22,261 research outputs found
Long time asymptotics for optimal investment
This survey reviews portfolio selection problem for long-term horizon. We
consider two objectives: (i) maximize the probability for outperforming a
target growth rate of wealth process (ii) minimize the probability of falling
below a target growth rate. We study the asymptotic behavior of these criteria
formulated as large deviations control pro\-blems, that we solve by duality
method leading to ergodic risk-sensitive portfolio optimization problems.
Special emphasis is placed on linear factor models where explicit solutions are
obtained
Risk-sensitive investment in a finite-factor model
A new jump diffusion regime-switching model is introduced, which allows for
linking jumps in asset prices with regime changes. We prove the existence and
uniqueness of the solution to the risk-sensitive asset management criterion
maximisation problem in this setting. We provide an ODE for the optimal value
function, which may be efficiently solved numerically. Relevant probability
measure changes are discussed in the appendix. The approach of Klebaner and
Lipster (2014) is used to prove the martingale property of the relevant density
processes.Comment: 23 pages, 1 figur
Growth-optimal portfolios under transaction costs
This paper studies a portfolio optimization problem in a discrete-time
Markovian model of a financial market, in which asset price dynamics depend on
an external process of economic factors. There are transaction costs with a
structure that covers, in particular, the case of fixed plus proportional
costs. We prove that there exists a self-financing trading strategy maximizing
the average growth rate of the portfolio wealth. We show that this strategy has
a Markovian form. Our result is obtained by large deviations estimates on
empirical measures of the price process and by a generalization of the
vanishing discount method to discontinuous transition operators.Comment: 32 page
Representation of homothetic forward performance processes in stochastic factor models via ergodic and infinite horizon BSDE
In an incomplete market, with incompleteness stemming from stochastic factors
imperfectly correlated with the underlying stocks, we derive representations of
homothetic (power, exponential and logarithmic) forward performance processes
in factor-form using ergodic BSDE. We also develop a connection between the
forward processes and infinite horizon BSDE, and, moreover, with risk-sensitive
optimization. In addition, we develop a connection, for large time horizons,
with a family of classical homothetic value function processes with random
endowments.Comment: 34 page
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