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Sports analytics has gained rapid popularity in recent years and will likely continue to evolve. In this study, we construct predictive analytics models to forecast the NFL games outcomes in a season using decision trees and logistics regression. Several variables are used as predictors...
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The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
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Despite the copious number of statistical failure prediction models described in the literature, testing of whether …
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This study estimates the suitability of prediction markets (as instruments of internal control) by analyzing their …. Concurrently, 12 prediction markets were set up, in which the participants could buy and sell their forecasts 24 hours a day, seven … it would influence the survey indicators, the prediction market prices, and their sensitivity to misinformation. Finally …
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enable the prediction of the future through the analysis of financial time series and cross-sectional data that is collected …
Persistent link: https://www.econbiz.de/10014433748