Lobo, Carla Azevedo

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Lobo

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Carla Azevedo

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Carla Azevedo Lobo

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Carla Azevedo Lobo é doutorada em Gestão pela Universidade Portucalense. É Professora Auxiliar da Universidade Portucalense e leciona em cursos de Licenciatura, Mestrado e Doutoramento, na área das Ciências Empresariais. É também Coordenadora do Curso de Licenciatura em Gestão, desde 2010. É investigadora do REMIT (Research on Economics, Management and Information Technologies). Foi a Investigadora Responsável do Projeto de Investigação ("IEcPBI”) na área dos Negócios Internacionais, financiado pelo COMPETE 2020, FEDER e FCT, entre 2018 - 2022. Afiliação: Investigadora do REMIT - Research on Economics, Management and Information Technologies (departamento: DEG)

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0000-0002-6721-376X
2E1D-CA98-5832
57210261298
G-9840-2016

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REMIT – Research on Economics, Management and Information Technologies
Centro de investigação que que tem como objetivo principal produzir e disseminar conhecimento teórico e aplicado que possibilite uma maior compreensão das dinâmicas e tendências económicas, empresariais, territoriais e tecnológicas do mundo contemporâneo e dos seus efeitos socioeconómicos. O REMIT adota uma perspetiva multidisciplinar que integra vários domínios científicos: Economia e Gestão; Ciências e Tecnologia; Turismo, Património e Cultura. Founded in 2017, REMIT – Research on Economics, Management and Information Technologies is a research unit of Portucalense University. Based on a multidisciplinary and interdisciplinary perspective it aims at responding to social challenges through a holistic approach involving a wide range of scientific fields such as Economics, Management, Science, Technology, Tourism, Heritage and Culture. Grounded on the production of advanced scientific knowledge, REMIT has a special focus on its application to the resolution of real issues and challenges, having as strategic orientations: - the understanding of local, national and international environment; - the development of activities oriented to professional practice, namely in the business world.

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Has files: trueEnd date: 2019Start date: 2012Document Type: journal article

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    PublicationOpen Access
    Interest rate dynamic models: Evidence from Iberian markets
    2018 - Pinho, Carlos; Rodríguez de Prado, Francisco; Lobo, Carla Azevedo; Maldonado, Isabel
    In this paper we investigate the yield curve forecasting performance of dynamic models combining yield curve factors and macroeconomic variables. We test dynamic models using sovereign debt data, inflation rate and annual variation of the industrial production index for Portugal and Spain. We also explore the dynamic correlations between the yield curve factors of the countries under analysis. Results indicate that the consideration of macroeconomic factors has a positive contribution to the improvement of forecasts. The analysis shows a strong correlation between the two countries level factor and important changes in the curvature factor correlations associated with international crisis episodes.