1 northwestern university did market structure contribute to the recent financial crisis? p...
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Northwestern University
Did Market Structure Contribute to the Recent Financial Crisis?
PRESENTATION TO
Ravi Mattu
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(CDS – Bond) Basis Post the Lehman Bankruptcy:
What happened to the basis?
– Historical behavior of the basis and volatility during the crisis
Plausible explanations
– Issues with LIBOR
– Risky counterparties and impact of default correlations
– Market structure? Was the deleveraging in corporate bonds triggered by the basis?
– Flows in the derivative market
A look at other Forward/Futures Markets
– FX, Equities, Mortgages, Treasury Futures
Role of Market Structure
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Jun-89 Jun-91 Jun-93 Jun-95 Jun-97 Jun-99 Jun-01 Jun-03 Jun-05 Jun-07 Jun-09
bp
/yea
r
Investment Grade High Yield Breakeven Spreads IG Breakeven Spreads HY
OAS (bp)
Date Corp IGCorp HY
9/12/2008 327 815
12/16/2008 608 1971
10/8/2009 218 771
U.S. Investment Grade and High Yield Corporate Bond Spreads: Option Adjusted Spreads Over Treasuriesa
Source: Barclays Capital, Moody’s for default rates in the 1932-1935 period, we assume recovery rates of 20% and that losses were equally distributed over this time period.
ª Average for the Barclays Capital Indices.
Breakeven Spreads Implied by default rates from 1932-1935
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Definition of the (CDS – Bond) Basis
Basis = CDS Spread – Par Priced Asset Swap Spread (over the Swap curve) of bond
Adjustments
• Calculate CDS spread for a default swap with maturity matched to the cash bond by interpolating the par CDS curve.
• The Par Priced-Asset Swap Spread represents the Spread over LIBOR that would equal the risk-free present value of the coupon stream of a cash bond plus the current difference between par and the price of the bond:
Where DFi is the risk free discount factor for time i, Li is the LIBOR rate for time i, c is the risky bond coupon and s is the par priced asset swap spread.
n
iii
n
ii DFsLDFcpricepar
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**
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Average Daily Asset Swap Spread and (Bond–CDS) Basis: for A-rated Bonds
-100
0
100
200
300
400
500
1/2/2007 7/2/2007 1/2/2008 7/2/2008 1/2/2009 7/2/2009
bp
/ye
ar
A-Rated Par Asset Swap Spread A-Rated (Bond-CDS) Basis
Date
Par asset Swap
Spread(Bond-CDS)
Basis
9/12/2008 244bp 54bp
12/16/2008 427 282
10/8/2009 162 51
Source: J.P.Morgan
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Average Daily (Bond–CDS) Basis: by Rating
-200
-100
0
100
200
300
400
500
600
700
800
900
1/2/2007 7/2/2007 1/2/2008 7/2/2008 1/2/2009 7/2/2009
bp
/ye
ar
A-Rated BBB-Rated BB-Rated
(Bond-CDS) Basis
Date A BBB BB
9/12/2008 54bp 105bp 126bp
12/16/2008 282 388 760
10/8/2009 51 100 123
Source: J.P.Morgan
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Libor As Well As Swap Spreads Were Contaminated
Libor is not a true transaction rate. Banks are asked at what rate they “perceive” they can raise rates.
Swap spreads have become extremely low in the 10-year sector and have been negative in the 30-year sector due to demand to receive fixed.
-100
-80
-60
-40
-20
0
20
40
60
80
1/2/2007 7/2/2007 1/2/2008 7/2/2008 1/2/2009 7/2/2009
bp
/yea
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On-the-run Off-the-run
On-the-run and Off-the-run 10-year Treasuries Par Asset Swap Spreads
Spreads over LIBOR
Date On-the-run Off-the-run
9/12/08 -61bp -38bp
12/16/08 -17 56
10/08/09 -14 7
Source: J.P.Morgan
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Impact of Counterparty Credit Risk on CDS Spreads
Both parties in a CDS are exposed to counterparty risk.
However, the exposure is “asymmetric” with the buyer of protection having more exposure to the counterparty than the seller.
Bond spread = CDS spread + Counterparty credit adjustment + Liquidity
To estimate the adjustment required calculate the implied default probability of both the reference entity (on which the CDS is based) and the financial counterparty (the seller of protection) from the cash bond spreads.
For an assumed default correlation calculate the joint probability of both the reference entity and the counterparty defaulting.
Calculate counterparty credit adjustment from (see Appendix) and back out “liquidity” compensation. Subtract it from bond spread and iterate again using Bond Spread less liquidity premium to calculate default probability in step 1.
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2
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Calculating Counterparty Credit Cost Adjustment – Numerical Example
• Reference Entity: A-rated Industrial
• CDS protection seller: A-rated financial
• Assumed recovery rates: Counterparty = 25%, Reference entity = 35%
• Assume, default correlation = 0.2 (3 to 5 year maturity)
• Date: November 3, 2008
• Financials spread = 446 bp/treasuries
• A-rated Industrial spread = 602 bp/treasuries
• A-rated CDS – Bond basis = -279 bp
• Probability of default (4yr) for Financials = 15%Probability of default (4yr) for Industrial = 31%Joint probability of default = 8%Counterparty credit costs = 35 bp16
The example shown should not be relied upon as representative of an actual investment. No representation is being made that any account will or is likely to achieve profits or losses similar to those being shown.
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Sensitivity of Counterparty Credit Costs to Spread Levels
300 400 500 600 700 800 900
200 9 13 17 20 23 26 29
400 19 28 36 44 52 60 68
500 23 33² 43 53 63 73 83
600 26 38 49 61 72 85 97
800 30 45 59 74 89 105 122
900 32 47 63 79 97 115 134
1000 33 50 67 85 104 124 145
Reference Entity Bond Spreads¹
Co
un
terp
arty
Bo
nd
Sp
read
s (b
p)
¹ Par Asset Swap Spread is assumed to be 200bp above CDS spread.
² If reference entity bond spread is 400 bp and the spread on the seller of protection is 500bp, then the Counterparty credit adjustment is 33bp and the liquidity premium is 167bp.
Default Correlation = 0.2
Source: Citadel Investment Group
The analysis shown above is performed using Citadel proprietary models. The estimates and projections used in this presentation rely on numerous assumptions that forecast market conditions. These assumptions can be materially inaccurate. Further, regulatory changes can cause the models used to be materially inaccurate. The example shown should not be relied upon as representative of an actual investment. No representation is being made that any account will or is likely to achieve profits or losses similar to those being shown.
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Sensitivity of Counterparty Credit Costs to Spread Levels
300 400 500 600 700 800 900
200 19 27 33 37 38 38 39
400 41 58 72 86 98 110 122
500 49 69 86 102 117 132 147
600 56 78 97 116 134 151 169
800 66 92 116 139 161 184 206
900 62 98 123 148 173 198 223
1000 57 103 130 157 184 211 238
Reference Entity Bond Spreads
Co
un
terp
arty
Bo
nd
Sp
read
s (b
p)
Default Correlation = 0.4
Source: Citadel Investment Group
The analysis shown above is performed using Citadel proprietary models. The estimates and projections used in this presentation rely on numerous assumptions that forecast market conditions. These assumptions can be materially inaccurate. Further, regulatory changes can cause the models used to be materially inaccurate. The example shown should not be relied upon as representative of an actual investment. No representation is being made that any account will or is likely to achieve profits or losses similar to those being shown.
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Does Counterparty Risk Explain Movements in the (Bond-CDS) Basis? Counterparty Credit Adjustment Versus Average Basis in A-Rated Industrials
Default Correlation between Reference Entity and Protection seller = 0.2
-100
-50
0
50
100
150
200
250
300
Jan-07 May-07 Sep-07 Jan-08 May-08 Sep-08 Jan-09 May-09 Sep-09
Basis (bp) Counterparty Credit Adjustment
Source: Citadel Investment Group and J.P. Morgan
The analysis shown above is performed using Citadel proprietary models. The estimates and projections used in this presentation rely on numerous assumptions that forecast market conditions. These assumptions can be materially inaccurate. Further, regulatory changes can cause the models used to be materially inaccurate. The example shown should not be relied upon as representative of an actual investment. No representation is being made that any account will or is likely to achieve profits or losses similar to those being shown.
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0
50
100
150
200
250
300
350
Jan-07 May-07 Sep-07 Jan-08 May-08 Sep-08 Jan-09 May-09 Sep-09
0% Correlation 20% Correlation
40% Correlation Max Possible Correlation
Sensitivity of Counterparty Credit Cost Adjustment to Default Correlation
Source: Citadel Investment Group and JP Morgan
The analysis shown above is performed using Citadel proprietary models. The estimates and projections used in this presentation rely on numerous assumptions that forecast market conditions. These assumptions can be materially inaccurate. Further, regulatory changes can cause the models used to be materially inaccurate. The example shown should not be relied upon as representative of an actual investment. No representation is being made that any account will or is likely to achieve profits or losses similar to those being shown.
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Maximum Possible Counterparty Credit Cost Adjustment Versus Average (Bond-CDS) basis on A-Rated Industrials
-100
-50
0
50
100
150
200
250
300
350
Jan-07 May-07 Sep-07 Jan-08 May-08 Sep-08 Jan-09 May-09 Sep-09
Basis (bp) Counterparty Credit Adjustment
Source: Citadel Investment Group and J.P. Morgan
The analysis shown above is performed using Citadel proprietary models. The estimates and projections used in this presentation rely on numerous assumptions that forecast market conditions. These assumptions can be materially inaccurate. Further, regulatory changes can cause the models used to be materially inaccurate. The example shown should not be relied upon as representative of an actual investment. No representation is being made that any account will or is likely to achieve profits or losses similar to those being shown.
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Historical Default Correlations
Five and Ten Year Default Correlationby Initial Moody’s Ratings (1970 to 1993)
Source: “Default Correlation and Credit Analysis”, Douglas J. Lucas, The Journal of Fixed Income, March 1995.
Five Year Ten Year
A Baa Ba B A Baa Ba B
A .01 .02
Baa .01 0 .01 0
Baa .04 .03 .15 .04 .02 .08
B .06 .07 .25 .29 .09 .06 .17 .38
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Scale of Dealer Deleveraging in Corporate Bonds over 2007 and 2008
0
100
200
300
400
500
600
01/05 05/05 09/05 01/06 05/06 09/06 01/07 05/07 09/07 01/08 05/08 09/08 01/09 05/09 09/09
Date
$ B
illio
ns
Repo for Clients Dealer Positions
Just prior to Lehman Bankruptcy (9/10/09)Total Dealer Inventory: $340BN
for Clients: $180BN
Peak (7/18/07)Total Inventory: $524BN
for Clients: $243BN
(9/16/09)Total Inventory: $215BN
for Clients: $91BN
Source: Primary Dealer Survey, Federal Reserve Bank of New York
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Scale of Deleveraging Relative to Peak Levels
0%
20%
40%
60%
80%
100%
120%
07/01 07/02 07/03 07/04 07/05 07/06 07/07 07/08 07/09
Date
% o
f Pe
ak
Po
sitio
ns
Repo for Clients Dealer Positions
Source: Federal Reserve Bank of New York
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Why did Dealers Have Large Positions in Corporate Bonds?
• Many Clients took credit risk exposure through single name CDS or structured credit tranches.
• Dealers could not offset the hedges by buying protection in the CDS market and, therefore, were buying corporate bonds (cash).
• These cash positions became extremely hard to finance during the crisis.
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Change in “Haircut” or Initial Margin, April 2007 versus August 2008
April 2007 August 2008
U.S. Treasuries 0.25 3.0
Investment-grade Bonds 0-3 8-12
High-yield Bonds 10-15 25-40
Equities 15 20
Investment grade CDS 1 5
Senior leveraged loans 10-12 15-20
Mezzanine leveraged loans 18-25 35+
Prime MBS 2-4 10-20
ABS 3-5 50-60
Source: “Financial Stress and Deleveraging”, IMF Global Financial Stability Report, October 2008, Page 42
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Market Structure and Dislocation in other Forward/Futures Markets
Product Exchange/OTC Clearing Mechanism
Credit Derivatives OTC Bilateral till recently
U.S. Agency Mortgages OTC Multilateral, MBSCC
Foreign Exchange Largely OTC Multilateral
Equities Futures Exchange (CME) Multilateral
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Implied Financing of Forwards/Futures during the Crisis: Agency Mortgage Current Production Coupon
(Implied spread over LIBOR for financing between front month delivery and back month delivery)
Spread of TBA Mortgage Financing to LIBOR (Front Month)
-600
-500
-400-300
-200
-100
0100
200
300
Jan-07 May-07 Sep-07 Jan-08 May-08 Sep-08 Jan-09 May-09 Sep-09
bp
Source: JP Morgan
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Implied Spread in Financing Deposits in Various Currencies (Euros, Sterling, Yen) through 6 month U.S. Dollars
Investing in Sterling
-100
0
100
200
300
Jan-08 May-08 Sep-08 Jan-09 May-09 Sep-09
bp/y
ear
Investing in Euro
-100
0
100
200
300
Jan-08 May-08 Sep-08 Jan-09 May-09 Sep-09
bp/y
ear
Investing in Yen
-100
-50
0
50
100
Jan-08 May-08 Sep-08 Jan-09 May-09 Sep-09
bp/y
ear
Source: Citadel Investment Group and JP Morgan
The analysis shown above is performed using Citadel proprietary models. The estimates and projections used in this presentation rely on numerous assumptions that forecast market conditions. These assumptions can be materially inaccurate. Further, regulatory changes can cause the models used to be materially inaccurate. The example shown should not be relied upon as representative of an actual investment. No representation is being made that any account will or is likely to achieve profits or losses similar to those being shown.
23
Implied Financing Rate in S&P 500 Futures (90 days Constant Maturity) Versus 3 months LIBOR
-60
-40
-20
0
20
40
60
1/2/2008 5/2/2008 9/2/2008 1/2/2009 5/2/2009 9/2/2009
bp/y
ear
Source: JP Morgan
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Appendix
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NyrDefaultyrNDefault
NyrDefaultyrNSurvival
yrDefaultyrSurvivial
)Prob1(1Prob
)Prob1(Prob
Prob1Prob
)1()(
)1()(
)1()1(
Citadel Methodology for Calculating Counterparty Credit - Derivations
Step1: Calculating the marginal 4 year default probability
:iprelationsh following theusing calculated isy probabilitdefault year -N The
entity. theof raterecovery theis R where
1)exp(
1)exp()Pr(
:computed isy probabilitdefault 1yr theNext,
21)exp(
:Annual)-(Semi one observed thefrom deduced is spreadcash continuous equivalent theFirst,
1
2
RCashSpread
CashSpreaddefault
CashSpreadCashSpread
cont
contyr
Observedcont
1
26
BA
BABA
BA
BA
II
IIII
II
IICovBA
varvarvarvar
),(),(
Let A be the event that the counterparty defaults, and B be the event that the reference entity defaults. Also, define IA and IB as the indicator functions of A and B respectively.
Following these definitions, we have:
BABBAABAAB
AB
BBBAAAA
PPPPPPP
PAnd
PPIBPPPIP
and
11
II
1var,I,1var,I
: variablesrandom Bernoulli areIIBut
,
BA
BA
AA
2
(Joint Probability)
Citadel Methodology for Calculating Counterparty Credit - Derivations
Step2: Calculating the 4 year Joint default probability
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3
2001. Spring 3, No 8, Vol. s,Derivative of Journal ,Alan White and HullJohn ,II" SwapsDefault Credit Valuing" :Source *
1
2rcP
1
321
s Credit ty Counterpar
11ss-s Credit ty Counterpar
riskdefault ty counterpar no assuming spread CDSs
spread CDS observed s
rtycopunterpa theofy probabilitdefault 4yr cP
entity reference theofy probabilitdefault 4yr rP
years 4in defaulting entitiesboth ofy probabilitJoint rcP
321
2rcP
1
ˆ CF
:spread* CDS observed in the embedded
cost credit ty counterpar for thecorrect tocalculated isfactor correction following The
rP
rcPcP
CF
wherercPcP
rP
s
s
Citadel Methodology for Calculating Counterparty Credit - Derivations
Step3: Backing-out the counterparty credit from the 4yr joint default probability
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