Patrícia Ramos
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Recent Grants
Grant: Close
Additive Manufacturing for Hospitals Learning Program
Open Date: 2021-01-01
Close Date: 2021-12-31
Grant: Close
M-NEST-II - Network for Empowering People in Added-Value Manufacturing Systems and Technologies
Open Date: 2021-01-01
Close Date: 2021-12-31
Grant: Close
AI Sovereignty
Open Date: 2021-01-01
Close Date: 2021-12-31
Grant: Close
EIT Manufacturing RIS Hubs
Open Date: 2021-01-01
Close Date: 2022-12-31
Grant: Close
Supply Chain Forecasting for Retailing and Manufacturing - Centre for Marketing Analytics and Forecasting (Sabbatical Leave Grant)
Open Date: 2016-12-01
Close Date: 2017-07-31
Articles (8)
Socially responsible investments, also referred to as ethical or sustainable investments, have experienced rapid global growth in recent years. They represent an investment approach that incorporates social, environmental, and ethical considerations into decision-making processes. Consequently, the significance of socially responsible investments has captured the attention of academics, prompting inquiries into the impact of integrating social criteria on portfolio performance. The primary objective of this work was to conduct a comparative study of the performance between socially responsible and non-socially responsible investment funds, using funds domiciled in Portugal and Spain. Various multi-factor models, including the three-factor model of Fama and French, the four-factor model of Carhart, and the five-factor model of Fama and French, were employed to assess performance. The sample comprised 125 investment funds, with 43 identified as socially responsible and 82 as non-socially responsible. The study’s findings indicate that there are no significant differences between socially responsible funds and their conventional counterparts. The majority of funds experience performance alterations during periods of crisis compared to crisis-free periods. Additionally, when comparing non-conditional models with conditional models, an improvement in the explanatory power of the latter is observed. This suggests that the inclusion of the dummy variable enhances the quality of fit for the models.
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2024
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2023
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2023
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2023
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2022
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2022
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2022
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2022
Collaborators (21)
Luís M. P. Gomes
Professor Adjunto / Investigador
-
Robert Fildes
University of Lancaster
Christoph Bergmeir
Universidad de Granada
Nikolaos Kourentzes
University of Lancaster
MANUELA PEDIO
University of Bristol
Georgios Sermpinis
Professor of Finance
University of Glasgow
Shari De Baets
Assistant Professor
-
Sheik Meeran
University of Bath
Stephan Kolassa
University of Lancaster
Anastasios Panagiotelis
MONASH UNIVERSITY
Thordis Thorarinsdottir
Professor
University of Oslo
Joanne Ellison
University of Southampton
Jose Manuel Oliveira
Professor
Universidade do Porto Faculdade de Economia
Clara Cordeiro
Universidade do Algarve
Alessia Paccagnini
Tenured Assistant Professor / Lecturer
Dublin City University
Florian Ziel
Professor (full)
Universität Duisburg-Essen
Jooyoung Jeon
Associate Professor
KAIST
Luigi GROSSI
Full Professor
University of Padua
Renato Guseo
Full Professor
University of Padua
Piotr Fiszeder
Nicolaus Copernicus University in Toruń
Victor Richmond Jose
Professor
Georgetown University
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