On convergence of forecasts in prediction markets

Nina Badulina, Dmitry Shatilovich, Mikhail Zhitlukhin
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Abstract

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.
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论预测市场中预测的趋同性
我们提出了一个预测市场的动态模型,在这个模型中,代理人预测一系列随机向量的值。主要结果表明,如果有代理人做出正确(或近似正确)的下期预测,那么市场的综合预测就会趋同于随机向量的下期条件预期。
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