Group constraints in mean-variance optimisation
Groups constraints define minimum and maximum holding sizes for groups of assets (i.e., their positions are summed).
There are several ways to define groups.
list(1:4, c(3, 7, 8))
btest(prices = variations$prices [[1]], timestamp = variations$timestamp[[1]], ...) btest(prices = variations$prices [[2]], timestamp = variations$timestamp[[2]], ...)
But note that we have set
variations.settings$expand.grid
to FALSE
. If we
hadn't, btest
would have computed all combinations of
prices
and timestamps
.