Abstract:
We consider a financial market model driven by a Gaussian semi-martingale with stationary increments. This driving noise process
consists of $n$ independent components and each component has memory described by two parameters. We extend results of the authors
on optimal investment in this market.
Keywords:Optimal investment, long term investment, processes with
memory, processes with stationary increments, Riccati equations.