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.
Kommentarer inaktiverade för Multivariate GARCH with Only Univariate Estimation
jun 25, 26
Many people are of the opinion that R has a corner on convenient data analysis. That may or may not be true. But now R literally has a corner that [...]
jun 25, 26
The most likely topics to appear here are: the R language statistics programming in general optimization