Prediction market inventories for Africa and Latin America topics are shaped more by settlement legibility than by public salience, with sports and elections favored over conflicts.
Market microstructure: A survey
2 Pith papers cite this work. Polarity classification is still indexing.
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PTMC is a proposed Monte Carlo estimator that generates market-outcome distributions by simulating continuous double-auction interactions among persona-conditioned neural-policy bots whose heterogeneity is drawn from a learned distribution.
citing papers explorer
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What Prediction Markets Can See: Market Formation, Settlement Legibility, and the Geography of Tradable Uncertainty in Africa and Latin America
Prediction market inventories for Africa and Latin America topics are shaped more by settlement legibility than by public salience, with sports and elections favored over conflicts.
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Persona-Trained Monte Carlo: Estimating Market-Outcome Distributions via Swarms of Persona-Conditioned Neural Policy Bots in a Limit Order Book
PTMC is a proposed Monte Carlo estimator that generates market-outcome distributions by simulating continuous double-auction interactions among persona-conditioned neural-policy bots whose heterogeneity is drawn from a learned distribution.