In finance, an interest rate swap (IRS) is an interest rate derivative (IRD). It involves exchange of interest rates between two parties. In particular it is a “linear” IRD and one of the most liquid, benchmark products. It has associations with forward rate agreements (FRAs), and with zero coupon swaps (ZCSs).
In its December 2014 statistics release, the Bank for International Settlements reported that interest rate swaps were the largest component of the global OTC derivative market, representing 60%, with the notional amount outstanding in OTC interest rate swaps of $381 trillion, and the gross market value of $14 trillion.^{[1]}
Interest rate swaps can be traded as an index through the FTSE MTIRS Index.
Interest rate swaps
General description
An interest rate swap’s (IRS’s) effective description is a derivative contract, agreed between two counterparties, which specifies the nature of an exchange of payments benchmarked against an interest rate index. The most common IRS is a fixed for floating swap, whereby one party will make payments to the other based on an initially agreed fixed rate of interest, to receive back payments based on a floating interest rate index. Each of these series of payments is termed a “leg”, so a typical IRS has both a fixed and a floating leg. The floating index is commonly an interbank offered rate (IBOR) of specific tenor in the appropriate currency of the IRS, for example LIBOR in GBP, EURIBOR in EUR, or STIBOR in SEK.
To completely determine any IRS a number of parameters must be specified for each leg: ^{[2]}
 the notional principal amount (or varying notional schedule);
 the start and end dates, value, trade and settlement dates, and date scheduling (date rolling);
 the fixed rate (i.e. “swap rate”, sometimes quoted as a “swap spread” over a benchmark);
 the chosen floating interest rate index tenor;
 the day count conventions for interest calculations.
Each currency has its own standard market conventions regarding the frequency of payments, the day count conventions and the endofmonth rule.^{[3]}
Extended description
There are several types of IRS, typically: 

As OTC instruments, interest rate swaps (IRSs) can be customised in a number of ways and can be structured to meet the specific needs of the counterparties. For example: payment dates could be irregular, the notional of the swap could be amortized over time, reset dates (or fixing dates) of the floating rate could be irregular, mandatory break clauses may be inserted into the contract, etc. A common form of customisation is often present in new issue swaps where the fixed leg cashflows are designed to replicate those cashflows received as the coupons on a purchased bond. The interbank market, however, only has a few standardised types.
There is no consensus on the scope of naming convention for different types of IRS. Even a wide description of IRS contracts only includes those whose legs are denominated in the same currency. It is generally accepted that swaps of similar nature whose legs are denominated in different currencies are called cross currency basis swaps. Swaps which are determined on a floating rate index in one currency but whose payments are denominated in another currency are called Quantos.
In traditional interest rate derivative terminology an IRS is a fixed leg versus floating leg derivative contract referencing an IBOR as the floating leg. If the floating leg is redefined to be an overnight index, such as EONIA, SONIA, FFOIS, etc. then this type of swap is generally referred to as an overnight indexed swap (OIS). Some financial literature may classify OISs as a subset of IRSs and other literature may recognise a distinct separation.
Fixed leg versus fixed leg swaps are rare, and generally constitute a form of specialised loan agreement.
Float leg versus float leg swaps are much more common. These are typically termed (single currency) basis swaps (SBSs). The legs on SBSs will necessarily be different interest indexes, such as 1M, LIBOR, 3M LIBOR, 6M LIBOR, SONIA, etc. The pricing of these swaps requires a spread often quoted in basis points to be added to one of the floating legs in order to satisfy value equivalence.
Uses
Interest rate swaps are used to hedge against or speculate on changes in interest rates.
Interest rate swaps are also used speculatively by hedge funds or other investors who expect a change in interest rates or the relationships between them. Traditionally, fixed income investors who expected rates to fall would purchase cash bonds, whose value increased as rates fell. Today, investors with a similar view could enter a floatingforfixed interest rate swap; as rates fall, investors would pay a lower floating rate in exchange for the same fixed rate.
Interest rate swaps are also popular for the arbitrage opportunities they provide. Varying levels of creditworthiness means that there is often a positive quality spread differential that allows both parties to benefit from an interest rate swap.
The interest rate swap market in USD is closely linked to the Eurodollar futures market which trades among others at the Chicago Mercantile Exchange.
Valuation and pricing
IRSs are bespoke financial products whose customisation can include changes to payment dates, notional changes (such as those in amortised IRSs), accrual period adjustment and calculation convention changes (such as a day count convention of 30/360E to ACT/360 or ACT/365).
A vanilla IRS is the term used for standardised IRSs. Typically these will have none of the above customisations, and instead exhibit constant notional throughout, implied payment and accrual dates and benchmark calculation conventions by currency.^{[2]} A vanilla IRS is also characterised by one leg being ‘fixed’ and the second leg ‘floating’ referencing an IBOR index. The net present value (PV) of a vanilla IRS can be computed by determining the PV of each fixed leg and floating leg separately and summing. For pricing a midmarket IRS the underlying principle is that the two legs must have the same value initially; see further under Rational pricing.
Calculating the fixed leg requires discounting all of the known cashflows by an appropriate discount factor:
 {\displaystyle P_{\text{fixed}}=NR\sum _{i=1}^{n_{1}}d_{i}v_{i}}
where {\displaystyle N} is the notional, {\displaystyle R} is the fixed rate, {\displaystyle n_{1}} is the number of payments, {\displaystyle d_{i}} is the decimalised day count fraction of the accrual in the i’th period, and {\displaystyle v_{i}} is the discount factor associated with the payment date of the i’th period.
Calculating the floating leg is a similar process replacing the fixed rate with forecast index rates:
 {\displaystyle P_{\text{float}}=N\sum _{j=1}^{n_{2}}r_{j}d_{j}v_{j}}
where {\displaystyle n_{2}} is the number of payments of the floating leg and {\displaystyle r_{j}} are the forecast IBOR index rates of the appropriate currency.
The PV of the IRS from the perspective of receiving the fixed leg is then:
 {\displaystyle P_{\text{IRS}}=P_{\text{fixed}}P_{\text{float}}}
Historically IRSs were valued using discount factors derived from the same curve used to forecast the IBOR rates. This has been called ‘selfdiscounted’. Some early literature described some incoherence introduced by that approach and multiple banks were using different techniques to reduce them. It became more apparent with the 2007–2012 global financial crisis that the approach was not appropriate, and alignment towards discount factors associated with physical collateral of the IRSs was needed.
Post crisis, to accommodate credit risk, the nowstandard pricing approach is the multicurve framework where forecast IBOR rates and discount factors exhibit disparity. Note that the economic pricing principle is unchanged: leg values are still identical at initiation. See Financial economics § Derivative pricing for further context. Here, Overnight Index Swap (OIS) rates are typically used to derive discount factors, since that index is the standard inclusion on Credit Support Annexes (CSAs) to determine the rate of interest payable on collateral for IRS contracts. As regards the rates forecast, since the basis spread between LIBOR rates of different maturities widened during the crisis, forecast curves are generally constructed for each LIBOR tenor used in floating rate derivative legs.^{[4]}
Regarding the curve build, see: ^{[5]} ^{[6]} ^{[2]} Under the old framework a single self discounted curve was “bootstrapped”, i.e. solved such that it exactly returned the observed prices of selected instruments – IRSs, with FRAs in the short end – with the build proceeding sequentially, datewise, through these instruments. Under the new framework, the various curves are best fitted to observed market prices — as a “curve set” — one curve for discounting, one for each IBORtenor “forecast curve”, and the build is then based on quotes for IRSs and OISs. Here, since the observed average overnight rate is swapped for the IBOR rate over the same period (the most liquid tenor in that market), and the IBOR IRSs are in turn discounted on the OIS curve, the problem entails a nonlinear system, where all curve points are solved at once, and specialized iterative methods are usually employed — very often a modification of Newton’s method. Other tenor’s curves can be solved in a “second stage”, bootstrapstyle.
Under both frameworks, the following apply. (i) Maturities for which rates are solved directly are referred to as “pillar points”, these correspond to the input instrument maturities; other rates are interpolated, often using Hermitic splines. (ii) The objective function: prices must be “exactly” returned, as described. (iii) The penalty function will weigh: that forward rates are positive (to be arbitrage free) and curve “smoothness”; both, in turn, a function of the interpolation method. ^{[7]} ^{[8]} ^{[9]} (iv) The initial estimate: usually, the most recently solved curve set. ((v) All that need be stored are the solved spot rates for the pillars, and the interpolation rule.)
A CSA could allow for collateral, and hence interest payments on that collateral, in any currency.^{[10]} To address this banks include in their curveset, a USD discountcurve — sometimes called the “basiscurve” — to be used for discounting localIBOR trades with USD collateral. This curve is built by solving for observed (marktomarket) crosscurrency swap rates, where the local IBOR is swapped for USD LIBOR with USD collateral as underpin; a presolved (external) USD LIBOR curve is therefore an input into the curve build (the basiscurve may be solved in the “third stage”). Each currency’s curveset will then include a localcurrency discountcurve and its USD discounting basiscurve. As required, a thirdcurrency discount curve — i.e. for local trades collateralized in a currency other than local or USD (or any other combination) — can then be constructed from the localcurrency basiscurve and thirdcurrency basiscurve, combined via an arbitrage relationship known as “FX Forward Invariance”.^{[11]}
The complexities of modern curvesets mean that there may not be discount factors available for a specific IBOR index curve. These curves are known as ‘forecast only’ curves and only contain the information of a forecast IBOR index rate for any future date. Some designs constructed with a discount based methodology mean forecast IBOR index rates are implied by the discount factors inherent to that curve:
 {\displaystyle r_{j}={\frac {1}{d_{j}}}\left({\frac {x_{j1}}{x_{j}}}1\right)} where {\displaystyle x_{i1}} and {\displaystyle x_{i}} are the start and end discount factors associated with the relevant forward curve of a particular IBOR index in a given currency.
To price the midmarket or par rate, {\displaystyle S} of an IRS (defined by the value of fixed rate {\displaystyle R} that gives a net PV of zero), the above formula is rearranged to:
 {\displaystyle S={\frac {\sum _{j=1}^{n_{2}}r_{j}d_{j}v_{j}}{\sum _{i=1}^{n_{1}}d_{i}v_{i}}}}
In the event old methodologies are applied the discount factors {\displaystyle v_{k}} can be replaced with the self discounted values {\displaystyle x_{k}} and the above reduces to:
 {\displaystyle S={\frac {x_{0}x_{n_{2}}}{\sum _{i=1}^{n_{1}}d_{i}x_{i}}}}
In both cases, the PV of a general swap can be expressed exactly with the following intuitive formula:
 {\displaystyle P_{\text{IRS}}=N(RS)A}
where {\displaystyle A} is the socalled Annuity factor {\displaystyle A=\sum _{i=1}^{n_{1}}d_{i}v_{i}} (or {\displaystyle A=\sum _{i=1}^{n_{1}}d_{i}x_{i}} for selfdiscounting). This shows that the PV of an IRS is roughly linear in the swap par rate (though small nonlinearities arise from the codependency of the swap rate with the discount factors in the Annuity sum).
During the life of the swap the same valuation technique is used, but since, over time, both the discounting factors and the forward rates change, the PV of the swap will deviate from its initial value. Therefore, the swap will be an asset to one party and a liability to the other. The way these changes in value are reported is the subject of IAS 39 for jurisdictions following IFRS, and FAS 133 for U.S. GAAP. Swaps are marked to market by debt security traders to visualize their inventory at a certain time. As regards P&L Attribution, and hedging, the new framework adds complexity in that the trader’s position is now potentially affected by numerous instruments not obviously related to the trade in question.
Risks
Interest rate swaps expose users to many different types of financial risk.^{[2]} Predominantly they expose the user to market risks and specifically interest rate risk. The value of an interest rate swap will change as market interest rates rise and fall. In market terminology this is often referred to as delta risk. Interest rate swaps also exhibit gamma risk whereby their delta risk increases or decreases as market interest rates fluctuate. (See Greeks (finance), Value at risk #Computation methods, Value at risk #VaR risk management. )
Other specific types of market risk that interest rate swaps have exposure to are basis risks – where various IBOR tenor indexes can deviate from one another – and reset risks – where the publication of specific tenor IBOR indexes are subject to daily fluctuation.
Uncollateralised interest rate swaps – those executed bilaterally without a CSA in place – expose the trading counterparties to funding risks and credit risks. Funding risks because the value of the swap might deviate to become so negative that it is unaffordable and cannot be funded. Credit risks because the respective counterparty, for whom the value of the swap is positive, will be concerned about the opposing counterparty defaulting on its obligations. Collateralised interest rate swaps, on the other hand, expose the users to collateral risks: here, depending upon the terms of the CSA, the type of posted collateral that is permitted might become more or less expensive due to other extraneous market movements.
Credit and funding risks still exist for collateralised trades but to a much lesser extent. Regardless, due to regulations set out in the Basel III Regulatory Frameworks, trading interest rate derivatives commands a capital usage. The consequence of this is that, dependent upon their specific nature, interest rate swaps might command more capital usage, and this can deviate with market movements. Thus capital risks are another concern for users.
Given these concerns, banks will typically calculate a credit valuation adjustment, as well as other xvaluation adjustments, which then incorporate these risks into the instrument value.
Reputation risks also exist. The misselling of swaps, overexposure of municipalities to derivative contracts, and IBOR manipulation are examples of highprofile cases where trading interest rate swaps has led to a loss of reputation and fines by regulators.
Hedging interest rate swaps can be complicated and relies on numerical processes of well designed risk models to suggest reliable benchmark trades that mitigate all market risks; although, see the discussion above re hedging in a multicurve environment. The other, aforementioned risks must be hedged using other systematic processes.
Quotation and MarketMaking
ICE Swap Rate
ICE Swap rate^{[12]} replaced the rate formerly known as ISDAFIX in 2015. Swap Rate benchmark rates are calculated using eligible prices and volumes for specified interest rate derivative products. The prices are provided by trading venues in accordance with a “Waterfall” Methodology. The first level of the Waterfall (“Level 1”) uses eligible, executable prices and volumes provided by regulated, electronic, trading venues. Multiple, randomised snapshots of market data are taken during a short window before calculation. This enhances the benchmark’s robustness and reliability by protecting against attempted manipulation and temporary aberrations in the underlying market.
MarketMaking
The marketmaking of IRSs is an involved process involving multiple tasks; curve construction with reference to interbank markets, individual derivative contract pricing, risk management of credit, cash and capital. The cross disciplines required include quantitative analysis and mathematical expertise, disciplined and organized approach towards profits and losses, and coherent psychological and subjective assessment of financial market information and pricetaker analysis. The time sensitive nature of markets also creates a pressurized environment. Many tools and techniques have been designed to improve efficiency of marketmaking in a drive to efficiency and consistency.^{[2]}
Controversy
In June 1988 the Audit Commission was tipped off by someone working on the swaps desk of Goldman Sachs that the London Borough of Hammersmith and Fulham had a massive exposure to interest rate swaps. When the commission contacted the council, the chief executive told them not to worry as “everybody knows that interest rates are going to fall”; the treasurer thought the interest rate swaps were a “nice little earner”. The Commission’s Controller, Howard Davies, realised that the council had put all of its positions on interest rates going down and ordered an investigation.
By January 1989 the Commission obtained legal opinions from two Queen’s Counsel. Although they did not agree, the commission preferred the opinion that it was ultra vires for councils to engage in interest rate swaps (ie. that they had no lawful power to do so). Moreover, interest rates had increased from 8% to 15%. The auditor and the commission then went to court and had the contracts declared void (appeals all the way up to the House of Lords failed in Hazell v Hammersmith and Fulham LBC); the five banks involved lost millions of pounds. Many other local authorities had been engaging in interest rate swaps in the 1980s.^{[13]} This resulted in several cases in which the banks generally lost their claims for compound interest on debts to councils, finalised in Westdeutsche Landesbank Girozentrale v Islington London Borough Council.^{[14]} Banks did, however, recover some funds where the derivatives were “in the money” for the Councils (ie, an asset showing a profit for the council, which it now had to return to the bank, not a debt)
The controversy surrounding interest rate swaps reached a peak in the UK during the financial crisis where banks sold unsuitable interest rate hedging products on a large scale to SMEs. The practice has been widely criticised^{[15]} by the media and Parliament.
See also
 Swap rate
 Interest rate cap and floor
 Equity swap
 Total return swap
 Inflation derivative
 Eurodollar
 Constant maturity swap
 FTSE MTIRS Index
Further reading
General:
 Leif B.G. Andersen, Vladimir V. Piterbarg (2010). Interest Rate Modeling in Three Volumes (1st ed. 2010 ed.). Atlantic Financial Press. ISBN 9780984422104. Archived from the original on 20110208.
 J H M Darbyshire (2017). Pricing and Trading Interest Rate Derivatives (2nd ed. 2017 ed.). Aitch and Dee Ltd. ISBN 9780995455528.
 Richard Flavell (2010). Swaps and other derivatives (2nd ed.) Wiley. ISBN 047072191X
 Miron P. & Swannell P. (1991). Pricing and Hedging Swaps, Euromoney books
Early literature on the incoherence of the one curve pricing approach:
 Boenkost W. and Schmidt W. (2004). Cross Currency Swap Valuation, Working Paper 2, HfB – Business School of Finance & Management SSRN preprint.
 Henrard M. (2007). The Irony in the Derivatives Discounting, Wilmott Magazine, pp. 92–98, July 2007. SSRN preprint.
 Tuckman B. and Porfirio P. (2003). Interest Rate Parity, Money Market Basis Swaps and CrossCurrency Basis Swaps, Fixed income liquid markets research, Lehman Brothers
Multicurves framework:
 Bianchetti M. (2010). Two Curves, One Price: Pricing & Hedging Interest Rate Derivatives Decoupling Forwarding and Discounting Yield Curves, Risk Magazine, August 2010. SSRN preprint.
 Henrard M. (2010). The Irony in the Derivatives Discounting Part II: The Crisis, Wilmott Journal, Vol. 2, pp. 301–316, 2010. SSRN preprint.
 Henrard M. (2014) Interest Rate Modelling in the Multicurve Framework: Foundations, Evolution, and Implementation. Palgrave Macmillan. Applied Quantitative Finance series. June 2014. ISBN 9781137374653.
 Kijima M., Tanaka K., and Wong T. (2009). A MultiQuality Model of Interest Rates, Quantitative Finance, pages 133145, 2009.
References
 ^ “OTC derivatives statistics at endDecember 2014” (PDF). Bank for International Settlements.
 ^ Jump up to:^{a} ^{b} ^{c} ^{d} ^{e} Pricing and Trading Interest Rate Derivatives: A Practical Guide to Swaps, J H M Darbyshire, 2017, ISBN 9780995455528
 ^ “Interest Rate Instruments and Market Conventions Guide” Quantitative Research, OpenGamma, 2012.
 ^ MultiCurve Valuation Approaches and their Application to Hedge Accounting according to IAS 39, Dr. Dirk Schubert, KPMG
 ^ M. Henrard (2014). Interest Rate Modelling in the MultiCurve Framework: Foundations, Evolution and Implementation. Palgrave Macmillan ISBN 9781137374653
 ^ See section 3 of Marco Bianchetti and Mattia Carlicchi (2012). Interest Rates after The Credit Crunch: MultipleCurve Vanilla Derivatives and SABR
 ^ P. Hagan and G. West (2006). Interpolation methods for curve construction. Applied Mathematical Finance, 13 (2):89—129, 2006.
 ^ P. Hagan and G. West (2008). Methods for Constructing a Yield Curve. Wilmott Magazine, May, 7081.
 ^ P du Preez and E Maré (2013). Interpolating Yield Curve Data in a Manner That Ensures Positive and Continuous Forward Curves.SAJEMS 16 (2013) No 4:395406
 ^ Fujii, Masaaki Fujii; Yasufumi Shimada; Akihiko Takahashi (26 January 2010). “A Note on Construction of Multiple Swap Curves with and without Collateral”. CARF Working Paper Series No. CARFF154. SSRN 1440633.
 ^ Burgess, Nicholas (2017). FX Forward Invariance & Discounting with CSA Collateral
 ^ ICE Swap Rate. [1]
 ^ Duncan CampbellSmith, “Follow the Money: The Audit Commission, Public Money, and the Management of Public Services 19832008”, Allen Lane, 2008, chapter 6 passim.
 ^ [1996] UKHL 12, [1996] AC 669
 ^ “HM Parliament Condemns RBS GRG’s Parasitic Treatment of SMEs Post date”.
Ofer Abarbanel is a 25 year securities lending broker and expert who has advised many Israeli regulators, among them the Israel Tax Authority, with respect to stock loans, repurchase agreements and credit derivatives. Founder and CEO of TBIL.co STATX Mutual Fund.