In this section we explain from a general point of view how to optimize a portfolio with respect to ES or with respect to the performance measures ES-RORC or respectively ES-RORAC.
We assume a fixed budget/portfolio value of
which must
be fully invested at the present time
.
Otherwise, the considered problems
become trivial or unsolvable as the ES is scalable (positive homogeneous
of degree 1) and the considered performance measures are invariant
due to scaling.
Let us assume that a portfolio
is given. Furthermore,
this portfolio has to be optimized with respect to a risk or performance
measure
on
. For convenience, we assume that the risk
has to be minimized. As mentioned, exactly the fixed amount
has to be invested in the market at time 0. As
is the price of
asset
at time 0, this implies the following constraint for the
portfolios
which must be satisfied:
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(17) |
| (18) |
Working with real data, we discovered that portfolios which are
candidates for extremal
points due to the considered risk or performance measures can contain
tremendous amounts of short-sold assets, i.e. the portfolio as a vector
of real numbers contains huge negative components. For this reason we
introduce a further constraint: For
we require
As an optimization (e.g. for a 1-year horizon) can be driven daily or hourly, one could also think of self-financing ES-, ES-RORC or ES-RORAC-optimal strategies in this context.