by Patrick Burns.
Abstract: This brief note offers an explicit algorithm for a multivariate GARCH model, called PC-GARCH, that requires only univariate GARCH estimation. It is suitable for problems with hundreds or even thousands of variables. PC-GARCH is compared to two other techniques of getting multivariate GARCH using univariate estimates.
jun 25, 26
I’d like to do a song of great social and political import. The code that created the illustrations in Tao Te Programming is now available as the TaoTeProgramming package on [...]
jun 25, 26
Another of the all ye entering here. Issue When subscripting an xts object, columns that don’t exist in the object are silently ignored. Example First, create an xts object: xtx [...]
jun 25, 26
Posts by page views Interview with a forced convert to R from Matlab A first step towards R from spreadsheets Plot ranges of data in R A statistical review of [...]

