Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library: finance
See also: bitree IBTdk IBTbc IBTlocsigma IBTsdisplot

Quantlet: IBTvolaplot
Description: shows the implied local volatility surface sigma(S,tau) in the implied tree at different time and stock price levels

Reference(s):

Usage: IBTvolaplot(loc, step, startpoint, endpoint, m)
Input:
loc Matrix: 3 columns, which contain the stock prices, the time to expiration (by year), the estimated local implied volatility
step scalar: the bandwidth of the time interval
startpoint scalar: the startpoint giving the lowest limit in the strike dimension of the volatility surface
endpoint scalar: the startpoint giving the highest limit in the strike dimension of the volatility surface
m scalar: the number of the steps to be estimated

Example:
library("finance")
proc(sigma)=volafunc(K, S, time)
  sigma=0.1+(S-K)/S/10*0.5
endp
r=0.03		; riskless annual interest rate
S=100		; the underlying asset price
lev=20		; the number of time steps
expiration=5	; time to expiration
ibtree=IBTdk(S, r, lev, expiration, "volafunc")
ptree=ibtree.Tree
prob=ibtree.prob
deltat=expiration/lev
m=20
loc=IBTlocsigma(ptree, prob,m, deltat)
startpoint=50
endpoint=150
n=10
step=0.5
IBTvolaplot(loc, step, startpoint, endpoint, n)

Result:
a surface plot to show the local implied volatility in implied tree changing with
time and stock price levels



Author: J. Zheng, Z. Hlavka, W. Haerdle, 20010605 license MD*Tech
(C) MD*TECH Method and Data Technologies, 05.02.2006