credit quant sight
TRANSCRIPT
Macro Commodities Forex Rates Equity Credit Derivatives
Please see disclaimer and disclosures at the end of the document
15 March 2010
Cross Asset Quant Research Weekly
www.sgresearch.com
Credit QuantSight
Credit back in line with other markets
■ The lack of concrete news on the sovereign front and the
end of the earnings season have brought an end to the
bullish trend on the stock market. However, credit indices
tightened across the board last week (-4bp for the iTraxx
Main, -13bp for the iTraxx X-Over).
■ We see this outperformance as a correction between the
credit and the other markets since our statistical models
had highlighted credit indices as too wide against the
other markets but they are now fair-valued.
50
55
60
65
70
75
80
85
90
95
100
01/10 02/10 03/10
Main Model
ln Main = 15.4 + ln 1yEq.Vol*0.7 + ln EuroSX 50*-1.7 + ln GovYield *-0.1
The iTraxx Mainnis now almost back in line
with its model value
Option volatility decreased but extreme risk remains high
■ In the exotic space, credit implied volatility decreased
sharply last week, especially on short-term expiries (-8%
for April-10 ATM Main volatility).
■ We see this decrease as a correction between implied
and realised volatility. Indeed, the risk premium between
historical and realised volatility was unsustainably high
and is now back to its historical average.
■ However, the volatility skew is still extremely steep. So,
market participants looking for macro-hedges should buy
ATM options while volatility sellers should focus on OTM
options.
0%
20%
40%
60%
80%
100%
120%
140%
160%
180%
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
3m iT
raxx
Mai
n Vo
l
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
Ris
k pr
emiu
m (%
)
3m Implied Vol 3m Hist Vol Risk premium
Time for negative basis trades
■ The sharp tightening in the past couple of weeks has
pushed the basis between CDS and cash back into
negative territory (-6bp on average in our IG universe).
■ The sectors that offer the best opportunities for negative
basis trades are the sectors that tightened the most last
week: Retailers and Autos companies.
■ For instance, we recommend negative basis trades on
Volvo-14 or Volvo-17 as well as on Casino-13 or Casino-
14.
-130
-80
-30
20
70
120
Sep-09 Dec-09 Mar-10 Jun-10
Adj
uste
d ba
sis
(bp)
0
10
20
30
40
50
60
70
80
90
100
Avg
spr
ead
& S
tdev
Bas
is (b
p)
Average Basis Average CDS spreadStdev Basis
The basis isback into negative
territory whilethe average size
of decreasedfurther
Contents Analysts Credit indices 2 Marc Teyssier (Credit) [email protected] +33 1 42 13 55 96
The volatility corner 10
The correlation corner 11 Julien Turc (Head) [email protected] +33 1 42 13 40 90
Single-name movements 13 Benjamin Herzog (Top-down) [email protected] +33 1 42 13 67 49
Equity vs. Credit 14 Karsten Hippler (Interest rates) [email protected] +33 1 42 13 93 75
CDS Curves 13
Lorenzo Ravagli (Foreign [email protected] +33 1 42 13 73 76
CDS vs. Cash basis 14 Sandrine Ungari (Interest rates) [email protected] +33 1 42 13 43 02
Trade idea monitor 15
Credit QuantSight
15 March 2010
2
Market comments
Credit back in line with other markets The lack of concrete news on the sovereign front and the end of the earnings season have
brought an end to the bullish trend on the stock market. Stocks ended the week slightly
positive (+0.7% for the EuroStoxx) but equity volatility increased last week (+0.6% for 1y
EuroStoxx 50 VarSwap volatility).
For the past month, we had highlighted credit indices as too wide against other markets.
According to our statistical X-asset model, the rise in equity volatility should have resulted in
wider credit spreads (despite slightly higher stocks), but credit indices actually tightened
across the board (-4bp for the iTraxx Main, -13bp for the iTraxx X-Over). We see this
outperformance as a correction between the credit and the other markets: our statistical
model now highlights credit indices as fairly priced against equity, equity volatility and
government rates.
The iTraxx Main is back in line with other markets Like the Main index, the X-Over is now fair valued
50
55
60
65
70
75
80
85
90
95
100
01/10 02/10 03/10
Main Model
ln Main = 15.4 + ln 1yEq.Vol*0.7 + ln EuroSX 50*-1.7 + ln GovYield *-0.1
300
350
400
450
500
550
01/10 02/10 03/10
X-over Model
ln Xover = 11.4 + ln 1yEq.Vol*1.1 + ln EuroSX 50*-1.2 + ln GovYield *0.5
Source: SG Cross Asset Research
Cyclicals and consumers are leading the bullish trend while HY and financials are lagging behind In terms of sector movement, our SHARP model highlights an outperformance of cyclical
companies against non-cyclicals as well as of consumers vs industrials. These movements
reflect the strong performance of Retailers and Autos companies (which are both cyclical and
consumer-related sectors) fuelled by positive macroeconomic figures (euro area industrial
production was up in January and there were gains in US retail sales in February).
Furthermore, financials underperformed non-financials while HY spreads decompressed
against IG. These single-name CDS movements were fairly in line with indices: financial
indices underperformed slightly (+0.8bp for the SenFin against Main) and the X-Over index
widened by 6bp against the Main.
Finally, the outperformance of the US against European companies was brought to a halt as
the CDX IG widened by 3bp against the Main (but it remains almost 10bp too tight against the
Main historically).
Credit QuantSight
15 March 2010 3
The X-Over index widened by 6bp against the Main last week
-100
-80
-60
-40
-20
0
20
40
60
80
100
Sep-09 Oct-09 Nov-09 Dec-09 Jan-10 Feb-10 Mar-10 Apr-1
Alp
ha (b
p)
X-Over = 4.53 x Main + 118.19 R²=93%
+6bp
Relative movements of credit indices
Current alpha 1w mvt 1w (%) 1m mvt 1m (%)
Against Main
X-Over -42.5bp +6.0 +1.5% -12.2 -3.0%
HiVol -31.5bp +3.2 +2.9% +11.4 +10.3%
Sen Fin +17.4bp +0.8 +1.0% -6.1 -7.6%
Sub Fin +26.4bp +0.2 +0.2% -12.4 -9.2%
CDX IG -9.7bp +2.9 +3.4% +3.8 +4.6%
Others
Sub vs. Sen Fin -2.7bp -1.0 -0.7% -0.9 -0.6%
X-Over vs. HiVol +24.8bp -1.3 -0.3% -38.3 -9.3%
Source: SG Cross Asset Research
Credit volatility plummets but beware of extreme risk In the exotic space, credit implied volatility decreased sharply last week, especially on short-
term expiries (-8% for April-10 ATM Main volatility). We see this decrease as a correction
between implied and realised volatility. The risk premium on credit options � i.e. the difference
between implied and realised volatility � was historically high two weeks ago as market
participants, scared by the sovereign debt crisis, had rushed onto the option market to hedge
their credit exposure. This dislocation was not sustainable and volatility arbitrageurs took
advantage of this by selling volatility.
The risk premium tightened sharply as volatility decreased… … but the volatility smile is historically steep
0%
20%
40%
60%
80%
100%
120%
140%
160%
180%
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
3m iT
raxx
Mai
n Vo
l
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
Ris
k pr
emiu
m (%
)
3m Implied Vol 3m Hist Vol Risk premium
0%
20%
40%
60%
80%
100%
120%
140%
0 50 100 150 200 2505y iTraxx Main
Vol 3
m A
TM
0%
1%
2%
3%
4%
5%
6%
Skew
3m
(vol
20%
OTM
- A
TM)
ATMVol Now (vol) Skew Now (skew)
Source: SG Cross Asset Research
As delta-hedging is less risky on a short-term horizon, the decrease in volatility affected
mostly April-10 expiries. Jun-10 ATM volatility on the Main decreased too but OTM options
remain expensive. In other words, the volatility skew is now historically steep. However, given
the lack of liquidity on options, we do not see this as a relative value opportunity as the trade
potential of a short OTM straddle vs long ATM straddle position would not offset transaction
costs. Nevertheless, this is an interesting signal for volatility players: market participants
looking to buy volatility (e.g. macro-hedgers) should buy short-term ATM options while
volatility sellers (e.g. risk takers) should focus on long-term OTM options.
Credit QuantSight
15 March 2010
4
Correlation: waiting for the roll As indices are due to roll at the end of the week, the correlation market seems to be focused
on technicals and there was therefore no clear movement in the tranche market. Equity pieces
outperformed slightly � especially on the CDX index (-3.8% for a delta-hedged 5y CDX 0-3%
tranche) � driven by the decline in dispersion (-4.6% in the CDX IG S9 dispersion).
In the meantime, super-senior tranches tightened against indices too, especially on 7y and
10y maturities. As a result, value flew from the wings into the belly of the capital structure.
Time for negative basis trades For the past month, we have recommended unwinding negative basis trades as wider CDS
had pushed the basis between CDS and cash into positive territory. The sharp tightening in
the past couple of weeks has moved the basis in the other direction (because cash spreads
have lagged behind the rally in the CDS market) and the basis is now negative: in our
European IG universe, the average basis is trading on average at -6bp, a 2m low. Moreover,
the average potential of basis trades, measured by the standard deviation of basis trades in
our bond universe, is historically tight. This shows that the risk transfer between the CDS and
bond markets is working well. That is why we see the current environment as very attractive
for negative basis trades.
The average basis in Europe is back into negative territory
-130
-80
-30
20
70
120
Sep-09 Dec-09 Mar-10 Jun-10
Adj
uste
d ba
sis
(bp)
0
10
20
30
40
50
60
70
80
90
100
Avg
spr
ead
& S
tdev
Bas
is (b
p)
Average Basis Average CDS spread Stdev Basis
The basis isback into negative
territory whilethe average size
of basis decreased further
Source: SG Cross Asset Research
The sectors that offer the best opportunities for negative basis trades are the sectors that
tightened the most last week: Retailers and Autos companies. For instance, we recommend
negative basis trades on Volvo-14 and Volvo-17 as well as on Casino-13 and Casino-14. For
more negative basis opportunities, please refer to our daily Basis Monitor.
Credit QuantSight
15 March 2010 5
Credit indices: iTraxx indices vs other financial markets
Equity and rate marketsCurrent 1w mvt 1w (%) 1m mvt 1m (%)
Equity IndicesEuroStoxx 50 2898 +21 +0.7% +224 +7.7%S&P 500 1150 +11 +1.0% +74 +6.5%
5y Bond yields (%)Bund 2.2% 0.0% +1.4% 0.0% -0.7%T-Bill 2.4% 0.1% 2.8% 0.1% 3.1%
1y Var Swap Vol (%)EuroStoxx 50 26.0 +0.6 +2.2% -3.1 -11.8%S&P 500 23.3 +0.2 +0.7% -2.8 -11.8%
Credit indices
Main X-Over HiVol SubFinMarket 74 410 111 135Last week's close 78 423 116 142Change (bp) -4 -13 -5 -7Change (%) -5.3% -3.0% -4.6% -4.9%
Model 73 412 104 132Change (bp) +0 +9 +3 -2Change (%) +0.6% +2.2% +3.3% -1.2%
Market vs model (%) 1% -1% 7% 2%
Equity vs credit spreads Main vs model
1,000
2,000
3,000
4,000
5,000
Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
Euro
Stox
x 50
(€)
0
50
100
150
200
250
5y iT
raxx
Mai
n (b
p)
0
50
100
150
200
250
10/07 01/08 04/08 07/08 10/08 01/09 04/09 07/09 10/09 01/10
Main Model
ln Main = 15.4 + ln 1yEq.Vol*0.7 + ln EuroSX 50*-1.7 + ln GovYield *-0.1
Government rates vs credit spreads X-Over vs model
0.0
1.0
2.0
3.0
4.0
5.0
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
5y B
und
yiel
d (%
)
0
50
100
150
200
250
5y iT
raxx
Mai
n (b
p)
150
350
550
750
950
1150
1350
10/07 01/08 04/08 07/08 10/08 01/09 04/09 07/09 10/09 01/10
X-over Model
ln Xover = 11.4 + ln 1yEq.Vol*1.1 + ln EuroSX 50*-1.2 + ln GovYield *0.5
Equity volatility vs credit spreads HiVol vs model
16
21
26
31
36
41
46
51
56
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
Euro
Stox
x 50
1y
vol (
%)
0
50
100
150
200
250
5y iT
raxx
Mai
n (b
p)
0
100
200
300
400
500
600
10/07 01/08 04/08 07/08 10/08 01/09 04/09 07/09 10/09 01/10
HiVol Model
ln HiVol = 18 + ln 1yEq.Vol*1.2 + ln EuroSX50*-2.2 + ln GovYield *0.8
Source: SG Cross Asset Research
Models are based on a 1y statistical regression of credit indices of iTraxx indices against other financial markets.
Credit QuantSight
15 March 2010
6
Beta movements – the SHARP model
Risk factor changes (in % spread mvt)
1W mvt 1M mvt 1Y mvt
Market -4.7% -18.4% -91%
Fin. vs. Corp. +0.7% +1.3% +14%
Decompression HY vs. IG +0.5% -1.9% -22%
Cyclicals vs. Non-Cyclicals -0.7% -1.6% -5%
Consum. vs. Indust. -0.7% +0.4% +5%
Insurance +0.1% -0.1% -13%
Weekly index movements: basket vs. model in bp
Mar
ket
Bas
ket
M1
M2
M3
M4
M5
Mo
del
(M6)
Alp
ha
Main -4.3 -4.0 -4 -4 -4 -4 -4 -4.2 +0.2
X-Over -13.0 -16.1 -16 -17 -14 -14 -12 -12.4 -3.6
SnrFin -3.5 -5.3 -6 -5 -5 -5 -5 -4.9 -0.4
HiVol -5.5 -4.6 -5 -6 -6 -6 -6 -6.3 +1.7
First three risk axes (long term) Last three risk axes (short term)
-100%
-50%
0%
50%
100%
150%
200%
Jan-06 Jul-06 Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
Equi
vale
nt s
prea
d m
ovem
ent
-40%
-20%
0%
20%
40%
60%
80%Market (LHS)Fin. vs. Corp. (RHS)Decompression HY vs. IG (RHS)
-125%
-100%
-75%
-50%
-25%
0%
25%
50%
75%
100%
125%
Jan-09 Mar-09 May-09 Jul-09 Sep-09 Nov-09 Jan-10 Mar-10
Equi
vale
nt s
prea
d m
ovem
ent
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
Market (LHS)Fin. vs. Corp. (RHS)Decompression HY vs. IG (RHS)
Last three risk axes (long term) Last three risk axes (short term)
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
Jan-06 Jul-06 Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
Equi
vale
nt s
prea
d m
ovem
ent
Cyclicals vs. Non-CyclicalsConsum. vs. Indust.Insurance
-30%
-20%
-10%
0%
10%
20%
Jan-09 Mar-09 May-09 Jul-09 Sep-09 Nov-09 Jan-10 Mar-10
Equi
vale
nt s
prea
d m
ovem
ent
Cyclicals vs. Non-CyclicalsConsum. vs. Indust.Insurance
Source: SG Cross Asset Research
The SHARP model : the six risk axes
This section shows beta movements in the CDS market. Using our Statistical Hedging and Arbitrage for Portfolios (SHARP) model, we found 6 main risk axes which explain more than 60% of weekly spread movements. More details on this methodology are given in our May 08 article “Statistical hedging: a multi-factor model based on PCA”.
Axis movements are given in equivalent percentage spread movements, i.e. a +10% increase of a factor means that the spread of a company with a beta of 100% with respect to this factor increased by 10% (e.g. +10bp for a CDS trading at 100bp).
The top right-hand table highlights each expected index weekly movement given the movements of our 6 risk axes. M1 stands for the expected movement given the first factor only, M2 is the expected movement given the first two factors, and so on. The model column represents the expected index movement given all 6 risk axes.
Credit QuantSight
15 March 2010 7
iTraxx Main corner
iTraxx Main Spread, curves and analytics
Current 1w mvt 1m mvt
Index spread
5y 74bp -4bp -16bp3-5y 23bp +1bp +7bp5-7y 9bp +1bp +4bp5-10y 18bp +1bp +6bp
Basket analytics
Skew 5y 0bp -0bp +1bpSkew 5-10y 2bp +0bp +3bpDispersion 36.2% +0.7% -2.6%
50
70
90
110
130
150
170
190
210
230
Sep-08 Dec-08 Mar-09 Jun-09 Sep-09 Dec-09 Mar-10
Spre
ad 5
y (b
p)
-40
-30
-20
-10
0
10
20
5-10
y in
vert
ed c
urve
(bp)
Skew: basis between index and components Credit spreads: indices, single names and cash
-70
-60
-50
-40
-30
-20
-10
0
10
20
30
Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10
Bas
is (b
p)
5y 5-10y
0
50
100
150
200
250
300
Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10
5y iTraxx MainCash spreads (Main-skew-basis)Single name CDS spread (Main - skew)
iTraxx Main vs CDX IG Best individual performers - Main
1 Next PLC (-15bp @92bp)
2 Volvo (-14bp @188bp)
3 Finmeccanica (-11bp @96bp)
4 Casino (-11bp @86bp)
5 Holcim (-11bp @115bp)
Worst individual performers - Main
1 Arcelor (+30bp @114bp)
2 Telecom Italia (+7bp @148bp)
3 Alstom (+5bp @105bp)
4 Portugal Telecom (+5bp @100bp)
5 OTE (+2bp @96bp)
0
50
100
150
200
250
Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10
Rol
l-cor
iTra
xx M
ain
5y (b
p)
0
50
100
150
200
250
300
Rol
l-cor
CD
X IG
5y
(bp)
Source: SG Cross Asset Research
Credit QuantSight
15 March 2010
8
iTraxx X-Over corner
iTraxx X-Over Spread, curves and analytics
Current 1w mvt 1m mvt
Index spread
5y 410bp -13bp -85bp3-5y 60bp +4bp -6bp5-7y 14bp +0bp +21bp5-10y 23bp +3bp +10bp
Basket analytics
Skew 5y 1bp +3bp +4bpSkew 5-10y 11bp -0bp -0bpDispersion 67.7% +1.3% +3.2%
300
400
500
600
700
800
900
1000
1100
1200
Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10
Spre
ad 5
y (b
p)
-275
-225
-175
-125
-75
-25
25
75
125
5-10
y in
vert
ed c
urve
(bp)
iTraxx X-Over basis to components against index iTraxx X-Over dispersion
-120
-100
-80
-60
-40
-20
0
20
40
60
80
Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10
Bas
is (b
p)
Basis X-Over 5y Basis X-Over 5-10y
35%
45%
55%
65%
75%
85%
95%
105%
115%
Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
Bas
ket d
ispe
rsio
n
150
350
550
750
950
1150
1350
5y S
prea
d (b
p)
iTraxx X-Over vs iTraxx Main Best individual performers - X-Over
1 ONO (-120bp @969bp)
2 Grohe (-78bp @1045bp)
3 DSG International (-70bp @628bp)
4 Norske Skog (-47bp @1009bp)
5 NXP B.V. (-31bp @1063bp)
Worst individual performers - X-Over
1 Seat Pagine Gialle (+26bp @1465bp)
2 International Power (0bp @201bp)
3 UPC (-5bp @495bp)
4 Smurfit Kappa Funding (-5bp @519bp)
5 Clariant (-5bp @112bp)
100
300
500
700
900
1100
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
Rol
l-cor
iTra
xx X
-Ove
r 5y
0
50
100
150
200
Rol
l-cor
iTra
xx M
ain
5y (b
p)
Source: SG Cross Asset Research
Credit QuantSight
15 March 2010 9
Index relative value
CDX IG vs iTraxx Main Relative movements of credit indices
Current alpha 1w mvt 1w (%) 1m mvt 1m (%)
Against Main
X-Over -42.5bp +6.0 +1.5% -12.2 -3.0%
HiVol -31.5bp +3.2 +2.9% +11.4 +10.3%
Sen Fin +17.4bp +0.8 +1.0% -6.1 -7.6%
Sub Fin +26.4bp +0.2 +0.2% -12.4 -9.2%
CDX IG -9.7bp +2.9 +3.4% +3.8 +4.6%
Others
Sub vs. Sen Fin -2.7bp -1.0 -0.7% -0.9 -0.6%
X-Over vs. HiVol +24.8bp -1.3 -0.3% -38.3 -9.3%
-30
-20
-10
0
10
20
30
40
50
Jun-07 Dec-07 Jul-08 Jan-09 Aug-09 Feb-10 Sep-10
Alp
ha (b
p)
S7 S8
S9 S10
S11 S12
CDX = 1.2 x Main + 4.33 R²=98%
iTraxx X-Over vs iTraxx Main iTraxx HiVol vs iTraxx Main
-400
-300
-200
-100
0
100
200
300
Jun-07 Nov-07 May-08 Nov-08 May-09 Nov-09 May-10
Alp
ha (b
p)
S7 S8 S9
S10 S11 S12
X-Over = 4.53 x Main + 118.19 R²=93%
-100
-80
-60
-40
-20
0
20
40
60
80
100
120
Jun-07 Nov-07 May-08 Nov-08 May-09 Nov-09 May-10
Alp
ha (b
p)
S7 S8 S9
S10 S11 S12
HiVol = 2.07 x Main - 10.29 R²=95%
iTraxx SubFin vs iTraxx SnrFin iTraxx SubFin vs iTraxx Main
-60
-40
-20
0
20
40
60
80
Jun-07 Dec-07 Jul-08 Jan-09 Aug-09 Feb-10 Sep-10
Alp
ha (b
p)
S7 S8 S9
S10 S11 S12
SubFin = 1.75 x SnrFin - 2.54 R²=98%
-150
-100
-50
0
50
100
150
Jun-07 Dec-07 Jul-08 Jan-09 Aug-09 Feb-10 Sep-10
Alp
ha (b
p)
S7 S8 S9
S10 S11 S12
SubFin = 1.72 x Main - 18.47 R²=89%
Source: SG Cross Asset Research
Alpha of regressions and roll-correction
The alpha is the residual error in the regression of the spread of one index against the spread of another reference index. When the alpha is positive, it means that the index we want to regress has underperformed the reference index (is wider than the reference index on a beta-adjusted basis). When it is negative, it means the index has outperformed the reference index.
In order to compare past spreads of credit indices, we need to correct them from the mismatch of composition and maturity so that they reflect where the current series with the current maturity should be trading. For more details on our methodology for roll-correcting spreads, please refer to our August 2007 article “Bridging the gap between series of credit indices”.
Credit QuantSight
15 March 2010
10
The Volatility corner
Historical vs. market implied volatilities iTraxx Main spread options
Current 1w mvt
ATM Apr-10 vol 58% -8.0%
ATM Jun-10 vol 64% -3.5%
3m historical volatilty 45% +0.9%
3m risk premium 18% -5.6%
Index Spread 75bp -5bp
Most likely spread in Apr-10 74bp -3bp
Most likely spread in Jun-10 68bp -2bp
BEV Apr-10 (Rec/Pay) 70/81 -3.4/-7.1
BEV Jun-10 (Rec/Pay) 66/86 -3.9/-7.2
0%
20%
40%
60%
80%
100%
120%
140%
160%
180%
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-103m
iTra
xx M
ain
Vol
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
Ris
k pr
emiu
m (%
)
3m Implied Vol 3m Hist Vol Risk premium
Mar-10 iTraxx Main volatility smile Jun-10 iTraxx Main volatility smile
50%
55%
60%
65%
70%
75%
80%
85%
50 70 90 110 130 150
Apr-10 (current week)Apr-10 (last week)
60%
65%
70%
75%
80%
85%
90%
50 70 90 110 130 150 170 190
Jun-10 (current week)
Jun-10 (last week)
Market implied distributions in Mar-10 Market implied distributions in Jun-10
-10%
0%
10%
20%
30%
40%
50%
60%
<40 60 80 100 120 140 160 180 200
Apr-10 implied distribution Weekly change
-5%
0%
5%
10%
15%
20%
25%
30%
35%
40%
<40 60 80 100 120 140 160 180 200
Jun-10 implied distribution Weekly change
Source: SG Cross Asset Research
The Volatility corner
The implied volatility smile is interpolated using a credit version of the SABR model. More details are available in our paper from March 2007, “Credit options: reading the market’s smile”.
Credit QuantSight
15 March 2010 11
The Correlation corner Correlation market movements
Current 1w mvt 1m mvt5y iTraxx Main S9Ref 70bp -10bp -15bpExpected Loss 2.2% -0.32% -0.5%Upfront 0-3% 26.5% -3.8% -5.3%Correlation 0-3% 40.2% -0.4% -1.0%Basket dispersion 52.5% +1.0% -0.9%Spread 22-100% 13bp -3bp -6bp
5y CDX IG S9Ref 102bp -8bp -25bpExpected Loss 2.7% -0.23% -0.7%Upfront 0-3% 50.3% -3.8% -7.8%Correlation 0-3% 38.8% -3.0% -8.6%Basket dispersion 83.2% -4.6% -7.6%Spread 30-100% 10bp -1bp -6bp
Delta-hedged tranchesCurrent 1w mvt 1m mvt
5y iTraxx Main S90-3% (Upf+500bp) 26.5% -0.94% -1.12%3-6% (Upf+500bp) -4.0% -0.17% +0.34%6-9% (Upf+500bp) -10.3% +0.24% +0.69%9-12% 95bp +2bp +8bp12-22% 37bp +2bp +1bp22-100% 13bp +0bp -1bp
5y CDX IG S90-3% (Upf+500bp) 50.3% -2.37% -3.77%3-7% (Upf+500bp) 7.1% -0.14% -2.28%7-10% (Upf+500bp) -6.7% +0.23% -0.21%10-15% (Upf+100bp) -0.3% +0.08% +0.57%15-30% (Upf+100bp) -2.1% +0.15% +0.43%30-100 (Upf+100bp) -2.5% +0.01% -0.03%
5y Equity correlations Base correlation smile
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Jan-07 Jul-07 Feb-08 Aug-08 Mar-09 Sep-09 Apr-10 Nov-10
iTraxx 5y 0-3% correlation
CDX 5y 0-3% correlation
30%
40%
50%
60%
70%
80%
90%
100%
0% 5% 10% 15% 20% 25% 30%
iTraxx 5yCDX 5y normalized by ELLast week (iTraxx)Last week (CDX)
iTraxx basket dispersion vs. delta-hedged equity CDX basket dispersion vs. delta-hedged equity
10%
20%
30%
40%
50%
60%
70%
80%
90%
Aug-07 Feb-08 Aug-08 Feb-09 Aug-09 Feb-10-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
iTraxx 5y dispersionDelta-hedged 5y 0-3% iTraxx upfront
55%
65%
75%
85%
95%
105%
115%
125%
Aug-07 Dec-07 Apr-08 Aug-08 Dec-08 Apr-09 Aug-09 Dec-09-40%
-20%
0%
20%
40%
60%
CDX 5y dispersion5y 0-3% upfront at cst. bench (RHS)
iTraxx basket dispersion vs. delta-hedged equity CDX basket dispersion vs. delta-hedged equity
0%
10%
20%
30%
40%
50%
60%
70%
3% 6% 9% 12% 22%
5Y
7Y
10Y
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
3% 7% 10% 15% 30%
5Y
7Y
10Y
Source: SG Cross Asset Research
Credit QuantSight
15 March 2010
12
iTraxx Main 5y delta-hedged junior tranches� iTraxx Main 5y delta-hedged senior tranches
-250
-200
-150
-100
-50
0
50
100
150
200
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%3-6% 6-9% 0-3% Upfront (RHS)
-180
-160
-140
-120
-100
-80
-60
-40
-20
0
20
40
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10-25
-20
-15
-10
-5
0
5
10
159-12% 12-22% 22-100%
iTraxx 5y expected loss distribution… iTraxx 5y expected loss distribution…
20%
30%
40%
50%
60%
70%
80%
90%
100%
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
EL 22-100%EL 12-22%EL 9-12%EL 6-9%EL 3-6%EL 0-3%
-1.5%
-1.0%
-0.5%
0.0%
0.5%
1.0%
1.5%
2.0%
2.5%
3.0%
0-3% 3-6% 6-9% 9-12% 12-22% 22-100%
CDX IG 5y delta-hedged junior tranches CDX IG 5y delta-hedged senior tranches
-1000
-800
-600
-400
-200
0
200
400
600
800
1000
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10-40%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%3-7% 7-10% 0-3% Upfront (RHS)
-200
-150
-100
-50
0
50
100
150
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10-20
-10
0
10
20
30
4010-15% 15-30% 30-100%
CDX IG 5y expected loss distribution… … and weekly changes
20%
30%
40%
50%
60%
70%
80%
90%
100%
Jan-07 May-07 Sep-07 Jan-08 May-08 Sep-08 Jan-09 May-09 Sep-09 Jan-10
EL 30-100%EL 15-30%EL 10-15%EL 7-10%EL 3-7%EL 0-3%
-0.6%
-0.4%
-0.2%
0.0%
0.2%
0.4%
0.6%
0.8%
1.0%
0-3% 3-7% 7-10% 10-15% 15-30% 30-100%
Source: SG Cross Asset Research
Credit QuantSight
15 March 2010 13
Issuer-specific monitor
Single-name movements – the SHARP model
Surprise index by sector Spread volatility
Current 1w mvt 3m avg 3m Z-score
Total = Alpha + Beta 49.8% -32.3% 55% -28%
Alpha 26.0% +6.7% 26% 1%
Beta 23.8% -39.0% 29% -21%
1 Market 23.5% -38.1% 28% -18%
2 Financials 0.3% +0.3% 0.3% 2%
3 HY vs IG 0.0% -0.5% 0.3% -147%
4 Cyclicals 0.0% -0.3% 0.3% -66%
5 Consum vs Indus 0.0% -0.2% 0.1% -131%
6 Insurance 0.0% -0.2% 0.1% -83%
0%
20%
40%
60%
80%
100%
120%
140%
160%
Jan-09 Apr-09 Jul-09 Oct-09 Jan-10
Ave
rage
Alp
ha v
olat
ility
by
sect
or
Autos ConsumersFinancials IndustrialsInsurance TMTUtilities & Energy
Breakdown of weekly volatility Split of weekly variance between alpha and beta
0%
20%
40%
60%
80%
100%
120%
140%
160%
180%
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
Wee
kly
vola
tility
Alpha InsuranceConsum. vs. Indust. Cyclicals vs. Non-CyclicalsDecompression HY vs. IG Fin. vs. Corp.Market
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
Part
of t
he v
aria
nce
Market Fin. vs. Corp.Decompression HY vs. IG Cyclicals vs. Non-CyclicalsConsum. vs. Indust. InsuranceAlpha
3-month worst alpha performers
Credit opinion Spd mvt Alpha mvt Z-Score
1 Allied Irish Banks Negative +21% +19% +2.5
2 TNT NV No Reco +36% +36% +2.0
3 FCE Bank - +13% +12% +1.9
4 Havas Stable +7% +8% +1.9
5 ABB Stable -18% +12% +1.9
6 Dong Stable -10% +6% +1.9
7 Rexam - +7% +10% +1.8
8 Hanson - +6% +16% +1.8
9 Ericsson Negative +2% +20% +1.8
10 Svenska Cellulosa Stable -1% +4% +1.8
3-month top alpha performers
Credit opinion Spd mvt Alpha mvt Z-Score
1 Japan Tobacco Stable -35% -22% -2.6
2 Lloyds TSB Group Negative -9% -15% -2.5
3 DSM Stable -12% -15% -2.1
4 Endesa Stable -40% -22% -1.8
5 Continental Negative -39% -26% -1.8
6 ISS Holding - -6% -2% -1.7
7 UBS Negative -18% -7% -1.5
8 Lafarge Stable -23% -8% -1.4
9 J Sainsbury Stable -19% -11% -1.4
10 Suez No Reco -21% -18% -1.4
Source: SG Cross Asset Research
SHARP – single-name spread movements
This section highlights alpha movement – i.e. spread movements stripped from the movement of the six market factors found by our SHARP model.
Credit QuantSight
15 March 2010
14
Capital structure arbitrage – The S2C model
iTraxx Main against EuroStoxx 50… … and against EuroStoxx variance swaps
50
70
90
110
130
150
170
190
210
230
Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
Spr
eads
(bp)
1500
2000
2500
3000
3500
4000
Inve
rted
stoc
k pr
ice
Roll-corrected 5y Main EuroStoxx 50 (inverted)
50
70
90
110
130
150
170
190
210
230
Jan-08 Jul-08 Jan-09 Jul-09 Jan-10S
prea
ds (b
p)15
20
25
30
35
40
45
50
55
Vol
atilit
y (%
)
Roll-corrected 5y Main EuroStoxx 12m VarSwaps
Model vs market volatility Model vs market CDS spread
Level 3 Comm inc
20%
30%
40%
50%
60%
70%
80%
90%
100%
0% 20% 40% 60% 80% 100%Market volatility
S2C
vol
atilit
y
American Airlines
Dynegy INC
Ford Motor C dit
MGM Mirage
AK Steel
BMWDynegy
Gecina
MGM Mirage
Hartford Financial
UNISYS CORP
United States Steel
-100
100
300
500
700
900
1100
1300
1500
-100 100 300 500 700 900 1100 1300 1500
Market CDS spread
Mod
el C
DS
spr
ead
Level 3 Comm inc
Sinclair Broadcast
The S2C model
The Smile-to-credit model is a relative value framework that analyses CDS curves using equity implied volatility inputs and balance sheet data. We initially calibrate the model to the short-term CDS curve and then compute a theoretical volatility level. This section compares these model volatilities to market ones. A full description of this model is available in our March 2008 paper: “The S2C model: an integrated framework for equity-credit relative value”.
Credit QuantSight
15 March 2010 15
Buy CDS opportunities
Entity Ticker Sector Market CDS
Model CDS
Market Vol
Model Vol CDS change
Stock change
Mkt Vol change
S2C Vol change
M-Real MRLBV FH Industrial & Building Mat 727 2537 47.68% 57.71% -21.0 5.62% 21.74% 29.00%
Volkswagen VOW GR Autos 87 1798 33.37% 35.39% -7.9 5.30% 2.78% -0.05%
Hartford Financial Services HIG US Insurance 181 1437 40.60% 41.98% -12.9 1.46% 6.51% 4.29%
United States Steel X US Industrial & Building Mat 279 1455 46.69% 46.93% -30.8 6.28% 27.48% 23.65%
AK Steel AKS US Industrial & Building Mat 427 1325 48.16% 48.24% -6.3 -4.97% 0.78% -0.31%
Gecina GFC FP Real Estate 192 1050 32.11% 32.19% -24.8 2.51% 3.24% -2.33%
Generali Sub G IM Insurance 105 955 23.42% 31.19% -17.4 3.11% -1.60% -0.92%
AMR AMR US Aerospace, Defense & Airlines 1405 2226 64.31% 74.53% -195.0 7.84% -1.15% 4.17%
Daimler DAI GR Autos 88 908 30.46% 35.80% -7.9 1.77% 0.88% 0.37%
Sinclair Broadcast Sub SBGI US Media 723 1400 56.03% 54.13% 0.0 4.54%
Generali G IM Insurance 70 717 23.42% 31.07% -8.9 3.11%
Wendel Investissement MF FP Industrial & Building Mat 335 821 35.43% 37.14% -24.4 2.05%
Masco MAS US Industrial & Building Mat 199 657 38.80% 41.01% -14.8 5.26% -8.02% -6.19%
Porsche PAH3 GR Autos 105 548 35.21% 38.47% -8.0 6.45% 11.90% 12.99%
Amerada Hess AHC US Media 85 524 60.07% 51.12% 0.0 0.00% -1.45% -0.08%
Scania AB SCVA SS Autos 74 505 30.58% 34.29% -6.9 4.60%
Air France-KLM AF FP Aerospace, Defense & Airlines 319 697 36.68% 40.22% -14.7 2.75% 0.00% 0.24%
Swiss Re Sub RUKN VX Insurance 102 421 28.09% 32.71% -6.0 -0.50% -1.05% -0.59%
Volvo VOLVB SS Autos 189 506 29.72% 35.35% -13.9 6.97% 11.44% 9.46%
Arcelor MT NA Industrial & Building Mat 115 390 36.69% 37.92% 29.8 0.74% -0.32% 0.16%
Source: SG Cross Asset Research
Sell CDS opportunities
Entity Ticker Sector Market CDS
Model CDS
Market Vol Model Vol CDS change
Stock change
Mkt Vol change
S2C Vol change
Seat Pagine Gialle PG IM Media 1466 447 42.83% 56.20% 25.9 -0.83%
Boyd Gaming BYD US Travel & Leisure 1140 529 52.76% 59.59% -47.0 5.51% -1.62% -1.64%
Norske Skog NSG NO Industrial & Building Mat 1010 474 62.86% 56.14% -47.1 3.38% 39.77% 27.32%
TUI TUI1 GR Travel & Leisure 796 312 46.25% 52.41% -30.4 -0.40% 13.96% 14.96%
DSG International DSGI LN Retailers 629 157 43.92% 46.61% -69.9 2.70% 0.14% -0.76%
Rallye SA RAL FP Retailers 477 44 25.14% 28.99% -14.1 4.70% -2.58% -3.86%
Amkor Technology AMKR US Industrial & Building Mat 548 119 40.96% 46.53% -6.0 3.36% -0.54% -0.04%
Eastman Kodak Co EK US Consumer Goods 806 382 59.66% 62.92% -59.0 0.17% -4.57% -0.37%
Dynegy Holdings DYN US Utilities & Energy 920 522 43.19% 83.34% -22.0 5.48% -1.99% -5.64%
Sol Melia SOL SM Travel & Leisure 490 108 39.72% 45.19% -24.4 7.32%
AES AES US Utilities & Energy 485 114 38.71% 50.65% -25.8 0.69% 0.71% 1.74%
NRG Energy NRG US Utilities & Energy 466 101 33.61% 42.96% -19.2 -2.12%
Community Health Systems CYH US Chemical & Pharma 524 161 33.87% 43.88% -11.2 -4.90% -0.99% -0.54%
Iron Mountain Sub IRM US Services 398 42 26.51% 34.48% -20.3 -0.62%
Sanmina-SCI Sub SANM US Industrial & Building Mat 583 231 51.37% 49.60% -23.0 0.60% -0.91% -3.09%
Level 3 Communications LVLT US Telecom 1119 768 43.98% 69.44% 0.0 3.94%
UPC LBTYA US Utilities & Energy 495 155 34.55% 43.86% -4.8 1.00% 5.65% 10.89%
Polyone POL US Chemical & Pharma 523 187 41.91% 45.80% -21.5 3.99% 4.80% 6.29%
Avis Europe AVE LN Autos 560 236 48.07% 47.84% -30.0 -6.87% -0.83% -0.87%
Tenet Healthcare THC US Chemical & Pharma 567 316 51.38% 62.76% -23.5 -2.98%
Source: SG Cross Asset Research
Credit QuantSight
15 March 2010
16
CDS curves – EC-hedge model
iTraxx Main Curves and analytics
3-5y (1w mvt) 5-7y (1w mvt) 5-10y (1w mvt)
Average Curves
Main +19.6bp (+1.1) +6.9bp (+0.5) +14.8bp (+0.7)HiVol +25.9bp (+0.4) +9.4bp (+0.4) +19.0bp (+0.4)X-Over +24.2bp (+4.5) +4.3bp (+1.3) +8.7bp (+2.0)Sub Fin +72bp (+3.7) +12bp (+1.4) +16bp (+2.2)
Adj debt growth rate
Main 0.7% (+0.0%) -11.0% (+0.0%) -1.7% (+0.0%)HiVol -0.5% (+0.0%) -9.7% (+0.0%) -1.4% (+0.0%)X-Over -0.5% (+0.2%) -9.3% (+0.0%) -1.1% (+0.1%)Sub Fin -5.6% (+0.1%) -18.1% (+0.1%) -5.0% (+0.0%)
5-10y
3-5y
45
55
65
75
85
95
105
115
3 5 7 9Maturity (years)
Ben
chm
ark
CD
S C
urve
s
-2%
-1%
0%
1%
Deb
t gro
wth
rate
Last week curve Current curveLast week dgr Current debt growth rate
iTraxx HiVol iTraxx X-Over
3-5y
5-10y
60
80
100
120
140
160
180
200
3 5 7 9Maturity (years)
Ben
chm
ark
CD
S C
urve
s
-2%
-1%
0%
Deb
t gro
wth
rate
Last week curve Current curveLast week dgr Current debt growth rate
3-5y
5-10y
300
350
400
450
500
550
600
3 5 7 9Maturity (years)
Ben
chm
ark
CD
S C
urve
s
-2%
-1%
0%
Deb
t gro
wth
rate
Last week curve Current curveLast week dgr Current debt growth rate
3y-5y adjusted debt growth rate history 5y-10y adjusted debt growth rate history
-50%
-40%
-30%
-20%
-10%
0%
10%
20%
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
3y-5
y ad
just
ed d
ebt g
row
th ra
te
X-Over Main HiVol
-28%
-23%
-18%
-13%
-8%
-3%
2%
7%
12%
Jan-07 Jul-07 Jan-08 Jul-08 Jan-09 Jul-09 Jan-10
5y-1
0y a
djus
ted
debt
gro
wth
rate
X-Over Main HiVol
Source: SG Cross Asset Research
SGs CDS curves model: the EC-Hedge model
SG has developed an innovative methodology to analyse CDS curves. It consists of translating CDS curve market data into an implied debt growth rate indicator for each bucket of the curve (1y-3y, 3y-5y, 5y-7y and 7y-10y). This debt growth rate is the market anticipation of the dynamics of a company’s leverage in the future. The higher the debt growth rate, the steeper the curve, according to the model. We therefore usually recommend playing steepeners on curves with a low debt growth rate and flatteners on curves with a high debt growth rate. For more details on our CDS curves methodology, please refer to our articles dated Nov 2004 Introduction to the CDS curves monitor and May 2005 Hedging CDS curve trades: a case study.
Credit QuantSight
15 March 2010 17
CDS vs. cash basis monitor
Adjusted basis against CDS spreads: Inv. Grade Basis movements
Current 1w mvt 1m mvt 3m Z-Score
Avg ASW Spread 77bp +1bp -6bp +0.1
Avg CDS Spread 71bp -4bp -16bp -0.5
Avg Basis -6bp -5bp -10bp -0.7
Stdev Basis 25bp -1bp -4bp -1.8
-130
-80
-30
20
70
120
Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10
Adj
uste
d ba
sis
(bp)
10
60
110
160
210
260
310
Avg
spr
ead
& S
tdev
Bas
is (b
p)
Average Basis Average CDS spreadStdev Basis
Cash vs. CDS leading/lagging indicator Adjusted basis by vintage
-100%
-75%
-50%
-25%
0%
25%
50%
75%
100%
Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-100
50
100
150
200
250
300
Ave
rage
CD
S sp
read
(bp)
Cas
h le
adin
g C
DS
lead
ing
-100
-80
-60
-40
-20
0
20
40
60
Jan-08 Apr-08 Jul-08 Oct-08 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10
<2003 2004 2005 20062007 2008 2009
Average adjusted basis by sector Adjusted basis by maturity
Aut
os
Che
mic
al &
Pha
rma
Con
sum
er G
oods
&
Ret
aile
rs
Fina
ncia
ls
Indu
stria
l & B
uild
ing
Insu
ranc
e
TMT
Util
ities
& E
nerg
y
-20
-15
-10
-5
0
5
10
15
20This week Last week Movement
-14
-12
-10
-8
-6
-4
-2
0
2
4
1y 2y 3y 5y 7y 10y
Ave
rage
bas
is b
y m
atur
ity (b
p)
This week Last week Movement
Source: SG Cross Asset Research
Credit QuantSight
15 March 2010
18
Trade ideas monitor
Performance of our CDS curve strategy This section has not been updated.
0 €
500,000 €
1,000,000 €
1,500,000 €
2,000,000 €
2,500,000 €
3,000,000 €
3,500,000 €
4,000,000 €
Mar-05 Sep-05 Mar-06 Sep-06 Mar-07 Sep-07 Mar-08 Sep-08
Performance of our equity-credit strategy Performance of our basis strategy
-500 000 €
0 €
500 000 €
1 000 000 €
1 500 000 €
2 000 000 €
2 500 000 €
3 000 000 €
3 500 000 €
Apr-04 Jan-05 Oct-05 Jul-06 Apr-07 Jan-08 Oct-08
-500,000 €
0 €
500,000 €
1,000,000 €
1,500,000 €
2,000,000 €
2,500,000 €
Sep-05 Sep-06 Sep-07 Sep-08 Sep-09
Performance of our hybrid strategy Performance of our index strategy
-200,000 €
0 €
200,000 €
400,000 €
600,000 €
800,000 €
1,000,000 €
1,200,000 €
1,400,000 €
1,600,000 €
Oct-05 Apr-06 Oct-06 Apr-07 Oct-07 Apr-08 Oct-08
-200,000 €
0 €
200,000 €
400,000 €
600,000 €
800,000 €
1,000,000 €
1,200,000 €
1,400,000 €
1,600,000 €
1,800,000 €
Dec-05 Jun-06 Dec-06 Jun-07 Dec-07 Jun-08 Dec-08 Jun-09 Dec-09
Source: SG Quantitative Research
Performance calculations
All performances are calculated using mid-market data from SG market makers. They do not include any transaction costs.
Credit QuantSight
15 March 2010 19
Index trades
Trade Entry Date Exit Date Current Perf Min Perf Max Perf Entry Diff Exit Diff Target Stop-loss
short XOver vs. Main S5 22-Jun-06 23-Jun-06 -36,868 € -36,868 € 0 € 259 272 37,500 € -37,500 €
short XOver vs. HiVol S6 06-Nov-06 09-Nov-06 354,775 € 0 € 354,775 € 193 192 325,000 € -325,000 €
Xover flattener vs. HiVol steepener 27-Nov-06 23-Feb-07 333,432 € -29,970 € 333,432 € 32 33 325,000 € -325,000 €
short X-Over vs. HiVol fwd 20-Mar-07 16-Aug-07 400,905 € -24,369 € 475,806 € 102 71 345,000 € -345,000 €
long X-Over vs. Main S7 30-Jul-07 31-Jul-07 554,770 € 0 € 554,770 € 401 353 275,000 € -275,000 €
long X-Over vs. Main S7 13-Aug-07 14-Aug-07 -257,550 € -257,550 € 0 € 284 294 230,000 € -230,000 €
long X-Over vs. Main S8 07-Jan-08 08-Feb-08 -238,957 € -238,957 € 0 € 329 435 200,000 € -200,000 €
Main steepener 21-Jan-08 27-Nov-08 -127,680 € -127,680 € 83,753 € 6 33- 100,000 € -100,000 €
Index barbell 25-Feb-08 13-Mar-08 -165,741 € -165,741 € 2,298 € 381 376 150,000 € -150,000 €
Main vs CDX 10-Mar-08 25-Mar-08 158,640 € -26,041 € 158,640 € 31 35 150,000 € -150,000 €
Cyclical Decompression 14-Nov-08 -79,258 € -87,516 € 197,233 € 175 119 250,000 € -250,000 €
Us-Eur decompression 05-Jan-09 16-Jan-09 120,730 € 0 € 120,730 € 22 53 120,000 € -120,000 €
Sub vs. Senior compression 23-Feb-09 12-Mar-09 -148,466 € -148,466 € 41,756 € 141 207 100,000 € 100,000 €
Steepener S6 vs. Flattener S10 08-Jun-09 18-Aug-09 525,923 € -141,028 € 525,923 € 500,000 € -500,000 €
Bearish Trade CDX vs iTraxx 6-Oct-09 28-Oct-09 236,506 € 73,260 € 236,506 € 250,000 € -250,000 €
Total 1,631,161 € -1,210,926 € 3,085,622 € 2354.54 2406.09 2,137,500 € -2,137,500 €
Source: SG Credit Research
Performance of our index recommendations
Index option trades
Strategy Entry date Exit date Current perf Min perf Max perf Target Stop-loss
Long X-Over vol/Short main vol 24-Oct-05 21-Dec-05 278,496 € -126,944 € 278,496 € 500,000 € -500,000 €
Short ATM /Long out-of-the-money X-Over volatility 05-Dec-05 20-Mar-06 -245,877 € -245,877 € 449,897 € 500,000 € -1,000,000 €
Long 350 X-Over payer/Short 250bp receiver and 300bp payer 09-Oct-06 15-Dec-06 435,636 € 0 € 435,636 € 500,000 € -1,800,000 €
Short X-Over Jun-07 225bp payer vs. 250bp payer 08-Jan-07 22-Feb-07 151,055 € -49 € 151,055 € 140,000 € -250,000 €
Short X-Over Sep-07 175bp payer vs. 225bp payer 23-Apr-07 11-Jul-07 177,152 € -63,995 € 195,871 € 200,000 € -380,000 €
Short X-Over Dec-07 225bp payer vs. 275bp payer 02-Jul-07 27-Jul-07 -185,587 € -185,587 € 0 € 140,000 € -140,000 €
Short HiVol Receiver/Long Main Receiver 24-Sep-07 20-Dec-07 -6,640 € -23,893 € 5,498 € 75,000 € -75,000 €
Long X-Over 275bp payer vs. 450bp payer 01-Oct-07 20-Dec-07 12,892 € -60,022 € 80,892 € 120,000 € -120,000 €
Short €5m Dec-07 X-Over 275bp payers vs. €10m Mar-08 450bp payers 29-Oct-07 20-Dec-07 -74,644 € -77,024 € 0 € 85,000 € -85,000 €
X-over vs Main Bear spread 07-Nov-07 11-Feb-08 -374,787 € -374,787 € 0 € 200,000 € -200,000 €
Total 167,696 € -1,158,178 € 1,597,346 € 2,460,000 € -4,550,000 €
Source: SG Credit Research
Performance of our index option recommendations
LBO portfolio No open trades.
Credit QuantSight
15 March 2010
20
Equity-credit trades No open trades.
Credit QuantSight
15 March 2010 21
Credit QuantSight
15 March 2010
22
CDS curve trades No open trades.
Issuer Strategy Hedge ratio Entry date Exit date Current perf Min perf Max perf Start curve End curve
Havas 5y-10y steepener 170% 21-Mar-05 10-May-05 143 372 € 0 € 143 372 € 40 60
Fiat 5y-7y flattener 110% 18-Apr-05 20-Jun-05 97 732 € -76 750 € 106 252 € 30 35
Valeo 5y-10y steepener 187% 25-Apr-05 13-Jan-06 80 797 € -58 155 € 80 797 € 38 44
Arcelor 5y-10y steepener 190% 30-May-05 03-Oct-05 37 245 € -453 € 61 688 € 25 27
Linde 5y-10y flattener 230% 30-May-05 03-Oct-05 -57 920 € -57 920 € 25 488 € 30 32
Havas 5y-10y steepener 150% 31-May-05 26-Sep-05 188 570 € -52 140 € 216 345 € 46 72
SeatPagine 5y-10y flattener 131% 31-May-05 12-Jan-06 -169 945 € -169 945 € 100 076 € 75 127
UBM 5y-10y steepener 195% 11-Jul-05 17-Oct-05 61 425 € 0 € 61 425 € 14 15
WPP flattener 5y-10y flattener 260% 11-Jul-05 17-Oct-05 19 288 € -11 192 € 33 700 € 28 29
Continental 5y-10y steepener 245% 18-Jul-05 24-Oct-05 40 688 € 0 € 56 068 € 20 23
Deutsche Telekom 3y-5y flattener 255% 18-Jul-05 24-Oct-05 28 826 € -4 645 € 29 047 € 15 15
Michelin 5y-10y flattener 290% 25-Aug-05 26-Sep-05 50 167 € 0 € 50 167 € 20 26
Peugeot 5y-10y steepener 230% 25-Aug-05 26-Sep-05 24 917 € -28 833 € 25 258 € 25 20
BT 5y-10y flattener 250% 05-Sep-05 01-Dec-05 -46 080 € -46 080 € 0 € 33 37
Ericsson 5y-10y steepener 225% 05-Sep-05 03-Oct-05 36 798 € 0 € 38 608 € 31 33
Portugal Telecom 3y-5y steepener 210% 17-Oct-05 01-Dec-05 27 198 € 0 € 27 198 € 11 14
GUS 5y-10y steepener 218% 31-Oct-05 10-Feb-06 60 731 € -9 332 € 60 731 € 29 35
Thomson 3y-5y steepener 185% 07-Nov-05 16-Nov-05 57 813 € 0 € 57 813 € 17 28
Thyssenkrupp 3y-5y flattener 220% 07-Nov-05 09-May-06 17 810 € -3 406 € 26 594 € 30 21
BA 3y-5y flattener 235% 14-Nov-05 09-Feb-06 -34 031 € -34 031 € 18 646 € 60 64
HeidelbergCement 5y-10y steepener 175% 14-Nov-05 23-Dec-05 70 605 € 0 € 70 605 € 40 48
Kingfisher 5y-10y steepener 170% 28-Nov-05 19-Jan-06 100 605 € -1 047 € 100 605 € 31 43
Average 38 028 € -25 179 € 63 204 € 31 39
Source: SG Credit Research
Performance of 2005 CDS curve recommendations
Credit QuantSight
15 March 2010 23
Basis trades
Issuer Strategy Entry Date Exit Date Current Perf Min Perf Max Perf Entry spd diff Exit spd diff Target Stop-loss
Finmeccanica 25 Long bond/long 10y CDS 12-Sep-05 09-Dec-05 -101,440 € -110,420 € 60,270 € 33 39 80,000 € -70,000 €
Lafarge 20 Long bond/long 10y CDS 12-Sep-05 18-Oct-05 -79,895 € -79,895 € 24,540 € 18 25 100,000 € -75,000 €
Peugeot 33 Long bond/long 10y CDS 26-Sep-05 02-Nov-05 106,084 € -61,484 € 106,084 € 56 50 85,000 € -85,000 €
Enel 23 Long bond/long 10y CDS 21-Nov-05 09-Dec-05 118,633 € 0 € 169,839 € 24 17 100,000 € -100,000 €
Suez 23 Short bond/short 10y CDS 21-Nov-05 09-Dec-05 45,127 € -45,619 € 45,127 € 9 12 100,000 € -100,000 €
Alstom 10 Long bond/long 3y CDS 09-Jan-06 26-Jan-06 95,964 € 0 € 95,964 € 52 27 75,000 € -75,000 €
Fiat 11 Short bond/short 5y CDS 23-Jan-06 07-Feb-06 62,749 € -42,170 € 62,749 € 56 32 50,000 € -50,000 €
Compass 09 Long bond/long 7y CDS 06-Feb-06 21-Aug-06 -59,604 € -59,604 € 25,270 € 50 13 55,000 € -55,000 €
NGG 20 Long bond/long 5y CDS 13-Feb-06 24-Feb-06 2,245 € -10,547 € 18,962 € 38 46
Suez 23 Long bond/long 5y CDS 13-Feb-06 24-Feb-06 61,544 € -19,702 € 90,599 € 28 38 70,000 € -70,000 €
Kingfisher 10 Long bond/long 10y CDS 20-Feb-06 11-Jan-07 61,651 € -38,929 € 61,651 € 33 44 50,000 € -50,000 €
BAT 11 Long bond/long Jun-11 CDS 06-Mar-06 18-Jan-07 48,492 € -7,468 € 52,987 € 15 6 45,000 € -45,000 €
Autostrade 14 Long bond/long 5y CDS 09-May-06 07-Jul-06 61,665 € -30,360 € 61,665 € 34 25 60,000 € -50,000 €
Rallye 09 Long bond/ long Mar-09 CDS 22-May-06 23-Jun-06 -27,050 € -27,050 € 32,710 € 24 36 50,000 € -50,000 €
Repsol 13 Long bond/ long 10y CDS 22-May-06 20-Jul-07 104,790 € -36,685 € 147,798 € 1 18 90,000 € -90,000 €
Nuon 14 Long bond/long 10y CDS 29-May-06 25-Jul-07 64,544 € -37,188 € 64,544 € 4 15 75,000 € -75,000 €
LVMH 11 Long bond/long 10y CDS 10-Jul-06 10-Nov-06 68,262 € -7,385 € 68,262 € 7 22 50,000 € -50,000 €
Repsol 14 Long bond/long 5y CDS 02-Oct-06 01-Feb-07 58,730 € -19,400 € 58,730 € 27 18 50,000 € -50,000 €
ABB 11 Long bond/long 3y & 10y CDS 30-Oct-06 06-Feb-07 46,165 € -18,319 € 46,165 € 30 17 40,000 € -40,000 €
Ono 14 Short Bond/Long 1y Short 5y CDS 18-Dec-06 14-Feb-07 235,258 € -17,513 € 235,258 € 286 216 200,000 € -200,000 €
Fiat 11 Long bond/long 5y CDS 05-Feb-07 29-Mar-07 40,410 € -45,760 € 44,220 € 14 4 40,000 € -40,000 €
Rallye 11 Short bond/short 5y CDS 05-Feb-07 11-Jul-07 -124,795 € -124,795 € 51,580 € 107 183 100,000 € -100,000 €
Altadis 15 Long bong/long 5Y CDS 12-Feb-07 15-Mar-07 104,900 € 0 € 104,900 € 8 -7 70,000 € -70,000 €
Imperial Tobacco 13 Long bong/long 7Y CDS 12-Feb-07 19-Mar-07 89,900 € -2,250 € 101,300 € 3 18 60,000 € -60,000 €
ISS 10 Long bong/long Sep-10 CDS 12-Mar-07 12-Apr-07 75,260 € 0 € 75,260 € 15 -8 65,000 € -65,000 €
Telefonica 16 Long bond/ long 5y CDS 02-Apr-07 22-May-07 74,550 € -12,756 € 74,550 € 26 17 55,000 € -55,000 €
Fiat 13 Long bond/ long 5y CDS 27-Aug-07 30-Nov-07 -107,510 € -108,980 € 76,150 € 41 66 100,000 € -100,000 €
Portugal Telecom 17 Long bond/ long 10y CDS 27-Aug-07 30-Jan-08 -151,930 € -1,960,070 € 126,000 € 19 40 150,000 € -150,000 €
TKA 13 Long bond/long Sep-13 CDS 03-Sep-07 02-Nov-07 57,580 € -59,710 € 57,580 € 16 5 60,000 € -60,000 €
DT 11 Long bond/long July-11 CDS 17-Sep-07 22-Nov-07 104,050 € -15,289 € 104,050 € 77 53 90,000 € -90,000 €
TI 11 Long bond/long Jun-11 CDS 24-Sep-07 11-Feb-08 130,867 € -62,551 € 130,867 € 27 -2 90,000 € -90,000 €
Schneider 15 Long bond/ long Mar-15 CDS 01-Oct-07 21-Nov-07 172,290 € -7,400 € 172,290 € 24 -4 120,000 € -120,000 €
iTV 11 Long bond/long Dec-11 CDS 08-Oct-07 09-Jan-08 141,970 € -8,820 € 141,970 € 6 -34 110,000 € -110,000 €
Volvo 17 Long bond/long Jun-17 CDS 15-Oct-07 02-Nov-07 119,280 € 0 € 119,280 € 19 3 90,000 € -90,000 €
Bertelsmann 15 Long bond/long 10y CDS 22-Oct-07 05-Dec-07 -63,943 € -63,943 € 48,307 € 5 11 55,000 € -55,000 €
France Telecom 13 Long bond/long 7y CDS 22-Oct-07 30-Nov-07 -58,544 € -58,544 € 34,593 € 10 22 55,000 € -55,000 €
KPN 13 Long bond/long 7y CDS 22-Oct-07 08-Nov-07 -62,940 € -62,940 € 17,303 € 5 17 55,000 € -55,000 €
TI 19 Long bond/long 10y CDS 22-Oct-07 30-Nov-07 -63,619 € -63,619 € 34,083 € 23 37 55,000 € -55,000 €
Nell 15 Long bond/long 5y CDS 19-Nov-07 28-Nov-07 -107,480 € -107,480 € 0 € 43 -5 90,000 € -90,000 €
KPN 15 Long bond/long Jun-15 CDS 26-Nov-07 16-Jan-08 -122,504 € -130,821 € 4,890 € 27 44 120,000 € -120,000 €
Basell 15 Long bond/long 5y CDS 04-Feb-08 17-Sep-08 -198,630 € -198,630 € 135,621 € 92 574 200,000 € -200,000 €
Altadis 15 Long bond/long 5y CDS 11-Feb-08 14-Mar-08 131,083 € -8,001 € 131,083 € 51 4 130,000 € -130,000 €
Grohe 14 Long bond/long 5y CDS 03-Mar-08 15-May-08 139,642 € -133,204 € 332,611 € 108 -21 130,000 € -130,000 €
Schneider 15 Long bond/long 5y CDS 31-Mar-08 05-Aug-08 -256,408 € -256,408 € 48,555 € 9 57 200,000 € -200,000 €
KPN 13 Long bond/long 5y CDS 07-Apr-08 09-Jun-08 249,282 € 0 € 249,282 € 60 7 220,000 € -220,000 €
TI 13 Long bond/long 10y CDS 28-Apr-08 04-Jun-08 176,646 € -7,528 € 176,646 € 31 -10 170,000 € -170,000 €
Basket Telcos Long bond / long 5y cds 19-Sep-08 02-Oct-08 -757,796 € -757,796 € 0 € 96 173 450,000 € -450,000 €
Basket releveraging Long bond / long 5y cds 03-Nov-08 16-Feb-09 451,310 € -93,369 € 451,310 € 149 86 450,000 € -450,000 €
Basket Long Term long bond / long 10y cds 16-Feb-09 13-May-09 589,185 € -341,265 € 589,185 € 128 92 500,000 € -500,000 €
ISS 14 Long bond / long 5y cds 04-Dec-09 22-Jul-10 55,306 € -61,613 € 96,832 € 200,000 € -200,000 €
Sum 1,801,326 € -5,423,278 € 5,259,470 €
Source: SG Credit Research
Performance of our basis recommendations
Credit QuantSight
15 March 2010
24
Hybrid trades No open trades in this portfolio.
Credit QuantSight
15 March 2010 25
Long/short CDS trades
Trade Hedge ratio Entry Date Exit Date Current Perf Min Perf Max Perf Entry Diff Exit Diff
Short Seat Pagine vs. X-Over 107% 12-Dec-05 01-May-06 -51,545 € -54,816 € 48,190 € 19 39
Short Commerzbank 10y sub vs. Senior 140% 06-Jun-06 01-Feb-07 129,784 € 0 € 134,524 € 25 15
Long BT vs. HiVol S6 125% 09-Oct-06 27-Jul-07 -76,770 € -76,770 € 57,018 € 11 31
Long Ciba vs. HiVol S6 110% 09-Oct-06 27-Jul-07 -26,620 € -26,620 € 48,439 € 14 14
Long iTV vs. HiVol S6 45% 09-Oct-06 27-Jul-07 -90,658 € -90,658 € 148,666 € 60 32
Long KPN vs. HiVol S6 90% 09-Oct-06 27-Jul-07 -93,020 € -93,020 € 57,483 € 4 -21
Long Lanxess vs. HiVol S6 75% 09-Oct-06 04-May-07 48,733 € -17,020 € 48,733 € 15 24
Long Pearson vs. HiVol S6 145% 09-Oct-06 18-Jan-07 197,550 € -10,984 € 197,550 € 18 -16
Long Telia vs. HiVol S6 125% 09-Oct-06 18-Jan-07 49,323 € -70 € 63,930 € 12 1
Long Wolters vs. HiVol S6 120% 09-Oct-06 08-Feb-07 35,884 € -17,152 € 44,266 € 11 2
Long BAE vs Main S6 100% 23-Oct-06 27-Jul-07 -79,750 € -79,750 € 3,740 € 2 22
Long Hanson vs Main S6 60% 23-Oct-06 27-Jul-07 -86,184 € -86,184 € 45,424 € 16 -5
Long Kaupthing 10y vs. SenFin S6 420% 13-Nov-06 07-Mar-07 -53,108 € -98,030 € 96,804 € 41 29
Long Altadis, Gallaher vs BAT 100% 18-Dec-06 15-Mar-07 67,150 € -21,403 € 67,150 € 14 31
Long OTE vs. Telenor 5y protection 90% 21-Mar-07 18-Jan-08 63,784 € -37,614 € 63,784 € 6 29
Short Kabel vs. Ono and Unity Media 100% 21-Mar-07 24-Apr-07 110,271 € 0 € 110,271 € 15 28
Short Safeway vs. Tesco 270% 02-Apr-07 18-Sep-07 106,063 € -79,675 € 106,063 € 44 43
Short Telefonica vs. TI 75% 09-May-07 05-Feb-08 45,653 € -17,365 € 61,348 € 10 10
Short SES vs. BskyB 100% 29-May-07 30-Nov-07 56,280 € -34,290 € 56,280 € 11 -2
Long BA vs Lufthansa 50% 09-Jul-07 23-Jul-07 64,175 € -1,130 € 64,175 € 35 74
Short Arcelor vs. Glencore 60% 20-Aug-07 14-Dec-07 -88,070 € -93,152 € 0 € 36 5
Short Endesa vs. EDP 100% 20-Aug-07 14-Sep-07 51,630 € -4,500 € 51,630 € 16 4
Short Bertelsmann vs. Wolters 95% 27-Aug-07 30-Nov-07 -56,465 € -58,254 € 5,574 € 1 -13
Short Casino vs. Rentokil 120% 14-Jan-08 28-Feb-08 466,144 € 0 € 466,144 € 24 -59
Short Banco Esperito Santo vs. Barclays 120% 04-Feb-08 27-Mar-08 -129,864 € -129,864 € 10,748 € 8 30
Consumer Basket 11-Feb-08 20-Feb-08 -254,616 € -254,616 € 40,384 € 32 31
Thyssen vs. Glencore 61% 17-Mar-08 19-Mar-08 300,320 € 0 € 300,320 € 95 35
Bear Cyclicals 12-May-08 03-Oct-08 -318,576 € -318,576 € 76,450 € 242 242
Inflation Trade 16-Jun-08 16-Sep-08 -126,231 € -126,231 € 64,418 € 27 4
Long Ahold vs Cadbury 04-Aug-08 23-Sep-08 -177,540 € -177,540 € 45,800 € 59 82
Long CapGemini vs Casino 01-Sep-08 03-Oct-08 -135,386 € -135,386 € 40,411 € 20 61
Short Iberdrola vs Edison 12-Sep-08 13-Oct-08 -60,920 € -60,920 € 28,839 € 33 79
Long Volvo vs Short Peugeot 18-Jan-10 22-Jul-10 207,055 € 0 € 207,055 €
Total 94,476 € -2,201,588 € 2,861,610 €
Source: SG Credit Research
Performance of our long/short CDS recommendations
Credit QuantSight
CROSS ASSET RESEARCH – QUANTITATIVE ANALYSIS GROUP Global Head of Research Head of Macro Strategy
Patrick Legland Benoît Hubaud (33) 1 42 13 97 79 (44) 20 7676 7168
[email protected] [email protected]
Julien Turc (Head) Benjamin Herzog Karsten Hippler Lorenzo Ravagli (33) 1 42 13 40 90 (33) 1 42 13 67 49 (33) 1 42 13 94 75 (33) 1 42 13 73 76
[email protected] [email protected] [email protected] [email protected]
Marc Teyssier Sandrine Ungari (33) 1 42 13 55 96 (33) 1 42 13 43 02
[email protected] [email protected]
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