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dc.coverage.spatialMedellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degreeseng
dc.date.available2014-02-24T21:14:39Z
dc.date.issued2014-02-14
dc.identifier.urihttp://hdl.handle.net/10784/1315
dc.descriptionThis paper presents several "ex ante" simulation exercises of the 2014 FIFA World Cup. Specifically, we estimate the probabilities of each national team advancing to different stages, using a basic Bayesian approach based on conjugate families. In particular, we use the Categorical-Dirichlet model in the first round and the Bernoulli-Beta model in the following stages. The novelty of our framework is given by the use of betting odds to elicit the hyperparameters of prior distributions. Additionally, we obtain the posterior distributions with the Highest Density Intervals of the probability to being champion for each team. We find that Brazil (19.95%), Germany (14.68%), Argentina (12.05%), and Spain (6.2%) have the highest probabilities of being champion. Finally, we identify some betting opportunities with our simulation exercises. In particular, Bosnia & Herzegovina is a promising, whereas Australia shows the lowest betting opportunities return.eng
dc.language.isoengeng
dc.publisherUniversidad EAFITspa
dc.titleWhich team will win the 2014 FIFA World Cup? A Bayesian approach for dummieseng
dc.typeworkingPapereng
dc.typeinfo:eu-repo/semantics/workingPaper
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.publisher.departmentEscuela de Economía y Finanzasspa
dc.type.localDocumento de trabajo de investigaciónspa
dc.subject.keywordBayesian Approacheng
dc.subject.keywordConjugate Familieseng
dc.subject.keywordSimulationeng
dc.subject.keywordWorld Cupeng
dc.rights.localAcceso abiertospa
dc.date.accessioned2014-02-24T21:14:39Z
dc.type.hasVersiondrafteng
dc.identifier.jelC11
dc.identifier.jelC15
dc.identifier.jelC53
dc.contributor.authorRamírez Hassan, Andrésspa
dc.contributor.authorCardona Jiménez, Johnatanspa


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