Main points:

  • random portfolios are better at performance measurement than benchmarks or peer groups
  • random portfolios can be used to explore the effect of portfolio constraints
  • there are various approaches to generating random portfolios

annotated slides (pdf)

Presented 2006 September at UKSIP.

Kommentarer inaktiverade för Portfolio Analysis with Random Portfolios

See more

Explore more content and blog posts.

  • jun 25, 26

    The email address patrick@burns-stat.com was out of action for a few hours today.  It is back now.

  • jun 25, 26

    Customization in R. Basics Several features benefit from being customizable — either because of personal taste or specifics of the environment. The way R implements this flexibility is through the [...]

  • jun 25, 26

    How to control the limits of data values in R plots. R has multiple graphics engines.  Here we will talk about the base graphics and the ggplot2 package. We’ll create [...]