AI & ML
Time-Varying Favorite-Longshot Bias in Polymarket Weather Markets
arXiv cs.DB0 views
arXiv:2610.13593v1 Announce Type: new Abstract: Prediction-market prices combine traders' judgments about future outcomes, but their errors may be concentrated in particular price ranges and change as settlement approaches. Prior cross-category evidence shows that Polymarket weather markets have larger pricing bias than other major categories, without separating low-price longshots from high-price favorites. This study compares the two ranges at different horizons in daily maximum-temperature markets. Event-level probability scores, cubic B-spline recalibration, and Buy-NO tests are used to examine the form and effect of the bias. Longshot overpricing mainly occurs at distant horizons, whereas favorite overpricing becomes much stronger during the final 1-12 hours and is nearly one order of magnitude larger. Event-level scores improve toward the daily temperature peak, while simple recalibration yields no statistically significant gains. The Buy-NO results in the corresponding time windows also show that the main pricing error is concentrated at the favorite end.
Source:https://arxiv.org/abs/2610.13593PreviousMatQuery: Execution-Grounded Natural-Language Querying over Heterogeneous Materials DatabasesNextProvQML: Efficient Provenance Capture for Machine Learning as Recursive Aggregate SQL [Extended Version]
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