Abel Rubio Fornes

Abel Rubio Fornes is a researcher affiliated with the Faculty of Mathematics at the Universitat de València, specifically in the Department of Statistics and Operational Research. He earned his PhD in 2020 with a thesis on fuzzy prediction models and algorithms, supervised by Dr. Enriqueta Vercher González and Dr. José Domingo Bermúdez Edo.

• Institution: Universitat de València
• School: Faculty of Mathematics
• Department: Department of Statistics and Operational Research
• PhD: 2020, Universitat de València

His research focuses on statistical modeling, fuzzy logic, and computational finance, particularly in forecasting portfolio returns using advanced time series techniques. His work bridges mathematical statistics with practical financial applications, emphasizing uncertainty quantification and predictive accuracy.

The available publications show a strong trend in applying fuzzy systems to financial forecasting, with a secondary contribution to computational physics methods in an earlier work. This indicates an interdisciplinary profile with a core in applied statistics and optimization.

He has not received any scientific awards mentioned in the provided data.

Rubio Fornes has advised or collaborated with researchers in quantitative finance and has co-authored significant works, though no formal students are listed. His research is supported by collaborations within the statistics and operational research community at his institution.

He is associated with research groups focusing on statistical modeling and financial applications, though specific lab names are not provided.