First of all, let me preface by saying that I have very little experience with R but am trying to get up to speed as quickly as possible. I have been trying to do a Monte Carlo simulation of barrier down and out options with a rebate when the option is knocked out. Essentially, trying to do a very crude Merton-type structural model. To get my feet wet, I was experimenting with the MonteCarloOption function in the foptions package. As a source of comparison, I also ran the Black-Scholes option valuation function, GBSOption. I am using rnorm.Sobol for the innovation and a Wiener process for the path. The thing is, the B-S value is always very different (2-10%) from the MC value for the exact same input assumptions even for mcSteps=500k. Also, I'd like to use a non-normal innovation but couldn't find a RNG for that. Looked at the students T RNG rt but the output of that function is just a large data set, not an mcSteps x pathLength matrix. Also took a look at fExoticOptions but it doesn't look like you can do anything with the non-normal distributions with those functions. Does anyone else out there have experience working with the MonteCarloOption or fExoticOptions functions? Is there a more flexible set of functions I'm missing? Thanks in advance for any help. -- View this message in context: http://r.789695.n4.nabble.com/MonteCarloOption-Questions-tp4651509.html Sent from the Rmetrics mailing list archive at Nabble.com.
MonteCarloOption Questions
1 message · eqsf