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    CREDIT DEFAULT SWAPTIONS

    Alan L. Tucker, Ph.D. 1 Associate Professor of Finance

    Lubin School of BusinessPace University

    Jason Z. WeiAssociate Professor of FinanceRotman School of Management

    University of Toronto

    April 26, 2005

    1Contact author: Alan L. Tucker, Department of Finance, Lubin School of Business, Pace University, 1Pace Plaza, New York, NY 10038, 212-618-6524 (voice), 212-346-1673 (fax), [email protected] .

    mailto:[email protected]:[email protected]
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    CREDIT DEFAULT SWAPTIONS

    Abstract

    Credit derivatives were arguably invented by Bankers Trust (now part of Deutsche Bank)in 1991, with the product market not taking off until 1996 due to a period of tight creditspreads and generally favorable credit market conditions witnessed during the first half ofthe 1990s. Product education, advances in pricing, and more adverse credit events duringthe last decade have served to accelerate market growth. Indeed, the credit derivativesmarket is widely regarded as the fastest growing sector of the derivatives industry andnow exhibits over $5 trillion in average outstanding notional principal worldwide. Creditdefault swaps (CDSs) account for approximately 72.5% of the marketplace, with theremaining 27.5% spread mostly across credit spread swaps, total rate of return swaps, andcredit spread options. Options on credit default swaps known as CDS swaptions have

    only recently become popular among end users. CDS swaptions come in two generalvarieties: Calls and puts written on CDSs, and cancelable CDSs. A cancelable CDScontains an embedded option to terminate an existing CDS (an embedded CDSswaption). This paper describes credit default swaptions, provides illustrations of theiruses, for example, in creating synthetic collateralized debt obligations, and presents andillustrates valuation models. The pricing models offered here are more accessible thanthose presented in the working papers of Sch nbucher (2000), Jamshidian (2002) and

    Schmidt (2004).

    Keywords: Credit default swaps, swaptions, option pricing

    JEL Classifications: G13

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    CREDIT DEFAULT SWAPTIONS

    1. Introduction

    Credit derivatives have been traded since 1991 and credit default swaps (CDSs) account

    for the vast majority of trading. Only recently have end users begun to take interest in

    options on CDSs. Analogous to interest rate swaptions for the interest rate marketplace,

    credit default swaptions represent a potentially important derivative product for credit

    markets. Indeed, a CDS that is cancelable contains an embedded credit default swaption.

    A cancelable long CDS position (where long means that the CDS trader is paying a

    fixed swap rate and is thus the buyer of credit protection) is simply a package of a

    straight (read non-cancelable) long CDS plus a put-style CDS swaption an option to

    enter a CDS short and thus close the already outstanding long position. 2 A cancelable

    short CDS represents a combination of a short position in a straight CDS plus a call-style

    CDS swaption. To the extent that existing CDSs are cancelable and most are in

    practice then ignoring the value of the embedded CDS swaption can lead to pricing

    errors and thus arbitrage opportunities. 3 In fact, we opine that methods used to establish

    initial swap rates on cancelable CDSs, as well as methods used to value seasoned CDSs

    2 See, for example, Hull (2003, Chapter 27), for a discussion of straight credit default swaps.3 CDSs are commonly cancelable because they are written on a particular reference credit asset, forexample, a junk bond. To reverse-trade a CDS without an embedded option to cancel, the trader wouldhave to find another counterparty willing to execute a CDS on the particular reference credit asset. This is

    plausible, but may not be realistic depending on the nature (read liquidity) of said asset. This contrastswith say, an interest rate swap, wherein a trader can readily reverse trade and close an outstanding position

    because the underlying is a generic variable, for example, the s.a. $LIBOR.

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    that are cancelable, typically ignore the embedded swaption to terminate the position, and

    thus these CDSs may be mis-priced. 4

    The purpose of this paper is three-fold: to describe CDS swaptions; to illustrate some of

    their applications; and, most importantly, to present valuation models which are

    accessible to the reader. Sections 2, 3 and 4 address these goals, respectively. Section 5

    offers a brief conclusion and suggestions for future research.

    2. Product description We describe CDS swaptions through an example. Assume that all counter parties

    (dealers and buy side) are AA-rated, either because they are already AA-rated or because

    they have been credit enhanced to AA through collateral agreements, mid-market

    agreements, netting agreements, and other well known credit enhancement techniques.

    Assume that the CDS which underlies the swaption has a 3-year maturity, semi-annual

    payment dates, and a swap rate (the strike rate on the swaption) of 150 basis points (bps).

    The strike rate assumes semi-annual compounding the same periodicity (or tenor) of the

    CDS. The credit default swaps underlying reference credit asset is a BB-rated 10-year,

    8%-coupon bond with $100 million par. The CDS swaption is a call, European-style,

    with a maturity of 6 months. Thus the CDS swaption owner has the right, in 6 months, to

    enter the underlying CDS long, that is, paying 150 bps.

    Suppose that in 6 months, when the swaption matures, the bid-offer swap rates on newly-

    minted 3-year credit default swaps (with semi-annual tenors) on the same reference

    4 However, see the discussion below regarding pari passu assets.

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    credit asset (or pari passu asset) are 200 bps by 220 bps. 5 So, the underlying bond has

    exhibited credit deterioration, for example, having been downgraded to a weak single B.

    The call swaption is exercised, meaning that its owner can now long the same swap

    paying just 150 bps. By engaging in a reversing trade, that is, entering a short CDS, the

    swaption owner locks into an annuity of 50 bps (the bid of 200 bps less the strike rate of

    150 bps) on $50 million for the next 6 semi-annual periods. This annuity is present

    valued (monetized) at the interest rate swap mid-rate on a newly-minted 3-year

    seminal annual (s.a.) $LIBOR swap since both counter parties are AA-rated.

    If the swaption is a put and at expiry newly-minted CDS rates are 100 bps by 110 bps

    (perhaps because the bond is now a weak single A), then the payoff to the CDS swaption

    would be the present value (again, discounted at the 3-year interest rate swap mid-rate) of

    six annuity payments of $50 million times 40 bps (the strike rate of 150 bps less the offer

    of 110 bps). 6

    CDS swaptions that are traded outright are likely to be European-style. However, a

    cancelable CDS will contain either an American- or, more likely, Bermudian-style

    5 Commonly, a CDS that is physically settled requires the long trader to deliver (read transfer ownership)to the short the reference credit asset, or an equivalent asset known as a pari passu asset. The short traderthen pays the long the face value of the reference credit asset (the notional on the CDS). A cash-settledCDS entails the short trader paying the long the difference between the face value and the post-defaultvalue of the reference credit asset, where said value is determined by a calculation agent. The agent

    typically ascribes a value by taking the mean of the bid and offer prices quoted by dealers of the referencecredit asset. CDS dealers tend to prefer physical settlement in order to work the reference credit asset,that is, because they feel they can obtain better value than indicated by the calculation agent. Importantly,notice that the ability to trade pari passu assets, and other CDSs on pari passu assets, tends to mitigate thevalue of the embedded swaption to terminate an existing CDS. In other words, to trade pari passu assetsserves to give the CDS greater secondary market liquidity, a la an interest rate swap written on a genericreference rate such as seminal annual $LIBOR.6 In these illustrations we ignore the day count convention, that is, we assume that markets operatecontinually and time can be carved into perfect one-half year intervals. The usual day count conventionfor a CDS or CDS swaption is Actual/360.

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    swaption. For example, consider a long CDS giving the buyer of credit protection the

    option to terminate the swap every six months. Assume that the CDSs underlying

    reference credit asset is unique, illiquid, and has no pari passu substitutes. Then this

    CDS represents a package of a straight CDS plus a potentially valuable Bermudian-style

    put swaption the ability to short the CDS, at six-month intervals, thus closing the

    original long position.

    Besides plain-vanilla CDS swaptions whether they are American, Bermudian,

    European, calls, puts, outright, or embedded in cancelable CDSs there can exist ofcourse a variety of more exotic CDS swaptions. For instance, there can be swaptions

    written on binary and basket CDSs. There can be barrier CDS swaptions. And so on. It

    should be interesting to witness changes in the market for CDS swaptions per se as the

    market for credit derivatives in general continues to grow and re-invent.

    2.1. Default-triggering exercise for outright European-style CDS call swaptions

    Suppose that the reference credit asset (our 8%-coupon bond) has a default-triggering

    event (such as a missed coupon date) prior to the 6-month maturity of the swaption. This

    would have the effect of terminating the CDS (physical or cash settlement), and therefore

    presents the problem of having a CDS swaption with no existing underlying. If the CDS

    swaption is a put, then the issue is moot; the put swaption owner would not want to

    exercise, because the credit spread on the defaulted bond would presumably explode to

    something well above the original (150 bps) strike rate. However, the call swaption

    owner would want to exercise. The call owner therefore needs a mechanism to capture

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    value. Hence, European-style CDS call swaptions contain legalese that permits for early

    exercise in the event that the reference credit asset exhibits a default-triggering event

    prior to the maturity of the CDS swaption. 7

    In the event that the CDS call swaption is exercised early due to default of the reference

    credit asset, then the swaption owner should be required to make a payment to the writer.

    Said payment represents a type of premium accrual on a default insurance policy written

    on the reference credit asset. For example, for our illustration, if at inception of the

    swaption there exists a 6-month bond insurance policy that pays the difference betweenthe face value and the recovery value of the bond, and said policy has a cost of 10 bps of

    face value, then, assuming that the reference credit asset defaults mid-way through the

    life of the swaption (and ignoring day count conventions), the CDS call swaption owner

    would be required to pay 5 bps of $100 million. 8

    Note that the existence of a pari passu provision on the underlying CDS does not obviate

    the need for the call swaption owner to exercise in the event of the default of the

    reference credit asset. Finally, note that the matter addressed here does not affect

    cancelable CDSs. A default-triggering event terminates the CDS and therefore the

    embedded option to cancel the CDS.

    7 This is, of course, different than implying that the CDS call swaption is American-style. An American-style (or Bermudian-style) call swaption could be exercised prematurely for reasons other than thetermination of the underlying CDS occasioned by the default of the CDSs reference credit asset.

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    3. Product application

    To illustrate the use of CDS swaptions, let us consider three product applications: to

    reduce a banks regulatory capital; to create a synthetic credit-linked note; and to create a

    synthetic collateralized debt obligation.

    3.1. Reducing bank regulatory capital

    Suppose that a bank is carrying a large number of commercial loans which in turn is

    stretching the banks regulatory capital. The bank cannot sell all of the loans becausemost are not assignable. The bank needs to reduce its regulatory capital requirements. It

    can sell one loan and use the proceeds to purchase a call-style credit default swaption

    where the underlying reference credit asset is a portfolio of the remaining loans (or a

    highly correlated basket thereof). By purchasing this basket CDS call swaption, the bank

    should obtain regulatory capital relief in a manner analogous to being long a basket CDS.

    Of course, the principle advantage of buying the CDS call swaption (versus entering a

    long position in a basket CDS) is the returns earned on the loans should their credit

    quality improve; the principle disadvantage of the swaption vis--vis the basket CDS is

    the cost of the former.

    3.2. Creating a synthetic credit-linked note

    Suppose that a hedge fund buys a 4-year floating-rate note issued by a highly rated bank

    sponsor. The note pays s.a. $LIBOR plus 5 bps. The fund manager can enhance the

    8 Presumably, the bond insurance price of 10 bps would be provided by a traditional bond insurancecompany such as CapMac/MBIA.

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    coupon to s.a. $LIBOR plus 45 bps if she agrees to bear the default risk associated with

    an altogether different bond (in addition to the credit risk of the note she is buying). This

    is a common credit-linked note (and a common way that dealers lay off their credit risk

    from engaging in short CDS positions). Instead, the manager can effectively enhance the

    coupon on the note by writing a put-style CDS swaption on the same/second bond. By

    purchasing the floating-rate note and writing the put CDS swaption, the hedge fund

    manager is long a synthetic credit-linked note.

    3.3. Creating a synthetic collateralized debt obligation Suppose that an asset manager wants to create a synthetic collateralized debt obligation

    (CDO), so he issues/sponsors a CDO (through a special purpose vehicle) with four debt

    tranches and one equity tranche. The total issuance is for $200 million. Of this, $175

    million represents the debt tranches and $25 million represents the equity tranche, which

    the sponsor keeps. The $200 million is then invested in high quality agency securities.

    The manager then shorts a CDS (as a credit protection seller) on 20 different high yield

    bonds with an average notional principal of $10 million each. For writing these credit

    default swaps the CDO will receive an average of 520 bps per year. The average yield on

    the agency bonds held is 4.41%. Thus, with the pick up of 5.20%, the synthetic high

    yield assets are yielding 9.61%.

    Suppose further that the funding costs (the debt tranches of the CDO) have an average

    yield of 5.63%. The manager wins if the losses from default are less than 398 bps per

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    annum. The losses will be determined by the number and sizes of the high yield bonds

    that default and the recovery rates on those defaulted bonds.

    The former represents the typical way to create a synthetic CDO. The CDO is said to be

    synthetic because the yield enhancement (on the agency bonds) is occasioned by

    shorting CDSs, rather than holding junk bonds. But instead of shorting CDSs, the

    sponsor could write a call-style CDS swaption where the underlying CDS references the

    same basket of high yield bonds. In other words, buying agency bonds and writing CDS

    call swaptions presents an alternative means of creating a synthetic CDO.

    4. Pricing CDS swaptions

    In this section we first address the pricing of European-style CDS swaptions. A

    discussion of how to obtain the two critical model inputs the forward CDS swap rate

    and the forward volatility is presented. We then illustrate the valuation of Bermudian-

    style CDS swaptions (with a parallel discussion of American-style CDS swaption

    pricing). The reader should note that extant valuation models for CDS swaptions appear

    in three working papers: Sch nbucher (2000), Jamshidian (2002) and Schmidt (2004).

    However, we humbly opine that the modeling presented in these papers is unnecessarily,

    overly complex, and beyond the comprehension of all but the most mathematically

    inclined. We hope that the following presentation is more accessible to the reader.

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    4.1. European-style CDS swaption pricing

    If it is assumed that the forward credit default swap mid-rate (the one that prevails for the

    reference credit asset at the time of exercise of the European-style CDS swaption) is

    lognormal, then European-style CDS swaptions can be priced using a straightforward

    modification of Blacks (1976) model. 9 In short, the CDS swaption can be priced using a

    model that is analogous to the pricing of interest rate swaptions.

    Begin by defining the following variables:

    R 0 = the relevant forward CDS swap rate, expressed with compounding of m periods per annum, at time 0. In our illustration (see Section 2), this would be the

    CDS swap rate, expected to prevail in 6 months and for 3 years, for the reference

    credit asset (here a BB-rated, 8%-coupon, 10-year bond);

    R K = the strike rate on the CDS swaption, also expressed with compounding of m

    periods per annum. In our illustration, this is 150 bps;

    T = the maturity of the CDS swaption. In our illustration, this is 0.50 (6 months);

    = the standard deviation of the change in the natural logarithm of R 0, i.e., the

    forward vol;

    n = the maturity of the underlying CDS. In our example, this is 3 years;

    m = the periodicity (or tenor) of the underlying CDS. In our example, this is 2

    (semi-annual payments);

    9 Another possibility here is to assume that the credit spread follows a process that is analogous to theinterest rate process found in the LIBOR market model of Brace et al (1997), Jamshidian (1997), andMiltersen et al (1997). Here an analytic approximation for the pricing of European-style credit defaultswaptions may exist. This is a subject worthy of future research. Hull and White (2000) derived ananalytic approximation for the pricing of European-style interest rate swaptions where the swaps referenceinterest rate was described by the LIBOR market model.

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    e(-0.03 x 1.0) + e (-0.03 x 1.5) + e (-0.03 x 2.0) + e (-0.03 x 2.5) + e (-0.03 x 3.0) ] = 2.785295. d 1 =

    [ln(0.015/0.015) + (0.12) 2(0.50)/2]/(0.12) 0.50] = 0.04246. d 2 = 0.04246 (0.12) 0.50 =

    -0.04239. N(0.04246) = 0.51696, and N(-0.04239) = 0.48307. Finally, C E = $141,590.

    The value of the corresponding put is the same, that is, P E = $141,590, since both are

    struck at-the-money.

    It is interesting to note that a long (short) position in a CDS call swaption combined with

    a short (long) position in a corresponding CDS put swaption creates a synthetic long

    (short) forward-starting CDS (starting at time T and with swap rate R K ). This in turnimplies that combinations of CDS swaptions can be used just like CDSs can be used

    to infer default rates and recovery rates for their underlying reference credit assets. 11

    4.2. On obtaining R 0 and

    The critical inputs to CDS swaption valuation are of course the relevant forward CDS

    swap rate R 0 and the forward vol . Regarding the former, one can readily compute the

    forward CDS swap rate if there exists a CDS swap curve for reference credit (or pari

    passu ) asset. The methodology is completely analogous to obtaining a forward interest

    rate swap rate from an interest rate swap curve. In practice, a term structure of CDS

    swap rates normally exists. For example, in January 2001, that is, prior to its problems,

    Enrons rating was Baa1 (Moodys) and the bid-offer mid-rates on Enron 3-, 5-, 7-, and

    10-year credit default swaps were 115 bps, 125 bps, 137 bps, 207 bps, respectively.

    11 See Hull (2003) beginning at page 641.

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    Unfortunately, the need for a no-arbitrage term structure model of credit default swap

    rates has the effect of making the pricing of American- and Bermudian-style swaptions

    extremely complicated at best. To invoke an analogy, consider the popularly-traded

    Bermudian-style interest rate swaption. It permits the swaption owner to exercise on the

    net payment dates. Most professional traders of this product employ a one-factor no-

    arbitrage interest rate term structure model for pricing. While some experts have argued

    that such an approach is prudent [Andersen and Andreasan (2001)], others contend that it

    leads to substantial pricing error [Longstaff, Santa-Clara and Schwartz (2001)]. The pricing of American- and European-style CDS swaptions is no less complicated, and

    controversial.

    Some solace can be taken in the fact that end-user demand for CDS swaptions is heavily

    concentrated in the European-style. And for cancelable CDSs, the value of the embedded

    American- or Bermudian-style option to terminate is largely minimized, or completely

    eliminated, if the underlying reference credit asset, or a pari passu asset, is liquid

    (thereby permitting a trader in a CDS to close the position by executing a

    reversing/opposite trade in a new CDS written on the same or pari passu asset).

    Still, one is left with the issue of how to go about pricing American- and Bermudian-style

    CDS swaptions when the necessity arises. In subsection 4.4 below, we impart the pricing

    of these products in a simplified setting, namely where there is a one-factor credit spread

    term structure model. Then, in subsection 4.5, we suggest that the pricing of American-

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    and Bermudian-style CDS swaptions is probably best tackled using a richer credit spread

    term structure model in conjunction with a Monte Carlo simulation valuation approach.

    4.4. A one-factor model approach

    The material presented in this subsection is mainly for pedagogical purposes. It is

    designed to give the reader a sense of the complexity of pricing American- and

    Bermudian-style CDS swaptions. And, in particular, how their prices are dependent on

    the evolution of the credit spread term structure as well as the volatility of credit spreads.

    The one-factor model of credit spreads invoked here is itself rather simple. In continuous

    time, the one factor would be the instantaneous credit spread. The model does not permit

    mean-reversion in the credit spread. 13 It assumes a flat credit spread volatility term

    structure; that is, all credit spreads whether short-dated or long-dated have the same

    volatility. 14 And as a one-factor model, it does not permit the possibility of short-term

    and long-term credit spreads moving in opposite directions contemporaneously (a credit

    spread twist). Still, the model does permit the credit spread term structure to shift in

    non-parallel ways, and it accommodates a level effect whereby the volatility of credit

    spreads increases (decreases) with a rise (fall) in credit spreads which tends to be true.

    We examine a discrete-time version of the model where a time increment is equal to 0.5

    years. Thus the one factor is the six-month credit spread. The reference credit assets are

    13 If each yield comprising the credit spread is itself mean reverting, then, by definition, the credit spreaditself will be mean reverting, but probably at a much slower rate. So the degree of mean reversion may benominal.14 In reality, it is probable that shorter-term credit spreads are more volatile than longer-term credit spreads.

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    a series of risky, high-yield bonds, for instance, emerging market bonds. Given the credit

    quality of the bonds issuer, suppose that the bonds current (time 0) credit spreads (out to

    two years) are 554 basis points (bps) for a 0.5-year maturity, 545 bps for a 1.0-year

    maturity, 547 bps for a 1.5-year maturity, and 550 bps for a 2.0-year maturity. These

    four credit spreads represent our relevant credit spread term structure. These rates are

    expressed with semi-annual compounding and already have been purged of any

    contaminating factors; for example, the effects on yields and thereby credit spreads of

    any embedded options in the reference credit assets have been controlled via an

    application of option-adjusted spread analysis.

    In our model the change in the short-term/six-month/one-factor credit spread is given by

    the multiplicative term

    emh h (3)

    Where h represents a time increment, represents the volatility of the credit spread (the

    standard deviation of the percentage change in the natural logarithm of the credit spread),

    and m represents a drift term (or mean). Equation (3) obviously implies a recombining

    binomial framework wherein the one factor the short-term credit spread and therefore

    the entire credit spread term structure, can move up or down after a discrete increment of

    time (h). Here h = 0.5. We will assume that = 0.17. That is, the volatility of the credit

    spread (of any maturity) is 17% per annum a high volatility accompanying a substantial

    average credit spread (due to the level effect). The drift terms m 1, m2, m3 and m 4 are

    non-stochastic but can change each period. These terms are parameterized by forcing the

    model to fit the current credit spread term structure (a no-arbitrage approach). When

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    doing so, we also force the risk-neutral probabilities of the up jumps (and down jumps) in

    the single factor (and therefore entire credit spread term structure) to be 50%.

    Given our initial credit spread term structure (0.5-year, 554 bps; 1.0-year, 545 bps; 1.5-

    year, 547 bps; 2.0-year, 550 bps), we have the following values for m: m1 = -0.0797, m2

    = 0.0422, m3 = 0.0169, and m 4 = 0.0015. These values are obtained via no arbitrage

    arguments. For example, m 1 is calculated from

    ( )( )

    .12/0554.01

    2/0545.0120554.0][5.0

    25.017.05.05.017.05.0 11

    ++=+ + mm ee

    We also have the resulting tree of credit spread term structures for our high-yield,

    emerging market bonds (Figure 1 below). In this tree, the top number in each node

    represents the prevailing (at time 0) or subsequently prevailing (depending on the jump in

    the term structure) 0.5-year credit spread; the second number (if it exists) represents the

    prevailing or subsequently prevailing 1.0-year credit spread; the third number (if it exists)

    represents the prevailing or subsequently prevailing 1.5-year credit spread; and the fourth

    number at time 0 is the current 2.0-year credit spread. Again, the probabilities of the

    upward and downward movements in the term structure illustrated above are 50% each.

    Figure 1. Tree of credit spread term structures

    Time 0 Time 0.5 Time 1.0 Time 1.5

    7.864%6.915%

    6.004% 6.968%6.089% 6.184%6.147%

    5.54% 5.437%5.45% 5.479%5.47%

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    5.50% 4.721% 4.862%4.788%4.834% 4.275%

    4.308%3.823%

    Armed with the above tree of credit spread term structures, we are prepared to value a

    Bermudian-style CDS swaption where exercise is permitted every six months. 15

    Illustration. Consider a Bermudian-style CDS put swaption with two-year maturity and

    strike rate 550 bps (with semi-annual compounding), where the underlying is anoriginally two-year CDS entailing $100 million face value of our reference credit asset

    having 2-year maturity. In other words, the CDS swaption permits its owner every six

    months for two years to opt to be a seller of credit protection and to receive 5.50% s.a.,

    until year 2. As such, the swaption grants the right to short the CDS for zero, or, in other

    words, enter a short position in the CDS (receiving 5.5% s.a. and paying an amount

    contingent upon default of the 2-year emerging market bond) at no cost.

    For simplicity, assume that the relevant interest rate curve (used for discounting all cash

    flows) is flat at 3% s.a., and so every forward rate is also 3% s.a. and each expected six-

    month discounting factor (d 0.5) is 1/[1 + (0.03/2)] = 0.9852. In addition, assume that the

    volatility of each forward rate is zero. Obviously, this latter assumption is unrealistic. It

    is not invoked to suggest, in any way, that credit spreads and credit risk-free (or nearly

    15 To value a Bermudian-style CDS swaption with a different exercise periodicity (e.g., quarterly), then onewould need to change the value of h (e.g., to 0.25) and to address all that said change occasions. In order tovalue an American-style CDS swaption one of course would need to permit h to be much smaller, e.g., asingle trading day, in order to frequently test for early exercise and thus obtain an accurate price.

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    credit risk-free) interest rates are zero correlated, or that the volatility of credit spreads is

    not possibly correlated with the level of credit risk-free (or nearly credit risk-free) interest

    rates. Rather, this assumption is invoked purely for pedagogical reasons. As we will see

    shortly, pricing CDS swaptions is tedious enough under this simplifying assumption.

    Relaxing the assumption is discussed more in the following subsection (4.5). This

    assumption does of course imply that the actual yields (as opposed to credit spreads per

    se) on the issuers bonds again where said yields already have been purged of any

    contaminating factors such as embedded options are 8.54% for 0.5-year, 8.45% for 1.0-

    year, and so on.16

    Given the binomial term structure environment depicted above, we have the following

    values (in $millions) for a short position in the underlying CDS:

    Figure 2. Tree of values for a short CDS ($Millions)

    Time 0 Time 0.5 Time 1.0 Time 1.5

    uuu-1.1645

    uu-1.3867

    u uud-0.9377 -0.3369

    ud+0.0019 +0.0210

    d udd

    16 An important reminder is now imparted. Namely, when a typical counter party on a CDS sells credit protection, the reference credit asset is not credit enhanced to Treasury. Rather, it is only enhanced to thecredit quality of the seller of credit protection. Due to netting agreements, collateral agreements, mid-market agreements, and other standard credit protection provisions found in the over-the-counterderivatives industry, the credit spread on the reference credit asset should therefore reflect the spread

    between said assets yield (again, adjusted for the influences of factors such as embedded options) and thecomparable-maturity interest rate swap rate not the Treasury rate. In our example, 3% s.a. flat thereforereflects the assumed shape of the $LIBOR swap curve.

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    +0.9727 +0.1595dd+1.4552

    ddd+0.4193

    How were the values of the short CDS computed in Figure 2? The intuition is

    straightforward enough: Assume that at any node, the short CDS party can reverse trade

    by entering a long CDS position, and therefore lock-in an annuity of future inflows (or

    outflows) to be discounted at (here) 3% s.a. (the zero-volatility forward swap rate). The

    annuity itself is given by the difference between the original CDS rate (here 5.50% s.a.)and the new rate, times one-half of $100 million. (Here we omit consideration of bid-

    offer spreads.) The new rate is the appropriate swap rate on the new/long CDS. The

    length of the annuity is obvious the remaining maturity of the original CDS or,

    equivalently, the maturity of the new/long CDS.

    So, how then is the new swap rate determined? This is rather straightforward too (in our

    environment). For example, at time 1.5 in the up- up- up-state (uuu), the new credit

    spread is 7.864%. Since at this time mark there is just one more period remaining to the

    original swap, the reversing trade would entail assuming a long position in a 0.5-year

    CDS whose correct swap mid-rate clearly must be 7.864%. (It is correct in the sense of

    ensuring that the new CDS has zero initial value, that is, is at-market, at this node. The

    present value of the netted fixed and expected contingent (upon default of the reference

    credit asset) payments is zero.) And so the short CDS is valued at (5.50% -

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    7.864%)($50MM)(0.9852) = -$1.1645MM. The same procedure gives us the values

    presented in nodes uud, udd, and ddd of Figure 2.

    Now consider an interior node like ud in Figure 2: Here we have a credit spread term

    structure (from Figure 1) of 5.437% (0.5-year) and 5.479% (1.0-year). These rates imply

    discount factors of d 0.5 = 0.9735 and d 1.0 = 0.9474. The par rate occasioned by these rates

    - which is the same as the yield-to-maturity implied by these rates, which is also the

    correct CDS swap rate - is: Par rate = 2(1 0.9474)/(0.9735 + 0.9474) = 0.05478. Thus

    the value of the short CDS in node ud of Figure 2 is given by two payments of (5.50% -5.478%)($50MM), each discounted at 3% s.a. for a total of $0.021MM. The other values

    (at nodes uu, dd, u, d, and at time-0) found in Figure 2 are calculated in an analogous

    fashion. 17

    Given the values of the short CDS position depicted in Figure 2, we can now compute the

    four possible put swaption values at time 1.5. This is first time point necessary to value

    the put swaption in our illustration (because the underlying CDS expires at the same time

    of the swaption, and so the last time that any exercise would occur is at the 1.5-year time

    mark):

    Figure 3. Put swaption at time 1.5 ($Millions)

    Short CDS Put SwaptionTime 1.5 Time 1.5

    -1.1645 Max[ 1.1645,0] = 0

    17 Note that the time-0 value of the short CDS in our illustration is not quite zero. It is $1,900. The at-market swap rate is slightly lower than 5.50% s.a. It is 5.499% s.a.

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    -0.3369 Max[ 0.3369,0] = 0

    +0.1595 Max[+0.1595,0] = 0.1595

    +0.4193 Max[+0.4193,0] = 0.4193

    We next need to compute the three possible put swaption values at the 1.0-year time

    mark, while checking for the prospect of early exercise (Figure 4). This entails

    comparing the wait value (if any) to the early exercise value and entering in each node

    the greater of the two values.

    Figure 4. Put swaption at time 1.0 ($Millions)Short CDS Put SwaptionTime 1.0 Time 1.0 Time 1.5

    0Exercise value < 0

    -1.3867 Wait value = 0Swaption value = 0

    0Exercise value = 0.0210

    +0.0210 Wait value = [0.5(0 + 0.1595)](0.9852)Swaption value = 0.0786

    0.1595Exercise value = 1.4552

    +1.4552 Wait value = [0.5(0.1595 + 0.4193)](0.9852)Swaption value = 1.4552

    0.4193

    This process must be repeated at time 0.5 and at time 0 in order to obtain the value of the

    Bermudian-style put swaption. As reflected in Figures 5 (time 0.5) and then 6 (time 0)

    below, the value of the swaption is $498,200 in our illustration.

    Figures 4 through 6 present intuitive results. For example, the put swaption value

    increases, as does the incidence of early exercise, as the credit spread declines (the south-

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    eastern part of the trees). It is then that the swaption owner wants to become the seller of

    credit protection at an attractive premium of 550 bps. Of course, the value of the

    swaption would change (directly) with . And we could readily compute the swaptions

    relevant risk metrics (Delta or DV01, Gamma, and Vega).

    Figure 5. Put swaption at time 0.5 ($Millions)

    Short CDS Put SwaptionTime 0.5 Time 0.5 Time 1.0

    0

    Exercise value < 0-0.9377 Wait value = [0.5(0 + 0.0786)](0.9852)Swaption value = 0.0387

    0.0786Exercise value = 0.9727

    +0.9727 Wait value = [0.5(0.0786 + 1.4552)](0.9852)Swaption value = 0.9727

    1.4552

    Figure 6. Put swaption at time 0 ($Millions)

    Short CDS Put SwaptionTime 0.5 Time 0 Time 0.5

    0.0387Exercise value = 0.0019

    +0.0019 Wait value = [0.5(0.0387 + 0.9727)](0.9852)Swaption value = 0.4982

    0.9727

    4.5. Applying the Jarrow-Lando-Turnbull Model

    A concern about the approach illustrated in subsection 4.4 is that the one-factor model

    utilized is not sufficiently rich; for example, it assumes a flat credit spread volatility term

    structure. To overcome this concern, we suggest the use of a multi-factor version of the

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    Markov model for the term structure of credit spreads as developed by Jarrow, Lando and

    Turnbull (1997). 18 The Jarrow-Lando-Turnbull (JLT) model should be used to capture

    the potential evolution of the credit spread as said model permits for a richer credit spread

    environment.

    To make the JLT model operational in the sense of permitting the possibility of early

    exercise, we suggest using the Monte Carlo method of either Longstaff and Schwartz

    (2001) or Andersen (2000). These methods are ideally suited because they efficiently

    accommodate American- and Bermudian-style options that depend on two or morestochastic variables. (In our context, the LJT model would include a second factor in

    order to accommodate non-constant credit spread volatility.) The Monte Carlo method of

    Longstaff and Schwartz or Andersen should be used in conjunction with a corrective

    procedure (to correct for a sub-optimal exercise boundary) found in Andersen and

    Broadie (2001).

    5. Conclusion

    The explosion in the trading of credit default swaps has recently occasioned a growing

    interest in credit default swaptions. This paper described CDS swaptions, offered some

    illustrations of their application to achieve a variety of financial goals, and presented and

    discussed valuation models. For those deeply interested in CDS swaptions, we humbly

    suggest the following two avenues for future research: implying default probabilities and

    recovery rates for the underlying reference credit assets from the market prices of CDS

    18 A similar credit spread term structure model is presented in Kijima (1998).

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    swaptions; and valuing more complex CDS swaptions such as swaptions written on or

    embedded in binary and basket credit default swaps.

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