On stochastic non-linear discounting

We consider the problem of non-linear discounting in a stochastic formulation, and show that under some natural assumptions it reduces to a standard stochastic optimal control problem with minimizing total costs. The idea of such a reduction appeared in Piunovskiy, Presman, Zhang and Zheng (Annals of Operations Research, 2025, in press, doi.org/10.1007/s10479-025-06540-9). Here we present a more general formulation. Moreover, for the resulting stochastic optimal control problem, we, not only prove the existence of an optimal strategy, but also indicate the method for constructing it.

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Publication Details

Journal
Operations Research Letters
Published
2026-01-21
DOI
https://doi.org/10.1016/j.orl.2026.107412
Primary Topic
Risk and Portfolio Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

On stochastic non-linear discounting

Ė. L. Presman, Yi Zhang
Operations Research Letters
Risk and Portfolio Optimization
article

On stochastic non-linear discounting

Ė. L. Presman, Yi Zhang
article en

Abstract

We consider the problem of non-linear discounting in a stochastic formulation, and show that under some natural assumptions it reduces to a standard stochastic optimal control problem with minimizing total costs. The idea of such a reduction appeared in Piunovskiy, Presman, Zhang and Zheng (Annals of Operations Research, 2025, in press, doi.org/10.1007/s10479-025-06540-9). Here we present a more general formulation. Moreover, for the resulting stochastic optimal control problem, we, not only prove the existence of an optimal strategy, but also indicate the method for constructing it.

Operations Research LettersVol. 65
Central Economics and Mathematics Institute (RU), University of Birmingham (GB)
National Natural Science Foundation of China, Sun Yat-sen University
Openalex Percentile: Top 83%
Risk and Portfolio Optimization
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