معرفی
Alessandro Staino is an Associate Professor in the Department of Economics, Statistics and Finance at the University of Calabria, where he teaches Mathematical Methods for Economics and Mathematics for Finance and Actuarial Science across multiple degree programs including Statistics for Data Science, Finance and Insurance, and Business Administration.
His educational background includes:
- Degree in Statistical and Actuarial Science from the University of Calabria
- MPhil from Brunel University
- PhD from the University of Bergamo
- Postdoctoral fellowship at the University of Palermo
Staino's research centers on mathematical finance and actuarial science, with core expertise in contingent claims pricing, risk management, and portfolio optimization. He develops advanced lattice-based models to address complex financial and insurance problems under stochastic correlation and volatility frameworks, contributing significantly to life insurance pricing and derivative valuation methodologies.
His recent publications (2023-2025) reveal a consistent focus on lattice-based approaches for pricing insurance products and financial derivatives under multiple risk factors. These works integrate stochastic correlation, fractional Brownian motions, and robust covariance estimation to solve problems in life insurance, mortality bonds, and variable annuities, demonstrating strong interdisciplinary connections between actuarial science, quantitative finance, and computational mathematics.
No scientific awards were mentioned in the provided information.
While specific advising details and grant information were not documented in the scraped text, his collaborative research patterns indicate active engagement with international scholars across finance and actuarial domains.
Staino is an integral member of the Quantitative Methods for Economics, Finance and Management research group at DESF, which develops mathematical programming models, econometric techniques, and statistical tools for decision-making in finance, actuarial science, industrial economics, transport, and logistics.
