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
Towards the basic R mindset. Previously The post ”A first step towards R from spreadsheets” provides an introduction to switching from spreadsheets to R. It also includes a list of [...]
jun 25, 26
I failed to find Kahneman’s book in the economics section of the bookshop, so I had to ask where it was. ”Oh, that’s in the psychology section.” It should have [...]
jun 25, 26
An introductory comparison of using the two languages. Background R was made especially for data analysis and graphics. SQL was made especially for databases. They are allies. The data structure [...]