A Taxonomy of Event-Linked Perpetual Futures: Design Axes, Failure Modes, and Empirical Evaluability
Maksym Nechepurenko
Papers from arXiv.org
Abstract:
The label event-linked perpetual often conflates mathematically different contracts. We replace a flat product list with a four-axis taxonomy: underlying geometry, temporal structure, settlement structure, and venue-oracle composition. The taxonomy covers a single binary probability, conditional ratios, event spreads, baskets, path functionals, liquidity indices, rolling sequences, and flow-only swaps. We derive a corrected inheritance map from the single-event case and prove six narrow results. Terminal shortfall depends on exact settlement support and collateral, not on a generic bounded-event label. Conditional ratios become locally ill-conditioned as the conditioning value approaches zero. Once one spread leg is final, the residual position is an affine single-leg exposure. Basket risk depends on feasible joint outcomes and weights, not leg count. Binary entropy settles deterministically to zero, whereas realized variation requires an explicit sampling and terminal-jump convention. Fixed-path replay does not identify deployment behavior when a liquidity contract changes its own reference process. No new empirical estimates are reported. We assign evidence grades and minimum data requirements to each design. The central conclusion is that no universal event-perpetual engine exists: each contract must separately define support, clocks, settlement, source hierarchy, and the controls implied by those choices.
Date: 2026-05, Revised 2026-07
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://arxiv.org/pdf/2605.10428 Latest version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2605.10428
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().