A Real Options Model with Games Applied to the Rio de Janeiro Residential Real Estate Market

Purpose – To determine the optimal investment strategy in Nash equilibrium for the residential real estate market of Rio de Janeiro, considering the uncertainty in the demand for real estate and the number of active competitors in the market. Design/methodology/approach – A Real Options Game model w...

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Detalhes bibliográficos
Autores: de Almeida, Glaudiane Lilian, Dias, Marco Antonio Guimarães, Brandão, Luiz Eduardo T., Samanez, Carlos Patricio Mercado
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:Brasil
Recursos:Fundação Escola de Comércio Álvares Penteado (FECAP)
Repositorio:Revista Brasileira de Gestão de Negócios (Online)
Idioma:inglés
portugués
OAI Identifier:oai:ojs.emnuvens.com.br:article/3966
Acesso em linha:https://rbgn.fecap.br/RBGN/article/view/3966
Access Level:acceso abierto
Palavra-chave:Real Options
Game Theory
Investment under Uncertainty
Oligopolies
Opções Reais. Teoria dos Jogos. Investimento sob incerteza. Oligopólios.
Descrição
Resumo:Purpose – To determine the optimal investment strategy in Nash equilibrium for the residential real estate market of Rio de Janeiro, considering the uncertainty in the demand for real estate and the number of active competitors in the market. Design/methodology/approach – A Real Options Game model was developed. The parameters of the model were estimated with econometric tools using data from the Rio de Janeiro real estate market. Findings – The quantitative results obtained are intuitive in the sense that the larger the number of competitors, the lower the level of demand required for investment in new units, whereas the greater the volatility of demand, the greater the demand threshold for the investment to be optimal. Originality/value – This study modified the methodology of Grenadier (2002), providing a more adequate and robust specification of the uncertainty for the demand function, thus allowing more intuitive economic interpretations.