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Main Authors: Badulina, Nina, Shatilovich, Dmitry, Zhitlukhin, Mikhail
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2402.16345
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author Badulina, Nina
Shatilovich, Dmitry
Zhitlukhin, Mikhail
author_facet Badulina, Nina
Shatilovich, Dmitry
Zhitlukhin, Mikhail
contents We propose a dynamic model of a prediction market in which agents predict the values of a sequence of random vectors. The main result shows that if there are agents who make correct (or asymptotically correct) next-period forecasts, then the aggregated market forecasts converge to the next-period conditional expectations of the random vectors.
format Preprint
id arxiv_https___arxiv_org_abs_2402_16345
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On convergence of forecasts in prediction markets
Badulina, Nina
Shatilovich, Dmitry
Zhitlukhin, Mikhail
Probability
Mathematical Finance
We propose a dynamic model of a prediction market in which agents predict the values of a sequence of random vectors. The main result shows that if there are agents who make correct (or asymptotically correct) next-period forecasts, then the aggregated market forecasts converge to the next-period conditional expectations of the random vectors.
title On convergence of forecasts in prediction markets
topic Probability
Mathematical Finance
url https://arxiv.org/abs/2402.16345