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dc.contributor.advisorTowner, Mitch
dc.contributor.authorVeltri, Anthony Joseph
dc.creatorVeltri, Anthony Joseph
dc.date.accessioned2022-08-24T03:29:57Z
dc.date.available2022-08-24T03:29:57Z
dc.date.issued2022
dc.identifier.citationVeltri, Anthony Joseph. (2022). Game Theory Optimal Strategies in NLH and its Economic Relevance (Bachelor's thesis, University of Arizona, Tucson, USA).
dc.identifier.urihttp://hdl.handle.net/10150/665882
dc.description.abstractThis paper uses PioSolver to analyze game theory optimal strategies in No Limit Texas Hold’em assuming a variety of range constructions. Positional advantage exists for the second mover (inposition player) which gives them a more balanced mixed strategy range and approximately 60% pot share. As range construction changes so do the equilibrium strategies and expected value. These results were then translated to technology markets in order to further examine game theory optimal strategies ad positional advantages. This advantage begins to decrease as technology (flops) become more dynamic and/or as markets evolve slowly (betting and raising strategy/rule nodes are restricted).
dc.language.isoen
dc.publisherThe University of Arizona.
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleGame Theory Optimal Strategies in NLH and its Economic Relevance
dc.typeElectronic Thesis
dc.typetext
thesis.degree.grantorUniversity of Arizona
thesis.degree.levelbachelors
thesis.degree.disciplineEconomics
thesis.degree.disciplineHonors College
thesis.degree.nameB.A.
refterms.dateFOA2022-08-24T03:29:57Z


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