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Introduction to Barrier Options
John A. Dobelman, MBPM, PhD
October 5, 2006
PROS Revenue Management
2
Overview
• Introduction
• Valuation of Vanillas
• Valuation of Barrier Options
• Application
3
Introduction
• What is an option?– Contingent Claim on cash or underlying asset– Long Option – Rights– Short Option – Obligation– CALL: Right to buy underlying at price X– PUT: Right to sell underlying at price X
– – ITM/OTM: Moneyness
( , , , , )V V S X T r
4
X=100
5
Vanilla Option Payoffs
6
Vanilla Option Value
7
Introduction
• What is a Barrier Option?
• Barrier Options – 8 Types
• Knock-in - up and in
down and in
• Knock-Out - up and out
down and out
( , , , , , )V V S X B T r
A barrier option is an option whose payoff depends on whether the price of the underlying object reaches a certain barrier during a certain period of time. One barrier options specify a level of the underlying price at which the option comes into existence (“knocks in”) or ceases to exist (“knocks out”) depending on whether the level L is attained from below (“up”) or above (“down”). There are thus four possibile combinations: up-and-out, up-and-in, down-and-out and down-and-in. To be specific consider a down-and-out call on the stock with exercise time T, strike price K and a barrier at L < S0. This option is a regular call option that ceases to exist if the stock price reaches the level L (it is thus a knock-out option).
8
X=100
B=110
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Barrier Options Characteristics
• Cheaper than Vanillas
• Widely-traded (since the 1960’s)
• Harder to value
• Flexible/Many Varieties
10
Barrier Options - Varieties
• Time-varying barriers
• Rebates. Upon KO, not KI
• Double Barriers
• Look Barriers. St/end; if not hit, fixed strike lookback initiated
• Partial Time Barriers. Monitored only during windows
• Delayed Barrier Options. Total length time beyond barrier
• Reverse Barriers. KO or KI while ITM
• Soft/Fluffy Barriers. U/L Barrier. Knocked in/out proportionally
• Multi-asset Rainbow Barriers
• 2-factor/Outside Barrier• Protected Barrier. Barrier
not active [0,t2)
11
Option Valuation - VanillasAnalytic – First Cut
• Black-Scholes-Merton (1973)
• Modified B-S European/American
• Black Model
• Quadratic Approximation (Whaley)
• Transformations/Parity
• Multiple Models Today(>800,000 vs. 39,100)
Numerical - Americans and Exotics
• PDE Approach (Schwartz 77)
• Binomial (Sharpe 1978, CRR 1979)
• Trinomial Model
• Monte Carlo
• Multiple Models Today
12
Analytic Valuation
1 2( ) ( )rtC S d Xe d
2 2
1 2 1
1 1log( ) ( ) log( ) ( )
2 2;
S SX Xr t r t
d d d tt t
2 1( ) ( )rtP Xe d S d
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Merton’s 1973 Valuation
1 2 3 4
212
( ) ( ) ( ) ( ) / 2
( , ) ( , )
D O rt rt
BS BS
S SC S d Xe d B d Xe dB B
SV S t V B S tB
2 2123
2124
2ln ln ( ) / 1 2
2ln ln ( ) /
SBd r t t rX X
SBd r t tX X
KO KIV V V
14
Toward Optimality: Reiner & Rubinstein (91), Rich (94), Ritchkin (94), Haug (97,99,00)
1 1
2 2
2( 1) 2
1 1
2( 1) 2
2 2
2
2 2
( ) ( )
( ) ( )
( ) ( )
( ) ( )
( ) ( )
( )
t rt
t rt
m mt rt
m mt rt
mrt
m
A Se x Xe x t
B Se x Xe x t
B BC Se y Xe y tS S
B BD Se y Xe y tS S
BE Xe x t y tS
BF X zS
( 2 )m
B z tS
15
Toward Optimality (CONT’D)
2122
2 2
1 2
2
1 2
2( )
ln( ) ln( )(1 ) (1 )
ln( ) ln( )(1 ) (1 )
r rm m
S SX Bx m t x m tt t
B BSX Sy m t y m tt t
ln( )BSz tt
16
Toward Optimality (CONT’D)
17
BSOPM Assumptions• European exercise terms are used
• Markets are efficient (Markov, no arbitrage)
• No transaction costs (commission/fee) charged (no friction)
• Buy/Sell prices are the same (no friction)
• Returns are lognormally distributed (GBM)
• Trading in the stock is continuous, with shorting instantaneous
• Stock is divisible (1/100 share possible)
• The stock pays no dividends during the option's life
• Interest rates remain constant and known
• Volatility is constant and estimatable
18
Numerical Valuation
• Finite Difference Methods (PDE)
• Monte Carlo Methods
• Easy to incorporate unique path-dependencies of actual options
• Modeling Challenges:– Price Quantization Error– Option Specification Error
19
Finite Difference Methods
• Explicit: – Binomial and Trinomial Tree Methods– Forward solution
• Implicit: – Specific solutions to BSOPM PDE and other
formulations – Improve convergence time and stability
20
Binomial and Trinomial Tree Methods
• Cox, Ross, Rubinstein 1979
• Wildly Successful
• Finance vs. Physics Approach
• Hedged Replicating Portfolio
• Arbitrary Stock Up/Dn moves
• Equate means to derive the lognormal
• Limits to the exact BSOPM Solution
21
CRR Models
0
!(1 ) max 0, /
!( )!
nj n j j n j n
j
nC p p u d S X r
j n j
Very Accurate – Except for Barriers!
22
Other MethodsOscillation Problems when Underlying near the barrier price
Trinomial and Enhanced Trees – Very Successful
Adaptive Mesh
New PDE Methods
Monte Carlo Methods – For Integral equations
23
Applications and Challenges
• Hedging Application
• Option Premium Revenue Program
24
Simple Hedging ApplicationFDX 108.75 (9/28/06)
Jan'08 Put (477 Days to expire)
Vanilla Put Knock-in PutWFXMT Ja08 100 put: 10.00 B=90, X=100: 7.65WFXMR Ja08 90 put: 4.60 B=90, X=90: 4.48
$1,000,000 FDX 100 Standard option contracts to hedge
$100,000 vs. 75,600 Cost to insure $80,000 LossTotal $180,000 vs. $155,600
$46,000 vs. 44,800 Cost to insure $180,000 LossTotal $226,000 vs. $224,800
25
Try with SPX Options$1,000,000 FDX ~ 8 Standard SPX options when
SPX=1325
8k: $1,060,000 at 1325 and $1,040,000 at 1300
Dec’07 SPX 1300 Put: $49.00 $4,900/k * 8 Contracts
$39,200 Cost to Insure $20,000 losstotal $59,200 (Much cheaper)
Cheaper yet with Barriers but what if OTM?Cheapest with Self-Insurance.
26
Option Premium Revenue Program
Risk of Ruin vs. Risk-Free Rate
Sell Covered or Uncovered vanilla calls and puts each month to collect premium; buy back if needed at expiration. Cp. With barriers.
Pr(Ruin)=1 -or- Return=rf
27
References• Michael J. Brennan; Eduardo S. Schwartz (1977) "The Valuation of American Put
Options," The Journal of Finance, Vol. 32, No. 2
• Mark Broadie, Jerome Detemple (1996) "American Option Valuation: New Bounds, Approximations, and a Comparison of Existing Methods," The Review of Financial Studies, Vol. 9, No. 4. (Winter, 1996), pp. 1211-1250.
• Peter W. Buchen, 1996. "Pricing European Barrier Options," School of Mathematics and Statistics Research Report 96-25, Univeristy of Sydney, 13 June 1996
• Cheng, Kevin, 2003. "An Overivew of Barrier Options," Global Derivatives Working Paper, Global Derivatives Inc. http://www.global-derivatives.com/options/o-types.php
• John C. Cox; Stephen A. Ross; Mark Rubinstein 1979. "Option pricing: A simplified approach," Journal of Financial Economics Volume 7, Issue 3, Pages 229-263 (September 1979)
• Derman, Emanuel; Kani, Iraj; Ergener, Deniz; Bardhan, Indrajit (1995) "Enhanced numerical methods for options with barriers," Financial Analysts Journal; Nov/Dec 1995; 51, 6; pg. 65-74
28
References (CONT’D)• M. Barry Goldman; Howard B. Sosin; Mary Ann Gatto. Path Dependent Options: "Buy at the
Low, Sell at the High," The Journal of Finance, Vol. 34, No. 5. (Dec., 1979), pp. 1111-1127.
• Haug, E.G. (1999) Barrier Put-Call Transformations. Preprint available on the web at http://home.online.no/ espehaug.
• J.C. Hull, Options, Futures and Other Derivatives (fifth ed.), FT Prentice-Hall, Englewood Cliffs, NJ (2002) ISBN 0-13-046592-5.
• Shaun Levitan (2001) "Lattice Methods for Barrier Options," University of the Witwatersran Honours Project.
• Robert C. Merton, 1973. "Theory of Rational Option Pricing," Bell Journal of Economics, The RAND Corporation, vol. 4(1), pages 141-183, Spring.
• Antoon Pelsser, 1997. "Pricing Double Barrier Options: An Analytical Approach," Tinbergen Institute Discussion Papers 97-015/2, Tinbergen Institute.
• L. Xua, M. Dixona, c, , , B.A. Ealesb, F.F. Caia, B.J. Reada and J.V. Healy, "Barrier option pricing: modelling with neural nets," Physica A: Statistical Mechanics and its Applications Volume 344, Issues 1-2 , 1 December 2004, Pages 289-293
• R. Zvan, K. R. Vetzal, and P. A. Forsyth. PDE methods for pricing barrier options. Journal of Economic Dynamics and Control, 24:1563.1590, 2000.
Introduction to Barrier Options
John A. Dobelman, MBPM, PhD October 5, 2006
PROS Revenue Management
John A. Dobelman October 5, 2006 PROS Revenue Management