Main points:
- Usually in portfolio optimization the utility is primary and constraints secondary
- We get a useful point of view if we put constraints primary and utility secondary
- random portfolios give us this point of view
- one way of generating random portfolios is outlined
- constraining fractions of portfolio variance per asset is a good alternative to weight constraints
Presented 2011 December at the Computational and Financial Econometrics conference.
Kommentarer inaktiverade för Portfolio Optimisation Inside Out
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 [...]


