Extended Weak Convergence and Utility Maximization with Proportional Transaction Costs
Erhan Bayraktar, Leonid Dolinskyi, Yan Dolinsky

TL;DR
This paper investigates utility maximization in financial markets with proportional transaction costs, proving convergence of optimization problems and strategies under extended weak convergence assumptions.
Contribution
It introduces a limit theorem for optimal trading strategies and applies extended weak convergence theory to utility maximization with transaction costs.
Findings
Convergence of utility maximization problems established
Limit theorem for optimal trading strategies proven
Application of extended weak convergence theory in finance
Abstract
In this paper we study utility maximization with proportional transaction costs. Assuming extended weak convergence of the underlying processes we prove the convergence of the corresponding utility maximization problems. Moreover, we establish a limit theorem for the optimal trading strategies. The proofs are based on the extended weak convergence theory developed in [1] and the Meyer--Zheng topology introduced in [24].
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Taxonomy
TopicsEconomic theories and models · Stochastic processes and financial applications · Mathematical Dynamics and Fractals
