by Patrick Burns.
Abstract: Realized tracking errors are examined for a series of optimized portfolios using various estimates for the variance matrix. It is clear that the benchmark should be added mathematically to the variance matrix using the constituent weights — this dramatically outperforms the case where the benchmark is a separate asset in the return matrix or where relative returns are used. The common belief that factor models are to be preferred to sample variance estimates is confirmed, but only on condition that the benchmark is added mathematically to the variance matrix.
This version: 2003 May 06 (pdf)
See also the blog post ”How to add a benchmark to a variance matrix”.
jun 25, 26
Online Math Degrees has a page of ”100 savvy sites on statistics and quantitative analysis”. It has some that you recognize, some that you’ve hardly ever heard of. The sites [...]
jun 25, 26
R is a piece of software, but it is also a community. Help community The most visible aspect of the R community is help. This is also the most useful [...]
jun 25, 26
Some history and a prediction. Past A discussion broke out on the R-help mailing list in January 2006 about a technical report put out by the statistical computing group at [...]

