The aim of the present paper is to propose a stochastic approach for d
escribing the return of an investment, and study its applications in i
nsurance. The process governing the return of the investment is assume
d to have bounded variation over finite intervals and possess a jump p
art. Attention is restricted to cases where the process has independen
t increments and is subject to fluctuations given by a Markovian envir
onment. In the first case direct calculations are obtainable for evalu
ating moments of present and accumulated values. In the last case we e
stablish differential equations akin to the celebrated Thiele's differ
ential equation in life insurance.