In this paper we investigate the local risk-minimization approach for a
combined financial-insurance model where there are restrictions on the
information available to the insurance company. In particular we assume that,
at any time, the insurance company may observe the number of deaths from a
specific portfolio of insured individuals but not the mortality hazard rate. We
consider a financial market driven by a general semimartingale and we aim to
hedge unit-linked life insurance contracts via the local risk-minimization
approach under partial information. The F\"ollmer-Schweizer decomposition of
the insurance claim and explicit formulas for the optimal strategy for pure
endowment and term insurance contracts are provided in terms of the projection
of the survival process on the information flow. Moreover, in a Markovian
framework, we reduce to solve a filtering problem with point process
observations.Comment: 27 page