Excited to share our new paper with @malleshpai@ciamac@Qiaoqiao2001 !
Two prediction markets can have the same price, yet very different uncertainty about where that price may move next. We develop a structural approach to quantifying and forecasting that uncertainty.
The paper is now on arXiv and I also built an interactive explorer where you can search across Kalshi markets and trace how the fitted uncertainty bands evolve over time: https://t.co/tIRiYjxLRY
๐จNew Paper with @Weiye_Xi , @ciamac and @Qiaoqiao2001
Hereโs two different prediction markets priced at ~6.5%:
1. Will the US confirm the existence of Aliens in 2026?
2. *that* Spurs @ Knicks Game 4, ~4th quarter.
They suggest that both these events are the same probability, but intuitively these feel very different: the latter (Knicks won!) feels a lot more uncertain. But prediction markets donโt immediately give us a way to quantify it.