"Positional Dominance in Network Games: Equilibrium Conditions for Strategic Abstention from Velocity Competition"

Abstract We study a two-player infinite-horizon stochastic game on a capacitated linear distribution network in which one player commits capital to control key nodes — pipelines and storage hubs — while the rival invests in low-latency execution infrastructure. Using Markov Perfect Equilibrium with supply-demand shocks governed by a two-state volatility Markov chain, we establish the existence of a threshold σ* above which the positional player’s equilibrium payoff strictly exceeds that of the velocity-optimizing player. The advantage arises from private inventory signals and flow-redirection optionality that reaction speed cannot replicate in high-volatility regimes. We derive σ* analytically under a quadratic value function approximation, yielding σ* ≈ 0.665, and numerically via value iteration on a calibrated 8×8×8 state grid, yielding σ* ∈ [0.30, 0.36] after accounting for storage optionality and Markov persistence. Under U.S. energy midstream calibration, historical Permian–Cushing volatility of 0.35–0.42 exceeds this interval in approximately 68% of months over 2015–2024. An addendum documents the observation that the calibrated threshold lies near 1/3, a value that recurs across four independently derived operator systems; the recurrence is left as an open conjecture. JEL: C72, D43, L13, Q41 · MSC 2020: 53D10, 91B84, 91G80 · Keywords: network games, Markov perfect equilibrium, positional dominance, velocity competition, strategic abstention, commodity markets, contact geometry

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-28
DOI
https://doi.org/10.5281/zenodo.21013066
Primary Topic
Game Theory and Applications
Type
preprint
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preprint

"Positional Dominance in Network Games: Equilibrium Conditions for Strategic Abstention from Velocity Competition"

Pablo Nogueira Grossi
Zenodo (CERN European Organization for Nuclear Research)
Game Theory and Applications
preprint

"Positional Dominance in Network Games: Equilibrium Conditions for Strategic Abstention from Velocity Competition"

Pablo Nogueira Grossi
preprint en

Abstract

Abstract We study a two-player infinite-horizon stochastic game on a capacitated linear distribution network in which one player commits capital to control key nodes — pipelines and storage hubs — while the rival invests in low-latency execution infrastructure. Using Markov Perfect Equilibrium with supply-demand shocks governed by a two-state volatility Markov chain, we establish the existence of a threshold σ* above which the positional player’s equilibrium payoff strictly exceeds that of the velocity-optimizing player. The advantage arises from private inventory signals and flow-redirection optionality that reaction speed cannot replicate in high-volatility regimes. We derive σ* analytically under a quadratic value function approximation, yielding σ* ≈ 0.665, and numerically via value iteration on a calibrated 8×8×8 state grid, yielding σ* ∈ [0.30, 0.36] after accounting for storage optionality and Markov persistence. Under U.S. energy midstream calibration, historical Permian–Cushing volatility of 0.35–0.42 exceeds this interval in approximately 68% of months over 2015–2024. An addendum documents the observation that the calibrated threshold lies near 1/3, a value that recurs across four independently derived operator systems; the recurrence is left as an open conjecture. JEL: C72, D43, L13, Q41 · MSC 2020: 53D10, 91B84, 91G80 · Keywords: network games, Markov perfect equilibrium, positional dominance, velocity competition, strategic abstention, commodity markets, contact geometry

Zenodo (CERN European Organization for Nuclear Research)
GfK (United States) (US)
Industry, innovation and infrastructure
Game Theory and Applications
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