpi o o h oriod horcoi, w do hik i k o h coodii i porolio h dy,

    priculrly i h ubil ory iulu ijcd io lobl cooy. T quio h bco: How uch i ouh?

    Our bic rcodio i h, ll l bi qul, 5-7% i probbly robl ubr o r (Exhibit 16). W b hi

    rcodio o h ollowi:

    1) sic coodii d o h hihr olilii h ohr rk, ddi h o porolio o rul i hihr rik or

    h i. Whil ddi 5-7% o coodii o rdiiol 60/40 porolio would o h jor ipc o h porolio

    oliliy, ddi 10% or or o coodii o h porolio i dir ory (Exhibit 17). no doub, o u blc h

    poil lu-ddd ro coodii wih h hihr rik h hy bri o h porolio. Ti iw i coi wih h o

    our collu Hui allidi, who hd mor sly coodiy rrch or (pl hi ull rpor, Bi ro

    norlcy, July 2009, or or iih rld o udrlyi coodii d hir rol i h i/ llocio proc).

    2) T cod criicl cririo or icluio i porolio llocio i h h cl hould dd diricio b. a

    dicud rlir i hi ppr, coodii i rl h dord wk corrlio wih jor rkwhich i ood w.

    T bd w i h i rc yr hy h bco icrily corrld o ri rk quii, d hir corrlio wih

    dlopd quii h icrd iicly duri rk dowur.

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    goi orwrd, w do o xpc h rur/rik ur o ch driclly or coodii rli o ohr jor rk.

    Tu, llocio o 5-7% i ppropri o u, w bli h ollowi: ) coodii dr plc i uli- ric

    bchrk, or hir diricio d i priculr iio-hd ur; d b) coodii hould o ccou or lr

    porio o ric porolio du o hir hihly olil ur d driori diricio b.

    Exhibit 16: Adding 5-7% commodities to a 60/40

    portfolio has historically improved risk-adjusted

    returns

    0.3

    0.5

    1.1

    0.9

    0.7

    0% 20% 40% 60% 80% 100%

    Commodity Weight

    Portfolio Return/Risk Ratio

    Best Return/Risk

    Trade-off

    Data from January 1, 1980 to December 31, 2009. See Exhibit 5 footnotesfor details on this hypothetical portfolio. Past performance is no guarantee offuture results.

    Source: MSIM, Bloomberg, Datastream

    Exhibit 17: ...Although they add volatility to the

    portfolio as well

    9.0

    9.1

    9.6

    9.3

    9.4

    9.5

    9.2

    0 5 7 10 15

    Portfolio Volatility (%)

    Commodity Weight (%)

    Data from January 1, 2000 to December 31, 2009. See Exhibit 5 footnotesfor details on this hypothetical portfolio. Past performance is no guarantee offuture results.

    Source: MSIM, Bloomberg

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    Disclosures

    T iw xprd r ho o h uhor o Fbrury 19, 2010. T uhor iw r ubjc o ch y i du o rk or cooic codiio wihou

    oic o h rcipi o hi docu. T iw xprd do o rc h opiio o ll porolio r msIm, or h iw o h r whol, d

    y o b rcd i h ri d produc h h Fir or.

    Ti docu h b prprd olly or ioriol purpo d i o or, or oliciio o or, o buy or ll y curiy or iru or o

    pricip i y ry. Iorio i hi prio do o cod o ddr h cil objci, iuio or pcic d o y idiidul ior.

    Pl coidr h i objci, rik d o h cil iru lo wih your prol uiqu iuio prior o ki y i dciio.

    I ddiio, y dciio o i hould b d i rlic upo h rl ori docu o h produc cocrd. a cil proiol c hlp

    ior wih hir idiidul iuio prior o ki y i dciio.

    a llocio d diricio do o lii rik o lo or proc you i lo i priculr rk; howr i llow you o prd h rik croriou cl.

    Pl b wr h cri cl d i r or olil h ohr, uch : Coodii r or olil h ock d bod, d ori ock

    r or olil h doic ock. I ddiio, coodii d copy ock r or olil h bod, d gor bod d trury Bill r

    urd o h ily py o pricipl d ir, i hld o uriy. sior lo r rlly rd blow i-rd by ri ci, d i

    rr crdi rik h hihr-quliy, i- rd curii uch U. s. truri. Hd ud i y b pculi d iclud hih dr o

    rik. accordily, ior could lo ll or ubil ou o hir i.

    all i iol rik, icludi h poibl lo o pricipl. T commodities markets y ucu widly bd o riy o cor, icludi bu o

    liid o ch i orll rk o, doic d ori poliicl d cooic d polici, wr, c o rrori, ch i doic or ori

    ir r (iio r) d/or ior xpcio cocri ir r (iio r), d i d rdi ciii o uul ud, hd ud

    d coodii ud. I i foreign markets il pcil rik uch currcy, poliicl, cooic, d rk rik. T rik o ii i emerging-

    marketcouri r rr h h rik rlly ocid wih ori i. Real estate rik c iclud ucuio i h lu o udrlyi propri;

    ch i rl d locl cooic codiio; d ohr cooic, poliicl or rulory occurrc ci h rl idury. Fixed income curiir ubjc o crdi d ir-r rik. Crdi rik rr o h biliy o iur o k ily py o ir d pricipl. Ir-r rik rr o

    ucuio i h lu o xd-ico curiy ruli ro ch i h rl ll o ir r. I dclii ir-r iro, h porolio y

    r l ico. I rii ir-r iro, bod pric ll. I i curii rd blow investment grade (cooly kow juk bod)

    pr rr rik o lo o pricipl d ir h i i hihr-quliy curii.

    P prorc i o ur o uur rul. Chr d rph proidd hri r or illuri purpo oly. Ti ril h b prprd ui ourc o

    iorio rlly blid o b rlibl bu o rprio c b d o i ccurcy. Forc/i r bd o curr rk codiio, ubjc o

    ch, d y o crily co o p. Prorc o ll cid idic i clculd o ol rur bi wih diidd rid. T idic do o iclud

    y xp, or chr d r ud d hould o b coidrd i. a ior c o i dircly i y idx.

    T iorio i hi rpor, i or ioriol purpo oly, d hould i o wy b coidrd rrch rpor ro mor sly I m

    (msIm), msIm do o cr or produc rrch.

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    10 |

    2010: Meaningful Mean Reversion

    Jury 2010a w o io 2010, ior c quio

    bou y o h ky drir o h rc rk rlly. I hi l

    ricl, Hry H. mcvy ru h, ulik 2009, y o h

    r opporuii i h w yr will o b h obiou, culrlo-r opporuii. Rhr, h bli, 2010 will b bou

    ki d o l-crowdd, cyclicl -rrio rd.

    Institutional CIO Confidence Index

    Jury 2010mor sly I m i proud

    o iroduc i Iiuiol CIO Codc Idx. Dlopd

    hrouh prrhip wih grwich aoci, h Idx

    ur how cod chi i ofcr r i i

    rur r or hir porolio or h x 12 oh. a

    rul, w bli h h Idx proid ccur u o h

    po-crii i o CIO Us public ud, corporio,

    dow d oudio.

    Managing Risk: Back to Basics

    Dcbr 2009I h wk o h crii i lobl cpil rk,

    ior r udrdbly ocud o h iu o rik d h

    propr o i. Bu how xcly hould rik b dd

    d pprochd? msIm Hry mcvy ru h ci rik

    proc hould cr roud op-dow rwork

    or i ric rik i porolio.

    Scenario Analysis of Illiquidity Surges

    Dcbr 2009For ior holdi illiquid , 2009

    quiy rk rlly po iri dil: How do ior

    hih rowh i illiquid llocio h occur rul o

    ro ock rk rur? I hi ppr, w ddr hi d ohr

    ky quio o porolio liquidiy, d poil illiquidiy ur,

    i priod o bl d xr quiy rk rur.

    Inflation Outlook: On the Razors Edge

    nobr 2009a y ior worldwid r bou

    poilly rii iio, msIm Hry H. mcvy poi h

    rk r ih b iplcd, rui id h ucoorbly

    low iio i uch bir rik o lobl rk i 2010.

    Charting the Comeback Trail in Japan via

    Small-Cap Equities

    nobr 2009a world cooi y o h ph o rcory,

    Jp ri ihr oro or oidd by o ior. I hi

    ry corrc? Or r ior riki bi udrxpod o

    poilly iic priod o ouprorc or Jp ock?

    I o, wh pr h o rci opporuiy: lr or ll

    cp? I hi ppr, w ckl h quio, d xi Jp

    ock i rl d ll cp i priculr.

    Recovery Myths

    Ocobr 2009a h Us cooy coiu o how i o

    ipro, y ior h bu o wodr bou h

    uibiliy d rh o h rcory. I hi rrch rpor,

    Richrd Brr ckl hi iu, d idi wh h bli rhr yh currly uli hi cooic db.

    A Changing of the Guard

    Ocobr 2009T lobl quiy rk rcory h o r b

    dd by ro rlly i hih-b ock. Bu hiory u

    h h juk rlli h ypiclly ld, o r, bou ix

    oh ro h rk rouh. I hi ppr, Hry H. mcvy

    ru h w r ow o h cup o jor hi i lobl quiy

    rk ldrhip.

    Investing in a Horizontal WorldOcobr 2009Corrlio o world cooi d

    cl h icrd driclly o l. Bu i hi iuio

    uibl i h lo ru? I hi ricl, Ruchir shr ru

    h h c or diriio bd o locl cor i ro

    d i ror.

    The New Landscape for Fixed Income: From

    Treasuries to TALF

    Ocobr 2009a h lobl crdi crii how i o i,

    iiuiol ior coro crucil iu: How o xploi

    h w i ldcp o r h hihr poil

    rur o quii, whil rii o ii h lowr oliliy

    o ocid wih xd ico? I hi whi ppr, w

    ddr hi quio, d propo rwork hrouh which

    ior c up opporuiic xd-ico porolio.

    Financials: Less Bang for Your Beta

    spbr 2009T gr Rcio h udoubdly k

    hy oll o cil. Bu ow h h dowur h bu

    o how i o bi, how c ior b xplor poil

    opporuii wihi h cor? I hi ppr, Hry mcvy

    ckl hi ky iu, d hr hi oulook or cil.

    Convertible Bonds: Back in the Spotlight

    auu 2009Whil opii ppr o h rurd o

    lobl cpil rk, ucriy urroudi h ii o h

    cooic rcory h ld o ior o ri idlid uil

    uibl rcory proc bco or clrly dd. Bu

    how do you dri opil rk ry poi? I hi ppr,

    w ii coribl bod poil oluio o h

    curr rk-ii dil.

    mor sly I m PublicioFollowing are recent thought-leadership papers covering a range of investment issues

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    | 11

    For a copy of any of these papers, please e-mail us at [email protected] or visit our website atwww.morganstanley.com/im.

    T iw d opiio xprd wihi h publicio r ho o h uhor, r bd o r hy xi o h d o prprio d

    o o y uur d, d will o b updd or ohrwi rid o rc iorio h ubquly bco ilbl or circuc xii,

    or ch occurri, r h d hro.

    US Corporate ProfitabilitySupport on the Margin

    auu 2009alhouh Us corpor ri h droppd

    ply ic h r o h gr Rcio, ri or o-

    cil r h b urpriily rili coprd o priou

    dowur. Wh do h o quiy rdi ll? Do hi

    rpr cicl opporuiy? Hry mcvy proid wr i

    hi ricl.

    Challenges to Rebalancing the US Economy

    July 2009T lobl cil crii h xpod h ulrbiliy

    o ublcd Us d lobl rowh. T ui rcio,

    howr, i ow hlpi o rblc h Us cooy. T

    quio ow i: Will hi rblci proc b bi or

    cooi d rk, or will i b dirupi? I hi ppr, w

    ckl hi difcul quio by xii h chll hd

    or h Us cooy.

    The Renaissance of Global Macro Investing

    July 2009I hi iuurl ricl ic ruri o mor sly,Hry mcvy, msIm Hd o globl mcro d a allocio,

    hihlih hi curr iw o h dircio o cil rk, d

    ru h ky upho o h gr Rcio will b ud

    rol or h rdiiol op-dow, cro-ii pproch.

    Operational Improvement: The Key to Value Creation

    in Private Equity

    July 2009T lobl cil crii i rhpi h pri

    quiy ldcp. Whil liri ih crdi h icrd

    copiio or w dl, opporuii or ho ru o o

    udrprori i r ow liid. a rul, pri

    quiy r h bco or dpd o hir biliy o

    ipro opriol prorc i ry dl o r rci

    rur. Bu wh i h b wy o hc oprio d ulock

    lu ro porolio copi? I hi ppr, w xi h

    y pproch r c k i dployi opriol xpri.

    Surplus Targets and Percentile Fans

    Ju 2009Whil i ud ll o urplu (or

    dci) hould o, by il, dri i i ry,

    y iord porolio dciio hould k h ubr io

    coidrio. Bu o, quio ri: How c ud

    r dri, or xpl, h h ll o quiy bxpour o hir porolio i dqu o hir uur d? I hi

    ppr, w ddr hi d ohr iu, proidi rwork or

    udrdi b xpour.

    How the Tight Credit Market Is Augmenting the

    Investment Opportunity for Private Debt Capital

    my 2009T dilocio i h crdi rk h h

    or widi p bw h upply o, d dd or, cpil.

    Wh oluio could poilly ll hi p? Ti ppr u h

    cobiio o rdiiol d o-rdiiol ourc o db

    cpil hould r i rpo o hi iblc. spciclly, wbli h pri crdi cpil ri iddl-rk iur i

    likly o b ipor ocu or ior.

    Return Targets and Percentile Fans

    my 2009a porolio b xpour h rdiiolly b

    ky cor iuci h propc or rchi rur r.

    Bu how uch b do o d o icr o chc o

    xcdi h rik-r r or o-yr priod? Corly,

    how uch b rik i cry o iy r rur i h

    lo ru? I hi ppr, w ddr h iu, d proid

    coplli rwork or udrdi b xpour.

    Looking Beyond the Valley: Identifying Cross Asset-

    Class Opportunities

    my 2009T lobl cooic crii h k hy

    oll o pric cro h i pcru, icludi

    quii, crdi d coodii, cri ubr o dird

    i opporuii. Y, y ior r ill wodri

    how o b h opporuii, d how o rblc hir

    porolio or opil poil rur. Ti ppr ddr h

    quio, d ly ou coprhi rodp or ior o

    u h curr opporuii d plc h i h propr

    hioricl cox.

    Accessing Investment Opportunities in a Real

    Estate Recession

    my 2009W bli h h o r cooic crii ic

    World Wr II i cri h o coplli corcil rl

    opporuii i rio. I hi ppr, w xi h

    cu o h ooi rk corrcio, quiy h ipc o

    h crii o d, d copr h curr rl rcio o

    p rk dowur. Du o h uiqu cobiio o

    h prcipid h curr lowdow, ior could h h

    chc o purch h db d/or quiy o rl wh wiw hioriclly rci r.

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    NOT FDIC INSURED OFFER NO BANK GUARANTEE MAY LOSE VALUE NOT INSURED BY ANY FEDERAL GOVERNMENT AGENCY NOT A DEPOSIT

    2010 mor sly

    www.orly.co/i