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dc.contributor.advisorMirete Ferrer, Pedro Manuel
dc.contributor.authorSánchez Puebla, Iván
dc.contributor.otherUniversidad Pontificia Comillas, Facultad de Empresariales (ICADE)es_ES
dc.date.accessioned2018-11-05T11:02:27Z
dc.date.available2018-11-05T11:02:27Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/11531/32883
dc.descriptionMáster Universitario en Finanzases_ES
dc.description.abstractIn this thesis, the main reasons and motivations for enabling a valuation process are disclosed, as well as it is the definition and specification of the different valuation methods, commonly used for similar companies and sectors, such as the Discounted Cash Flow, the Multiples and the Price to Earnings Ratio methods. It is important to take in consideration that the value of the company may change depending on the method used to evaluate the company. The same way, the different tools needed in order to understand either the economic situation, the sector insights and performance, or the company economic and financial information, will be provided during the development of this thesis. The determination of the value is a critical factor for the company so it is the main driver in terms of investment allocation. The aim of this project is to develop the valuation methodology needed to determine the value of the company Tesla Motors. The valuation methodology will be based on the utilization of multiples from the sector and similar companies and the discounted cash flow, all to determine the final value of the share of the company and make the decision of either buy, hold or sell.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenes_ES
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subject53 Ciencias económicases_ES
dc.subject5311 Organización y dirección de empresases_ES
dc.subject531102 Gestión financieraes_ES
dc.subject5312 Economía sectoriales_ES
dc.subject531210 Investigación y desarrolloes_ES
dc.titleTesla valuation thesises_ES
dc.typeinfo:eu-repo/semantics/masterThesises_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States