MAR ARENAS-PARRA

Full Professor

University of Oviedo

Spain

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About

Mar Arenas-Parra is a Full Professor at Universidad de Oviedo, Spain. His research areas include machine learning applications in urban change and sustainable portfolio optimization, as well as environmental, social, and governance (ESG) performance in various industries. Recent publications explore topics such as the interaction between CEO power and ESG metrics, qualitative comparative analysis of governance practices, and student profiling through explainable analysis techniques.

Articles (19)

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2025

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2021

Collaborators (4)

Raquel Ibar Alonso

Profesor Contratado Doctor

Universidad Rey Juan Carlos

SPAIN

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Susana Álvarez-Otero

PROFESORA TITULAR DE UNIVERSIDAD

University of Oviedo

SPAIN

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María Cristina Mendaña Cuervo

Universidad de León

SPAIN

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Raquel González del Pozo

Universidad Complutense de Madrid

SPAIN

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MAR ARENAS-PARRA

Research Interests

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About

Articles (19)

Board Capital and CEO Power Configurations to Promote ESG Performance: The Case of the European Banking Industry

Mapping urban change: An explainable machine learning approach to census unit classification and evolution

A proposal for refining the ESG methodology used by rating agencies

Uncovering student profiles. An explainable cluster analysis approach to PISA 2022

A Fuzzy-Set Qualitative Comparative Analysis for Understanding the Interactive Effects of Good Governance Practices and CEO Profiles on ESG Performance

The emerging field of Robo Advisor: A relational analysis

A comprehensive framework for explainable cluster analysis

Machine Learning for Sustainable Portfolio Optimization Applied to a Water Market

Analysis of the ‘Good’ performance indicators of Non-Governmental Development Organizations

Exploring the asymmetric impact of sustainability reporting on financial performance in the utilities sector: A longitudinal comparative analysis

Measuring the overall efficiency of SRI and conventional mutual funds by a diversification‐consistent DEA model

Is investing in the renewable energy stock market both financially and ESG efficient? A COVID-19 pandemic analysis

Is investing in the renewable energy stock market both financially and ESG efficient? A COVID-19 pandemic analysis

An extended best–worst multiple reference point method: application in the assessment of non-life insurance companies

An extended best-worst multiple reference point method: application in the assessment of non-life insurance companies

Opinion Mining of Green Energy Sentiment: A Russia-Ukraine Conflict Analysis

Opinion Mining of Green Energy Sentiment: A Russia-Ukraine Conflict Analysis

Measuring the overall efficiency of SRI and conventional mutual funds by a diversification-consistent DEA model

Incorporating preferential weights as a benchmark into a Sequential Reference Point Method

Collaborators (4)

Raquel Ibar Alonso

Susana Álvarez-Otero

María Cristina Mendaña Cuervo

Raquel González del Pozo

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