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8/9/2019 Commodities Friends or Foe
1/12
Ifocus February 2010
Investment management
Henry H. McVey
Managing Director
Head, Global Macro and Asset Allocation
212 296 0404
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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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
8/9/2019 Commodities Friends or Foe
11/12
| 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.
8/9/2019 Commodities Friends or Foe
12/12
NOT FDIC INSURED OFFER NO BANK GUARANTEE MAY LOSE VALUE NOT INSURED BY ANY FEDERAL GOVERNMENT AGENCY NOT A DEPOSIT
2010 mor sly
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