Patrícia Ramos

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Polytechnic Institute of Porto
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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.

Year:

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

Year:

2022

Collaborators (21)

Luís M. P. Gomes

Professor Adjunto / Investigador

-

PORTUGAL
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Robert Fildes

University of Lancaster

UNITED KINGDOM
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Christoph Bergmeir

Universidad de Granada

SPAIN
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Nikolaos Kourentzes

University of Lancaster

UNITED KINGDOM
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MANUELA PEDIO

University of Bristol

UNITED KINGDOM
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Georgios Sermpinis

Professor of Finance

University of Glasgow

UNITED KINGDOM
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Shari De Baets

Assistant Professor

-

NETHERLANDS
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Sheik Meeran

University of Bath

UNITED KINGDOM
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Stephan Kolassa

University of Lancaster

UNITED KINGDOM
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Anastasios Panagiotelis

MONASH UNIVERSITY

AUSTRALIA
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Thordis Thorarinsdottir

Professor

University of Oslo

NORWAY
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Joanne Ellison

University of Southampton

UNITED KINGDOM
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Jose Manuel Oliveira

Professor

Universidade do Porto Faculdade de Economia

PORTUGAL
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Clara Cordeiro

Universidade do Algarve

PORTUGAL
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Alessia Paccagnini

Tenured Assistant Professor / Lecturer

Dublin City University

IRELAND
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Florian Ziel

Professor (full)

Universität Duisburg-Essen

GERMANY
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Jooyoung Jeon

Associate Professor

KAIST

SOUTH KOREA
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Luigi GROSSI

Full Professor

University of Padua

ITALY
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Renato Guseo

Full Professor

University of Padua

ITALY
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Piotr Fiszeder

Nicolaus Copernicus University in Toruń

POLAND
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Victor Richmond Jose

Professor

Georgetown University

UNITED STATES
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