Derivative Securities: Lecture 5 American Options and ...
[Pages:30]Derivative Securities: Lecture 5 American Options and Black Scholes
PDE
Sources: J. Hull Avellaneda and Laurence
The Black Scholes PDE
? The hedging argument for assets with normal returns presented at the end of Lecture 4 gave rise to the Black Scholes PDE
CS,t 2S 2 2CS,t (r q)S CS,t rCS,t 0
t
2 S 2
S
r=interest rate, q=dividend yield, volatility. The volatility is the
annualized standard deviation of returns (it is not a market price or, rate, but rather a model input).
? We introduce a method for solving this PDE numerically on a grid.
Finite-difference scheme, or ``trinomial tree''
Mx
2x x 0
t 2t
S
j n
S0e jx,
M j M
Cnj C Snj , nt , 0 n N
Mx Nt
S
Finite-difference template
n
n+1 t
Change of variables
BS equation in log-price
S S0ex
S C S C x S C 1 C S x S x S x
S2
2C S 2
S2
S
1 S
S
C S
S2
S
1 S
C x
S 1 C x S x
2C C x2 x
C t
r
q
1 2
2
C x
1 2
2
2C x 2
rC
0
Taylor expansion & symmetric finite-difference approximations for derivatives
f x f 0 f '0x 1 f ''0x2 ...
2
f x f 0 f '0x 1 f ''0x2 ...
2
f (x) f (x) 2 f '0x o x2 f (x) f (x) 2 f 0 f ''0x2 o x3
f '0 f (x) f (x) ox
2x
f ''0
f (x)
f
(x) x2
2
f
0
ox
Symmetric finite difference approximations for first and second derivatives
Discretization of the PDE
C S , t
Cj n1
Cnj
t
t
C S,t
C j1 n1
C j1 n1
x
2x
2C S,t x2
C j1 n1
C j1 n1
x 2
2Cnj1
Here we do not use symmetric differences
Here use symmetric differences
C j n1
Cnj
t
(r
q
2
)
C j1 n1
C j1 n1
2 2x
2
2
C j1 n1
C j1 n1
2Cnj1
x 2
rCnj
0
From PDE to recursive scheme
C j n1
Cnj
t
(r
q
2
)
C j1 n1
C j1 n1
2 2x
2 2
C j1 n1
C j1 n1
2Cnj1
x 2
rCnj
0
Cnj
Cj n1
2t
2x2
(r
q
2 2x
/
2)t
Cnj11
1
2t
x2
Cnj1
2t
2x2
(r
q
2 2x
/
2)t
Cnj11
rtCnj
Cnj
1 1 rt
pUCnj11
pM
Cj n1
pDCnj11
pU
2t
2x2
(r
q
2 2x
/
2)t
pM
1
2t
x2
pD
2t
2x2
(r
q
2 2x
/
2)t
Interpreting the weights
? Notice that
pU pM pD 1
? Set
x max t
rq2 2
p
2t
2x2
2
2
2 max
? The weights become
pU
p
t 2 max
pM 1 2 p
t pD p 2 max
................
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