Abstract
We present an expansion for portfolio optimization in the presence of small, instantaneous, quadratic transaction costs. Specifically, the magnitude of transaction costs has a coefficient that is of the order small, which leads to the optimization problem having an asymptotically-singular Hamilton-Jacobi-Bellman equation whose solution can be expanded in powers of √∈. In this paper, we derive explicit formulae for the first two terms of this expansion. Analysis and simulation are provided to show the behavior of this approximating solution.
Original language | English (US) |
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Article number | 1950039 |
Journal | International Journal of Theoretical and Applied Finance |
Volume | 22 |
Issue number | 7 |
DOIs | |
State | Published - Nov 1 2019 |
Keywords
- Merton problem
- Transaction costs
- aim portfolio
- singular perturbation expansion
- stochastic control
ASJC Scopus subject areas
- General Economics, Econometrics and Finance
- Finance