Decentralized Prediction Markets and Sports Books

ABSTRACT Prediction markets allow traders to bet on potential future outcomes. These markets exist for weather, political, sports, and economic forecasting. Within this work, we consider a decentralized framework for prediction markets using automated market makers (AMMs). Specifically, we construct a liquidity‐based AMM structure for prediction markets that, under reasonable axioms on the underlying utility function, satisfy meaningful financial properties on the cost of betting and the resulting pricing oracle. Importantly, we study how liquidity can be pooled or withdrawn from the AMM and the resulting implications for the market behavior. In considering this decentralized framework, we additionally propose financially meaningful fees that can be collected for trading to compensate the liquidity providers for their vital market function.

Authors

Institutions

Publication Details

Journal
Mathematical Finance
Published
2025-11-14
DOI
https://doi.org/10.1111/mafi.70017
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decentralized Prediction Markets and Sports Books

Zachary Feinstein, Maxim Bichuch, Hamed Amini
Mathematical Finance
Sports Analytics and Performance
article

Decentralized Prediction Markets and Sports Books

Zachary Feinstein, Maxim Bichuch, Hamed Amini
article en

Abstract

ABSTRACT Prediction markets allow traders to bet on potential future outcomes. These markets exist for weather, political, sports, and economic forecasting. Within this work, we consider a decentralized framework for prediction markets using automated market makers (AMMs). Specifically, we construct a liquidity‐based AMM structure for prediction markets that, under reasonable axioms on the underlying utility function, satisfy meaningful financial properties on the cost of betting and the resulting pricing oracle. Importantly, we study how liquidity can be pooled or withdrawn from the AMM and the resulting implications for the market behavior. In considering this decentralized framework, we additionally propose financially meaningful fees that can be collected for trading to compensate the liquidity providers for their vital market function.

Mathematical Finance
Stevens Institute of Technology (US), Buffalo State University (US), University of Florida (US), University at Buffalo, State University of New York (US)
Openalex Percentile: Top 58%
Sports Analytics and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.