Trading in CEXs and DEXs with Priority Fees and Stochastic Delays

Fuente: arXiv
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Autores principales: Bergault, Philippe, Hafsi, Yadh, Sánchez-Betancourt, Leandro
Formato: Preprint
Publicado: 2026
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author Bergault, Philippe
Hafsi, Yadh
Sánchez-Betancourt, Leandro
author_facet Bergault, Philippe
Hafsi, Yadh
Sánchez-Betancourt, Leandro
contents We develop a mixed control framework that combines absolutely continuous controls with impulse interventions subject to stochastic execution delays. The model extends current impulse control formulations by allowing (i) the controller to choose the mean of the stochastic delay of their impulses, and allowing (ii) for multiple pending orders, so that several impulses can be submitted and executed asynchronously at random times. The framework is motivated by an optimal trading problem between centralized (CEX) and decentralized (DEX) exchanges. In DEXs, traders control the distribution of the execution delay through the priority fee paid, introducing a fundamental trade-off between delays, uncertainty, and costs. We study the optimal trading problem of an agent exploiting trading signals in CEXs and DEXs. From a mathematical perspective, we derive the associated dynamic programming principle of this new class of impulse control problems, and establish the viscosity properties of the corresponding quasi-variational inequalities. From a financial perspective, our model provides insights on how to carry out execution across CEXs and DEXs, highlighting how traders manage latency risk optimally through priority fee selection. We show that employing the optimal priority fee has a significant outperformance over non-strategic fee selection.
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id arxiv_https___arxiv_org_abs_2602_10798
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Trading in CEXs and DEXs with Priority Fees and Stochastic Delays
Bergault, Philippe
Hafsi, Yadh
Sánchez-Betancourt, Leandro
Trading and Market Microstructure
Optimization and Control
We develop a mixed control framework that combines absolutely continuous controls with impulse interventions subject to stochastic execution delays. The model extends current impulse control formulations by allowing (i) the controller to choose the mean of the stochastic delay of their impulses, and allowing (ii) for multiple pending orders, so that several impulses can be submitted and executed asynchronously at random times. The framework is motivated by an optimal trading problem between centralized (CEX) and decentralized (DEX) exchanges. In DEXs, traders control the distribution of the execution delay through the priority fee paid, introducing a fundamental trade-off between delays, uncertainty, and costs. We study the optimal trading problem of an agent exploiting trading signals in CEXs and DEXs. From a mathematical perspective, we derive the associated dynamic programming principle of this new class of impulse control problems, and establish the viscosity properties of the corresponding quasi-variational inequalities. From a financial perspective, our model provides insights on how to carry out execution across CEXs and DEXs, highlighting how traders manage latency risk optimally through priority fee selection. We show that employing the optimal priority fee has a significant outperformance over non-strategic fee selection.
title Trading in CEXs and DEXs with Priority Fees and Stochastic Delays
topic Trading and Market Microstructure
Optimization and Control
url https://arxiv.org/abs/2602.10798