Nothing
ABMPaths <-
function(){
initialprice <- 100 # lets keep this fixed
time <- 1
steps <- 250
dt <- time/steps
# paths <- 6
my.draw <- function(panel) {
# mu and sigma are mean and variance of change in price rather than of returns
mu <- panel$mu
sigma <- panel$sigma
mudt <- mu*dt
sigmasqrtdt <- sigma*sqrt(dt)
paths <- panel$paths
# ds = S + S(mudt +sigmasqrtdt*epsilon)
ABMStockprices <- function(initialprice,steps,paths,sigmasqrtdt,mudt){
prices <- matrix(data=NA, nrow=steps+1,ncol=paths)
prices[1,] <- initialprice
for (i in 2:(steps+1)){
prices[i,] <- prices[i-1,]+ (mudt + sigmasqrtdt*rnorm(paths))
}
return(prices)
}
prices <-ABMStockprices(initialprice,steps,paths,sigmasqrtdt,mudt)
x.axis <- seq(0,1,length=steps+1)
#if (length(dev.list()) == 0)
#dev.new()
#x11()
my.title <- paste(paths, " Arithmetic Brownian motions", "(mu=", mu, ", sigma=", sigma,")")
matplot(prices,main= my.title,xlab="time", ylab="price",type='l',lwd=2)
panel
}
my.redraw <- function(panel) #not needed bcos we are not using tkr plot
{
rp.tkrreplot(panel, my.tkrplot)
panel
}
my.panel <- rp.control(title = "Arithmetic Brownian Motion", mu = 20, sigma = 40,paths=1,size=c(500,400))
rp.doublebutton(panel = my.panel, variable= mu, step = 8, range = c(0, 40),
showvalue=TRUE, title = "Drift", action = my.redraw)
rp.doublebutton(panel = my.panel, variable= sigma, step = 8, range = c(0, 80),
showvalue=TRUE, title = "Volatility", action = my.redraw)
rp.doublebutton(panel = my.panel, variable= paths, step = 1, range = c(1, 10),
showvalue=TRUE, title = "Paths", action = my.redraw)
rp.tkrplot(my.panel, my.tkrplot, my.draw, pos = "right", hscale=2,vscale=1.75) # doesnt appear very good
#rp.do(my.panel, my.draw)
}
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