VoseTimeMultiGBM | Vose Software


See also: Time series in ModelRisk, Vose Multivariate Time Series window; Fitting in ModelRisk;Multivariate Time Series Fit

VoseTimeMultiGBM({Means}, {CovMatrix}, Log Return, {Initial Values}, Data_in_rows)




Array function that simulates from a Multivariate Geometric Brownian Motion time series model.

  • {Means} - array of mean log returns per period for each variable.

  • {CovMatrix} - covariance matrix of log returns.

  • Log Return - an optional parameter. Function generates log returns if set to TRUE, or variable values if set to FALSE or omitted.

  • {Initial Values} - array of starting values (at time zero) for each variable.

  • Data_in_rows - optional parameter that specifies if the data is in rows (TRUE) or columns (FALSE, default).



k - number of variables

- k x 1 random vector, if   is the value of the variable at time t, then is the log return defined as

- k x 1 vector of means

- k x 1 vector of uncorrelated random variables, which is defined as follows:

- k x k covariance matrix.


VoseFunctions for this time series

VoseTimeMultiGBM - generates an array of random values from this time series.

VoseTimeMultiGBM - creates an object for this time series.

VoseTimeMultiGBMFit - generates an array with random values from this time series fitted to data.

VoseTimeMultiGBMFitObject - creates an Object for this time series fitted to data.