Bermudan Swaptions
Interest Rate Modeling
Tutorial Contents
- Fixed Income Notation
- Fixed Income Probability Measures
- Multi-Currency Markets
- The HJM Framework
- Basic Fixed Income Instruments
- Caps, Floors and Swaptions
- CMS Swaps, Caps and Floors
- Bermudan Swaptions
- Structured Notes and Exotic Swaps
- Callable Libor Exotics and TARNs
- Volatility Derivatives
- Yield Curves and Curve Construction
- Managing Yield Curve Risk
- Vanilla Models With Local Volatility
- Vanilla Models With Stochastic Volatility
- Introduction to Term Structure Models
- One-Factor Short Rate Models I
- One-Factor Short Rate Models II
- Multi-Factor Short Rate Models
- The Libor Market Model I
- The Libor Market Model II
- Risk Management and Sensitivity Computations
- P&L Attribution
- Payoff Smoothing
- Vegas in the Libor Market Model
Bermudan swaptions are a common form of option on swaps. They are similar to standard vanilla swaptions, except the
holder has the right to enter into a fixed-floating swap on any of a list of specified fixing dates up to expiry. For a
given tenor structure
0≤T0<T1<⋯<TN,τn=Tn+1−Tn, the holder of a Bermudan swaption has the right to exercise on any of the dates {Tn}n=0N−1. Once exercised
on date Tn, the option terminates, and the holder enters the swap with the first fixing date Tn and the final
payment date TN. The period leading up to T0 is known as the lockout or no-call period. In common jargon,
a Bermudan swaption on a 10 year swap with a 2 year lockout period is known as a 10 no-call 2 or 10nc2
Bermudan swaption.
Demand for Bermudan swaptions is driven by various segments of the fixed income market. Mortgage companies use them to
hedge their mortgage pools - the flexibility that the opportunity to exercise at various times gives them allows them
to match the uncertain timings of mortgage prepayments. In contrast, investors seeking higher upfront income sell
Bermudan swaptions - the additional optionality acts in favour of the holders of Bermudan-style options, leading to
higher premiums versus an otherwise equivalent European swaption. Bermudan swaptions are also used in order to hedge
callable Libor coupon bonds.
Pricing Bermudan Swaptions
Formally, at time Tn, the value of a payer Bermudan swaption, if exercised, is the swap value
Un(Tn)=β(Tn)i=n∑N−1τiETnQ[β(Ti+1)−1(Li(Ti)−K)]=i=n∑N−1τiP(Tn,Ti+1)(Li(Tn)−K)=An,N−n(Tn)(Sn,N−n(Tn)−K). Loosely speaking, a Bermudan swaption is an option to choose between Un(Tn) for different n=0,…,N−1.
By no-arbitrage, the value V(Tn) of the Bermudan swaption at time Tn is then given by the maximum of Un(Tn)
and the hold value Hn(Tn), the value of the Bermudan swaption with only the exercise dates
{Ti}i=n+1N−1 remaining. It is assumed that a rational investor at time Tn will observe the exercise value
Un(Tn) along with the hold value Hn(Tn) and decide to exercise only if they stand to gain at that instant by
doing so. Hence, we find that
V(TN)V(Tn)=UN(TN)=0,=max(Un(Tn),Hn(Tn)),n=0,…,N−1, Meanwhile, the hold value Hn(Tn) simply represents the value V(Tn+) of the option at the instant after the
choice not to exercise was made. For t∈(Tn,Tn+1), the investor has no ability to exercise, so we find that
Hn(t)=V(t) and hence, we have
Hn(Tn)=β(Tn)ETnQ[β(TTn+1)−1V(Tn+1)] Combining the above yields
Hn(Tn)V(0)=β(Tn)ETnQ[β(Tn+1)−1max(Un+1(Tn+1),Hn+1(Tn+1))],n=0,…,N−1,=β(0)EQ[β(T0)−1V(T0)]=β(0)EQ[β(T0)−1max(U0(T0),H0(T0))]. This defines a useful iteration backwards in time from the terminal time TN, to the initial time 0. The idea
behind this iterative scheme is known as dynamic programming. Loosely speaking, we work backwards to price
Bermudan options. Hence, pricing Bermudan swaptions is a problem naturally suited to numerical schemes that proceed
backwards through time, in particular, finite difference methods and tree-based methods fit this description well.
On the flipside of the above point, methods such as Monte Carlo pricing, which are inherently forward moving in
time, are poorly suited to pricing Bermudan options, and more sophisticated numerical techniques must be considered to
produce accurate pricing.