rGbms {RMOPI}

Simulate Multivariate Stocks Prices Data

Description

Simulate multivariate prices for interconnected stocks with each price series following Geometric Brownian Motion (GBM).

Usage

rGbms(
  name,
  len,
  start = c(1000, 1000),
  mu = rep(1e-04, 2),
  sigma = matrix(c(2e-04, 1e-04, 1e-04, 2e-04), 2, 2),
  digits = 2
)

Arguments

name

vector of series names

len

the length

start

vector of start positions

mu

vector of mu

sigma

vector of sigma

digits

integer deciding the number of decimal places

Value

A simulated multivariate GBM series with each series interconnected

Examples

rGbms(c("bear", "tiger"), len = 36)