most citedNeural Network-Driven Volatility Drag Mitigation under Aggressive Leverage

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

q-fin.PM20261 cited

Neural Network-Driven Volatility Drag Mitigation under Aggressive Leverage

Christian Bongiorno, Efstratios Manolakis, Rosario Nunzio Mantegna

This paper introduces a compact reformulation of a modular end-to-end neural network for global minimum-variance portfolio optimization that decouples model complexity from both lo…

q-fin.PM2026

End-to-End Large Portfolio Optimization for Variance Minimization with Neural Networks through Covariance Cleaning

Christian Bongiorno, Efstratios Manolakis, Rosario Nunzio Mantegna

We develop a rotation-invariant neural network that provides the global minimum-variance portfolio by jointly learning how to lag-transform historical returns and marginal volatili…

q-fin.ST2026

Physics-Informed Singular-Value Learning for Cross-Covariances Forecasting in Financial Markets

Efstratios Manolakis, Christian Bongiorno, Rosario Nunzio Mantegna

Recent advances in nonlinear shrinkage yield asymptotically optimal cleaners for large covariance matrices and have been extended to empirical cross-covariances via singular-value…

q-fin.ST2025

Multivariate Distributions in Non-Stationary Complex Systems II: Empirical Results for Correlated Stock Markets

Anton J. Heckens, Efstratios Manolakis, Cedric Schuhmann +1

Multivariate Distributions are needed to capture the correlation structure of complex systems. In previous works, we developed a Random Matrix Model for such correlated multivariat…

q-fin.ST2025

Multivariate Distributions in Non-Stationary Complex Systems I: Random Matrix Model and Formulae for Data Analysis

Efstratios Manolakis, Anton J. Heckens, Benjamin Köhler +1

Risk assessment for rare events is essential for understanding systemic stability in complex systems. As rare events are typically highly correlated, it is important to study heavy…