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Derivatives Options on Bonds and Interest Rates (II) Professor André Farber Solvay Brussels School of Economics and Management Université Libre de Bruxelles

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Page 1: Derivatives Options on Bonds and Interest Rates (II) 11... · 2012-05-03 · 3 May 2012 Derivatives 10 Options on bonds and IR |23 Pricing a zero-coupon • Using Ito’s lemna, the

Derivatives Options on Bonds and Interest Rates (II)

Professor André Farber Solvay Brussels School of Economics and Management Université Libre de Bruxelles

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3 May 2012

Review

Valuing a (long) forward contract: f = S – PV(K) Forward on zero-coupon: expressed in term of price or of interest rate Payoff at maturity: fT = ST – K <--> fT* = M (R – rT )Δt (short FRA) Payoff >0 or <0 From forward to options (European) Put Call Parity: Call – Put = Forward Options of bonds and interest rates: Call on ZC fT= Max(0, ST – K) <--> Put on IR (floor) fT* = Max(0, M (R – rT ) Δt) Put on ZC fT= Max(0, K – ST) <--> Call on IR (cap) fT* = Max(0, M (rT - R) Δt) Put Call Parity again: Floor – Cap = - FRA <--> FRA + Floor = Cap

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3 May 2012

What did we learn so far?

Forward / Futures No need to model price evolution (no arbitrage assumption) Required variables to value forward/futures: Spot price, Yield, Delivery price, Maturity, Interest rate

Options Model for price evolution required In risk neutral world (no arbitrage condition) Additional variable: volatility Black-Merton-Scholes model: dS=rSdt+σSdz Lognormal property: ln ST normally distributed Ito =>Partial Differential Equation (PDE) Solution:

-  BS formulas for European options -  Numerical procedures (binomial, Monte Carlo, …) for

American or exotic options

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3 May 2012

Bond option: where are we?

•  To value options on bonds and IR: –  Start from model of term structure (not prices)

•  Basic requirement: no arbitrage •  Fit initial term structure:

–  dr Normal: Ho and Lee / Hull and White –  dr LogNormal: Black Derman Toy / Black Karinski

•  Equilibrium model of term structure –  dr Normal: Vasicek

–  Use Black

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3 May 2012

Ho & Lee

One source of uncertainty: short rate evolution Interest rates normally distributed Many analytical results (not covered in class)

dr =!(t)dt +"dz

Short Rate

r

r

r

rTime

Extension: Hull-White (one factor) dr = !(t)! ar[ ]dt +!dz

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3 May 2012

Black-Derman-Toy

d ln r =!(t)dt +"dz

Lognormal version of the Ho & Lee model Advantage: interest rate cannot become negative Disadvantage: no analytical solution

Extension: Black-Karasinski d ln r = !(t)! a ln r[ ]dt +!dz

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3 May 2012

Using Derivagem

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3 May 2012 Derivatives 10 Options on bonds and IR |8

Black’s Model

TTXFd σ

σ5.0)/ln(

1 +=

[ ])()( 21 dKNdFNeC rT −= −

[ ])()( 21 dKNdNeSeeC rTqTrT −= −−

But S e-qT erT is the forward price F

This is Black’s Model for pricing options

[ ])()( 21 dKNdFNeP rT −+−−= −

Tdd σ−= 12

The B&S formula for a European call on a stock providing a continuous dividend yield can be written as:

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Example (8th ed. 28.3)

•  1-year cap on 3 month LIBOR •  Cap rate = 8% (quarterly compounding) •  Principal amount = $10,000 •  Maturity 1 1.25 •  Spot rate 6.39% 6.50% •  Discount factors 0.9381 0.9220 •  Yield volatility = 20%

•  Payoff at maturity (in 1 year) = •  Max{0, [10,000 × (r – 8%)×0.25]/(1+r × 0.25)}

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Example (cont.)

•  Step 1 : Calculate 3-month forward in 1 year : •  F = [(0.9381/0.9220)-1] × 4 = 7% (with simple compounding)

•  Step 2 : Use Black

2851.0)(5677.0120.05.0120.0

)%8%7ln(

11 =⇒−=××+×

= dNd

2213.0)(7677.120.05.05677.02 2 =⇒−=××−−= dNd

Value of cap = 10,000 × 0.9220× [7% × 0.2851 – 8% × 0.2213] × 0.25 = 5.19

cash flow takes place in 1.25 year

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3 May 2012

Using DerivaGem

Derivatives 10 Options on bonds and IR |11

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For a floor :

•  N(-d1) = N(0.5677) = 0.7149 N(-d2) = N(0.7677) = 0.7787 •  Value of floor = •  10,000 × 0.9220× [ -7% × 0.7149 + 8% × 0.7787] × 0.25 = 28.24 •  Put-call parity : FRA + floor = Cap •  -23.05 + 28.24 = 5.19 •  Reminder : •  Short position on a 1-year forward contract •  Underlying asset : 1.25 y zero-coupon, face value = 10,200 •  Delivery price : 10,000 •  FRA = - 10,000 × (1+8% × 0.25) × 0.9220 + 10,000 × 0.9381 •  = -23.05 •  - Spot price 1.25y zero-coupon + PV(Delivery price)

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3 May 2012

Using DerivaGem

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1-year cap on 3-month LIBOR

Cap Principal 100 CapRate 4.50%TimeStep 0.25

Maturity (days) 90 180 270 360Maturity (years) 0.25 0.5 0.75 1Discount function (data) 0.9887 0.9773 0.965759 0.954164IntRate (cont.comp.) 4.55% 4.60% 4.65% 4.69%Forward rate(simp.comp) 4.67% 4.77% 4.86%

Cap = call on interest rateMaturity 0.25 0.50 0.75Volatility dr/r (data) 0.215 0.211 0.206d1 0.4063 0.4630 0.5215N(d1) 0.6577 0.6783 0.6990d2 0.2988 0.3138 0.3431N(d2) 0.6175 0.6232 0.6342Value of caplet 0.3058 0.0722 0.1039 0.1297Delta 49.1211 16.0699 16.3773 16.6739

Floor = put on interest rateN(-d1) 0.3423 0.3217 0.3010N(-d2) 0.3825 0.3768 0.3658Value of floor 0.1124 0.0298 0.0391 0.0436Delta 23.3087 8.3619 7.7667 7.1802

Put-call parity for caps and floorsFRA 0.1934 0.0425 0.0648 0.0861+floor 0.1124 0.0298 0.0391 0.0436=cap 0.3058 0.0722 0.1039 0.1297

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3 May 2012

Using DerivaGem

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Using bond prices

•  In previous development, bond yield is lognormal. •  Volatility is a yield volatility. •  σy = Standard deviation (Δy/y) •  We now want to value an IR option as an option on a zero-coupon:

•  For a cap: a put option on a zero-coupon •  For a floor: a call option on a zero-coupon

•  We will use Black’s model. •  Underlying assumption: bond forward price is lognormal •  To use the model, we need to have:

•  The bond forward price •  The volatility of the forward price

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From yield volatility to price volatility

•  Remember the relationship between changes in bond’s price and yield:

yyDyyD

SS Δ

−=Δ−=Δ

D is modified duration

This leads to an approximation for the price volatility:

yDyσσ =

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Back to previous example (Hull 8th ed. 28.3)

1-year cap on 3 month LIBOR Cap rate = 8% Principal amount = 10,000 Maturity 1 1.25 Spot rate 6.39% 6.50% Discount factors 0.9381 0.9220 Yield volatility = 20%

1-year put on a 1.25 year zero-coupon

Face value = 10,200 [10,000 (1+8% * 0.25)]

Striking price = 10,000

Spot price of zero-coupon = 10,200 * .9220 = 9,404

1-year forward price = 9,404 / 0.9381 = 10,025

3-month forward rate in 1 year = 6.94%

Price volatility = (20%) * (6.94%) * (0.25) = 0.35%

Using Black’s model with:

F = 10,025 K = 10,000 r = 6.39% T = 1 σ = 0.35%

Call (floor) = 27.631 Delta = 0.761

Put (cap) = 4.607 Delta = - 0.239

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Using DerivaGem

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3 May 2012

Valuing IR Derivatives: beyond Black

•  Black’s model is concerned with describing the probability distribution of a single variable at a single point in time

•  A term structure model describes the evolution of the whole yield curve •  2 approaches (cf Hull 7th ed. Chap 30):

–  Equilibrium models: Vasicek 1977 •  Term structure = f(Factors) •  In equilibrium models, today’s term structure is an output

–  No-arbitrage: Ho-Lee 1986 •  Binomial evolution of whole term structure •  In a no-arbitrage models, today’s term structure is an input

Derivatives 10 Options on bonds and IR |20

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Vasicek (1977)

•  Derives the first equilibrium term structure model. •  1 state variable: short term spot rate r •  Changes of the whole term structure driven by one single interest rate •  Assumptions:

1.  Perfect capital market 2.  Price of riskless discount bond maturing in t years is a function of

the spot rate r and time to maturity t: P(r,t) 3.  Short rate r(t) follows diffusion process in continuous time:

dr = a (b-r) dt + σ dz

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The stochastic process for the short rate

•  Vasicek uses an Ornstein-Uhlenbeck process dr = a (b – r) dt + σ dz

•  a: speed of adjustment •  b: long term mean •  σ : standard deviation of short rate

•  Change in rate dr is a normal random variable •  The drift is a(b-r): the short rate tends to revert to its long term mean

•  r>b ⇒ b – r < 0 interest rate r tends to decrease •  r<b ⇒ b – r > 0 interest rate r tends to increase

•  Variance of spot rate changes is constant

•  Example: Chan, Karolyi, Longstaff, Sanders The Journal of Finance, July 1992

•  Estimates of a, b and σ based on following regression: rt+1 – rt = α + β rt +εt+1

a = 0.18, b = 8.6%, σ = 2%

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Pricing a zero-coupon

•  Using Ito’s lemna, the price of a zero-coupon should satisfy a stochastic differential equation:

dP = m P dt + s P dz •  This means that the future price of a zero-coupon is lognormal. •  Using a no arbitrage argument “à la Black Scholes” (the expected return of

a riskless portfolio is equal to the risk free rate), Vasicek obtain a closed form solution for the price of a t-year unit zero-coupon:

•  P(r,t) = e-y(r,t) * t •  with y(r,t) = A(t)/t + [B(t)/t] r0

•  For formulas: see Hull 4th ed. Chap 21.

•  Once a, b and σ are known, the entire term structure can be determined.

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Vasicek: example

•  Suppose r = 3% and dr = 0.20 (6% - r) dt + 1% dz •  Consider a 5-year zero coupon with face value = 100 •  Using Vasicek:

•  A(5) = 0.1093, B(5) = 3.1606 •  y(5) = (0.1093 + 3.1606 * 0.03)/5 = 4.08% •  P(5) = e- 0.0408 * 5 = 81.53

•  The whole term structure can be derived: •  Maturity Yield Discount factor •  1 3.28% 0.9677 •  2 3.52% 0.9320 •  3 3.73% 0.8940 •  4 3.92% 0.8549 •  5 4.08% 0.8153 •  6 4.23% 0.7760 •  7 4.35% 0.7373 0.00%

1.00%

2.00%

3.00%

4.00%

5.00%

6.00%

0.0 5.0 10.0 15.0 20.0 25.0 30.0 35.0

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Jamshidian (1989)

•  Based on Vasicek, Jamshidian derives closed form solution for European calls and puts on a zero-coupon.

•  The formulas are the Black’s formula except that the time adjusted volatility σ√T is replaced by a more complicate expression for the time adjusted volatility of the forward price at time T of a T*-year zero-coupon

[ ]aee

a

aTTTa

P 211 )*(

−−− −

−=σ

σ