Antonella Basso

Antonella Basso serves as a Full Professor in the Department of Economics at Ca' Foscari University of Venice, specializing in mathematical methods of economics and actuarial and financial sciences (STAT-04/A). She is affiliated with the Research Institute for Complexity and maintains her office in the San Giobbe building where she holds regular office hours on Tuesdays from 2:00 pm to 5:00 pm CET.

Professor Basso's research expertise spans multiple domains of quantitative finance and economics, with particular emphasis on Financial Mathematics, Quantitative and Computational Finance, and Ethical Finance including ESG investments and green finance. She has pioneered the application of Data Envelopment Analysis (DEA) across diverse contexts from mutual funds and pension funds to museum evaluation. Her work increasingly explores the integration of Artificial Intelligence and Machine Learning techniques for economic applications, alongside traditional risk assessment methodologies. She also maintains significant research interests in art as a financial asset and alternative investment class.

Her recent publications (2019-2025) reveal a consistent research trajectory with growing emphasis on sustainable finance, alternative investments including art, and performance measurement in cultural institutions. Her work demonstrates sophisticated methodological approaches to portfolio optimization with volume-based liquidity constraints, ethical fund evaluation using metafrontier approaches, and innovative integration of DEA with Balanced Scorecard and AHP methodologies for comprehensive performance assessment.

As an educator, Professor Basso actively supervises undergraduate and master's theses on topics spanning financial mathematics, computational finance, insurance, and ethical finance applications. She requires preliminary discussions with students to ensure appropriate thesis topic alignment with research objectives and methodological capabilities.

Through her affiliation with the Research Institute for Complexity, she contributes to interdisciplinary research examining complex economic and financial systems through quantitative lenses, bridging theoretical mathematical approaches with practical financial applications across multiple sectors.