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General Literature Strategy definitions Data Strategies
Mutual Funds’ Credit Default Swap Strategies
Tim AdamHumboldt University
Andre GuettlerUlm University
Li MaHumboldt University
preliminaryCRC649 Conference
07.2014 1/25
General Literature Strategy definitions Data Strategies
Bill "Bond King" Gross...
Source: http://assets.nerdwallet.com/blog/investing/files/2012/08/billgross.jpg
CRC649 Conference
07.2014 2/25
General Literature Strategy definitions Data Strategies
A brief introduction of CDS
Credit default swaps (CDS) is an agreement between two parties(CDS buyer and CDS seller) under which the CDS seller agrees tocompensate the CDS buyer in the event of a loan default (or othercredit event) for which the seller receives a premium.
CRC649 Conference
07.2014 3/25
General Literature Strategy definitions Data Strategies
A brief introduction of CDS
• CDS are private contracts and are not traded on anyexchanges1. But investment companies (e.g. mutual funds)are required to disclose their derivatives usage, including CDSpositions, to the SEC quarterly.(Investment Bank Act 1940).
• Naked CDS positions are always allowed except for naked longCDS positions written on EU sovereign debt.
• Market size: By the end of 2007, the outstanding CDSamount was $62 trillion, more than the total notional of bondson this planet. It has fallen to $29 trillion by the end of 2011.
1This is changing due to recent regulation changes, including central clearingand the introduction of swap execution facilities.
CRC649 Conference
07.2014 4/25
General Literature Strategy definitions Data Strategies
A brief introduction of CDS
Why does it matter?• Short a CDS generates high implicit leverage at low costs.• Long CDS positions are (still) not regulated in the U.S.• AIG, Bear Stearns, Oppenheimer Champion Income Fundsuffered from significant losses trading CDS during the GFC.
CRC649 Conference
07.2014 5/25
General Literature Strategy definitions Data Strategies
A brief introduction of CDS
In a complete market, CDS would be redundant since it can bereplaced by a cash flow equivalent position in the underlying bondand a risk free asset.• Selling a CDS and investing the notional amount intoTreasuries would allow synthesizing a bond.
But:• Transaction costs, Garleanu and Redersen(2011), Shen, Yanand Zhang(2013)
• Liquidity, Oehmke and Zawadowski(2014)• Risk transfer, Zawadowski(2013)• Arbitrage, Fontana(2011), Bai and Collin-Dufresne(2010)
CRC649 Conference
07.2014 6/25
General Literature Strategy definitions Data Strategies
CDS Strategies in general:• Oehmke and Zawadowski(2013)
CDS usage by other financial institutions:• Mahieu and Xu (2007), Minton, Stulz, and Williamson (2009),Hirtle (2009), Van Ofwegen, Verschoor, and Zwinkels (2012)
• Aragon and Martin (2012)Mutual funds’ derivative usage:• Koski and Pontiff (1999); Johnson and Yu (2004); Marin andRangel (2006)
• Cici and Palacios (2010)First paper to examine credit default swap strategies at eachindividual position level.
CRC649 Conference
07.2014 7/25
General Literature Strategy definitions Data Strategies
ConceptsNegative basis trading• Basis
• Spread difference on the same asset between cash andderivatives market
• CDS basis• The difference in spread between CDS and underlying asset,
usually bonds, for the same debt issuer and with similarmaturities.
• CDS basis = CDS spread - bond spread• Negative basis trade
• Given the existence of negative basis, explore the difference bypurchasing the CDS and bond simultaneously.
• The negative basis will eventually narrow near maturity ofbonds. The investor can lock in a profit.
CRC649 Conference
07.2014 8/25
General Literature Strategy definitions Data Strategies
Definition
Negative basis trading• ∆bond notional ≈ ∆long CDS notional > 0 and CDS basist <
0• Entering into (or increasing the amount of) long Sname CDS
positions and bond positions at the same period.• The respective CDS basis is less than 0 basis point.
CRC649 Conference
07.2014 9/25
General Literature Strategy definitions Data Strategies
Quasi negative basis trade with positive basis• ∆bond notional ≈ ∆long CDS notional > 0 and CDS basist >
0• Entering into (or increasing the amount of) long Sname CDS
positions and bond positions at the same period.• The respective CDS basis is more than 0 basis point.• The strategy is plausible if the trader expects the basis to
become even wider.
CRC649 Conference
07.2014 10/25
General Literature Strategy definitions Data Strategies
Hedging• ∆long CDS notional > 0 and bond notionalt 6=
0 and bond notionalt−1 6= 0 and bond notionalt <=bond notionalt−1
• There is an increase in long Sname CDS position, and therespective bond position remains unchanged or is decreasing.• Bond position exists in both t and t-1.• If the increase of long Sname CDS positions makes the CDS
notional to pass through the notional of the respective bond,then the fund is over hedging. Over hedging can be due to thefact that funds do duration matching.
CRC649 Conference
07.2014 11/25
General Literature Strategy definitions Data Strategies
Naked long CDS• ∆long CDS notional > 0 and bond notionalt == 0• The increase of long Sname CDS positions, and during which
period there is no underlying in the portfolio holdings.
CRC649 Conference
07.2014 12/25
General Literature Strategy definitions Data Strategies
Synthetic bond• ∆short CDS notional < 0 and basist > 0• There is an increase in short Sname CDS positions, and the
CDS basis is positive.
CRC649 Conference
07.2014 13/25
General Literature Strategy definitions Data Strategies
Outright CDS• ∆short CDS notional < 0 and synthetict ==
0 and bond notionalt == 0• The increase of short Sname CDS positions that are not
synthetic bonds, and during which period there is nounderlying in the portfolio holdings.
CRC649 Conference
07.2014 14/25
General Literature Strategy definitions Data Strategies
To put the above definitions into perspective:
Strategies ⇑ long Sname CDS ⇑ short Sname CDS ⇑ bond ⇓or⇒ bond BasisN.B. trading × ×
N.B. trading with positive basis × × ⊕Hedging × ×
Naked long ×Synthetic bonds × ⊕
Outright ×
CRC649 Conference
07.2014 15/25
General Literature Strategy definitions Data Strategies
Data source
Data:• Top 100 U.S. fixed income funds measured by their TNA.Sample period is from 2004Q3 to 2010Q4. Sample extensionin progress.
• CDS data from SEC filings, including NQ and NCSR filings.45100 issue level CDS observations.
• Portfolio holdings data from MorningStar.• Manager characteristics data from Bloomberg.• CDS spread, bond spread(z and ASW) and CDS basis fromBloomberg and Datastream.
• Fund level data from CRSP.
CRC649 Conference
07.2014 16/25
General Literature Strategy definitions Data Strategies
Data source
(a) Total CDS notional, 2004-2010 (b) Separated by long and short posi-tions
Figure: Time series of CDS notional
Descriptive stats:
CRC649 Conference
07.2014 17/25
General Literature Strategy definitions Data Strategies
Data source
Figure: The time varying distribution of CDS basis
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07.2014 18/25
General Literature Strategy definitions Data Strategies
Data source
Figure: CDS basis v.s. credit spread
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07.2014 19/25
General Literature Strategy definitions Data Strategies
It is natural to first look at the changes of CDS positions.Whenever there is a change in CDS, we can decide on what is themotivation:• We base all our analysis on issuer level. So that our 45100issue level observations are collapsed to 15575 issuer levelobservations.
• In total we have 5100 issuer level CDS position changes, out ofthe 12407 issuer level single name observations.
CDS position changes Case countIncreasing long 1824Increasing short 2153Decreasing long 340Decreasing short 783
CRC649 Conference
07.2014 20/25
General Literature Strategy definitions Data Strategies
Apply the above strategy definitions we would have:
CDS position changes Case count Strategies Case count
Increasing long 1824Negative basis trade 511
N.B. with positive basis 18Hedging 262 (Overhedging 96)
Speculation_naked long 941
Increasing short 2153Synthetic bond 903
Speculation_short 1550 (outright 822)Decreasing long 340Decreasing short 783
Table: 0 basis point cutoff, quarter min max basis values, long and shortseparately
We conducted sensitivity analysis using different basis cutoff,quarter end or quarter min/max basis values, and before/afternetting CDS notional, the results are not changing much.
CRC649 Conference
07.2014 21/25
General Literature Strategy definitions Data Strategies
Now we can take a look at the time series variation of the abovementioned strategies:
(a) N.B. trades (b) Hedging (c) Naked long
Figure: Time series of CDS strategies
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07.2014 22/25
General Literature Strategy definitions Data Strategies
(a) Synthetic bonds (b) Outright
Figure: Time series of CDS strategies ctd.
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07.2014 23/25
General Literature Strategy definitions Data Strategies
Descriptives
Variable Mean SD Min p25 p50 p75 MaxTNA($mil) 5778 11912 325 1240 2253 5921 92875
Big fund family(dummy) 0.729 0.445 0.000 0.000 1.000 1.000 1.000Fund age 23 10 6 16 21 30 75
Expense ratio 0.772 0.343 0.133 0.550 0.731 1.061 1.678Turnover ratio 1.436 1.507 0.153 0.491 0.819 1.840 8.944
Share of institutional investors 0.335 0.380 0.000 0.011 0.139 0.731 1.000Monthly fund flow -0.001 0.013 -0.041 -0.010 -0.002 0.007 0.038Team(dummy) 0.672 0.443 0.000 0.000 1.000 1.000 1.000Female(dummy) 0.147 0.354 0.000 0.000 0.000 0.000 1.000Net cash ratio 8.734 12.952 -43.375 3.558 7.130 11.359 61.350
Morningstar rating 3.350 0.899 1.000 2.850 3.200 4.000 5.000
Table: Fund summary stats
CRC649 Conference
07.2014 24/25
General Literature Strategy definitions Data Strategies
Descriptives
Position No. of contracts CDS on corporates CDS on sovereigns CDS on multi-namesLong and short CDS 45100 27551(61%) 4124(9%) 13501(30%)
Long CDS 14766(32.68%) 10028(22%) 430(0.096%) 4236(9.6%)Short CDS 30486(67.47%) 17484(39%) 3691(8%) 9239(20.4%)Position Notional amount CDS on corporates CDS on sovereigns CDS on multi-names
Long and short CDS 590084 249557(42%) 77898(13%) 262607(44.5%)Long CDS 157263(26.65%) 79643(13.5%) 4457(0.8%) 73151(12.4%)Short CDS 432545(73.3%) 169795(28.8%) 73415(12.5%) 189327(32.08%)
Table: CDS summary stats
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CRC649 Conference
07.2014 25/25