Manipulation, Insider Information, and Regulation in Leveraged Event-Linked Markets
Maksym Nechepurenko

TL;DR
This paper develops a theoretical framework analyzing how leverage impacts manipulation incentives, informed trading, and regulation in event-linked prediction markets, highlighting asymmetric effects and regulatory challenges.
Contribution
It introduces a manipulation taxonomy distinguishing market-price and outcome manipulation, and synthesizes regulatory approaches across major jurisdictions.
Findings
Leverage scales market-price manipulation linearly.
Leverage shifts outcome manipulation cost-benefit threshold.
Leverage amplifies informed-trading rents in multiple ways.
Abstract
The introduction of leverage on prediction-market event contracts raises three structurally distinct questions that have not been addressed jointly: how leverage changes manipulation incentives, how it interacts with informed-trading rents, and how regulatory frameworks should respond. This paper develops a theoretical framework for the first two and a synthesis of the existing regulatory landscape for the third. The principal analytical move is a two-axis manipulation taxonomy distinguishing market-price manipulation from real-world outcome manipulation, where the manipulator affects the underlying event itself. Continuous-underlying derivative markets generally do not make outcome manipulation a venue-level payoff channel; event-linked markets do. Within this taxonomy, leverage plays asymmetric roles: it scales market-price manipulation linearly but shifts the cost-benefit threshold…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
