Rank-Size Analysis of Optimal Portfolio Weights Across Portfolio Optimization Models

Event: EURO 2025 - 32nd European Conference on Operational Research
Location: Leeds, United Kingdom
Date: June 23-25, 2025


This presentation introduces a novel rank-size analysis framework for comparing optimal portfolio weight distributions across different portfolio optimization models. The research provides innovative insights into portfolio concentration patterns and offers a systematic methodology for evaluating portfolio construction strategies.

Key Contributions:

  • Novel rank-size analysis approach for portfolio optimization
  • Comparative analysis of four portfolio strategies (Mean-Variance, CVaR, Most Diversified, Risk Parity)
  • Stochastic dominance methodology for model selection
  • Empirical analysis across major financial indices (2009-2023)

Methodology: The study employs various rank-size functions including the Exponential Law, Discrete Generalised Beta Distribution, and the Universal Law to model optimal weight distributions, with a robust selection methodology based on stochastic dominance applied to RMSE distributions.

Collaborative Research: This work represents a collaborative effort with researchers from Roma Tre University (Italy) and other international institutions, showcasing the international scope of the research collaboration.

Presentation Materials: Full presentation slides available for download (PDF format), including comprehensive data visualizations and empirical analysis results across multiple financial indices.

Valerio Ficcadenti
Valerio Ficcadenti
Associate Professor
Alessio Di Paolo
Visiting PhD Student
Prof. Francesco Cesarone
Professor of Finance
Prof. Roy Cerqueti
Professor of Economic and Social Sciences - Former PhD Supervisor