Financial Structure, Product Market Decisions and Default Risk in an Asymmetric Duopoly

dc.contributor.authorCosta, Magali
dc.contributor.authorPires, Cesaltina
dc.contributor.editorPóvoa, Ana Paula Ferreira Dias Barbosa
dc.contributor.editorMiranda, João Luís
dc.date.accessioned2016-02-17T14:40:21Z
dc.date.available2016-02-17T14:40:21Z
dc.date.issued2015-10
dc.description.abstractFinancial and output market decisions are crucial to the success or failure of an organization. In this paper we analyze the equilibrium default risk in a two-stage duopoly model with an uncertain environment, where firms decide their financial structure in the first stage of the game and decide their quantities in the second stage of the game. Using numerical analysis, we analyze the impact of changing the asymmetry in the two firms' marginal costs on the equilibrium default risk. Our results show that as a firm becomes less efficient it is optimal to reduce its debt level and the quantity produced. The reverse is true for the more efficient firm. This behavior implies that although higher marginal cost leads to lower profits, the less efficient firm reduces its default probability due to a more cautious behavior in the financial and product market.por
dc.identifier.authoremailmagali.costa@ipleiria.pt
dc.identifier.authoremailcpires@uevora.pt
dc.identifier.doi10.1007/978-3-319-24154-8_6por
dc.identifier.scientificarea664por
dc.identifier.sharewithDepartamento de Gestãopor
dc.identifier.urihttp://link.springer.com/chapter/10.1007%2F978-3-319-24154-8_6#page-1
dc.identifier.urihttp://hdl.handle.net/10174/17397
dc.language.isoengpor
dc.publisherSpringer International Publishingpor
dc.rightsopenAccesspor
dc.subjectCapital structurepor
dc.subjectDefault riskpor
dc.subjectProduct market competitionpor
dc.titleFinancial Structure, Product Market Decisions and Default Risk in an Asymmetric Duopolypor
dc.typebookPartpor
degois.publication.firstPage41por
degois.publication.lastPage48por
degois.publication.titleOperations Research and Big Datapor
degois.publication.volumeStudies in Big Data, 15por

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