What If the Forecaster Knew? Assessing Forecast Reliability via Simulation

Author(s)

M. INÁCIO ^[1] ; R. IZBICKI ^[2] ; D. LOPES ^[3] ; M. A. DINIZ ^[4] ; L. E. SALASAR ^[5] ; J. C. P. FERREIRA ^[6]

Affiliation

^[1] University of São Carlos - Brasil

^[2] University of São Carlos - Brasil

^[3] University of São Carlos - Brasil

^[4] University of São Carlos - Brasil

^[5] University of São Carlos - Brasil

^[6] University of São Carlos - Brasil

• Document type: Journal article
• Source: Trends in Computational and Applied Mathematics; v. 23, n. 1, p. 175-192, 2022-04-04.

Abstract

ABSTRACT The FIFA Men’s World Cup (FWC) is the most important football (soccer) competition, attracting worldwide attention. A popular practice among football fans in Brazil is to organize contests in which each participant informs guesses on the final score of each match. The participants are then ranked according to some scoring rule. Inspired by these contests, we created a website to hold an online contest, in which participants were asked for their probabilities on the outcomes of upcoming matches of the FWC. After each round of the tournament, the ranking of all participants based on a proper scoring rule was published. In this article we estimate, by means of simulations, the ability of the best forecasters of our contest, considering that their good performances could be due to randomness. We also study the performance of some methods to aggregate individual forecasts, in order to study if some sort of wisdom of crowds (WOC) phenomenon was verified in the contest. (AU)

• FAPESP's process: 19/11321-9 - Neural networks in statistical inference problems
• Grantee: Rafael Izbicki
• Support Opportunities: Regular Research Grants