data.gen.gbm {synthesis} | R Documentation |
Generate a time series of geometric Brownian motion.
Description
This function generates a a time series of one dimension geometric Brownian motion.
Usage
data.gen.gbm(
x0 = 10,
w0 = 0,
mu = 1,
sigma = 0.5,
time = seq(0, by = 0.01, length.out = 101),
do.plot = TRUE
)
Arguments
x0 |
the start value of x, with the default value 10 |
w0 |
the start value of w, with the default value 0 |
mu |
the interest/drifting rate, with the default value 1. |
sigma |
the diffusion coefficient, with the default value 0.5. |
time |
the temporal interval at which the system will be generated. Default seq(0,by=0.01,len=101). |
do.plot |
a logical value. If TRUE (default value), a plot of the generated system is shown. |
Value
A ts object.
References
Yanping Chen, http://cos.name/wp-content/uploads/2008/12/stochastic-differential-equation-with-r.pdf
Examples
set.seed(123)
x <- data.gen.gbm()
[Package synthesis version 1.2.5 Index]