The Signal Credibility Index for Prediction Markets: A Microstructure-Grounded Diagnostic with Weighted and Time-Varying Extensions
Maksym Nechepurenko

TL;DR
This paper develops and validates the Signal Credibility Index (SCI), a diagnostic tool for assessing the informational content of prediction-market price moves, incorporating weighted, time-varying, and microstructure-based extensions.
Contribution
It introduces a revised persistence component, a weighted SCI form, a real-time monitoring version, and comprehensive Monte Carlo validation for the SCI.
Findings
The SCI discriminates microstructure regimes effectively.
Validation shows the SCI targets coordination credibility, not external coordination effects.
Identifies failure modes like whale repricing and multi-wallet manipulation.
Abstract
Prediction-market price moves are widely treated as informationally equivalent: a price jump is read the same way regardless of whether it reflects durable Bayesian updating, transient liquidity pressure, strategic position adjustment, or genuine disagreement. This paper formalizes the Signal Credibility Index (SCI) introduced in Nechepurenko (2026) as a stand-alone diagnostic. We make four contributions: (i) a revised persistence component using the persistence ratio PR(t,w) on logit prices, well-defined on short rolling windows; (ii) a weighted Cobb-Douglas form SCI({\alpha}\alpha {\alpha}) with flow-based concentration HHI_flow; (iii) a time-varying specification SCI(t; w) for real-time monitoring; and (iv) Monte Carlo validation including an out-of-distribution stress test, coordinated multi-wallet manipulation, and a logistic-regression benchmark. The validation establishes…
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