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Election predictions are arbitrage-free: response to Taleb
Authors:Aubrey Clayton
Institution:1. Harvard University Division of Continuing Education, Cambridge, MA, USAaubreyiclayton@gmail.com
Abstract:Taleb Election predictions as martingales: An arbitrage approach. Quant. Finance, 2018, 18, 1–5] claimed a novel approach to evaluating the quality of probabilistic election forecasts via no-arbitrage pricing techniques and argued that popular forecasts of the 2016 U.S. Presidential election had violated arbitrage boundaries. We show that under mild assumptions all such political forecasts are arbitrage-free and that the heuristic that Taleb's argument was based on is false.
Keywords:Bayesian analysis  Arbitrage pricing  Forecasting applications  Probability theory  Martingales
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