Diana BARRO

Position
Associate Professor
Telephone
041 234 6690 / 041 234 6938
E-mail
d.barro@unive.it
Scientific sector (SSD)
Metodi matematici dell'economia e delle scienze attuariali e finanziarie [STAT-04/A]
Website
www.unive.it/people/d.barro (personal record)
 https://sites.google.com/view/dianabarro
Office
Department of Economics
Website: https://www.unive.it/dep.economics
Where: San Giobbe
Office
Interdepartmental School of Economics, Languages and Entrepreneurship
Website: https://www.unive.it/sele
Where: Treviso - Palazzo San Paolo
Research Institute
Research Institute for Complexity

Barro D.; Corazza M.; Filograsso G. Environmental, social, and governance evaluation for European small and medium enterprises: A multicriteria approach in CORPORATE SOCIAL-RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT, vol. Version of Record online: 22 October 2024 - link esterno (ISSN 1535-3966)
DOI - URL correlato 2024, Journal Article - ARCA card: 10278/5084407


Barro, Diana; Basso, Antonella; Funari, Stefania; Visentin, Guglielmo Alessandro The Effects of the Introduction of Volume-Based Liquidity Constraints in Portfolio Optimization with Alternative Investments in MATHEMATICS, vol. 12, pp. 1-26 (ISSN 2227-7390)
DOI - URL correlato 2024, Journal Article - ARCA card: 10278/5067981


Barro, Diana; Corazza, Marco; Filograsso, Gianni A Robust Sustainability Assessment for SMEs Based on Multicriteria Decision Aiding , Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024, Springer, Cham, pp. 43-48 (ISBN 9783031642722; 9783031642739)
DOI 2024, Book Article - ARCA card: 10278/5068304


Barro, Diana; Basso, Antonella; Funari, Stefania; Visentin, Guglielmo Alessandro Art as a Financial Asset in Portfolio Allocation , Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024, Springer, Cham, pp. 37-42 (ISBN 9783031642722; 9783031642739)
DOI 2024, Book Article - ARCA card: 10278/5068303


Barro, Diana; Barzanti, Luca; Corazza, Marco; Nardon, Martina Input Relevance in Multi-Layer Perceptron for Fundraising , Mathematical and Statistical Methods for Actuarial Sciences and Finance. MAF 2024, Springer, Cham, pp. 31-36 (ISBN 9783031642722; 9783031642739)
DOI 2024, Book Article - ARCA card: 10278/5068305