We study a robust stochastic optimization problem in the quasi-sure setting in discrete-time. We show that under a linearity-type condition the problem admits a maximizer. This condition is implied by the no-arbitrage condition in models of financial markets. As a corollary, we obtain existence of a utility maximizer in the frictionless market model, markets with proportional transaction costs and also more general convex costs, like in the case of market impact
We give a review of classical and recent results on maximization of expected utility for an investor...
We treat a discrete-time asset allocation problem in an arbitrage-free, generically incomplete finan...
We consider an investor whose preferences are described by a concave nondecreasing function $U:(0,in...
We study a robust stochastic optimization problem in the quasi-sure setting in discrete-time. We sho...
We establish the existence of minimizers in a rather general setting of dynamic stochastic optimizat...
We consider a general discrete time financial market with proportional transaction costs as in [7] a...
We introduce a systematic approach to the problem of maximizing the robust utility of the terminal w...
We consider a general discrete-time financial market with proportional transaction costs as in [Kaba...
In this paper we deal with a utility maximization problem at finite horizon on a continuous-time mar...
AbstractThe effectiveness of utility-maximization techniques for portfolio management relies on our ...
We consider robust utility maximisation in continuous-time financial markets with proportional trans...
We propose a stochastic control approach to the dynamic maximization of robust utility functionals t...
AbstractWe propose a stochastic control approach to the dynamic maximization of robust utility funct...
This dissertation evolves around the following thematics: uncertainty, utility functions and no-arbi...
We analyze the stochastic control approach to the dynamic maximization of the robust utility of cons...
We give a review of classical and recent results on maximization of expected utility for an investor...
We treat a discrete-time asset allocation problem in an arbitrage-free, generically incomplete finan...
We consider an investor whose preferences are described by a concave nondecreasing function $U:(0,in...
We study a robust stochastic optimization problem in the quasi-sure setting in discrete-time. We sho...
We establish the existence of minimizers in a rather general setting of dynamic stochastic optimizat...
We consider a general discrete time financial market with proportional transaction costs as in [7] a...
We introduce a systematic approach to the problem of maximizing the robust utility of the terminal w...
We consider a general discrete-time financial market with proportional transaction costs as in [Kaba...
In this paper we deal with a utility maximization problem at finite horizon on a continuous-time mar...
AbstractThe effectiveness of utility-maximization techniques for portfolio management relies on our ...
We consider robust utility maximisation in continuous-time financial markets with proportional trans...
We propose a stochastic control approach to the dynamic maximization of robust utility functionals t...
AbstractWe propose a stochastic control approach to the dynamic maximization of robust utility funct...
This dissertation evolves around the following thematics: uncertainty, utility functions and no-arbi...
We analyze the stochastic control approach to the dynamic maximization of the robust utility of cons...
We give a review of classical and recent results on maximization of expected utility for an investor...
We treat a discrete-time asset allocation problem in an arbitrage-free, generically incomplete finan...
We consider an investor whose preferences are described by a concave nondecreasing function $U:(0,in...