[R-SIG-Finance] Monte Carlo Convergence test
amelia_marsh08 at yahoo.com
Mon Oct 26 08:47:04 CET 2015
I have series of say 100 (say equity) instrument prices. From these prices, for each of these 100 instruments, I generate returns using ln(current price / previous price).
Assuming originally I had 251 prices available for each of these 100 instruments over last one year period, I have matrix of 250X100 returns.
I assume that these returns follow Multivariate Normal Distribution. Using the returns, I generate a mean Vector of returns 'M' and also generate the Variance - covariance matrix of returns 'S'.
Then using MASS library, I simulate say 10000 returns for each of the 100 instruments as :
sim_rates = mvrnorm(10000, M, S)
This gives me 10000 simulated returns for each of the 100 instruments and using these simulated returns carry out further analysis.
My query is how do I carry out convergence test in R to arrive at sufficint number of simulations?
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