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Cash Settled Interest Rate Swap Futures
 Convexity corrections in HJM one factor model


               Gary J. Kennedy

               ClarusFT Consulting


               October 18, 2012
CME Cash Settled Interest Rate Swap Future
   The value of the contract (on a notional of 1) on the last trading
   day, θ, is

                        [0.04/R + (1 − 0.04/R)(1 + R/2)−n ]
             Vθ (R) =
                                     P D (θ, t0 )
   where,
                     m
                     j=1   β k (τj−1 , τj )P D (θ, τj−1 ) − P D (θ, τj )
            Rθ =                      n       D
                                      i=1 ai P (θ, ti )

   P D (t, T ) is the discount factor at time t for a payment at time T ,
   t0 = τ0 is the settlement day, {ti : i = 1, ..., n} are the payment
   dates of the fixed leg of the reference swap, whilst ai denotes the
   accrual period length of the fixed coupon paying at ti . The
   floating leg is characterised by the payment dates
   {τj : j = 1, ..., m}, whilst β k (t, T ) captures the spread between the
   forecast curve and discount curve between t and T .
CME Cash Settled Interest Rate Swap Future



   A more transparent, although less efficient, representation1 is;


                      4%× 1           4%× 1                        1
                                                               4%× 2              (1+4%× 1 )2
                           2
                                 +        2
                                                 2   + ... +            n−1   +              n
                     (1+ 1 R )
                         2           (1+ 1 R )
                                         2                  (1+ 1 R )
                                                                2
                                                                                   (1+ 1 R )
                                                                                       2
          Vθ (R) =
                                                      P(θ, t0 )

   This is similar to the par curve cash settlement method of a
   European swaption.




      1
        The two representations are linked by recognising the sum of a geometric
                                                n
   series, a + ax + ax 2 + ... + ax n−1 = a 1−x .
                                             1−x
ASX Cash Settled Swap Future


   The future is quoted directly in terms of the swap rate R, as 1 − R,
   similar to a Eurodollar future. Yet the final settlement amount and
   variation margin are determined by the price of a notional bond
   future. The value of the future contract on the expiry date is;


                    1       6.5% × (1 − (1 + R/2)−n )
    Vθ (R) =                                          + (1 + R/2)−n
               P D (θ, t0 )            R

   This swap rate to price function has the same structure as the the
   CME future (excepting the coupon rate).
NYSE Liffe SwapNote Future


  Liffe’s SwapNote future is also cash-settled, but based on
  discounting from a swap curve2 . Specifically, the price is the value
  of the fixed leg of a swap with a 6% coupon paid annually on a
  30/360 basis. In this case, θ again is the last trading day, t0 is the
  delivery date, and {ti : i = 1, ..., n} are the notional cashflow dates.
                       n
                                      P D (θ, ti )       P D (θ, tn )
               Vθ =         6% × ai                  +
                                      P D (θ, t0 )       P D (θ, t0 )
                      i=1

  This is similar to the zero curve cash settlement method in
  European swaptions.




     2
      The contract was designed before the two curve pricing world, the swap
  curve assumes the same discount and forecst curve
Preliminaries

   Lemma 1
   Let 0 ≤ t ≤ u ≤ v and u ≤ w . In the HJM one factor model, the
   ratio of two discount bonds is given by;
                                                     u                       u
    P D (u, w )  P D (t, w )                                         1
                = D          ξ(t) exp                    µ(s)dWs −               µ2 (s)ds
    P D (u, v )  P (t, v )                       t                   2   t

   where,

                                            u
       ln ξ(t) = ln ξ(t, u, v , w ) =           ν(s, v ) (ν(s, v ) − ν(s, w )) ds
                                        t

   and µ(s) = ν(s, w ) − ν(s, v )

   Proof.
   See [Ken10, Hen10].
Preliminaries


   In the separable HJM one factor model, the following integrals of
   the model parameters are identifiable in the convexity corrections;

                                        w
                    H(v , w ) :=            h(s)ds
                                    v
                                        t
                       G (t) :=             g (s)ds
                                    0
                                        u
                    K (u, v ) :=            ν(s, v )g (s)ds
                                    0
Preliminaries
   Lemma 2
   Let 0 ≤ t ≤ u ≤ v ≤ ti for i = 1, ..., n. In the separable HJM one
   factor model the ratio of two discount bonds is given by;

                P(u, ti )   P(t, ti )                  1
                          =           ξi (t) exp αi X − αi2
                P(u, v )    P(t, v )                   2

   where,
                       αi2 = H(v , ti )2 [G (u) − G (t)]
   and,
                  ln ξi (t) = H(v , ti ) [K (u, v ) − K (t, v )]
   and, X is a N-normally distributed random variable and is the
   same for all ti .

   Proof.
   See [Ken10].
Main Result

   Theorem 3 (Generic Futures Valuation)
   Let 0 ≤ t < θ ≤ t0 < ti for i = 1, ..., n. Suppose a futures contract
   has a contract value, Vθ , that depends only on a finite number of
   discount factors {P(θ, ti ) : i = 0, ..., n} on the expiry date. In a
   separable HJM one factor model each discount factor can be
   expressed as;

                              P(t, ti )                  1
                P(θ, ti ) =             ξi (t) exp αi X − αi2
                              P(t, θ)                    2

   where, αi2 = H 2 (ti ) [G (θ) − G (t)], ξi (t) = −H(θ, ti )K (θ, θ) and X
   is a normally distributed variable. The future price is given by;
                                 ∞
                                      1    1 2
                       Vt =          √ e − 2 x Vθ (x)dx
                                −∞    2π
Hull-White Parameterisation

   For the Hull-White model, g (t) = σe at , h(s) = e −as ,
   σ(t, u) = σe −a(u−t) and ν(t, u) = σ 1 − e −a(u−t) , in which case,
                                      a
   for a = 0,
                             t
                                                  σ 2 2at
             G (t) =             σ 2 e 2as ds =       e −1
                         0                        2a
                             T
                                                1 −aθ
          H(θ, T ) =             e −as ds =       e   − e −aT
                         θ                      a
                                      θ
                        σ2
          K (θ, T ) =                     e as − e −a(T −2s) ds
                        a         0
                        σ2                  1             1
                    =             e aθ − 1 − e −a(T −2θ) + e −aT
                        a2                  2             2
Hull-White Parameterisation



   When a ≈ 0,
                                      1
                 K (θ, T ) = σ 2 θ T − θ
                                      2
                    G (θ) = σ 2 θ(1 + aθ)
                                        1
                  H(θ, ti ) = (ti − θ) + (θ2 − ti2 )a
                                        2
   Notice that these approximations are exact at a = 0 (the Ho-Lee
   model).
Bibliography I

      ASX, ASX 3 and 10 year interest rate swap futures: Interest
      rate markets fact sheet,
      http://www.asx.com.au/documents/resources/asx_3_
      10_year_interest_rate_swap_futures.pdf (2011).
              , A guide to the pricing conventions of ASX interest
      rate products, http://www.asx.com.au/documents/
      professionals/pricing.pdf (2011).
      Marc Henrard, Bonds futures and their options: More than the
      cheapest-to-deliver; quality option and margining, Journal of
      Fixed Income 16 (2006), no. 2, 62–75.
               , The irony in derivatives discounting part ii: The
      crisis, Wilmott Journal 2 (2010), no. 6, 301–316.
Bibliography II



              , Deliverable interest rate swap futures: Pricing in
      Gaussian HJM model, Available at SSRN: http://papers.
      ssrn.com/sol3/papers.cfm?abstract_id=2154429
      (2012).
      Phil Hunt and Joanne Kennedy, Financial derivatives in theory
      and practice, vol. 555, Wiley, 2004.
      Gary J. Kennedy, Swap futures in HJM one-factor model,
      Available at SSRN: http://ssrn.com/abstract=1648419
      (2010).

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Cash Settled Interest Rate Swap Futures

  • 1. Cash Settled Interest Rate Swap Futures Convexity corrections in HJM one factor model Gary J. Kennedy ClarusFT Consulting October 18, 2012
  • 2. CME Cash Settled Interest Rate Swap Future The value of the contract (on a notional of 1) on the last trading day, θ, is [0.04/R + (1 − 0.04/R)(1 + R/2)−n ] Vθ (R) = P D (θ, t0 ) where, m j=1 β k (τj−1 , τj )P D (θ, τj−1 ) − P D (θ, τj ) Rθ = n D i=1 ai P (θ, ti ) P D (t, T ) is the discount factor at time t for a payment at time T , t0 = τ0 is the settlement day, {ti : i = 1, ..., n} are the payment dates of the fixed leg of the reference swap, whilst ai denotes the accrual period length of the fixed coupon paying at ti . The floating leg is characterised by the payment dates {τj : j = 1, ..., m}, whilst β k (t, T ) captures the spread between the forecast curve and discount curve between t and T .
  • 3. CME Cash Settled Interest Rate Swap Future A more transparent, although less efficient, representation1 is; 4%× 1 4%× 1 1 4%× 2 (1+4%× 1 )2 2 + 2 2 + ... + n−1 + n (1+ 1 R ) 2 (1+ 1 R ) 2 (1+ 1 R ) 2 (1+ 1 R ) 2 Vθ (R) = P(θ, t0 ) This is similar to the par curve cash settlement method of a European swaption. 1 The two representations are linked by recognising the sum of a geometric n series, a + ax + ax 2 + ... + ax n−1 = a 1−x . 1−x
  • 4. ASX Cash Settled Swap Future The future is quoted directly in terms of the swap rate R, as 1 − R, similar to a Eurodollar future. Yet the final settlement amount and variation margin are determined by the price of a notional bond future. The value of the future contract on the expiry date is; 1 6.5% × (1 − (1 + R/2)−n ) Vθ (R) = + (1 + R/2)−n P D (θ, t0 ) R This swap rate to price function has the same structure as the the CME future (excepting the coupon rate).
  • 5. NYSE Liffe SwapNote Future Liffe’s SwapNote future is also cash-settled, but based on discounting from a swap curve2 . Specifically, the price is the value of the fixed leg of a swap with a 6% coupon paid annually on a 30/360 basis. In this case, θ again is the last trading day, t0 is the delivery date, and {ti : i = 1, ..., n} are the notional cashflow dates. n P D (θ, ti ) P D (θ, tn ) Vθ = 6% × ai + P D (θ, t0 ) P D (θ, t0 ) i=1 This is similar to the zero curve cash settlement method in European swaptions. 2 The contract was designed before the two curve pricing world, the swap curve assumes the same discount and forecst curve
  • 6. Preliminaries Lemma 1 Let 0 ≤ t ≤ u ≤ v and u ≤ w . In the HJM one factor model, the ratio of two discount bonds is given by; u u P D (u, w ) P D (t, w ) 1 = D ξ(t) exp µ(s)dWs − µ2 (s)ds P D (u, v ) P (t, v ) t 2 t where, u ln ξ(t) = ln ξ(t, u, v , w ) = ν(s, v ) (ν(s, v ) − ν(s, w )) ds t and µ(s) = ν(s, w ) − ν(s, v ) Proof. See [Ken10, Hen10].
  • 7. Preliminaries In the separable HJM one factor model, the following integrals of the model parameters are identifiable in the convexity corrections; w H(v , w ) := h(s)ds v t G (t) := g (s)ds 0 u K (u, v ) := ν(s, v )g (s)ds 0
  • 8. Preliminaries Lemma 2 Let 0 ≤ t ≤ u ≤ v ≤ ti for i = 1, ..., n. In the separable HJM one factor model the ratio of two discount bonds is given by; P(u, ti ) P(t, ti ) 1 = ξi (t) exp αi X − αi2 P(u, v ) P(t, v ) 2 where, αi2 = H(v , ti )2 [G (u) − G (t)] and, ln ξi (t) = H(v , ti ) [K (u, v ) − K (t, v )] and, X is a N-normally distributed random variable and is the same for all ti . Proof. See [Ken10].
  • 9. Main Result Theorem 3 (Generic Futures Valuation) Let 0 ≤ t < θ ≤ t0 < ti for i = 1, ..., n. Suppose a futures contract has a contract value, Vθ , that depends only on a finite number of discount factors {P(θ, ti ) : i = 0, ..., n} on the expiry date. In a separable HJM one factor model each discount factor can be expressed as; P(t, ti ) 1 P(θ, ti ) = ξi (t) exp αi X − αi2 P(t, θ) 2 where, αi2 = H 2 (ti ) [G (θ) − G (t)], ξi (t) = −H(θ, ti )K (θ, θ) and X is a normally distributed variable. The future price is given by; ∞ 1 1 2 Vt = √ e − 2 x Vθ (x)dx −∞ 2π
  • 10. Hull-White Parameterisation For the Hull-White model, g (t) = σe at , h(s) = e −as , σ(t, u) = σe −a(u−t) and ν(t, u) = σ 1 − e −a(u−t) , in which case, a for a = 0, t σ 2 2at G (t) = σ 2 e 2as ds = e −1 0 2a T 1 −aθ H(θ, T ) = e −as ds = e − e −aT θ a θ σ2 K (θ, T ) = e as − e −a(T −2s) ds a 0 σ2 1 1 = e aθ − 1 − e −a(T −2θ) + e −aT a2 2 2
  • 11. Hull-White Parameterisation When a ≈ 0, 1 K (θ, T ) = σ 2 θ T − θ 2 G (θ) = σ 2 θ(1 + aθ) 1 H(θ, ti ) = (ti − θ) + (θ2 − ti2 )a 2 Notice that these approximations are exact at a = 0 (the Ho-Lee model).
  • 12. Bibliography I ASX, ASX 3 and 10 year interest rate swap futures: Interest rate markets fact sheet, http://www.asx.com.au/documents/resources/asx_3_ 10_year_interest_rate_swap_futures.pdf (2011). , A guide to the pricing conventions of ASX interest rate products, http://www.asx.com.au/documents/ professionals/pricing.pdf (2011). Marc Henrard, Bonds futures and their options: More than the cheapest-to-deliver; quality option and margining, Journal of Fixed Income 16 (2006), no. 2, 62–75. , The irony in derivatives discounting part ii: The crisis, Wilmott Journal 2 (2010), no. 6, 301–316.
  • 13. Bibliography II , Deliverable interest rate swap futures: Pricing in Gaussian HJM model, Available at SSRN: http://papers. ssrn.com/sol3/papers.cfm?abstract_id=2154429 (2012). Phil Hunt and Joanne Kennedy, Financial derivatives in theory and practice, vol. 555, Wiley, 2004. Gary J. Kennedy, Swap futures in HJM one-factor model, Available at SSRN: http://ssrn.com/abstract=1648419 (2010).