  We study the pricing and hedging of derivatives in incomplete financial
markets by considering the local risk-minimization method in the context of the
benchmark approach, which will be called benchmarked local risk-minimization.
We show that the proposed benchmarked local risk-minimization allows to handle
under extremely weak assumptions a much richer modeling world than the
classical methodology.
