Resolution-Aware Perpetual Futures on Binary Prediction Markets: An Empirical Risk-Design Framework Using Polymarket Data
Maksym Nechepurenko

TL;DR
This paper introduces a resolution-aware risk-design framework for perpetual binary prediction-market futures, empirically evaluated using Polymarket data, highlighting its strengths and limitations in real-world scenarios.
Contribution
It proposes a novel, comprehensive risk-management framework tailored for perpetual futures on binary prediction markets, with empirical validation and analysis of its practical constraints.
Findings
Boundary depth asymmetry and terminal-jump magnitude pass stylized facts.
Final-hour liquidation reduces pooled PnL by 6%, drawdown by 5.1%.
Final-hour halt construction results in 80% liquidation, with increased bad-debt frequency.
Abstract
We develop and counterfactually evaluate a resolution-aware risk-design framework (PIRAP) for perpetual futures whose underlying tracks a single binary prediction-market probability through resolution. The framework specifies six components: an index estimator combining mid-price, depth-weighted mid, and time-decayed VWAP; jump-aware tiered margin sized against bounded-event terminal-collapse magnitude; leverage compression schedule contracting toward resolution; resolution-aware funding rule with boundary-aware correction; a multi-stage halt protocol; and an eligibility framework. Two formal non-portability propositions establish that standard basis-only funding paired with continuous-vol static margin fails on bounded-event underlyings. Empirical evaluation uses Polymarket's PMXT v2 archive for 2026-04-21 to 2026-04-27 (13,298-market analysis sample passing adequacy gates from 61,087…
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