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efta-efta01097815DOJ Data Set 9OtherDeutsche Bank
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Deutsche Bank
Markets Research
United States
Economics
Rates
Credit
US Fixed Income Weekly
a
Markets are fixated on the potential for Fed normalization to start earlier
than currently priced and whether China's recent FX adjustment is the
beginning or the end.
Date
4 September 2015
Dominic Konstam
Research Analyst
Aieksandar Kocic
Research Analyst
Joseph LaVorgna
Economist
▪
At a superficial level there appears to be conflicting influences on rates..
The Fed and China may undermine risk asset performance but the
consensus is that if risk assets find support, fewer FX reserves are likely to
pressure rates higher.
Alex Li
▪
On the contrary, we think the most important thing is that both the Fed
and China's FX (ongoing?) unwind represent a tightening of global liquidity
that clearly is negative for risk assets and clearly, at least for the last
decade, has been positive for real rates and the curve. 5y5y is well
correlated with changes in global liquidity and based on recent trends
should be closer to 2 percent.
▪
This reinforces our view that the Fed is in danger of committing policy
error. Not because one and done is a non issue but because the market
will initially struggle to price "done" after "one". And the Fed's
communication skills hardly lend themselves to over achievement. More
likely in our view, is that one in September will lead to a December pricing
and additional hikes in 2016, suggesting 2s could easily trade to 1 1/4
percent. This may well be an overshoot but it could imply another leg
lower for risk assets and a sharp reflattening of the yield curve.
Decline in liquidity implies a lower 5y5y
30
7.0
25
Fed plus fx reserves oy
5y5y rhs
6.0
5.0
4.0
3.0
2.0
1 0
0.0
20
15
10
5
0
-5
10
20001
20061
20121
sower Fed an CI DeurSea bale
Stuart Sparks
Research Analyst
Daniel Send
Reeteereh Aretrat
Steven Zeng. CFA
Maya Bhave
Economist
r4
ITable of Content
US Overview
Page 06
US Credit Strategy
Page 23
Chart Pack
Page 28
Deutsche Bank Securities Inc.
DISCLOSURES AND ANALYST CERTIFICATIONS ARE LOCATED IN APPENDIX 1. MCI IP) 124/04/2015.
EFTA01097815
co
NJ
Deutsche Bank Securities Inc
2015 Outlook Recommendations
Trade Detail
Rationale
Risks
Opened
Entry
Current
P/L
Option
Buy 1x1, 1y1y receiver spreads
with strikes ATMF and ATMS
The post-Fed sell-off has left the spot/forward
spread near multi-year post-crisis highs.
Maximum total loss is
the premium outlay
12/19/14
29c
Swaps RV
Pay 3y1y versus 2y1y
This curve segment might be expected to
steepen if, for example, higher inflation produces
greater pricing power, or if the long-absent
cyclical increase in productivity finally
materializes.
Curve flattens
12/19/14
+40 bp
Option
Sell 1X2 payer spreads at the
short end: Sell $100mn 6M3Y
ATMF vs. buy $200mn 34.5bp
OTM payers at zero net cost
The repricing of Fed hikes could begin in Q2 with
the short end rebounding sharply after initial
rally.
Vulnerable to rally below
the breakevens, with
potentially unlimited
downside.
12/19/14
Option
Sell $100mn 6M10Y straddles
vs. buy $300mn 6M3Y straddles
for a net premium of 175K
With expectations of Fed hikes, volatility should
move to the front end of the curve, while the
back end movements remains
Unilateral spike in
backend vol.
12/19/14
Option
Quiet flatteners: sell $1bn 6M
5s/10s 9.5bp OTM curve cap vs.
buy$1bn 6M 5s/1Os atmf/9.5
curve floor spread at zero cost
Potential for considerable bear flattening should
the market reprice the Fed hikes.
Curve steepens.
12/19/14
Option
Quiet bulls: Sell $100mn 1Y10Y
50bp OTM payers vs. buy
$100mn 1Y10Y ATMF/33
receiver spreads costless
This captures the risk of bullish flattening of the
curve where growth is unable to take off either
due to fundamental weakness or in response to a
policy mistake of premature hikes.
Sell-off beyond 3.10%.
12/19/14
Option
Buy $100mn 1Y30Y receivers,
struck at spot, at 1270c
Bull/flatteners at the back end.
Loss equal to the
options premium
12/19/14
Option
6M dual digital: 2sa F+10bp &
10s < F-10bp offer 11.5%
This is a leveraged expression of a policy-mistake
trade where premature hikes cause a rally at the
back end.
Loss equal to the
options premium
12/19/14
SONO. Dootiao Salk
EFTA01097816
Deutsche Bank Securities Inc.
2015 Outlook Recommendations
Trade Detail
Rationale
Risks
Opened
Entry
Current
P/L
Treasury
Sell
RV
rich bond futures against
cheap off-the-run bonds
The classic bond futures look rich in the long end
Further outperformance
of the 6.25s of 5/2030
in the long end
12/19/14
+21 bp
+5 bp
(Closed on
2125)
+1,249k
Inflation
Swaps
Buy 2yr2yr forward breakevens The 2yr2yr inflation appears attractive on a long-
term history
Further decline in
medium-term inflation
expectations
12/19/14
1.95%
1.60%
-1,367k
Inflation
Buy long end inflation
The long and inflation market looks undervalued on
a long-term perspective, with the 30-year TIPS
breakevens trading below 2.00%.
Inflation markets further
underperform.
12/19/14
1.92%
1.71%
-3,400k
Inflation
Buy 5yr5yr forward breakevens
as a hedge to high rates
The 5yr5yr forward breakevens have dropped to
their multi-year lows.
Decline in energy prices
and a stronger dollar
12/19/14
2.18%
1.97%
-848k
Agencies
Buy 3nc1 y and 5nc6m
implied
callables vs. matched-maturity
bullets
With the Fed moving closer to its first rate hike in a
low-inflation, moderate-growth environment, there
are few themes as sure as the flattening of the
curve, likely going beyond the forwards.
Higher
vol
cheapens callables
relative to bullets
12/19/14
Agencies
2-year vs. 5-year agency
spread curve flattener
On the bullet agency curve, spreads are relatively
tight to the level of rates volatility, and they risk
widening 5.10bp from current levels on our model
incorporating forward vols and the projected level
of outstanding debt.
Increased GSE risk
widens intermediate
spreads
12/19/14
US Credit
US High Yield: Sell covered
puts on HY CDX
With CCC energy bonds trading at 60 cents on the
dollar, and oil just S10 away from matching the
most severe percentage drop in oil prices over
1997-8, our sense is that we may be reaching the
latter stages of a pronounced move lower in a
commodities-driven decline in HY credit valuations
Widening of credit
spreads beyond the
breakeven point as well
as a rally in credit
beyond the breakeven,
with potentially
unlimited downside in
either scenario
12/19/14
Sane: Oeussono hat
EFTA01097817
01
'Other Current Recommendations
o
(D a
Deutsche Bank Securities Inc
Trade Detail
Rationale
Risks
Opened
Entry
Current
P/L
Treasury
RV
Short 10s versus 5s and 30s
10s look rich on the curve against 5s
and 30s
10s richen further
5/8115
+9 bp
+8 bp
-6k
Treasury
Sell
RV
rich bond futures against cheap
off-the-run bonds
Sell the rich classic bond futures
versus off-the-ru n bonds in the 2026
to 2028 sector
Classic bond futures
richen
11/26/14
+21 bp
+20 by
-106k
Inflation
10s/30s breakeven curve steepener
Long end TIPS offer good value
30yr underperforrns
6/26/2015
relative to 10yr
0.13%
0.30%
+1,042k
Inflation
Long front end TIPS breakevens
Front end TIPS look cheap to our
inflation forecast
Energy prices drop
4/10/2015
1.23%
-1.45%
-1,563k
Inflation
Real yield curve steepeners, either
10s-30s or 5s-30s.
Possibly delayed first Fed rate hike is
likely to help intermediate sector
outperform in real yields, steepening
the real yield curve.
Long end outperforms
1/20/2015
5s/30*
-00.65%
10&[email protected]%
6s/[email protected]%
105/[email protected]%
+3,484k
Inflation
Long 10yr inflation swaps versus
10yr TIPS breakevens
The spread between 10yr inflation
swaps and TIPS breakevens is too
tight
TIPS outperform
inflation swaps
1/20/2015
+21 bp
+17 bp
-248k
Inflation
Long 1/2029 breakevens vs 10yr
breakevens
10yr TIPS to 1/2029 breakeven curve
is too flat
1/2029 breakeven
cheapen further
10/3/14
+2 bp
+6 bp
+502k
Inflation
Long 30yr TIPS breakevens
The long end inflation market looks
undervalued; 30yr TIPS breakevens
near multi-year lows
Long term inflation
expectations decline
12/12/14
1.91%
131%
-2,107k
Inflation
Swaps
Long 1yr1yr inflation swaps
We like lyrlyr forward inflation
swaps. Front end breakevens look
attractive.
Inflation expectations
decline
3/3/15
1.84%
1.22%
4362k
Inflation
swaps
Long 2yr2yr inflation swaps
We like being long 2yr2yr or 2yr3yr
forward breakevens to take advantage
of cheap 5s, while avoiding negative
carry in front end TIPS
Medium term inflation
expectations decline
12/12/14
1.77°S
1.68%
-868k
Agencies
Buy long-dated GSE debt:
Buy 3100mm FNMA 6.625 11/30s
vs. T 5.325 2/31s
Legislative momentum of Johnson-
Crapo on GSE reform is credit bullish
for long-dated GSE debt.
Reform bill stalls in
Congress or language
on government
modified.
3/14/14
+48 bp
+62 bp
-953k
Muni
Receive $100m 3y3y SIFMA ratio at
78.2%. (Sorid)
Attractive roll down profile
Further ratio curve
steepening
4/25/13
78.2%
72.0%
+941k
Option
1X2 1Y 5Y5Y ATMF/41 receiver
spreads costless
Long-end rallies on premature or fast
rate hikes (policy mistake)
Rally below the
breakevens; unlimited
downside
9/26/14
0c
-18.4c
411k
EFTA01097818
Deutsche Bank Secunties Inc.
Other Current Recommendations
Trade Detail
Rationale
Risks
Opened
Entry
Current
P/L
Option
Buy $100mn 2Y2Y ATMF receivers vs. sell $22.7mn
2Y10Y ATMF receivers for the net takenut of $55K
Trend growth and law inflation
limit the rise of long rates
Recessionary mode with
bull flattening of forwards
1013!13
-6 bp
-99 bp
-925k
Option
Payer wreeds: Sell $500mn 2Y2Y 92bp OTM payers
vs. buy $50mn 2Y30Y 25bp OTM payers at zero net
cost
Vol differential is favorable for
initiating a positive carry baar
steepening trade
The curve baar gatten
1/2114
+2 bp
.0 bp
-25k
Swaps
Rv
Receive $1,023.4mm 2y1y rata versus pay
$1,002.7mm tyty rata
Positive carry look at repricing
Fed
The curve baar steepens
5/20/14
+95 bp
+95 bp
+2,305k
Swaps
Rv
Receive $1,023.4mm 2y1y rata versus pay $431.2mm
tyty rata and $597mm 3y1y rata
Funher rally via Fed delay
benefits 2yly rata
2y1y undemerformance
5/20/14
-10 bp
-17 bp
+405k
Swaps
Rv
Forward fly: Pay fixed on $298.6 mm 10y5y versus
receive fixed on $72.9 mm 5y5y and 5257.6 mm 15y5y
5y rata, 10y forward is
hestorically rich versus 5y rata,
5y forward and 5y rats,
15yloward
Funher 10y5y
outperformance
4/29/14
+22 bp
+21 bp
-416k
Cross
Market
Buy $10m each of SPNTAB 2.95%3/16; SPABOL
5/16; DNBNOR 2.90% 3/16 on ASW. (Sond)
Risk-on retightening of
covered bonds in stable rates
regime
Bank credit underperforms;
Eurozone credit crunch;
Widening in a rata sell-off
7/25/13
+25 bp
+37 bp
+31 bp
+30 bp
+25 bp
+31 bp
-930k
Cross
Market
US-Europe spread tightener: Receive fixed in $244 mm
rare
USD 5y5y rata vs. pay fixed on E165.8mm EUR 5y5y
US recovery disappoints
Spread witlens
1/24/14
+127 bp
+136 bp
-10k
PIL as of 09/03/2015 prices.
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Spotte 0—ara
EFTA01097819
4 September 2015
US Fixed Income Weekly
United States
US Overview
Rates
Gov. Bonds & Swaps
Rates Volatility
Dominic Konstam
Research Analyst
Aleksander Kocic
Research Analyst
•
Markets are fixated on the potential for Fed normalization to start earlier
than currently priced and whether China's recent FX adjustment is the
Alex Li
beginning or the end.
•
At a superficial level there appears to be conflicting influences on rates. !MEP
The Fed and China may undermine risk asset performance but the
consensus is that if risk assets find support, fewer FX reserves are likely to
Stuart Sparks
pressure rates higher.
Research Analyst
•
On the contrary, we think the most important thing is that both the Fed
and China's FX (ongoing?) unwind represent a tightening of global liquidity
that clearly is negative for risk assets and clearly, at least for the last
Daniel Send
decade, has been positive for real rates and the curve. 5y5y is well
correlated with changes in global liquidity and based on recent trends
Research Anal
should be closer to 2 percent.
•
This reinforces our view that the Fed is in danger of committing policy
error. Not because one and done is a non issue but because the market
Steven Zeng. CFA
will initially struggle to price "done" after "one". And the Fed's
Research Analyst
communication skills hardly lend themselves to over achievement. More
likely in our view, is that one in September will lead to a December pricing
and additional hikes in 2016, suggesting 2s could easily trade to 1 Yi
percent. This may well be an overshoot but it could imply another leg
Aditya Bhave
lower for risk assets and a sharp reflattening of the yield curve.
•
We think risk/reward has shifted toward paying spreads in the front end.
Financing is challenging with term GC trading high relative to LIBOR, but
we think rolling the position ovemight should allow investors to average in
financing better than LIBOR, providing some backstop against tightening if
significant additional intervention-related selling does not materialize.
•
We like being long front end breakevens in forwards, e.g., one-year
breakevens implied by short maturity TIPS, such as the 7/2016s and the
7/2017s. One can also hedge out energy prices in that trade to create a
synthetic exposure to core CPI. A simpler version of the implied front end
forward breakevens is to be long front end breakevens outright. They have
lagged oil prices.
•
5-year inflation basis has recovered, while 30-year inflation basis has done
less well, and remains in the low end of the long term trading range.
Investors should consider inflation basis steepeners by being long 30-year
inflation basis against 5-year inflation basis.
The case for more liquidity
Investors are rightly concerned about the impact of both a possible early start
to Fed normalization and the probably yet-to-be-resolved Chinese FX
adjustment. There is a reasonable consensus that both encourage further
downside to risk assets. There is more uncertainty around bond yields.
Potential FX intervention might imply selling of Treasuries, especially the front
end where most reserves are held. But if higher short rates from either those
sales or Fed tightening, undermine equities, bond yields might actually fall.
•
Page 6
Deutsche Bank Securities Inc.
EFTA01097820
4 September 2015
US Fixed Income Weekly
The right framework to view potential Fed tightening as well as China's FX
adjustment is in the context of global liquidity and that relationship with
financial assets. Liquidity in the broadest sense tends to support growth
momentum, particularly when it is in excess of current nominal growth.
Positive changes in liquidity should therefore be equity bullish and bond price
negative. Central bank liquidity is a large part of broad liquidity and, subject
to bank multipliers, the same holds true. Both Fed tightening and China's FX
adjustment imply a tightening of liquidity conditions that, all else equal,
implies a loss in output momentum. Typically this should be associated with
lower yields. This runs counter to a common perception that forex
intervention that leads to Treasury sales pushes up yields. To the extent that
it does, we suspect this is a short lived temporary affair and will easily be
dominated by the more sinister implications of dwindling global liquidity. We
note that the recent weakness in global nominal growth that we highlighted
last week is highly consistent with weaker global liquidity and that the
weakening in liquidity is not new news but has been ongoing since late last
year. Not only has it been driven by falling FX reserves but also by the
slowing of the Fed's balance sheet. To the extent that other central banks
have tried to expand liquidity, in terms of historic relationships to financial
assets, FX reserves and the Fed's balance sheet are more important. We
think this reflects the role of the dollar as the reserve currency in the global
financial system.
Let's start from some basics. Global liquidity can be thought of as the sum
of all central banks' balance sheets (liabilities side) expressed in dollar
terms. We then have the case of completely flexible exchange rates versus
one of fixed exchange rates. In the event that one central bank, say the Fed,
is expanding its balance sheet, they will add to global liquidity directly. If
exchange rates are flexible this will also mean the dollar tends to weaken
so that the value of other central banks' liabilities in the global system goes
up in dollar terms. Dollar weakness thus might contribute to a higher dollar
price for dollar denominated global commodities, as an example. If
exchange rates are pegged then to achieve that peg other central banks
will need to expand their own balance sheets and take on dollar FX
reserves on the asset side. Global liquidity is therefore increased initially by
the Fed but, secondly, by further liability expansion, by the other central
banks. Depending on the sensitivity of exchange rates to relative balance
sheet adjustments, it is not an a priori case that the same balance sheet
expansion by the Fed leads to greater or less global liquidity expansion
under either exchange rate regime. Hence the mere existence of a massive
build up in FX reserves shouldn't be viewed as a massive expansion of
global liquidity per se - although as we shall show later, the empirical
observation is that this is a more powerful force for the "impact" of
changes in global liquidity on financial assets.
The chart below shows the RMB vs. the ratio of PBOC to Fed balance sheets,
using prevailing exchange rates at the time as the conversion factor. The initial
post crisis period sees the Fed balance sheet expand relatively while the
exchange rate is unchanged. There is then a phase of RMB appreciation and
relative stability in the balance sheet ratio and then the PBOC balance sheet
expands with continued RMB appreciation.
Deutsche Bank Securities Inc.
Page 7
EFTA01097821
4 September 2015
US Fixed Income Weekly
I RMB vs. ratio of Fed to PBOC balance sheet
1.7
6.9
1.6
- 6.8
6.7
6.6
6.5
6 4
6.3
6.2
6.1
6.0
1.5
1.4
1.3
ratIn of
P
1.2
1.1 -rr—
1
sheets
.(fogisrpis
20084
20114
20144
Sane. Mbnbogron Daman avn.
The table below highlights these three periods in terms of the actual notional
impact on global liquidity via the combined effects of revaluing the PBOC balance
sheet as well as the changes in the underlying domestic liquidity. Under a relatively
stable currency the PBOC expanded its balance sheet aggressively in the first
phase, presumably in part being obliged to accelerated FX reserve accumulation;
the Fed was more or less in between expanding their balance sheet. The second
phase saw the more dramatic currency appreciation with a strong Fed expansion
but also strong PBOC liquidity expansion. The third phase saw even stronger Fed
balance sheet expansion but weaker PBOC expansion and more modest RMB
appreciation. The last two phases combined saw global central bank liquidity
expand by notionally similar amounts i.e. $1500 billion. More than double the first
phase when the currency was more stable and the Fed was quieter. However note
that as expected, the reserve accumulation was almost the same in each period,
around 500-600+ billion. So even though the Fed wasn't expanding the balance
sheet much, the hangover of the previous expansion and capital flows in general
required a more aggressive intervention by PBOC to acquire reserves and maintain
the a stable currency. So a notionally less aggressive expansion in global central
bank liquidity under a stable exchange rate regime was disproportionately more
skewed to reserve accumulation.
IChanges in central bank balance sheet liquidity
...Wu
as
dig ChM PAIS &meg WI
On
%68• 88416060 dunte 14214
knew, chi
Ste
bit
Wait
MUM,
bit
bit
201022-200824
41%
93
173%
3586
684
682
23%
532
622
508
201.241.201040
252%
MI
142%
3534
6)7
631
7.2616
827
1.41:6
657
201981-82120
393%
1126
7.734
2274
624
609
251%
492
1618
510
Sayre.
e Maya, a Daman &Mk
The next issue is given changes to liquidity how does it impact asset prices.
We can think of the three components of liquidity: the Fed's balance sheet, the
accumulation of FX reserves by other central banks; and the residual of other
central banks' liquidity expansion after the accumulation of FX reserves. As the
chart below shows in terms of growth the explosion of the Fed stands out
during the crisis but there have been strong expansions in other central banks'
liquidity excluding reserve increases. FX reserve accumulation has been quite
weak since 2012 and is now negative. In absolute terms liquidity is strongest in
FX reserves and other central banks ex reserves by a factor of three times for
the Fed's balance sheet.
Page 8
Deutsche Bank Securities Inc.
EFTA01097822
4 September 2015
US Fixed Income Weekly
Sources of central bank liquidity - change yoy
180
160
140
120
100
80
60
ao
ry
20
20
20031
20081
20131
Saar ObowboR g teal Deutsch, Dint
Sources of central bank liquidity - $ billion
16000
14000
12000
10000
8000
6000
4000
2000
0
—FX reserves
—Fed
r B s ex Reserves
20031
20081
20131
Sown IN oombep ow Detach s rank
Let's start with risk assets, proxied by global equity prices. It would appear at
first glance that the correlation is negative in that when central bank liquidity is
expanding, equities are falling and vice versa. Of course this likely suggests a
policy response in that central banks are typically "late" so that they react once
equities are falling and then equities tend to recover. If we shift liquidity
forward 6 quarters we can see that the market "leads" anticipated" additional
liquidity by something similar. This is very worrying now in that it suggests
that equity price appreciation could decelerate easily to -20 or even 40 percent
based on near zero central bank liquidity, assuming similar multipliers to the
post crisis period. From q2 levels that implies an MSCI level of around 1350 for
2015q4 (reference q2 @ 1735), the end August level was 1645 i.e. still another
10-15 percent decline.
World equities yoy vs. central bank liquidity yoy
50
40
WORLD EQUITIES YOY
40
35
25
20
30
Fed plus fx reserve
lu
then c
(ex fx) yoy rhs
20
10
0
10
j
\
s/
15
10
5
0
20
30
-40
50
20041
20101
Sages Bbornbug and Darse-no &ht.
World equities yoy vs. components of liquidity yoy
50
30
10
10
30
FX
e es
50
Othe
ks ex Reserves
—world quitiesyoy
20031
20081
20131
Source Beonnboop one Wound* Mat
Interestingly, the components of liquidity themselves behave a little differently
with FX reserves and Fed balance sheet being more in line recently than other
central bank liquidity. This reflects the ECB and BoJ tardier reactions to
balance sheet expansion in the post crisis period. If we only consider the FX
and Fed components of liquidity there appears to be a tighter and more
contemporaneous relationship with equity prices. The suggestion is at one
Deutsche Bank Securities Inc.
Page 9
EFTA01097823
4 September 2015
US Fixed Income Weekly
level still the same, absent Fed and FX reserve expansion, equity prices look
more likely to decelerate and quite sharply. The tie out, presumably with the
"leading" indicator of other central bank action is that other central banks have
been instrumental in supporting equities in the past. The largest of course
being the ECB and BoJ. If the Fed isn't going doing its job, it is good to know
someone is willing to do the job for them, albeit there is a "lag" before they
appreciate the extent of someone else's policy "failure". And just to ram home
the point — this differential relationship is entirely consistent with the idea that
FX reserves are accumulate don the back of Fed balance sheet expansion and
so if the Fed's balance sheet is not expanding then it is a double whammy that
FX reserves are also not expanding and as we shall see below are contracting!
World equities yoy lead by 6 qtrs vs. central bank
liquidity yoy
50
40
40
WORLD EQUITIES YO
35
30
25
30
Fed plus fx reserves
other ohs (ex fx) yoy rhs
20
10
‘
0
10
20
15
10
5
0
20
1
1/4\
fsv
30
40
50
20041
20101
San! ObornantmlOwitrehr Am*
World equities yoy vs. Fed plus FX reserves change yoy
50
30
.
.WORLD EQU
ES TOY
- 25
20
- 15
10
- 5
-0
40
Fed pl
re rves yoy
30
20
10
A
i-
0
10
20
30
-40
-50
-5
20001
20061
20121
swore: tilonOrgeetietacne Bore
So now let's be a little more specific on the Fed balance sheet and FX reserves
now. The next chart shows both are decelerating sharply. The Fed's balance
sheet is almost flat on the year and reserves are down around 5 percent and
counting. The two as we have demonstrated are clearly connected. In the
reverse scenario (as opposed to the above, when we demonstrated the
connection when the Fed was expanding its balance sheet), tighter Fed policy
forces other central banks to spend reserves to defend their currency peg and
in principle shrink their balance sheets. This is the example recently with the
adjustment in China's FX regime to accommodate more market based fixings.
The ensuing unwind of the China carry trade has solicited what appears to
have been significant FX intervention, judging by the move in front end swap
spreads and dealer inventory of shorter dated Treasuries. The main point
however is that it is not a change in FX regime per se that drives the loss of
liquidity but that that change emanates from a tighter Fed balance sheet.
Hence in the event that the Fed raises rates and we start to worry about
balance sheet unwind this becomes a much more significant issue going
forward. The Fed's balance sheet for example could easily be negative 5
percent this time next year, depending on how they manage the SOMA
portfolio and would be associated with further FX reserve loss unless countries,
including China allowed for a much weaker currency. This would be a great
concern for global (central bank liquidity)
So one counter is that FX reserve loss can be offset by other central banks'
liquidity injection. At one level this is tempting but flawed; at another level it
is more plausible. The first level is that FX reserve loss typically is "sterilized".
The shock to a country's financial system from the sudden loss of liquidity
Page 10
Deutsche Bank Securities Inc.
EFTA01097824
I PBOC injection of funds vs. CNY
600
—10 day total of net injection of funds by PBoC (8n Yuan)
6.45
6.40
400
200
6.35
6.30
6.25
6.20
-200 •
6.15
6.10
4 September 2015
US Fixed Income Weekly
needs to be offset and recently in the case of China the PBOC has acted to
reinstate domestic liquidity and also has cut reserve requirements. However
as we demonstrated above this component of liquidity seems to have a
lagged impact on say (equity) financial assets relative to either the Fed or FX
reserves themselves This is actually quite intuitive. The liquidation of FX
reserve holdings reflects forced redemptions of domestic currency holdings.
Simply forcing currency back into the system to satisfy those redemptions
shouldn't be associated with restoring asset prices to where they were
before. Ultimately in a fiat money system asset prices reflect "outside" i.e.
central bank money and the extent to which it multiplied through the
banking system. The loss of reserves represents not just a direct loss of
outside money but also a reduction in the multiplier. There should be no
expectation that the multiplier is quickly restored through offsetting central
bank operations.
—USOCNY (rhs)
-400
6.05
-600
6.00
Jan-14
Jul-14
Sane! Obowbent Anwar [Pond Damon. Bent
Jan-15
Jul-15
1
We now move on to interest rates. If equities have a negative correlation
with liquidity, it is not surprising to find that interest rates have a positive
correlation at least since the crisis. Again in line with the above analysis
regarding equities, the correlation in contemporaneous time is better if we
focus on Fed and FX reserves. However even then we notice the correlation
is a little loose at times. This raises an obvious issue in terms of how one
thinks about nominal yields in terms of additional central bank liquidity and
FX reserve accumulation. On the one hand the more Fed may help lower real
yields but raise inflation expectations; more FX reserve accumulation may be
just lower nominal yields and if anything real yields to the extent that by
accommodating Fed monetary policy expansion the US "exports" inflation
risk. Running across everything is the problem that equities are generally
stronger (weaker) of liquidity is expanding (falling).
Deutsche Bank Securities Inc.
Page 11
EFTA01097825
4 September 2015
US Fixed Income Weekly
10 yr yield vs. FX/Fed defined liquidity
30
7.0
25
6.0
5.0
4.0
3.0
2.0
1 0
0.0
20
15
10
5
0
Fed
tx
1
plus
reserves yoy
rhs
-5
10
20001
20061
20121
Son Obornbagt ham. LPercl °mute S,
10 yr yield vs. broader defined liquidity
7.0
- 6.0
- 5.0
- 4.0
- 3.0
2.0
1.0
40
35
30
25
20
15
10
5
0
—red plus hc reserves plus other
k 4
yey
—10y rhs
-5
10
0.0
20001
20061
20121
Swear fel and Davtich :0 Sent
Breaking down the breakeven and real yield components verifies that central
bank liquidity has been more associated with real yields then breakevens,
however the relationship is perverse! Real yields have tended to fall when
balance sheet expansion is slowing while breakevens have generally been more
sticky. This suggests that risk assets drive (real) yields and that breakevens
anticipate a (delayed) liquidity injection. This is corroborated by also considering
the curve. Like real yields 5s10s is well correlated (positively) with real yields.
Note that prior to the crisis the relationship looked more "normal" in that
expanding liquidity drive yields lower and vice versa. So something has changed
since the crisis—this we think is very important and again, will revisit below.
Liquidity vs. 10 yr real yields
50
3.3
ao
- 2.8
- 2.3
1.8
1.3
30
20
10
0.8
0.3
-0.3
0.8
0
—FX + Fed balance sheet yo
.—Q.17yr real rhs
-10
20001
20061
20121
Son abomtarpHano• Wend Dautzleba Bank
Liquidity vs. 10 yr breakevens
50
2.8
40
- 2.6
- 2A
2
30
20
1
- 2.0
2
- 1.8
1.6
10
0
—FX+ Fed balance In et yoy
- 1.4
1.2
.
..i.0 yr bel rhs
10
1.0
20001
20061
20121
Saud: Fad M Mean*
The relationship between 5s10s and 10s in real terms screams 5y5y! And
indeed we overlay 5y5y to liquidity there is a very tight, almost scary,
relationship. The relationship even predates the crisis. Tighter liquidity
essentially forces the 5y5y nominal rate lower reflecting some combination of
a flatter curve and higher yields with a steeper curve and lower yields.
Fundamentally we think this ultimately speaks to a lower terminal policy rate
so that it doesn't really matter whether the term structure is trying to shift
higher or lower but the curve will more than compensate so that if the trend is
towards less central bank liquidity, the terminal rate is falling.
Page 12
Deutsche Bank Securities Inc.
EFTA01097826
4 September 2015
US Fixed Income Weekly
Right now the decline is central bank liquidity suggest 5y5y should be closer to
2 percent or below not 3 percent to above. And this is before the Fed has
tightened and China has potentially "finished" its adjustment.
Liquidity vs. 5s10s
30
1.6
25
•
Fed plus fx reserves oy
5s10s rhs
1.4
1.2
1.0
0.8
0.6
20
15
10
5
D.4
0.2
0.0
.0.2
0
5
10
-0.4
20001
20061
20121
Saves amity faun (Pend Deuiseba Rant
Liquidity vs. 5y5y
30
7.0
25
Fed plus fx reserves oy ,
.5y5y rhs
6.0
5.0
4.0
3.0
2.0
1.0
0.0
20
15
10
5
0
-5
10
20001
20061
20121
Swat Fig mar...se* Boni
And of course the breakdown in 5y5y between real and inflation reinforces the
story that it is the real rate not inflation expectations that drive this result. And
this is again consistent with the risk asset concern that it is the lack of liquidity
that undermines risk assets that in turn drives real yields lower, despite
keeping breakevens relatively inflated. One conclusion is that if investors
believe that liquidity is likely to continue to fall one should not sell real yields
but buy them and be more worried about risk assets than anything else. This
flies in the face of recent concerns that China's potential liquidation of
Treasuries for FX intervention is a Treasury negative and should drive real
yields higher. It is possible that if risk assets do very well then maybe the
correlation with interest rates is broken. But like all these relationships for us, it
is easier to work with the correlations that currently persist rather than to
predict random breaks. And the potential breaks should be more cheaply
hedged rather than making for a core portfolio allocation. I.e. cheap SPX calls
based on rates lower. More generally the simple point is that falling reserves
should be the least of worries for rates - as they have so far proven to be since
late 2014 and instead, rates need to focus more on risk assets.
Liquidity vs. 5y5y real
30
3.5
2S
3.0
20
2.S
15
2.0
10
1.5
S
1.0
0
5
—fed plus fx reserves yoy
0.5
0.0
—spy real Ms
10
-OS
20001
20061
20121
Smear bomb"' raawa tPrd On,ssche Bank
Liquidity vs. 5y5y BEI
30
3.0
25
- 2.5
2.0
1.5
20
15
10
1.0
0.5
0.0
5
0
5
—Fed plus fx reserves yoy
—sysy bee rhs
10
20001
20061
20121
I
Soutar fed and Donn. Sent
Deutsche Bank Securities Inc.
Page 13
EFTA01097827
4 September 2015
US Fixed Income Weekly
Even without considering the empirical relationships, it is also clear that FX
intervention is very much a short term affair. As the chart below shows the
recent jump in dealer positions in less than three years is consistent with the
Treasury data for 2014 that shows the preponderance of foreign official
Treasury holdings is held in the sub 3 year sector. Very little is held in longer
dated maturities so any FX intervention is anyway more likely to flatten the
yield curve than steepen it.
l
About 56% foreign official holdings of Treasuries are
under three years in maturity
60%
Distribution of Maturities in Treasuries Held
by Foreign Investors
50%
40%
• Official Institutions
0 Ore.-ate investors
30%
20%
10%
0%
a
0.3y
Sant. rneanywq Otwexere BW
3-5y
5-10/
10y.
I
Dealer positions in Treasuries maturing in 3 years or less
S
E
30,000
20.00::
10,000 I
0 t
-10,000 1
-20,000
Jan-14
Jul-14
Spumy fee and Axon. emit
—Dealer Net Outright Position:
Govt Coupon Securities,Due 3-
Yr or Less(EOP,MilS)
The relationship between central bank liquidity and the byproduct of FX
reserve accumulation is clearly central to risk asset performance and
therefore interest rates. The simplistic error is to assume that all assets are
treated equally. They are not - or at least have not been especially since the
crisis. If liquidity weakens and risk assets trade badly, rates are most likely to
rally not sell off. It doesn't matter how many Treasury bills are redeemed or
USD cash is liquidated from foreign central bank assets, US rates are more
likely to fall than rise especially further out the curve. In some ways this
really shouldn't be that hard to appreciate. After all central bank liquidity
drives broader measures of liquidity that also drives, with a lag, economic
activity. The indicators of excess liquidity (see below) are but derivatives of
central bank liquidity and the bank or "inside" money multipliers. If liquidity
is tightening relatively to nominal growth, real growth will tend to slowdown
later. Right now the message is not good for the OECD, excess liquidity
indicators point to real growth losing momentum. The IMF seems to get the
picture. China is probably getting the picture but faces the conundrum of
how to manage the carry trade unwind with minimal disruption. The grass is
definitely though greener if the currency is weaker and they hang onto most
of their reserves. Ironically the excess liquidity indicator has recently
improved for China although this is as much to do with decelerating nominal
growth.
Page 14
Deutsche Bank Securities Inc.
EFTA01097828
4 September 2015
US Fixed Income Weekly
'Excess liquidity indicator vs. output: OECD
30% 1 —Global excess liquidity yoy + m lead OECD
20%
—OECD output momentum
10% •
0%
-10%
-20%
-30%
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
San. geowbvg amakrisraro &,*
'Excess liquidity indicator vs. output: Chin.::
40%
30%
20%
10%
0%
-10%
-20%
—
China excess liquidity yoy +12m lead
China
—
China output momentum
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16
SorremOrcentimewW0erinawarrerr
The more sinister undercurrent is that as the relationship between negative
rates has tightened with weaker liquidity since the crisis, there is a sense that
policy is being priced to "fail" rather than succeed. Real rates fall when central
banks back away from stimulus presumably because they "think" they have
done enough and the (global) economy is on a healing trajectory. This could be
viewed as a damning indictment of policy and is not unrelated to other
structural factors that make policy less effective than it would be otherwise --
including the self evident break in bank multipliers due to new regulations and
capital requirements. Of course our definition of "failure" may also be a little
zealous. After all why should equities always rise in value? Why should debt
holders be expected to afford their debt burden? There are plenty of altemative
viable equilibria with SPX half its value, longevity liabilities in default and debt
deflation in abundance. In those equilibria traditional QE ceases to work and
the only road back to what we think is the current desired equilibrium is via
true helicopter money via fiscal stimulus where there are no independent
central banks. One step at a time...
6mly-2y2y as a carry-efficient flattener
We recommend a 6mly-2y2y flattener as an optimal carry proxy for USD 2s5s.
The 6mly-2y2y can be thought of a leveraged version of the 2s5s spot: it has a
98% correlation and a beta of 1.74 with the latter over the last 12 months.
Because of the 1.74x leverage, the beta-adjusted 3m carry is -2.Obp instead of
-2.9bp for 2s5s, a 31% improvement.
This flattener takes advantage of a recent 2.3 standard deviation decline in the
(negative) roll for the 6mly paying leg, which compares to a 1.7 standard
deviation decline in the 2y spot. The positive roll for receiving the 2y2y is also
more attractive; it had just a 0.5 standard deviation reduction compared to a
0.7 standard deviation reduction in the 5y spot.
Historically, 2s5s flatteners have performed well going into a tightening cycle,
with nearly 70 percent of trades put on within three months of the liftoff
beating their ex-ante forwards and thus being profitable. The market clearly
thinks Friday's mixed jobs report was not enough to take a September liftoff
completely off the table. DEC15 Fed funds future sold off 1.5bp after payrolls,
and the implied probability of hiking in September rose slightly from Thursday
to 34% at the time of writing. The 2s5s slope also flattened 2.5bp to 71.5bp,
but still remains 7bp+ above its 2015 lows. A policy error by the Fed (i.e. hiking
more than once this year in spite of declining global liquidity and falling
inflation) can easily flatten 2s5s to 50bp or below. The risk to this trade is if the
Fed relents in September but we think they will more likely than not do a
Deutsche Bank Securities Inc.
Page 15
EFTA01097829
4 September 2015
US Fixed Income Weekly
"dirty" relent, which is to keep October and December FOMC dates in play. In
this case 2s5s could steepen slightly but such a move would be short lived and
limited in magnitude, if not for a hyped expectation of an October liftoff it
would be because China's FX intervention flows continue to exert a flattening
pressure on the curve, which we discussed earlier in this note.
I6m1y-2y2y as a leveraged proxy for 2s5s spot
'Flattening carry is 31% better in 6m1y-2y2y than in 2s5s
—finsly-2y2y (left se)
—2s5s spot (right axis)
Correlation 98.4%
Bela- 1.74
Sep Oct Nov Dec Ian Feb Mar Apr May kin
Jul
Aug Sep
S000t goonsche gag
SS
Level
(N
Dv01 i
Ratio
3M carry
(bp)
Beta
2y spol
0.83
1.983
(8.3)
5y spot
1.54
4.838
5.3
2y-5y spot 0.71
2.44x
(2.9)
1.00
6m1y
0.82
0.992
(15.1)
2y2y
1.87
1.927
11.6
6mly-2y2y 1.05
1.94x
(3.5)
1.74
Santa OeunctelLvg
Beta-
adjusted Improve
carry (bp) ment
(2.9;
(2.0)
31%
Risk/reward shifting towards paying front end spreads
Front end spread tightening has been considerable given concems about
possible intervention-related selling, and has reached levels we think offer
value. At the time of writing the most recent Chinese reserves data have not
been released, and markets will naturally be looking for concrete evidence that
intervention-related sales have indeed been material. While this may introduce
event risk into paid positions in spreads, we think risk reward should be biased
toward spread re-widening from current levels.
There are three primary supporting arguments. The first is that China will be
increasingly defensive of its reserves, and is more likely to devalue in a larger
increment to discourage new speculation against the RMB and trap
speculative capital. A large enough increment should significantly reduce
further speculation on the margin and hence reduce the need to liquidate
Treasury positions to sell dollars and buy domestic currency.
The second is that there remains some possibility that if the Fed does indeed
raise rates (which we think would increase the probability of further
devaluation in a lumpy increment) that IOER will have to be set higher than the
top of the desired band for overnight effective funds in order to create
adequate incentive for banks to do the "arb" whereby they absorb cash
balances in the overnight market and then deposit them at the Fed. Third,
both a devaluation and the likely risk-off market environment that would
accompany it should bias spreads wider.
If, as remains our central expectation, the Fed does not raise rates, then we
would expect speculative pressure against the RMB to decrease somewhat,
slowing reserve loss and Treasury liquidation. So even though diminished
financial stress might work against spreads in this scenario, intervention-
related selling could well decline.
Financing is obviously critical with front end spreads, and this trade is
complicated somewhat by high term repo rates relative to LIBOR.
The
September 2y note, given current levels, is likely to a reopening of the
Page 16
Deutsche Bank Securities Inc.
EFTA01097830
4 September 2015
US Fixed Income Weekly
September 2017 5y note, which means the large issue is unlikely to trade tighter
than GC. We note that as usual this September 2y should be the CTD issue into
the December TU contract.
In fact 3m GC has traded at levels above LIBOR as financing markets price
defensively for the possibility of a September rate hike. This would effectively
mean borrowing to fund the position at higher rates than offered by the
Treasury asset itself. In this case investors are likely better served by rolling
on open rather than locking in term financing. September month/quarter end
could see elevated ovemight GC levels, which would argue for exiting the
trade at or shortly following the RAC meeting. Naturally the trade is exposed
to further spread tightening, and in theory potential losses are unlimited.
However, more pragmatically, financing spreads offer some support against
dramatic spread tightening.
Dealer positions in Treasuries maturing in 2 years or less
30.0
25.0
20.0
15.0
c
0
-.4 10.0
.0
5.0
0.0
-5.0
-10.0
—Primary dealer inventory <2 y
:4"
yb
Nts
St'
41'
N
e,
N,
,tb
&
64
e;
C4.
D.
C
4:
.
(<
S
+
Of
9
,ke
4,
Sans &obi.) Anew matrons &wok
Did dealer positions tell much about intervention flows in
the past?
The concentration of foreign official holdings of Treasuries in the front end of
yield curve suggests foreign reserve losses lead to yield curve flatteners to the
extent that central banks sell their Treasury holdings. Treasury's TIC data
shows that about 56% foreign official holdings of Treasuries mature within
three years as of June 2014, up from about 48% as of June 2010.
We note that primary dealer positions in short dated coupon Treasuries and
TIPS have increased rapidly over the past few weeks. For example, dealer
positions in Treasuries maturing in three years and less jumped to $18.6 billion
on August 26; they were as low as -$11 billion in early July. Dealer positions in
short dated TIPS set a record high on August 19.
Deutsche Bank Securities Inc.
Page 17
EFTA01097831
4 September 2015
US Fixed Income Weekly
There has been an increased concentration in short
Dealer positions in TIPS maturing in less than or equal to
dated Treasury holdings by foreign official institutions
2 years
60% -
SO%
40% -
30%
20% -
10%
0% -
Save* Tv
Mal 1
Percentage of Treasury Maturities Held by Foreign
Official Institutions
7,000
6,000
02010
• 2014
5,000
4,000
3,000
E
69
2,000 •
3.5y
S.lOv
10y.
-1,000
Jan-14
—Rimary Dealer Positions: TIPS
Due in Less than or Equal to 2
Years (EOP,MiLS)
.Sava. Fed awotvyur Binif
Jul-14
How much did intervention-related flows affect dealer positions in the past? To
answer that question, we analyzed Japan's foreign exchange operations in US
dollars and dealer positions in short dated coupon Treasuries from 1991 to the
present. The most recent operations occurred in 2010 and 2011, when Japan
bought US dollars and sold yen. The operations that sold US dollars and
bought yen were less frequent and have not occurred since 1998. It was
evident that dollar buying foreign exchange operations coincided with a
decline in dealer positions in short dated Treasuries, but the effects were not
overwhelming.
On a related note, there has been an uptick in PBoC's OMO net injections of
funds recently, in the order of CNY215 billion in the second half of August,
which came along with the CNY depreciation. Last time when the net
injections in this order of magnitude occurred was late February.
Opportunities abound in inflation markets
Volatility in inflation markets has continued along with commodities and
equities, creating opportunities for active traders. We like being long front end
breakevens in forwards, e.g., one-year breakevens implied by short maturity
TIPS, such as the 7/2016s and the 7/2017s, currently trades around 1.3%.
One can also hedge out energy prices in that trade to create a synthetic
exposure to core CPI. For example, one can use gasoline RBOB futures Dec16
and Dec17, which have higher open interest than neighboring contracts, taking
advantage of the contango. The average core CPI over the past ten years is
about 1.9%. Only briefly in 2010, did the year-over-year core CPI dipped below
1.0%.
Page 18
Deutsche Bank Securities Inc.
EFTA01097832
4 September 2015
US Fixed Income Weekly
'Long forward breakevens, either outright or hedged with energy futures
2.2
2.0
1.0
-
1y fwd implied 8E from 7/15/16 to 7/15/17
-
lyfwd implied 8E from 1/15/17 to 1/15/18
8/1/15
2/1/15
3/1/15
4/1/15
5/1/15
6/1/15
7/1/15
Sane Sxmbrcr hunre [Pond Desna Banc
9/1/15
A simpler version of the implied front end forward breakevens is to be long
front end breakevens outright. They have lagged oil prices. A regression of
five-year TIPS breakevens against oil prices on past six months' data suggests
breakevens are too low by 15bp to 20bp, given the current oil prices. Similarly,
5s/10s breakeven curve appears too steep and have room to flatten relative to
oil prices. So the weakness in front end breakevens appears to be more than a
function of energy prices. Dealer positions in TIPS maturing in less than or
equal to 2 years are at a record high.
'Front end TIPS breakevens have lagged oil prices
I5stl0s breakeven curve appears to have room to flatten
1.8
1.7
1.6
p 1.5
1.4 -
a
▪ 1.3
1.2 .•
•
1.1 •
1.0
38
40
42
44
46
48
50
52
Oil Prices
y= 0.0234 0.3417
= 0.7756
•
•#*
•
*
• • •
#
•
•
*.
*
• •*,
•
• Last limos data
•9/4/2015
Sane eeonamtiverOoman an
54
56
58
60
0.45
0.40
0.35
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to
-I 0.25 -
dt.
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y=.0.0073x 0.6339
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= 0.5603
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0.15 •
s
•
410• *
,•••
40 '1 •t.a.
difr
ciP•
•
•
•
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• • •
•
•Last limos data
X9/4/2015
•
•
62
36
38 40 42
44
46
48
50 52
54
56
58 60 62
Oil Prices
I
5-year inflation basis has recovered, while 30-year inflation basis has done less
well, and remains in the low end of the long term trading range. The 5-year
inflation basis traded as low as +13bp in April and has bounced to about
+25bp lately. The 30-year inflation basis currently trades about +25bp as well,
having widened from about +18bp in late May. Over the past one year, the
spread between the two basis spread has averaged around +6bp. Investors
should consider inflation basis steepeners by being long 30-year inflation basis
against 5-year inflation basis.
Deutsche Bank Securities Inc.
Page 19
EFTA01097833
4 September 2015
US Fixed Income Weekly
5-year inflation basis has recovered, ...
0.50
0.45
0A0
0.35
0.30
0.25
0.20
0.15
0.10
-5yr inflation swaps minus TIPS BEs
Jan-13
Jan-14
Jan-15
Jan-10
Jan-11 Jan-12
...while 30-year inflation basis has remained in the low
end of the long term trading range
0.7
0.6
0.5
0.4
0.3
0.2
-30yr inflation swaps minus TIPS BEs
Jan-13
Jan-14
Jan-15
Jan-10
Jan-11
Jan-12
Sawa Bbornbav and Dane* a.s
Sane. Biborthesp.intlDouracilo Bang
US CPI-U NSA y/y, actual and forecast
MoM CPI-U, actual and forecast (non-seasonally-
adjusted)
6.0
6.0
4.0
3.0
2.0
1.0
0.0
-1.0
-2.0
-3.0
Aug-04
Aug-06
Aug-06
Aug-10
Aug-12
Smear luau ollaborasevelos .,
Dwane ant
Aug-I6
0.7
CI liMoM NSA
0.6 -
Projected
0.5
0.4
0.3
0.2
0.1
o.o
-0.1
lul -
-0.2
-0.3
<4.4,
v¢', i
VY 00 4 CP:d r, 140 ,
Sane fr anc Lire SlIonsros sad Deutsche Bart
Auction Preview: 3s, 10s, and Bonds
Treasury will sell a total of $58 billion notional securities worth roughly the
same in ten-year cash equivalent through three- and ten-year notes and 30-
year bond auction next week. The auction will settle on Tuesday, September
15, against an estimated $32 billion of coupon securities on the same day. The
combined customer participation of this set of auction decreased for the third
straight month to 63% from 64.2% in July, but remained above its one-year
average of 62.2%. Direct bidders declined to a three-year record low of 7.7%
from 11.9% in July (1yr avg. 12.3%). However, indirect bidders took down
55.3% of the supply up from July's 52.2%, and beat the average 49.9% for the
seventh month in a row.
3-year note
Indirect bidder participation increased to 52.8% from July's 47.7%, above the
one-year average of 45.7% in every month since last December. However,
Page 20
Deutsche Bank Securities Inc.
EFTA01097834
4 September 2015
US Fixed Income Weekly
direct bidders dropped to 8.2% from 13.9% in July (12.3% average). The
combined customer participation of 61.0% was close to the 61.6% in July and
remained above its one-year average 58% for the sixth straight month.
Allotments share to investment funds rose to a record 45.3% from July's
38.9%, and compares with the one-year average of 35.4%. However, the
allotments share to foreign and international investors dropped to 13.5% from
July's 20.1%, and was soft as compared to the average 19.2% for the first time
since April. The bid-to-cover ratio bounced back to 3.34 from 3.16 in July,
above the average of 3.29. The auction stopped on the screws for the second
straight month.
Dealer positioning in two- to three-year Treasuries increased by $1.6 billion
from the last auction to $1billion as of August 26.
13-year note auction statistics
Size
($bn)
Primary
Dealers
Direct
Bidders
Indirect
Bidders
Cover
Ratio
Stop-out 1PM WI
Yield
Bid
BP Tail
1yr Avg
$24.8
42.0%
12.3%
45.7%
3.29
-0.2
Aug-15 $24.0
39.0%
8.2%
52.8%
3.34
1.013
1.013
0.0
Jul-15
$24.0
38.4%
13.9%
47.7%
3.16
0.932
0.933
0.0
Jun-15
$24.0
39.6%
9.7%
50.7%
3.33
1.125
1.124
0.1
May-15 $24.0
35.7%
11.6%
52.7%
3.34
1.000
1.005
-0.5
Apr-15
$24.0
39.5%
11.1%
49.4%
3.25
0.865
0.866
-0.1
Mar-15
$24.0
40.5%
8.0%
51.4%
3.33
1.104
1.110
-0.6
Feb-15
$24.0
43.9%
7.2%
48.9%
3.34
1.050
1.056
-0.6
Jan-15
$24.0
39.4%
14S%
45.8%
3.33
0.926
0.933
-0.6
Dec-14
$25.0
47.7%
10.1%
42.2%
3.24
1.066
1.066
0.0
Nov-14
$26.0
47.1%
15.2%
37.7%
3.18
0.998
0.997
0.1
Oct-14
$27.0
47.0%
17.4%
35.5%
3.42
0.994
0.997
-0.3
Sep-14
$27.0
46.6%
20.3%
33.1%
3.17
1.066
1.064
0.2
&war US revenefited Davao* Bent
10-year note
Indirect bidder participation increased to 60.1% from July's 58.1%, beating its
one-year average of 54.9% for the seventh straight month. Direct bidders took
down 5.8% of the supply, their lowest of the last three years and compares
with the average 11.1%. The combined customer participation declined to 66%
from 70.2% in July, in line with the one-year average. The allotments share to
investment funds decreased to 41.3% from 45.3% of the auction in July, but
was still above its one-year average 40.1%. However, foreign and international
investor share increased to 22.7% from July's 21.7%, a touch below the
average 23.0%. The bid-to-cover ratio fell to 2.40 from July's 2.72, the lowest
since March 2009, and well below the average of 2.65. The auction tailed by
0.8bp for the first time in the last seven months.
Dealer net shorts in seven-to eleven-year Treasuries increased by $1.8 billion
from around the last auction to $3.9 billion as of August 26.
Deutsche Bank Securities Inc.
Page 21
EFTA01097835
4 September 2015
US Fixed Income Weekly
110-year note auction statistics
Size
($bn)
Primary
Dealers
Direct
Bidders
Indirect
Bidders
Cover
Ratio
Stop-out 1PM WI
Yield
Bid
BP Tail
Tyr Avg $ 22.0
34.0%
11.1%
54.9%
265
-0.2
Aug-15 $ 24.0
34.0%
5.8%
60.1%
2.40
2.115
2.107
0.8
Jul-15
$ 21.0
29.8%
12.1%
58.1%
2.72
2.225
2.232
-0.7
Jun-15 $ 21.0
30.0%
12.1%
57.9%
2.74
2.461
2.473
-1.2
May-15 $ 24.0
18.9%
20.9%
60.2%
2.72
2.237
2.256
-1.9
Apr-15 $ 21.0
32.2%
9.3%
58.5%
2.62
1.925
t928
-0.3
Mar-15 $ 21.0
31.2%
10.2%
58.6%
2.65
2.139
2.147
-0.8
Feb-15
$ 24.0
27.8%
12.7%
59.5%
2.62
2.000
2.011
-1.1
Jan-15
$ 21.0
40.8%
9.2%
50.0%
2.61
1.930
1.917
1.3
Dec-14 $ 21.0
39.3%
6.9%
53.8%
2.97
2.214
2.217
-0.3
Nov-14 $ 24.0
42.0%
13.4%
44.7%
2.52
2.365
2.37
-0.5
Oct-14
$ 21.0
49.0%
6.6%
44.4%
2.52
2.381
2.366
1.5
Sep-14 $ 21.0
33.5%
13.5%
53.0%
2.71
2.535
2.532
0.3
sc.no! us Threw, end ovate hat
30-year bond
Direct bidder participation increased to 9.9% of the supply from 8.1% in July, but
still below the one-year average of 14.4%. Indirect bidders took down 51.9% in
August, almost unchanged from July and beat their one-year average of 49.4%
for the seventh straight month. The combined customer participation increased
to 61.8% from 59.2% in July, but remained below its one-year average of 63.8%
for the second straight month. Allotments share to investment funds declined to
48.1% from 49.1% in July, below the one-year average of 483% for the first time
in the last four months. The allotments share to foreign and intemational
investors increased to 11.4% from 7.7% of the auction in July, but remained
below the average of 12.5%.The bid-to-cover ratio of 2.26 was almost the same
as in July and compares with the average 2.36. The last auction tailed by 2.2bp,
the most in the last five refunding auctions.
Dealer net longs in more than eleven-year Treasuries increased by $1.1 billion
to $12.6 billion over the week ended on August 26
130-year bond auction statistics
Size
($bn)
Primary
Dealers
Direct
Bidders
Indirect
Bidders
Cover
Ratio
Stop-out 1PM WI
Yield
Bid
BP Tail
Tyr Avg
$14.0
36.2%
144%
49.4%
236
0.8
Aug-15
$ 16.0
38.2%
9.9%
51.9%
2.26
2.880
2.858
2.2
Jul-15
$ 13.0
40.8%
8.1%
51.1%
2.23
3.084
3.070
1.4
Jun-15
$ 13.0
33.6%
14.4%
52.0%
2.54
3.138
3.149
-1.1
May-15 $ 16.0
38.0%
11.1%
50.8%
2.20
3.044
3.023
2.1
Apr-15
$ 13.0
41.8%
7.0%
51.3%
2.18
2.597
2.567
3.0
Mar-15 $ 13.0
36.6%
11.6%
51.9%
2.18
2.681
2.662
1.9
Feb-15
$ 16.0
35.1%
15.5%
49.4%
2.26
2.560
2.555
0.5
Jan-15
$ 13.0
37.4%
13.7%
48.9%
2.32
2.430
2.411
1.9
Dec-14 $ 13.0
25.9%
24.3%
49.8%
2.76
2.848
2.872
-2.4
Nov-14
$ 16.0
42.5%
13.8%
43.8%
2.29
3.092
3.078
1.4
Oct-14
$ 13.0
32.2%
21.5%
46.2%
2.40
3.074
3.071
0.3
Sep-14
$ 13.0
32.8%
21.8%
45.5%
2.67
3.240
3.261
-2.1
Save* ut l alsuryaN AllAUMe Bank
Page 22
Deutsche Bank Securities Inc.
EFTA01097836
4 September 2015
US Fixed Income Weekly
United States
Credit
HY Strategy
IG Strategy
US Credit Strategy
Volatility This High Tends To Last
Aftershocks lasting for weeks/months usually follow spikes like this
As the dust from initial shake-up in global risk assets last week began to settle,
markets turned to soul-searching. Was that a flash crash or not? How much
did poor summer liquidity contribute? What part did new regulations play? Did
markets "overreact", or was the move supported by deteriorating macro
fundamentals? Will the Fed hike or do ClE4? Rarely did opinions appear to vary
this greatly over such a wide set of important issues.
The extent of volatility was of course incredible. From a 7x sigma move in
equities and all-time high change in vol of vol on Monday, to 700pts of total
travel distance by S&P500 during the week, to four consecutive days of 6x-
plus sigma moves in oil, recent trading sessions were nothing short of
extraordinary. One particular development that gained some attention but still
lacks proper appreciation by the market, in our view, is a failure to price
dozens of equity ETFs on last Monday opening, a development that could have
long-lasting repercussions for this $2tr1n AUM industry. As it often happens,
this surprise development exposed how far off the reality perceptions stood on
the topic of liquidity. Whereas so many pundits predicted the day when HY/IG
ETFs will fail to clear, plain-vanilla equity ETFs failed to do so, while no issues
were reported in credit space.
The VIX index has closed at above 30pts for three days in a row early last
week, and returned there this Tuesday. The significance of this level comes
from historical experience shown in two graphs on the right. Here, for the sake
of better readability, we have broken down its time series to 1997-2003 and
2007-2011, and highlighted the 30pt level with a red line (2004-2006 and 2012-
2015 are omitted as the index never reached 30pts in those years). The graphs
seem to suggest that once volatility jumps to 30pts on the VIX scale, it tends to
stay there for at least a few weeks or even months, with a total of seven
distinct periods confirming this observation.
The only exceptions that happened during the past 20 years have taken place
in early 2000 and late 2007/early 2008. So technically speaking, even periods
of quick reversal from a 30pt VIX levels have previously proven to be prescient
indicators of more volatility to come down the road. We would thus caution
our readers not to be too quick in dismissing what happened over the past two
weeks as simple "overreaction". We explore the volatility angle of this
developing story in greater detail on the following pages.
In the credit world, spreads have naturally widened during this past week,
albeit to a much lesser extent than what would have been expected given the
volatility in equities. Our DM USD HY index has widened initially from 550bp
earlier last week to 600 by Monday, and then retraced most of that range,
closing at 566. In IG, the identical range was 157 - 165 - 163. Negative fund
flows have reemerged in credit, with EPFR showing $5bn out of HY last week,
the sevenths-largest reading on record. Combined HY outflows since June
have claimed $18bn, compared to a $38bn withdrawal in 2H 2014. The
takeaway here is that HY market's ability to offset outflows was poorer in this
episode compared to 2H 2014, as evidenced by a similar degree of widening
(+130bp last 3 mo vs +150bp in 2014) on half the size of outflows.
Oleg Melentyev, CFA
Strategist
Daniel Sone
Figure 1: VIX index 1997-2003
so
4$
40
35
15
1997
995
1939
1300
—vu1916.20,9
VIX index 2006-2011
50
45
35
30
LS
2401
NW
2003
iR4
2034
Swim Numb. Ow*
AI
2002
3010
—vtl 10091011
1011
1
Deutsche Bank Securities Inc.
Page 23
EFTA01097837
4 September 2015
US Fixed Income Weekly
Following the recent moves across asset classes, our relative value models are
showing HY as being 50.75bp tight to IG, and 75-85bp tight to implied
volatility in equities, FX, and rates. Additionally, we estimate that HY bonds are
trading about 65bps wide relative to their equity valuations, as shown in Figure
2 below. In other words, equities still appear to be the most overpriced asset in
our relative valuation framework.
To arrive at our relative equity-vs-HY signal, we take all public HY issuers with
a minimum of $1bn of debt outstanding and Total Debt/Enterprise Value ratio
in the rage of 20% - 85%. The cutoff points here are used to exclude low-
levered names with little meaningful spread sensitivity to equity values, and
those deeply distressed names with D/EVs approaching 100%. Live equity
valuations are reflected in this calculation as components of enterprise value.
We then aggregate these values up to a market level and apply total debt
weights capped at 2% to each issuer D/EV metric. On the bond side, we take
5yr benchmark-sized most recently issued senior unsecured bond spread levels,
and aggregate them up using the same weighting methodology. The resulting
combination provides a clean view of relative bond-vs-equity valuations
adjusted for leverage and matched issuer-by-issuer. Each dot on the scatter
plot represents a weekly observation going back to Jan 2010. Our sample
includes only about 120 issuers, given the restrictions on bond liquidity/issuer
size described above.
At current levels, spreads in are about 65bps wide to respective debt/EV
readings, or equity valuations adjusted for leverage.
IFigure 2: US HY Issuer spreads vs Debt/Enterprise Ratio, combined for the market, total-debt weighted
700
650
600
550
S00
450
400
350
300
•
j
•
•
•....
*
aa
it •
•
a
•
at
a
•
b
• a
y • -1.1129x2 4 131.54x - 3326.5
R2 e 0.6121
250 1
43
Sane! Ammar Blot
48
53
58
63
150
100
50
0
50
100
2010
2011
2012
2013
2014
2015
.
.11Y OAS Actual ex Estimated on Debt/EV
Other measures of relative value we have recently introduced, the proportion
of distressed issuers in HY stood at 18.3% in US, versus 23.6% in EM following
market repricing. Our argument here remains that this differential should be
substantially wider (more EM names trading distressed vs US), given that EM
HY market has twice as much weight in commodity names relative to US.
Furthermore, our GDP-weighted basket of EM currencies devalued further in
recent days, losing 2% since Aug 21, and bringing the cumulative devaluation
in EM to 41% since a year ago. This factor is important in two respects: (a) it
points to potential headwinds many EM corp issuers are facing in servicing
their USD denominated debt and (2) currencies continued to devalue even
over the past week on top of extreme weakness going into it. As we have
Page 24
Deutsche Bank Securities Inc.
EFTA01097838
4 September 2015
US Fixed Income Weekly
shown in our last oat
issuers in many important EM domiciles, such as
Chile, Mexico, Brazil, Indonesia, Russia, and Turkey have more than half of
their total debt denominated in external currencies, predominantly in USD. It is
also important to keep in mind that China's corporates have the lowest
external debt burden of all major EM countries, at less than 20%. The focus
thus should not be just China, but a potential for spillovers to the rest of EM.
Finally, we have suggested that some EM IG commodity names are still trading
tight, in our opinion, given the prevailing macro environment. Following the
market repricing last week, all these names are now trading meaningfully
wider, including Pemex at 255bp (+25bp), Ecopetrol at 375 (+15), Vale at 310
(+20), Codelco at 235 (+20). While we view this move as one in the right
direction, it still falls short of where it needs to be in this environment. In all
cases, these EM names are trading roughly in line with US-domiciled issuers in
the same industries with similar leverage, something that is unsustainable
longer-term, in our opinion. We note that EM oil names have traded wider in
the past week even in the face of a net 15% rebound in oil prices.
Additionally, three largest Brazilian banks - Banco do Brasil, Bradesco, and
ITAU - are all trading in the 450-500bp spread range, while all being
technically rated as IG at this point'. We view these levels as incompatible with
being IG in the longer run, particularly for a financial institution, relying heavily
on its ability to access capital markets.
Volatility risk premia
Because the VIX has breached a level of 30 so rarely over the past decade, we
looked to expand the number of recent historical parallels to last week's equity
market shock through an alternative measure of implied vol relative to the level
of volatility actually experienced in the market over the prior year. What we
find is that such shocks tend to involve an extended period of market
choppiness that runs its course over a period measured in weeks and months,
not in days.
The implied-vs-realized vol measure is considered to be a proxy for the
volatility risk premium that rises and falls based upon investor risk version and
expectations that volatility might break out from trend levels. In the years
leading up to the financial crisis of 2008, for example, realized volatility was
substantially lower than it is today, which created a lower threshold for implied
volatilities to signal extreme levels of investor fear. Similarly, amid the
choppiness of the equity markets during the period immediately after the 2008
financial crisis, implied volatilities remained high on an absolute basis but were
actually lower than the trend at the time, suggesting an improvement of
market conditions.
Looking most recently, implied volatility on three-month, at-the-money SPX
options reached a level that was nearly double the level of realized volatility
over the past 12 months, and has since settled into a 50% premium. The table
shown here lists the ten prior episodes when the ratio of 3m ATM implied to
12m realized volatility exceeded 1.5x, as well as the number of days that
implied vols remained above the equity market performance over the episode.
(We measure equity performance beginning a week before the day when the
vol risk premium rose above 1.5x against the low print on the S&P 500 over
the episode.) One observation is that these episodes are associated with an
average decline in the S&P index of 12%, or if the 2007-8 crisis episodes are
I ITAU is a five-8 split-rated issuer.
2 See. for example, httplanww.bes.org/publiqtrpdfir_qt1409v.htm
IFigure 3: High vol premium episodes
Stan
Length
S&P
Days
Drop
to S&P Low
Jul '04
17
-3%
17
May '06
57
-5%
22
Feb '07
6
-6%
6
Jun '07
83
-8%
50
Oct '07
110
-16%
95
Oct '08
45
-35%
44
May '10
57
-15%
57
Aug '11
66
-17%
62
Oct'14
10
-5%
5
Dec '14
50
-5%
5
Aug '15
12
-11%
4
Avg
50
-12%
36
ex '07-8
38
-8%
25
SOur00. Qruatlw Bank
Deutsche Bank Securities Inc.
Page 25
EFTA01097839
4 September 2015
US Fixed Income Weekly
removed, 8%. This puts the current episode's maximum decline of 11% in
good company with historical episodes. But other aspects of the historical
record suggest that we may not out of the woods yet. For one, previous
episodes of shocks to the volatility risk premium tend to last substantially
longer than two weeks; they take an average of 50 days, or 38 days if the
crisis-era episodes are excluded. (While there are some previous examples of
"short" vol shocks in early 2007 and October 2014, these might be more
appropriately viewed as early warning indicators for more extended periods of
high volatility, and less as standalone examples.) Also, the equity markets have
tended to hit rock bottom during these episodes an average of 30 days or so
after implied volatility rises. The S&P 500 hit its low just four days after the vol
shock, which seems out of line with historical pattems.
Figure 4: Equity implied volatility relative to realized vol
2.25
2.00
1.75
150
1.25
1.00
2004 2005 2006 2007 2009 2009 2010 2011 2012 2011 2014 2015
—3m Implied/12m Realised Vol Ratio, SPX
Sane! Deuncia&tn.
IFigure 5: S&P level during elevated volatility episodes
2,300
2,100
1,900
1,700
1,500
1,300
1,100
900
700
2004 2005 2006 2007 2009 2009 2010 2011 2012 2013 2014 2015
—SPX
—Implied/Reelired > 1.Sx
The shock to the VIX index can be attributed to three inter-related measures of
equity volatility: the general level of at-the-money volatility relative to the trend
of realized volatility, the premium for options expiring in the near-term (1m)
relative to somewhat longer-expiry (3m) options, as well as the premium for
out-of-the-money strikes over at-the-money strikes. An additional way to
measure the magnitude of last week's equity market shock is to consider the
elevated level of volatility risk premium, measured here as the degree to which
option-implied volatility exceeds realized volatility. Finally, it's worth observing
that credit markets are also participating in these developments. The implied-
to-realized ratio on the CDX indices is also elevated, sitting in the 90thh
percentile over the last 3.5 years for lm options on IG CDX, while the equity
risk premium is in the 99th percentile over the same period.
Conclusions
Overall, we find market moves over the past week were in line with our
expectations, directionally, although their speed, volatility, and reversals were
certainly as much a surprise to us as they were to most other investors. We
thought equities and other risk asset classes were much closer to what we
perceive to be fair value at their bottom last Tuesday than they were following
a retracement. Developments in China could have significant repercussions for
broader EM universe, and we don't find EM credit spreads to be properly
reflecting those consequences. We see main risks associated with EM credit
assets being forced to re-price more substantially and having second-order
effects on US credit markets. Additionally, historical evidence suggests that
periods of extreme volatility similar to those witnessed over the past few
sessions tend to exhibit propensity for aftershocks, usually lasting for weeks if
not months.
IFigure 6: Seasonality trends in HY/IG
Average HY OAS monthly change
20
15
to
5
0 -
.5 -
.30 -
.a -
20
0
Mn fa Mar hat Wig Ns hl tug 500 Oct Nov Oec
el* keno, OW
olPerszb
A
70
10
50
tl
30
20
rage 1G OAS monthly change
00
•
•
70
60
50
• T
20
1
20
CO
0
Ma lob Ms e
kW Am M
A.5 Sop 03 Nov On
•I60,NO3f{04
• • c to. ,tootnifrothe
SocroavOeunone Bent
Page 26
Deutsche Bank Securities Inc.
EFTA01097840
4 September 2015
US Fixed Income Weekly
In terms of relative value we find IG to be priced most attractively here,
although this is unlikely to prevent it from widening in absolute terms, if broad
market volatility persists. A +120bp repricing in HY over the past three months
has moved valuations closer to reality, in our opinion, although it continues to
trade 50.75bp tight to IG, and 75-85bp tight to implied volatility in equities, FX,
and rates. At the same time HY is trading 65bp wide to a basket of issuer-
matched equities adjusted for leverage (via debt/EV ratios), and this still
suggests to us further vulnerability in broader equity space. Finally, September
is the last month of the May-Sept seasonally-weak stretch in credit (Figure 3).
Our targets in US credit thus remain 650bp all-in HY and 575bp ex-energy
(+85bp and +70bp from here respectively), and 170bp in IG (+6bp).
The Fed
Last week's volatility naturally triggered a discussion whether the Fed is going to
be able to proceed with its intentions to raise rates in the near future. Earlier voices
and opinions on this matter seemed to side on with the view that it is unlikely to be
able to do so, and interest rate derivatives have shown a substantially lower
probability of the move in September. And yet Fed speakers who had a chance to
react to recent events publicly recently have mostly sided with the narrative that
while additional level of uncertainty has been introduced by recent volatility, the
initial move in September, and even October, are still very much on the table. As a
result, the forwards were still pricing in three full, and potentially four rate hikes
before Dec 2016, and the 2yr Treasury yield was at 72bp, or 3bp away from its
2015 highs, at the time of this writing.
This reaction is not surprising to us, as we have expressed our opinion that the bar
is set very high for the Fed to pull the plug on its intentions to raise rates later this
year. We continue to believe that it would take a lot more than S&P500 at 5%
below its average level in 2015, where it stands today, for the Fed to seriously
consider changing its plans. We would have to see more volatility and more
negative (and sustained) reaction in US markets before the Fed is forced to step
back. And while this view almost creates a breeding ground for more volatility, it
also sets the stage for its eventual undoing as the risk of Fed weighing in against
the market weakness will remain ever more present in coming weeks and months.
The full list of our existing and past trade recommendations is available under
» Legal » US Credit Strategy.
Deutsche Bank Securities Inc.
Page 27
EFTA01097841
4 September 2015
US Fixed Income Weekly
Chart Pack
IDB Treasury Yield Forecasts
2Y
5Y
10Y
30Y
2015 03
0.75
1.60
2.25
2.95
2015 04
1.15
1.90
2.45
3.10
2016 01
1.20
2.00
2.75
3.15
2016 02
1.20
2.25
3.00
3.25
Source. Llognets sent
Ikact &sans ,Mrs avaca6Arti I or atimariviod.
I2-5-10 butterfly, 50/50 weight, long bullet
40
—
Butterfly 2-5.10
[ 2-3-5 butterfly, 50/50 weight, long bullet
20
0
-20
-40
-60
-80
-100
—ButterfIy23.5
NAmtievA
03 04 05 06 07 08 09 10 11 12 13 14 15
Same: Davao* Oink
12-10-30 butterfly, 50/50 weight, long bullet
120
-Butterfly 2-10-30
30
100
20
10
0
-10
-20
-30
.40
03 04 05 06
07 08 09
10 11 12
13
14 15
&vim 0 *Ma* an
5-10-30 butterfly, 50/50 weight, long bullet
55
45
35
25
15
5
-5
15
—
Butterfly 5.1030
09 10 11 12 13 14
02 03 04 05 06 07 08
Savor: 0 tkitla0 SW*
80
60
40
20
0
20
03 04 05 06
07 08 03
10 11
12
13 14
15
Sauter Davao* ftw*
15-7-10 butterfly, 50/50 weight, tong bullet
10
—Butterfly5.7-10
8
6
4
2
0
-2
12
Sep-12
Mar-13
Sep-13
Mar-14
Sep-14
Mar-15
Sep-15
Page 28
Deutsche Bank Securities Inc.
EFTA01097842
4 September 2015
US Fixed Income Weekly
2-5-10 butterfly (PCA 65.88% and 34.12% risk on the
wings)
60
—Butterfly2-5-10
54
48
42
36
30
24
18
Mar-14
Sep-14
Mar-15
Sep-13
SavectOeuedreft•nt
Sep-15
2-10-30 butterfly (PCA 26.14% and 73.86% risk on the
wings)
6
2 -
-2
-6 -
-10 -
-14 -
-18 -
-22 -
-26
—Butterfly2-10,30
Sep-13
Mar-14
Sep-14
Mar-15
Sep-15
5-10-30 butterfly (PCA 34.92% and 65.08% risk on the
wings)
-15
-20
25 -
-30
—
Butterfly5-10-30
tk
•
Sep-13
Mar-14
Sep-14
Mat-15
Se[:- I 5
Seirce Oriorikiasie
Deutsche Bank Securities Inc.
Page 29
EFTA01097843
4 September 2015
US Fixed Income Weekly
I30Y Treasury yield seasonals (Change since Jan-1)
70
—2005-2014 —1997-2014 —2015
50
30
10
-10
I10Y Treasury yield seasonals (Change since Jan-1)
42
.
.2005-2014 —1997-2014 —2015
32
22
12
2
-8
-18
-28
-38
-50
-48
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
I5Y Treasury yield seasonals (Change since Jan-1)
25
15
5
-5
-15
-25
-35
-45
.
2005-2014 —1997-2014 —2015
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Same: °area* ant
I2Y/5Y slope seasonals (Change since Jan-1)
15
10
5
0
-5
-10
-15
-20
25
2005-2014
1997 2010
2015
Aug Sep Oct Nov Dec
Jan Feb Mar Apr May Jun Jul
Jul Aug Sep Oct Nov Dec
J n Feb Mar Apr May Jun
2Y Treasury yield seasonals (Change since Jan-1)
25
-2005-2014 -19972014 -2015
15
-15
-25
-35
J n Feb Mar Apt May Jun Jul Aug Sep Oct Nov Dec
Sweet Davao* ant
I2Y/10Y slope seasonals (Change since Jan-1)
40
—2005-2014 —1997-2014 —2015
30
20
10
0
-10
-20
-30
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Sante. Claututs Borg
Page 30
Deutsche Bank Securities Inc.
EFTA01097844
4 September 2015
US Fixed Income Weekly
I2Y/30Y slope seasonals (Change since Jan-1)
62
52
42
32
22
12
2
-8
-18
28
J n Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2005-2014 .
1997-2014
2015
I5Y/30Y slope seasonals (Change since Jan-1)
50
—
20^5 2011
19972014 —2015
40
30
20
10
0
10
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Soon». Do~o ibnk
130Y swap spread seasonals (Change since Jan-1)
.i
.2C05-2014 —1997 2014
2015
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Sweet. Do~oBánk
15Y/10Y slope seasonals (Change since Jan-1)
27
22
17
12
7
2
-8
,
2005-2011 —1997-2014 .
2015
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
I10Y/30Y slope seasonals (Change since Jan-1)
2W 2014 —19972014 .
.2015
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Source. D~cellánk
I10Y swap spread seasonals (Change since Jan-1)
7
,
.2005-2014 -
1997 2014
2015
5
3
1
-1
-3
-5
-7
-9
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Sane: ~so» (Oak
Deutsche Bank Securities Inc.
Page 31
EFTA01097845
4 September 2015
US Fixed Income Weekly
I5Y swap spread seasonals (Change since Jan-1)
8
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Semen: 0~ Hat
12Y swap spread seasonals (Change since Jan-1)
2005-2014 -1997 2014 •
.2015
2005-2014
1997-2014
2015
IS&P Index seasonals (Change since Dec-31)
8%
2005-2014
.--.1997 2011
2015
-8%
-10%
J n Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Boonvr Demo» Bank
I5Y10Y Implied vol seasonals (Change since Dec-31)
7
5
3
1
-1
-3
-5
-7
.2005-2014 .
.1997-2014
.2015
Jul Aug Sep Oct Nov Dec
Jan Feb Mar Apr May Jun
Swore: &vase» St*
0
-2
-4
-6
-a
-10
-12
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
&sum,: ~ea, e Bank
I3M10Y Implied vol seasonals (Change since Dec-31)
.
2095-2014 -1997-2014 -2015
25
20
15
10
5
0
-6
-10
-15
-20
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Swear ~be Bart
Page 32
Deutsche Bank Securities Inc.
EFTA01097846
4 September 2015
US Fixed Income Weekly
I30Y Treasury roll business days from auction
1.7
1.3
0.9
0.5
0.1
-0.3
-0.7
-1.1
-1.5
-1.9
-2.3
-
2 875%08/45
-
2.500%02/45 -
3.000% 11/44
3.000% 05/45
0
20
40
60
80
Bus mess days tram the Melia. date
100
1 OY Treasury roll business days from auction
2.5
2.0
1.5
1.0
0.5
0.0
-0.5
-1.0
-1.5
2.0
120
0
20
40
60
80
100
120
Business days from the auction Ste
—
2.000%08/25
-
2.000%02/25
-2.250%11/24
-
2.125% 05)25
IT( Treasury roll business days from auction
-
875% 08/22
-
2 000%07/22
2.0
1.5
1.0
0.5
0.0
-0.5
1.0
0
10
20
30
40
Business days tram the b/Cticto date
50
Soomnberroono Sank
—
2.125% 06/22
—1.875%05/22
60
1311 Treasury roll business days from auction
-
1.000%06118
4.5
-1.125%06118
4.1
3.7
3.3
2.9
2.5
2.1
1.7
1.3
0.9
0.5
-
0.875% 07/18
-
1.000% 05/18
I5Y Treasury roll business days from auction
3.5
3.0
2.5 •
2.0
1.5
1.0
0.5
0.0 -
-1.0
-
1.375% 08/20
-
1.625%06/20
-
1.50D% 05/20
-
1.625%07)20
50
O
10
20
30
40
Bus mess days from the action date
Swear Ocersafe Ant
60
I211 Treasury roll business days from auction
—
0.625% 08/17
-0
.820% 07/17
-
0.625% 06/17
-0.625% 05/17
4.7
4.2
3.7
3.2 •
2.7
2.2 •
1.7
1.2 •
0.7
0.2
0
10
20
30
40
50
60
-0.3
Business days from the auction date
Sant: *Qty.*. ZiteM
SMAT070.0301.9Pnt
O
10
20
30
40
Business days from the auction date
50
60
Deutsche Bank Securities Inc.
Page 33
EFTA01097847
4 September 2015
US Fixed Income Weekly
Top 15 USD Flatteners
fl .:-.k
T,] ,
1, Co. ry Iry Vo' Rot o
I
lirairilrEMEMEEMM:MISEIIIIEENEXICEI
Percentile lAin 25th Median 75th Max
I
EME/MEMMIENEMOISEMEREIME111321
F
MENCEEIMMUMEEILEICEMEEICI
11M Y3Y
d.7
29.2
-0.2
EiriMINEMEMENCEIMMEEICIKIMMEEI
15
-1.3
0.1
0.5
0.9
4.0
Z022MMEEME3MMISEICEIEENEEICEI
IIMICINTEMETIrMEEMIEENCEIFII
MZEN CI MiEM ElEI IM CM I:3 El
<`1'..faIMIEMMUMEXIOCIEBEIllallin
- EMI MEM
CUM CM ra
MI ilM
ETU ISEINTI mm
EMUIMEMMIEEMIZZIIMDMEEIIEEICEIIIEEIIEI
1 ElliZi CM Win MIME= MEI CI CM [EMI
MITENTIMETIrMEEIIITIETNITIFII
3M3Y5V
-6.1
18.4
-0.4
29
-13
-0.5
0.0
DA
01
' LthaMEEMMEENCEIMMEICIEMIKIIEMEI
&war Desire Ow*
ITop 15 EUR Flatteners
r
urrir
irL
i..1721122Erinr=
0.3
07
3.7
I
3/.12Y3Y
66
94
0.7
73
-2.0
03
2
6M2Y3Y
80
9.3
0.6
72
•1.7
6.3
0.2
0.7
2.4
3
1Y 2Y3Y
5.2
9.5
0.5
74
-12 -02
0.2
DA
1.6
4
36121T1
13.3
29.0
0.5
89
-1.8
-0.4
0.1
DA
3.0
5
6tA2YSY
12.2
26.0
0.5
70
-1.5
-0.3
0.1
DS
1.8
6
1Y 2Y5Y
10.3
24.4
0.4
75
-1.1
-0.3
0.1
DA
1.3
7
61.13Y5Y
82
16.9
0.4
72
-12
-0.3
0.1
DA
1.2
8
3612Y7Y
15.5
44.3
0.3
87
-1.8
-0.4
0.1
0.5
29
9
6M 2Y7Y
14,0
40.5
0.3
70
-1.4
-0.3
0.1
DA
1.8
10
3M3Y5Y
86
19.3
0.3
89
-1.3
-0.3
0.1
DA
1.4
11
1Y 3Y5Y
5.1
15.5
0.3
78
-1.0
-0.3
0.1
0.3
1.0
12
1Y 2Y7Y
11.3
37/
0.3
76
-1.0
-0.3
0.1
0.3
1.1
13
6M 3Y7Y
7.9
31.6
0.3
78
-1.1
-0.4
0.0
02
1.0
14
3M 3Y7Y
88
386
02
70
-1.4
-0.4
0.0
0.3
1.4
15
1Y 3Y7Y
II
29.5
02
93
-0.9
-0.3
0.0
02 08
&tom thmacts Sant
ITop 15 JPY Flatteners
Rank
1
Trade
1Y 2Y3Y
1y Carry
3.8
Imp. Vol
4.3
Ratio
0.9
Pe rcent- TillnP2919
99
.1A
0.1
0.5
7511171111W
06
1.0
2
6M 2Y3Y
4.5
5.6
OA
88
-13
0.2
0.5
0.7
1.7
3
1Y 255Y
7.9
11.4
03
83
-16
0.1
0.5
DA
1.2
4
3M 2Y3Y
5.4
82
03
72
-1.4
0.1
0.4
0.7
21
5
6M 2Y5Y
9.0
15.2
0.8
63
-1.8
0.1
0.5
0.7
1.8
13
1Y 1Y5Y
10.9
19.8
06
54
-1.8
0.3
0.5
0.7
1.4
7
3/A 21Te
10.0
18.3
0.5
43
-1.5
0.1
0.5
0.7
24
8
61.11Y5Y
12.1
23.2
0.5
50
-2.0
0.3
0.5
0.7
1.9
9
IV 1V3V
BS
13.4
0.5
57
-1.8
0.2
0.5
0.7
1.9
10
61.11Y3Y
7.5
14.9
0.5
53
-1.9
0.2
0.5
0.7
29
If
1Y 217Y
9.7
20.0
0.5
58
-16
0.1
0.4
DA
1.1
12
1Y 3Y5Y
4.0
8.4
0.5
55
-1.4
0.0
0.4
DA
1.2
13
31.42Y7Y
122
25.8
0.5
55
-1.8
0.1
0.4
DA
20
14
GM2Y7Y
11.1
23.2
0.5
54
-15
0.1
0.4
DA
1.6
15
111 MY
12.7
27.2
0.5
413
.1.8
0.3
0.5
DA
1.2
Top 15 USD Steepeners
Rank
Trade
1, Caoy i to Vol Rat J Percentile Min 25th Median 75th Max
ECNIMMEMEEMariffillirl
KM=
MENEEEMEEMOCEIEBEEMIIIEZI
MEIIIMMEMMEMEINOMEEIEBEIMECIIII
4
3M5Y2ON*
30.9
375
OA
70
-1.0
0.2
0.5
CO
2.0
SIELITEMMEEMNIEMEINOISEICIEIMECI III
KM EMIMIKINEEMMEINOISEIEMEEMECIM
0
3M re2ov WM rIE
05
69
EMTWENITIITI
El ELIMMIEMEMEEMEIMOISEICEICEMIIIEEI
Ea EZ=MIEMESMEINOMEEICEICENIMIE3
El rrarIMETIWIrrinwrimrn
marEMIKEMIliiamcnnEEIKENIIIIIII
EFIEEEMIEMENIENEINflISEILKIEENIIIIM
ERIEZETIMINIrrEEITO rarrICIFIETZ
Inn
14
3M 5Y2ST
322
41.1
05
68
-13
0.2
0.5
0.9
2.0
KEIEEMMEEMIEMEINOISEICEICIENECIE3
Sarre* OetraOrreitterk
Top 15 EUR Steepeners
Trade
3M ISY25Y
1 y Canyalmp-1/6
67
93
Ratio
0.7
Percentile Min 25th Median 75th Max
1
78
-0.1
0.3
0.5
0.7
1.6
2
I Y 15Y2DY
4.4
62
0.7
90
0.0
0.3
0.5
0.6
0.9
3
3M IST2ON
4.3
6.1
0.7
83
-0.1
0.3
0.5
0.7
1.4
4
3M ISY3ON
7.7
11.0
0.7
81
-0.1
0.2
0.4
0.6
1.4
5
1 Y 15N2ST
88
9.9
0.7
91
0.0
0.3
0.5
0.6 08
6
1 Y 10N2ST
136
20.1
0.7
72
-0.1
0.3
0.5
0.7
1.0
7
3M2DY25N
2.4
3.5
0.7
85
-0.1
0.2
0.4
06
1.3
8
1 Y 10N2DY
11.3
16.9
0.7
69
-0.1
0.3
0.5
0.7
1.1
9
1 Y 10Y3OT
14.5
218
0.7
77
-0.1
0.3
0.5
0.7 09
10 6M 10T3ON
143
216
0.7
77
-0.1
0.3
0.5
06
1.1
11 6M10Y2SY
133
202
0.7
71
0.0
0.3
0.5
0.7
1.2
12 6M 15Y20`1
4.3
6.6
0.7
93
0.0
0.3
0.5
0.6
1.1
13 6M 10Y2ON
10.9
18.7
0.7
69
0.0
0.3
0.5
0.7
1.2
14 6M 15Y251l
87
10.3
0.6
78
0.0
0.3
0.5
0.6
1.1
IS 3M IDY30`1
14.1
21.9
0.6
68
-0.1
0.3
0.5
0.7
1.4
Sago, Oman* ant
ITop 15 JPY Steepeners
Runk
Trade
1 y Carry lap. Vol
' alio Pits
Nn Mil
1 6/6 IST201
21
6.6
0.3
16
.1.3
0.4
0.7
0.9 IS
2
I Y 15Y2DY
24
8.6
0.3
6
-0.3
0.5
0.7
DS
1.6
3
35115Y2ON
1.8
72
0.3
14
-35
0.4
0.8
DS
24
4
6/A 10Y2Ti
1.7
132
0.1
9
-0.8
0.3
0.8
0.8
1.9
5
I le 10Y2DY
22
18.5
0.1
5
-0.3
0.3
0.8
0.8
1.5
6 3/A 10Y2ON
12
122
0.1
10
-12
0.3
0.5
0.8
2.7
7
6M 15Y30,1
52
108.9
0.0
1
-0.5
0.1
0.3
0.7
1.7
8
1 Y 15Y3OT
5.8
125.1
0.0
1
-0.3
0.1
0.2
0.8
1.2
9 6M IDY30`i
4.9
109.4
0.0
4
-0.6
0.1
0.3
0.7
1.7
10
1Y 7Y2DY
1.1
24.3
0.0
7
-0.3
0.2
0.4
0.6
1.1
II IY 10Y3OT
5.4
133.7
0.0
4
-0.4
0.1
0.3
0.8
1.2
12 3M 15Yri
5.0
128.6
0.0
2
-1.3
0.1
0.2
06
2.4
13 3M IDY3ON
4.4
130.9
0.0
4
-0.9
0.1
0.3
06 24
14 6M20Y30Y
3.2
102.2
0.0
2
-0.5
0.1
0.1
DA
1.4
16
1Y MOY
4.3
137.3
0.0
6
-02
0.1
0.3
06
1.2
Save or Deutsche SW
Carry is calculated for neat 3 months and shown in annualized form.
Volatility is calculated as Im realized for CAD and swatted from swaptions prices for other currencies.
Percentile statistics are calculated from a W year history.
Page 34
Deutsche Bank Securities Inc.
EFTA01097848
4 September 2015
US Fixed Income Weekly
I Top 15 CAD Flatteners
ea Ltrade
I y Carry.
Errs
Alzd Vol
Elm
Ratio
min
Percentile
n
Alm
en
25Th
En
Median
rm
In-th
ni
Max
MI
IMEMM
2
3M 2Y3Y CM.
CM Mr
III
Eli
EH M
EnliTEMI
CM
WIN
KM =I=
En MEI Er]
Ea
=KUM
Ella
WM
KM MI=
En lin Mr
EU
5
6M rev Ell•WIENTE
59
runnun
MnISTIZIEZEMEEN
Clan
EMI NM In®
CI
CM
EMU WEI MEM
EX. CM Min in
EU
rim
raurrEnn
ma FM WIWI
CFI
9
1Y 3Y5Y MENEM
0.5
97
in
Cirri
M
MEE=
Min
MEEM:311 M:I=
IEEI CM NM in
En
MINIMUM CM
BIM
WM =::::=
lEti Crain
En
12 wren 1
nom
marl
Inn
In III
KEICI
ELM t2iN
WES an
MEM
in
En
in
InIallil MEM REIM
MI=
En CM CM In
El
MCA
ElmoryaNM
=7=En
En MINIM
En
Sa.v.. Ow.aseno Rank
ITop 15 AUD Flatteners
Rank
Trade
3M 3Y5Y
I y Carry
41.9
Inc. Vol
48.7
Ratio
09
Peron*
Min
4.4
25th
-0.6
Median
0.0
75th
0.6
Max
18
I
69
2
3M 2Y5Y
668
84.1
0.8
90
-1.2
-0.2
0.3
0.8
1A
3
3M 1Y5Y
938
1318
0.7
78
-1.3
-0.1
0.5
0.7
1.4
4
6M 2Y3Y
284
37.8
0.7
77
-IA
0.3
0.5
0.7
1.5
5
3M 1Y7Y
90.7
147.3
0.8
77
-12
-0.1
OA
0.8
1.3
6
3M 2Y7Y
837
109.0
0.8
92
-09
-0.2
02
OA
1.0
7
3M 2Y3Y
242
44A
0.8
78
-OS
02
OA
OA
1.3
8
6M 21T(
43A
79.7
0.5
92
-IA
-0.1
0.3
OA
0.9
9
1Y 1Y3Y
37.3
71.3
0.5
62
-09
0.1
0.3
06 1.0
10
6M IVEY
813
122.3
0.5
78
-1.1
-0.1
0.4
0.6
1.0
II
3M 1Y3Y
519
101.4
0.5
82
-IA
0.1
0.4
OA
1.5
12
1 Y 2Y3Y
21.7
42.7
0.5
81
-0.9
02
0.4
OA
1.1
13
3M 3Y7Y
388
78.9
03
93
-0.8
-0.4
0.0
0.3
1.0
14
66I 1Y3Y
483
928
0.5
73
-IA
0.1
OA
0.6 12
IS I 3M1Y10Y
836
170.9
0.5
74
-1.1
-0.1
0.3
0.6
1.1
Sane Deutsche Sank
Top 15 GBP Flatteners
Rank
Trade
EMI
ly Carry
MEM
Imp Vol
MIZE
Ratio
MIMI
Percentile Mtn 25th Median 75th Max
NZ
IM7i=
Ell En CHM
In
MEMIEMEMEN
MEM MB MEM
En En KEN In
ES!
©®m
CM
MB ila
En En EINEM
CI
4
66I 1Y3Y
02
27.3
0.0
28
-1.1
0.0
0.3
06 3A
MIEITIZI
WEN MEM KEN M:=
En lal Kinn
in
MCIMIEM
ELM KM Ma
En en MB In
EU
fl
u
®m
EIMWM
®Ern
MTN
in
a
iyIY3Y WEE rEMICEMOZEI
IMEIM7110
ES
MEM Ca
Mai =1::=
CI
in
WEI in
ECIEZIMINEEM EMU MEM MEM
En MEI MB In
EU
11
3M 1Y7Y En
En
rra
n
ER era
Enin
in
COMER
tin
MEM MEMEEI
IIIMEEIIII
En
EEC
MEM MEM KEN Oen
IIIWEE1123 In
On.
-
9r
.
MITE n!EN MEM
En En rim rn In
NM 1Y 2Y3Y ®MEN
EEO MMM
CI
III
CM nal
Swan °Noche Sant
Top 15 CAD Steepeners
L Tiede
3M 1Y2Y
1y Carry.
23.1
RDA Vol
10.0
Ratio I
22
Percentile
91
Min
-12.8
25th
-1.5
Median
-0.5
7600148
0.5 18.5
I
2
31.410Y2ON
12.8
12.8
1.0
81
-21
0.3
0.8
0.9
2.3
3
051.110Y2ON
127
13.1
1.0
80
-10
0.3
0.8
0.9
1.7
4
)IA 10Y251r
15.1
15.9
1.0
84
-1/
0.3
0.8
OA
2.1
5
3/410Y151l
7.6
82
0.9
88
-17
02
03
0.8
3.1
6
inIA 10Y25N
15.0
182
09
84
-0.8
0.3
0.8
0.8
1.5
7
l YlOY20Y
13.5
15.1
0.9
80
-DS
0.3
0.8
0.8
1.5
8
8/A 10Y15N
7.7
86
09
ea
-1.9
0.3
03
02 18
9
6M 7•420If
10.7
187
09
93
-0.5
02
0.5
0.8
1.8
10 IY ICY'S?
8.4
9.7
09
90
-IA
0.3
0.5
0.7
1.3
11
IY7V20•0
IBA
19.0
09
81
-D2
02
0.5
0.8
1.7
12 BM TY25V
lel
20.1
08
79
-DA
02
03
0.8
1.5
13 6M10Y3ON
165
210
08
BB
-D.7
0.3
0.5
0.7 12
14 3M10Y3ON
166
211
08
es
-1.3
0.3
0.5
0.7 23
15 IY10Y2SY
15.8
19.3
08
81
-0.4
0.3
0.6
0.8 12
Scioto. Dounone Mr*
!Top 15 AUD Steepeners
Rank
'Isaac
le Cane
IMMO
I'm, Vol
ra
Rat o
NM
Percent
MT=
Min
En
251h
ECI
Median
MB
75th
En
Max
En
ER
NNE=
ME
rro n
am
En In
EMMEN
3
6M7Y10Y
56
28.0
02
75
0.2 In
0.1
0.2
0.7
MEMO]
KM
KIM
NM WI=
En In
E:EM M
En
KZ EZThrli MI= ra
ff:EMM:M
En In
KIM ED In
rIll CI=
WM
WI=
NM MZ=
Ilninrilll
In
MI MIMI
Ma
CCM WM WE=
En In
KIM ED In
KZ
WEEMEMEIMMEM
En1:31•31
ED in
EP
MEE:MEMO
CHM
MB
M
111
10
IY3YIDY
8.4
104.2
0.1
11
0.1 In
02
0.3
OA
En EZIEUI MEM t:37
NM =::=
lin
MEMO
In
m®
®o
NM =:=
En Inn
In in
so 111=171 ESTE Errs
ento sxm rim
mien
in
lairillrEN
NEENEM
MMI
En In
KEN M
In
KI3 taua
MEM Ma
EMI =:=
EMEIM311:3Mn
Sateartesebe Sank
I Top 15 GBP Steepeners
Rank
Tt.iJc
[Mal
le Carry
WEN
Inc.Vol
ilia
Ratio
EINIIMME21
Percentile Min 25th Median 75th Max
Ma
In
NM In En
NC
MEM MEE MIR =:::=
CI
CB WES in 111
©i
MEE Ellif
CM =3=
CM MEM
En 111
4
8M5Y25Y
218
28.4
09
81
-OA
0.1
OA
0.8
3.3
©cm= ELM CM
KIM MIS
EH EEO MIN EU III
NOZINCEEINflIESIEEININEEIEn
MI=
WM
re
MTM
En In
WM In En
8
BM/ TAY MIME MIME:ENO
IM OM NM in
®
KM EMEMI EOM KM
Ell
=I=
Mtn
KEN EU in
EMI=
CM
Ca
KM=
In
En MIN EU En
II
8M3Y20Y trronnammtnnEnra
m
.1
. ..wrlz Win
MUM
MIS
Minn
Elf in Ell
KENED=IMEN
MEM WEN MS
11:13 III
Eli in EU
in
Ur=
EWE
MTN =Tr
In
MIZE ITI In
15
8M 7Y33Y MEM CR
KEN MI=
En In
EMI M
in
Carty is calculated for next 3 months and shown in annualized form.
VothoTay is calculated as lm realized for CAD and extracted from swaptions prices for other currencies.
Percentile statistics are calculated from a Ulmer history.
Deutsche Bank Securities Inc.
Page 35
EFTA01097849
4 September 2015
US Fixed Income Weekly
Top 15 CHF Flatteners
Rank
Trade ly Carry Imp. Vol Ratio
MEMUTE
Percent
M7M
Min
UM
25th
CFI
Median
KM
75th
ITV
Max
III
MISEEMIIEM
ta 31.12Y5Y
98
19.3
03
63
EU CE1 Er
EU
El la ran onto
EEMMI:MICEI CI KEN al NEI
EP FIGEZI Mina MEM MEMO lal O3 MIN EU MI
NM 3M2Y7Y EMMEN:EN
Se Enrannini
EICIN3M13M EZEMM ELI CI EINEM]]
Ma FIGEZIMENKEN KENO ISO 1:31 MIN 111 EEI
WE CI
ETWE CM =7= En !TIMM Min
o
3M2Y3Y MINEINEEMMZSEEICIIMMEE1 Ell
KC. Enmi ra
n
KENO CI CI NIM EU KO
KM MEM MIS Ca WEN M2EM CI CI MIN EU EEI
WI IV 2V3Y EMMEN ETEMTM Ell Ell Ern Itirl
KEN IIIIMI MMEIIEN KENO lal CB CM 111 ESI
El MEM MIS MTh KENO CM CI CM al EU
NM El= WIMENIN NTEMTMETI Ell MTN Illfri
Soutoe. Otacho Sank
I
ITop 15 SEK Flatteners
3M6Y7Y
-0.5 01 8.0
122.4
18.4
8.6
1 .1 .5
2
1Y 7YIDY
37.1
10.4
3.6
99
.4.6 .1.6
.0.9 -02 4.0
3
1Y 5YIDY
75.1
28.6
2.6
99
-AI -1.6
4.6
0.2 2.9
4
1Y 1 YIDY
417.9
172.6
2.4
56
-4.5 -1.2
18
3.6 7.0
5
3M5Y10Y 2768
133.6
2.1
103
-3.3 -1.8
-0.6 -02 22
6
I Y I WY
380.8
181.5
2.1
50
-42 -1.0
2.1
3.9 68
7
1 Y 517Y
380
19.3
2.0
99
-3.3 -1.2
-0.3 05 22
6
1Y 3YIDY
169.5
92.4
18
97
4.7 -IA
0.1
1.1 22
9
1Y1Y5Y
3428
199.0
1.7
41
-4.3 -0.8
2.4
42 7.6
ID I Y 3Y7Y
132A
63.0
18
42
-4.3 -1.1
OA
1.4 2.5
II 1Y3Y5Y
94.4
64.6
1.5
68
-4.0 -08
OA
1.7 32
12
6615Y7Y
08.2
34.1
1.4
99
-27 -I.5 -0.5
0.2 IS
13 3/A 7Y10Y 154.5
112.4
1.4
96
-38 -IA -1.1 4.5 3.4
14 6M5Y10Y 111.3
104.6
1.1
96
-3.3 -1.7
-0.9 42 2.5
15 3M3Y10Y 3728
379.3
1.0
95
-3.0 -1.7
-0.4
OA
1.5
Spume. Oemmote Os*
Spread of Swap Spreads Trades
Trade
Current
Carry
Current
Level Percentile
Min
25th Median 75th
2Y3Y
1.03
-1.6
59
-4.9
-25
-1.8
-1.0
2Y5Y
-0.14
-4.4
70
-13.4
-9.2
5.6
-3.6
2Y7Y
-0.51
-11.0
52
-22.1
-16.0
-11.4
-5.5
2Y10Y
-0.23
-8.2
47
-22.1
-12.7
-7.5
-2.8
2Y30Y
-0.60
-37.3
25
-53.9
-37.0
-22.1
-14.8
3Y5Y
-1.17
-2.8
69
-11.2
-6.8
-4.6
-2.2
3Y7Y
-1.54
-9.4
49
-19.8
-13.3
-9.2
-4.2
3Y10Y
-1.26
-6.6
44
-19.9
-10.3
-5.6
-1.6
3Y30Y
-1.63
-35.7
23
50.8
-33.6
-20.3
-13.8
5Y7Y
-0.37
-6.6
25
-10.1
-6.6
-4.2
-1.8
5Y10Y
-0.09
-3.8
24
-10.2
-3.7
-1.6
0.6
5Y30Y
-0.47
-32.9
11
-42.3
-27.2
-16.3
-11.2
7Y10Y
0.28
28
52
-3.1
1.1
2.7
3.9
7Y30Y
-0.09
-26.3
10
-33.0
-19.9
-12.4
-9.2
10Y30Y
-0.37
-29.1
10
-35.1
-23.4
-14.8
-12.7
Same: °made ae
Top 15 CHF Steepeners
FIrrw
Tract, ly Carry Frp Vol Raho Percent
Min 25th Median 75th Max
ILI
LE_II=WENETEMIUMIrrirliTNITI
I _ I IZEZTIMEMZEMMMIEEICEIEENCI MEI
MENITIIIiMEMMISCIEEMENECIM
ElEarlirM
CM fl
EIMICREIE1 M
=imam
M!!!M
CEICEI Ninon
__Ei7III5MIEMEIRMESEXIMMINEIEIM
COMM
MIMMI= ECI CB CM al m
Errnirrwro n
en Ell MTN IT1 ITI
IIIMITIME
1_ EIMMINEEMEIN
Ma MINMEM
a
Ma EICIIII
CC
MIMEO
EINIZEI CU
M
__ E=MEEMEMEMINMIMIICIIEEMEMEEI
MEM MEM WM NW=
MEM ETNITI Oil
MI
_ =lira
= ESIIIIMMME2MIN
monzra
KIM
ria
riMMIMIEIEEIMMEEI
no MIMEIMEEIMINEEI
ra
ern rn Rim m
Oil
Oil
un
Soave*. Dourstho Sank
I
!Top 15 SEK Steepeners
:
fiZTEIC=IMMAI4=1
61.11Y3Y
458.3
1478.4
0.3
...a...
I
in
-05
th
19
adorn
2.2
ath
39
ax
8.1
1
2
6/.11Y5Y
402.1
1480.3
0.3
5
-DS 1i
1.7
3.2 49
3
GM 1Y7Y
353.9
was
02
8
-DA
1.1
1.7
3.2 BA
4
61111Y10Y
290.8
1488.5
02
5
-DA
1.1
1.9
3.2 8.3
5
31A 1Y3Y 1266.6 11439.0
0.1
1
-OA 21
5.7
9.9 21.1
6
31111Y5Y
1170.6 11687.5
0.1
1
-DA 23
5.1
9.1 14.6
7
31A 1Y7Y 1048.4 117059
0.1
1
-DA
2.0
5.0
LIS 14.9
8
3/A IY10Y 883.9
11818.3
0.1
1
-0.3
2.8
5.0
9.0 15.0
9
31113Y5Y
-940
248.5
-114
33
-2A -0.6
-0.1
OS 32
ID
6143Y5Y
-582
141.6
-04
36
-29 -0.7
-0.1
0.9 28
II 6M3Y7Y
-104.4
171.4
-0.6
24
-2A -DA
0.0
1.3 32
12 6/43Y10Y -167.5
244.6
-0.7
17
-1.9 -DS
0.4
1.8 3A
13
3/43Y7Y -218A
266.9
-08
18
-2.1 -DA
0.0
IA 3.5
14 6/4 7Y10Y 43.1
732
-0.9
8
-38 0.5
1.1
1.8 38
IS
1Y 1Y3Y
-2484
261.7
-a9
86
-9.5 -0.7 -28 08 4.9
Patrice Otreteche Bent
I-Values as of September 3rd 2015
Tenor Repo Spot Swap Spread 1M Fwd. Swap Spread
2
15.00
13.5
13.8
3
16.00
11.9
13.3
5
7.50
9.1
9.3
7
9.50
2.5
2.3
10
2.50
53
5.4
30
11.50
-23.8
-24A
Swot& Oa date awe
Page 36
Deutsche Bank Securities Inc.
EFTA01097850
4 September 2015
US Fixed Income Weekly
IDGX and DVX across different market regimes
220 —DGX
-T-TTTT -
200 -
DVX(right)
180
I
160
I i
140
I i
120
100
80
60
40
00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
160
140
120
100
80
60
40
'Ratios of 2Y to 10Y tenors (quartiles, 5-year history)
1.4
1m
3m
6m
1y
2Y
5y
7y
by
Saner Desire tank
...........
2Y Tenors,10Y Toms
• mean OLast
'Ratios of 30Y to 10Y tenors (quartiles, 5-year history)
2.4
2.2
2
1.8
1.6
1.4
1.2
0.8
0.6
tm
3m
6m
1y
2y
Sy
Same: Deutsche lent
30V Tenors/10Y Tenors
EIVean lo Last
7y
lOy
'Term structure of 2Y vol
130
120
/4.4‘)V•
110
100
90
80
70
60
50
40
sown: Dolasolo H_
0
5
10
15
20
3-Sep-15
earn 5-Sep-13
3-Sep-10
'Term structure of 10Y vol
140
130
120
110
100
90
80
70
60
10
15
20
Sane. Ocean* Etont
'Term structure of 30Y vol
130
120
110
100
90
80
70
60
50
5
10
15
20
0
$an °wasn't8w*
s
3.8611.15
•5•Sep.13
o—.3•Sep.10
imas
i 3-Sep- 15
.Lisr.5-Sep-13
--u— 3-Sep- 10
Deutsche Bank Securities Inc.
Page 37
EFTA01097851
4 September 2015
US Fixed Income Weekly
3M carry across different expiries (ATMF receivers)
6
4
2
80
-2
-4
6
Tenor
'Breakdown of 3M carry for 6M expiries (% premium)
—0-6m --1}-1y —a-2y
80%
IUS surprise index: 10Y Treasury yield
SWAY: Dourses Bonk
'Combined put/call ratio in Treasury futures
2.25
2.00
—Put/call ratio —Average
1.75
1.50
1.25
1.00
0.75
0.50
0.25
9/1/07
9/1/09
9/1/11
9/1/13
9/1/15
Sant Dowattabak and aME Gm.
60%
40%
20%
0/
-20%
-40%
6mly 6m2y 6rrty 6m7y 6m10y 6m15y 6m20y 6m30y
Scvere:Onotso Sant
'Trade weighted dollar surprise index
110
203
90
80
70
60
so
40
30
Au 44
M
AY\14
—surprise
—Deutsche Bankl/C0
tracieweightedindex
04.146
Aug-06
Aur10
Aug-12
Aug-14
100
95
90
85
80
75
70
65
60
55
50
Page 38
Deutsche Bank Securities Inc.
EFTA01097852
4 September 2015
US Fixed Income Weekly
/
IUS Treasury Coupon Auction Calendar
Ticker/Coupon/Maturity
Date
Tap/New Issue
Size
T TIM 9/18
Tuesday, September 08
New Issue
24btn
T2.00% 8/25
Wednesday, September 09
Tap
21bIn
T 2.875% 8/45
Thursday, September 10
Tap
13bIn
IUS Economics & Events Calendar
Event
DB Forecast
Mon. Sep 07 2015
Labor Day Holiday
All markets closed
Tue, Sep 08 2015
Consumer Credit
+20.08
Wed, Sep 09 2015
July JOLTS data released
10:00 AM
Thu, Sep 10 2015
Wholesale Inventories
+0.1%
Fri, Sep 11 2015
PI
Total
-0.1%
Core
+0.2%
Consumer Sentiment
95.0
Deutsche Bank Securities Inc.
Page 39
EFTA01097853
4 September 2015
US Fixed Income Weekly
IEuropean Economics & Events Calendar
Date
Economic Releases
Political Events
Bond RedemptiordSupply
Sep 07
Germany: Industrial Production SAYoY
Sep 08
Eurozone: GDP SAYoY
Germany: Schaeuble Presents 2016 Federal Draft
Budget in Parliament
Germany to Sell EUR1 Bln 0.5% UL 2030 Bonds
IDE0001030559)
Sep 09 Greece: CPI EU Harmonized YoY
Germany: Merkel Delivers Remarks in Parliament
Keyed to 2016 Budget
Germany to Sell EUR4 Bln 1.0%2025 Bonds
IDE0001102382)
Italy to Sell Bonds
Sep 10
Spain: Industrial Output NSA YoY
Portugal: CPI EU Harmonized YoY
France: Industrial Production YoY
Ireland: CPI EU Harmonized YoY
Ireland to Sell Bonds
Sep 11
Spain: CPI EU Harmonized YoY
Germany: CPI EU Harmonized YoY
Italy: Industrial Production Vol'
(Total/excess return forecasts in HY, IG, leveraged loans
HY
IR
Syr Trsy
10yr Trsy
Loans
2yr Trsy
Spreads/Yields
Spreads/Yields
Current
561
163
149
218
Current
540
57
Target
650
170
160
225
Target
575
75
Change
89
7
11
7
Predicted Change
35
18
Rate Duration
1.0
Duration
4.6
6.5
4.8
8.5
Spread Duration
2.7
Change in Yield
100
17
11
7
Avg Par Coupon
440
Change in Price
-462
-107
-53
-60
Libor/Tsy Change
18
Current Yield
701
409
Total Change in Yield
53
Current Price
95.8
104.3
Repricings
-50
Default Rate
3.5
0.0
Capital Gain
-163
Recovery
40
Credit Loss
-204
0
Current Yield
440
Default Rate
3.5
Price Return
-6.9
-1.0
Price
99.9
Total Return
0.1
3.1
Credit Loss
87
Excess Return
-0.9
1.9
Total Return
1.9
Page 40
Deutsche Bank Securities Inc.
EFTA01097854
Deutsche Bank Securities Inc.
Closed Trade Recommendations
Trade Detail
Rationale
Risks
Opened
Entry
Closed
Exit
P/L
Inflation
Underweight 30yr TIPS
30y r tends to cheapen ahead of
supply
30yr outperforms
6/5/15
+11 bp
6/17/15
+12 bp
-60k
Inflation
Short 1/2026 breakevens vs 5yr and
30yr breakevens
10s look rich; sell the rich 1/2026s
10s richen further
1/23/15
+15 bp
6/11/15
+5 bp
+308k
Inflation
Long 30yr TIPS breakevens versus
10yr TIPS breakevens
10s-30s breakeven curve appears too
flat on a long term basis
Long term inflation
expectations decline
11/26/14
+16 bp
6/5/15
6.54 bp
152K
Inflation
Long 2019 TIPS breakevens versus
2016 TIPS breakevens
Being long 2019 BEs versus 2016 BEs
has positive carry, and is less
correlated with energy prices than 1yr
BEs
2019 breakevens drop
more than 2016
breakevens
11/26/14
+41 bp
2/25/15
+22 bp
+4,014k
Inflation
Long 30yr TIPS breakevens
Bond TIPS look cheap on a relative
value basis
Inflation expectations
decline
10/17/14
2.08%
12/9/14
1.97%
-1,171k
Inflation
Buy 2023 TIPS vs. 7/2019 and 1/2025
TIPS on ASW
The intermediate sector in inflation
markets is cheap relative to the wings
cheapening of the
cheapen
markets
belly in
be
•
relative to the wings
12/6/13
+38 bp
12/19/14
+8 bp
+2,263k
Inflation
Swaps
Long 2y2y inflation swap
2y2y inflation looks attractive on
historical basis
Forward inflation falls
10/3/14
2.1%
12/9/14
2.0%
-309k
Inflation
Swaps
Sell the 5yr5yr inflation swaps
The spread between 5yr5yr inflation
swaps and 5yr5yr TIPS breakevens is
wide. Selling the 5yr5yr inflation
swaps looks attractive.
5yr5yr inflation swaps
rise
11/7/14
2.58%
12/18/14
2.43%
+1,361k
Option
Buy $100mn 6M 2y1y 25bp OTM MC
payers vs. Sell 100mn 1Y 4Y1Y 45bp
OTM MC payers at zero net cost
Curve flattens on a hawkish FOMC
Curve bear steepens
9/12114
Ort
3/11/15
-0.74
-32k
Option
Sell $100mn 6M5Y ATMF vs. buy
$200mn 6M5Y 30bp OTM payers at
zero net cost
Skew trades rich in a sell-off
Rates sell off half-way
and stay there till the
expiry
9/12/14
0 bp
3/11/15
0.0 bp
-2k
Option
MM-curve payer: Sell $100mn 1Y
nigrItnniiMIIAITir Fvepayers vs. buy
payers for the
net takeout of 28c
5Y5Y has a limited upside while 1Y2Y
could see significant repricing due to
adjustments of monetary policy
The curve bear steepens
3/14/14
-184
3/13/15
0.04
+184k
Option
Conditional bull steepeners: Sell
S32.8mn 3M10Y ATMF receivers vs.
buy $100mn 3M3Y ATMF receivers at
net takeout lc
Front-end gets re-priced in a delayed
Fed hike
Curve bull flattens;
unlimited downside
9/26/14
-1 by
12/30/14
0 by
+19k
Option
Buy 1X2 3M3Y ATMF/13.5bp receiver
spreads for zero net cost
Short-term risk off and short covering
Rally below the
breakevens; unlimited
downside
9/26/14
0 bp
12/30/14
0 bp
+28k
Option
Buy $1,000mm 6m single reset cap on
CMS10-CMS5 strike 89bp for 9.75c
Carry pays for option, repriced fed
suggests 5y outperformance
Curve flattening, max
loss premium
5/20/14
+9 by
11/20/14
0 by
-875k
Option
Sell $100mn 3M5Y straddles vs. buy
$100mn 3M5Y 22bp OTM payers for
net takeout of 100c.
No big changes in vol near term
Rates rally
9/19/14
-100 bp
12/30/14
0 bp
+1,028k
So woe: Down». Sant
EFTA01097855
2014 Outlook Closed Trades
Trade Detail
Rationale
Risks
Opened
Entry
Closed
Exit
P/L
Option
1y 3s10s conditional bearish flattener
for zero premium: Buy 1y3y + 25 bp
payer, sell DVOI weighted 1y10y
+41.5 bp payer for zero premium.
The curve should bear flatten
as soon the Fed tapers and
front end sells off
Curve steepens as rates rise
1216/13
+212.5 bp
12/19/14
+17 bp
Ok
Option
Receiver spreads: Buy $100mm 2y2y
ATMF/25 bp receiver spreads at 28 bp
Macro data disappoints, curve
bull flattens
Rates rise as recovery
strengthens
1216/13
+28 bp
12/19/14
+29 bp
+19k
Option
Contingent payers: Buy 1y30y ATMF
payers subject to 5s< ATMF+50 bp at
259 b • a 57% discount to vanilla
Rate hikes unbundled from
taper, long end sells off while
5 remains anchored
Curve flattens
12/6/13
12/19/14
Option
Dual digital option on 5s and 10s: Buy
a 6m dual digital that pays out if 5s a
2% & 10s< 3.50%, offer 17% (6:1
leverage)
Curve flattens beyond the
current forwards; adding
additional l
rage by shorting
the correlation between 5y and
1 i rates
Either of the two conditions
is not true at expiration;
maximum loss is premium
outlay
12/6/13
12/19/14
Option
Contingent curve cap: Buy 6M 5s10s
ATMF curve caps subject to 10s <
3.50%, 5.25c offer, a 40% discount to
vanilla at 9c
Front-end of the curve remains
anchored, limited sell off in 10s Curve flattens
12/6/13
12/19/14
Option
Curve caps: Buy 1y single reset, ATMF
5s30s curve cap at 21.5 bp
Economic recovery disappoints
and curve remains steep
Curve flattens
12/6/13
+21.5 bp
12/19/14
0 bp
-197k
Swaps Rv
Forward steepener. Receive fixed on
$11
.85 mm
5.71 mm 1y10, pay fixed on
$54
1v30v
Slope of 10s30s too flat given
level of 10y Rate
Curve flattens
3/28/14
+45 bp
3/27115
+33 bp
-3,109k
Swaps RV Receive $208.2mm 6m5y rate versus
pay $292.9mm 10y5y rate
15y par rate rich, 6m5y
exposed to repricing Fed with
positive carry
Curve flattenening
5/20/14
+219 bp
11/19/14
+320 bp
-7,274k
Swaps RV Receive 3y1y/2y1y rate spread at 108
bp
Curve slope is near its historic
.
curve
revels;
is likely to flatten
in both sell-off or rail
Curve steepens
12/6/13
+108 bp
12/19/14
+80bp
+222k
US Credit Underweight high-yield into Taper
HY spreads should widen upon
the onset of the taper
Tapers gets delayed
12/6/13
12/19/14
Sowee (*tante Minh
Pert comince numenn we based an "sob r onsTabby awks. an Iclo not vat* AS" er spreaor Mix!., costs 14P avoroVe the eatontlenOvnyr• kg an ususs to be
romPOSWOR 9v7 Me breiViyK4 0, generavyinorter ntatelOWOMS altos, ark. Holorem oaf <mime a note
Downey of Neve pogarance •
Deutsche Bank Securities Inc
EFTA01097856
4 September 2015
US Fixed Income Weekly
Appendix 1
Important Disclosures
Additional information available upon request
*Prices are current as of the end of the previous trading session unless otherwise indicated and are sourced from
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For disclosures pertaining to recommendations or estimates made on
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Analyst Certification
The views expressed in this report accurately reflect the personal views of the undersigned lead analyst(s). In addition,
the undersigned lead analyst(s) has not and will not receive any compensation for providing a specific recommendation
or view in this report. Dominic Konstam/Aleksandar Kocic/Joseph LaVorgna/Alex Li/Stuart Sparks/Daniel Sorid/Steven
Zeng/Aditya Bhave
The authors of this report wish to acknowledge the contribution made by Shailendra Singh, Ignacio Quintana, Catherine
Montecinos, employees of Evalueserve, a third-party provider to Deutsche Bank of offshore research support services.
Regulatory Disclosures
1.Important Additional Conflict Disclosures
Aside from within this report, important conflict disclosures can also be found at tittp_s_l/qm_.4b.cordequitie_s under the
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2.Short-Term Trade Ideas
Deutsche Bank equity research analysts sometimes have shorter-term trade ideas (known as SOLAR ideas) that are
consistent or inconsistent with Deutsche Bank's existing longer term ratings. These trade ideas can be found at the
SOLAR link at http.//gm db corn.
Deutsche Bank Securities Inc.
Page 43
EFTA01097857
4 September 2015
US Fixed Income Weekly
Additional Information
The information and opinions in this report were prepared by Deutsche Bank AG or one of its affiliates (collectively
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Macroeconomic fluctuations often account for most of the risks associated with exposures to instruments that promise
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index fixings may — by construction — lag or mis-measure the actual move in the underlying variables they are intended
to track. The choice of the proper fixing (or metric) is particularly important in swaps markets, where floating coupon
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Derivative transactions involve numerous risks including, among others, market, counterparty default and illiquidity risk.
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Page 44
Deutsche Bank Securities Inc.
EFTA01097858
4 September 2015
US Fixed Income Weekly
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Unless goveming law provides otherwise, all transactions should be executed through the Deutsche Bank entity in the
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Deutsche Bank Securities Inc.
Page 45
EFTA01097859
4 September 2015
US Fixed Income Weekly
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Page 46
Deutsche Bank Securities Inc.
EFTA01097860
David Folkens-Landau
Group Chief Economist
Member of the Group Executive Committee
Raj Hindocha
Global Chief Operating Officer
Research
Michael Spencer
Regional Head
Asia Pacific Research
Marcel Cassard
Global Head
FICC Research & Global Macro Economics
Ralf Hoffmann
Regional Head
Deutsche Bank Research, Germany
Steve Pollard
Global Head
Equity Research
Andreas Neubauer
Regional Head
Equity Research, Germany
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li itM Crate¢ of Amnrira
GFICM2015PROD034563
EFTA01097861
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