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Yield Binomial. Bond Option Pricing Using the Yield Binomial Methodology. AGENDA. Background South African Complexity with option model Problems with Black and Scholes Approach Binomial Methodology. Background. American Bond Options - some traders use Black & Scholes model
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Bond Option Pricing Using the Yield Binomial Methodology
AGENDA • Background • South African Complexity with option model • Problems with Black and Scholes Approach • Binomial Methodology
Background • American Bond Options - some traders use Black & Scholes model • Adjust for early exercise by forcing the answer to equal at least intrinsic
South African Complexity with Option Model • Overseas bond options have a fixed strike price throughout the option • South African bond options trade with a strike yield • Thus the strike price changes throughout the life of the option
South African Complexity with Option Model • Difference between Clean Strike prices and strike yield:
Problems with Black and Scholes approach • Tends to under-price out of the money option • Mispricing is the worst for short-dated bonds • Adjusting the Black & Scholes value with the intrinsic value results in discontinuity in value. • This also results in a discontinuity in the Greeks.
Example (1) • Put option on R150 • Settlement date: 26 Sept 2002 • Maturity date: 1 Apr 200 • Riskfree rate until option maturity: 10% (continuous) • Strike yield: 11.5% (semi-annual) • The YTM (semi-annual) ranges from 11.5% to 12.97% • Nominal: R100
We are interested in the point where the bond option premium falls below intrinsic Example (2)
Example (3) • The premium falls below intrinsic at a YTM of ± 11.84% • We are also interested in the behaviour of delta around a YTM of 11.84%
Example (4) • To this end, we use a numerical delta, calculated as follows: • Delta = UBOP(i+1) – UBOP(i) AIP(i+1) – AIP(i) • UBOP stands for used bond option premium, and is equal to the intrinsic whenever the option premium falls below intrinsic • AIP is the all-in price of the bond at the option’s settlement date
Example (5) • Delta makes a jump at the 11.84% mark
Example (6) • If we were to extend the data points in the first graph, it would look more or less as follows:
Example (7) • The Black and Scholes model will use: • The bond option premium if it is larger than intrinsic • Intrinsic, wherever the option premium falls below it • This is illustrated by the red dots:
What is different about the yield binomial model? • Normal binomial model uses a binomial price tree • Yield binomial uses yields instead of prices
Normal binomial model Using Risk Neutral argument we get: • a = exp(rt) • u = exp[.sqrt(t)] • d = 1/u • p = a - d u - d
Normal binomial model Time 2 Time 0 Time 1 S22=S11u p S11=S0u p 1-p S21= S0 S0 S0 p 1-p S10=S0d 1-p S20=S10d
Normal binomial model • From an initial spot price S0, the spot price at time 1 may jump up with prob p, or down with prob 1-p. • In the event of an upward jump, the S1 = S0u • In the event of a downward jump, the S1 = S0d • The probability p stays the same throughout the whole tree.
Yield binomial model Time 0 Time 2 Time 1 Y22=FY2u2 Y11=FY1u Y21=FY2 FY1 Y0 p2 Y10=FY1d 1-p2 Y20=FY2d2 FP2 FP1
Yield binomial model • At each time step the forward yield FYi is calculated • Then the yields at each node are calculated • Take first time step: • Y11 and Y10 is calculated by • Y11 = FY1 * u and • Y10 = FY1 * d
Yield binomial model Time 0 Time 2 Time 1 P22=P(Y22) p2 P11=P(Y11) p1 1-p2 P21=P(Y21) FP1 =P(FY1) Y0 p2 1-p1 P10=P(Y10) P20=P(Y20) 1-p2 FP2 FP1
Yield binomial model • In this model, a forward price FPiis calculated at time step i from the yields just calculated • At each node i,j, a bond price BPi,jis calculated from the yield tree • Cumulative probabilities CPi,j: CP0,0 = 1 CPi,j = CPi,j.(1-pi) if j=0 = CPi-1,j-1.pi + CPi-1,j.(1-pi) if 1j i-1 = CPi-1,i-1.pi if j=i
Yield binomial model The relationships between the forward prices FPi, bond prices Bpi,jand probabilities piare given by: FP1 = p1.BP1,1 + (1-p1).BP1,0 FP2 = CP2,2.BP2,2 + CP2,1.BP2,1+ CP2,0.BP2,0 FPi = sum(cumprob(I,j) *price(I,j) from j =0 to i p(i) = price(i) – sum(cumprob(i-1,j) * price(i,j)/ sum(cumprob(i-1,j)* price(I,j+1) –price(i,j))
Binomial Methodology… • Option Tree: • Calculate the pay-off at each node at the end of the tree. • Work backwards through the tree. • Opt. Price = Dics * [Prob. Up(i) * Option Price Up + Prob. Down(i) * Option Price Down]
Binomial Methodology • Checks on the model: • Put call parity must hold • Volatility in tree must equal the input volatility
Binomial Methodology in summary Option Inputs: • Strike yield • Type of option (A/E) • Is the option a Call or a Put?
Greeks • Numerical estimates • Alternative method for Delta and Gamma: • Tweak the spot yield up and down. • Calculate the option value for these new spot yields. • Fit a second degree polynomial on these three points. • The first ad second derivatives provide the delta and gamma.
Binomial Methodology in Summary • Calculated parameters - Yield and Bond Tree: • Time to option expiry in years • Time step in years • Forward yield and prices at each level in tree using carry model • Up and down variables
Benefits of Binomial • Caters for early exercise • Smooth delta • Flexibility with volatility assumptions
Binomial Model • Number of time steps? • Not a huge value in having more than 50 steps • Useful to average n and n+1 times steps