Main points
- We could do perfect (in a sense) performance measurement if we compared what was done to all of the possible alternatives
- There are too many of those, but a random sample will do nicely
- portfolio constraints are imposed as a form of insurance
- random portfolios can help to show the cost and benefit of that insurance
- R is a good environment for such work
Presented 2009 June at the Thalesians.
There is a video of the talk on the Thalesian website (near the bottom).
Kommentarer inaktiverade för Using Random Portfolios with R
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 [...]


