Abstract:
We prove characterizations of positive dependence for a general class of
time-inhomogeneous Markov processes called Feller evolution processes
(FEPs) and for jump-FEPs. General FEPs can be analyzed through their time and
state-space dependent (extended) generators. We will use the time and
state-space dependent (extended) generators and time and state-space dependent
Lévy measures to characterize the positive dependence of general FEPs and
jump-FEPs, respectively. We conclude with applications of these results to
additive processes, which are time-inhomogeneous Lévy processes, often
arising as useful examples in financial modeling.