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
Music and snow. Poke my eyes out Perhaps your immediate response is: ”I’d rather poke my eyes out with a burning stick than do data analysis.” There’s a completely different [...]
jun 25, 26
Move your data analysis to a computing environment specifically designed for it. Why R and not spreadsheets? Here are three reasons: complexity graphics money Spreadsheets are easily overwhelmed. Very complex [...]
jun 25, 26
The steps taken to fix an R problem. Task To prepare for the Portfolio Probe blog post called ”Implied alpha and minimum variance”, I tried to update a matrix of [...]

