Mathematics – Probability
Scientific paper
2005-06-30
Mathematics
Probability
25 pages, 3 figures. To appear in Applied Mathematics and Optimization
Scientific paper
We consider a financial market model driven by an R^n-valued Gaussian process with stationary increments which is different from Brownian motion. This driving noise process consists of $n$ independent components, and each component has memory described by two parameters. For this market model, we explicitly solve optimal investment problems. These include (i) Merton's portfolio optimization problem; (ii) the maximization of growth rate of expected utility of wealth over the infinite horizon; (iii) the maximization of the large deviation probability that the wealth grows at a higher rate than a given benchmark. The estimation of paremeters is also considered.
Inoue Akihiko
Nakano Yumiharu
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