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massimiliano.frezza@uniroma1.it
Massimiliano Frezza
Ricercatore
Struttura:
DIPARTIMENTO DI METODI E MODELLI PER L'ECONOMIA, IL TERRITORIO E LA FINANZA
E-mail:
massimiliano.frezza@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
An information theory approach to stock market liquidity
CHAOS
2024
Fair Volatility in the Fractional Stochastic Regularity Model
MAF 2024, Mathematical and Statistical Methods for Actuarial Sciences and Finance,
2024
Nonlinearity of the volume–volatility correlation filtered through the pointwise Hurst–Hölder regularity
COMMUNICATIONS IN NONLINEAR SCIENCE & NUMERICAL SIMULATION
2023
Rough volatility via the Lamperti transform
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
2023
Modelling H-Volatility with Fractional Brownian Bridge
Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF 2022
2022
Forecasting Value-at-Risk in turbulent stock markets via the local regularity of the price process
COMPUTATIONAL MANAGEMENT SCIENCE
2021
A distribution-based method to gauge market liquidity through scale invariance between investment horizons
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
2020
Stochastic dominance in the outer distributions of the alfa-efficiency domain
Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF 2020
2020
Fractal analysis of market (in)efficiency during the COVID-19
FINANCE RESEARCH LETTERS
2020
L’impatto della pandemia Covid-19 sull’efficienza dei mercati azionari
DEMOCRAZIA E DIRITTI SOCIALI
2020
The volume-volatility relationship: A fractal analysis for a stock index
MATHEMATICAL METHODS IN ECONOMICS AND FINANCE
2020
A distribution-based method to gauge market liquidity through scale invariance between investment horizons
Proceedings of the 12th International Conference of the ERCIM WG on Computational and Methodological Statistics
2019
Liquidity, Efficiency and the 2007-2008 Global Financial Crisis
ANNALS OF ECONOMICS AND FINANCE
2018
A fractal-based approach for modeling stock price variations
CHAOS
2018
Fractal stock markets: International evidence of dynamical (in)efficiency
CHAOS
2017
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