GIUV2026-019

In an economic and financial context marked by structural uncertainty, non-linear dynamics, and increasing computational demands, the group focuses on the development of advanced quantitative methods for decision-making under risk. Its research combines tools from applied economics, optimization, and financial mathematics with emerging paradigms such as quantum computing, hybrid classical-quantum algorithms, and artificial intelligence. The group places particular emphasis on portfolio optimization, efficient allocation of scarce resources, and financial and systemic risk modelling, addressing large-scale problems that exceed the capabilities of conventional analytical and numerical approaches. Beyond methodological contributions, the research aims to generate transferable knowledge with direct applicability to economic analysis, business decision-making, and regulatory and supervisory frameworks.

https://www.uv.es/uvweb/universidad/es/ficha-persona-1285950309813.html?p2=vicferpa&idA=

• Desarrollar métodos cuantitativos avanzados basados en algoritmia cuántica e híbrida para la optimización de carteras de inversión y la asignación eficiente de activos en entornos de alta incertidumbre.
• Implementar y evaluar técnicas de mitigación de errores y estrategias híbridas en arquitecturas cuánticas ruidosas (NISQ), con el fin de garantizar la robustez y fiabilidad de los modelos económicos y financieros.
• Desarrollar métodos cuantitativos avanzados basados en algoritmia cuántica e híbrida para la optimización de carteras de inversión y la asignación eficiente de activos en entornos de alta incertidumbre.
• Impulsar la transferencia de conocimiento y tecnología al tejido productivo mediante el desarrollo de software especializado, herramientas de apoyo a la decisión y colaboraciones con empresas e instituciones del sector financiero.
• Desarrollar y aplicar modelos matemáticos y econométricos avanzados, integrando inteligencia artificial y aprendizaje automático con métodos cuantitativos clásicos, para el análisis de sistemas económicos complejos, la predicción de dinámicas de mercado y el apoyo a la toma de decisiones en economía aplicada y gestión empresarial.
• Desarrollar y analizar métodos avanzados de inferencia ecológica y estadística computacional, incorporando computación cuántica y algoritmia híbrida, para el estudio de comportamientos electorales agregados y el análisis de sistemas de votación electrónica (e-voting), con el fin de mejorar la precisión inferencial, la robustez de los modelos y la evaluación de la seguridad y transparencia de los procesos democráticos.

• Quantum Finance and Hybrid Algorithmics.Development and application of advanced quantitative methods for economic and financial optimization through variational quantum computing and hybrid classical¿quantum algorithms. This line focuses on portfolio optimization, derivative pricing, stochastic simulation, and risk management under uncertainty, exploring the potential of NISQ architectures and error-mitigation techniques to enhance computational efficiency and solution quality in complex financial environments.
• Operations Research, Applied Mathematics and Artificial Intelligence.Research on advanced mathematical models, operations research, and optimization under uncertainty, integrating artificial intelligence and quantum computing as computational and algorithmic acceleration tools. This line focuses on efficient resource allocation, stochastic programming, robust optimization, and decision support in applied economics and business management.
• Risk Modeling, Advanced Econometrics and Quantitative Regulation.Development of advanced econometric and mathematical models for the measurement, management, and simulation of economic and financial risk, integrating artificial intelligence and quantum computing for complex scenario analysis. This line includes applications in VaR, CVA, stress testing, and quantitative support for regulatory and supervisory frameworks.
• Ecological Inference, Computational Political Economy and E-Voting.Research on ecological inference, computational statistics, and mathematical modeling applied to the analysis of aggregated collective behavior and democratic processes. This line integrates artificial intelligence and quantum computing to enhance inferential accuracy, computational scalability, and model robustness, with applications in electoral studies, applied political economy, and the assessment of electronic voting (e-voting) systems.
• Decision Support Systems and Technology Transfer in Digital Economy.Design of decision support systems based on mathematical models, artificial intelligence, and quantum computing, aimed at transferring research results to the real economy. This line promotes the development of scientific software, advanced analytical tools, and applied solutions in economics, finance, governance, and digital public services.

• Applied Economics

• QUANTITATIVE METHODS
• MATHEMATICS
• STATISTICS
• QUANTUM ECONOMICS
• APPLIED ECONOMICS
• QUANTUM FINANCE
• RISK MANAGEMENT
• PORTFOLIO OPTIMIZATION
• QUANTUM COMPUTING