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lea.petrella@uniroma1.it
Lea Petrella
Professore Ordinario
Struttura:
DIPARTIMENTO DI METODI E MODELLI PER L'ECONOMIA, IL TERRITORIO E LA FINANZA
E-mail:
lea.petrella@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Hypotheses testing in mixed–frequency volatility models: a bootstrap approach
Book of Short Papers SIS 2021
2021
Forecasting VaR and ES using a joint quantile regression and its implications in portfolio allocation
JOURNAL OF BANKING & FINANCE
2021
Multivariate Analysis of Energy Commodities during the COVID-19 Pandemic: Evidence from a Mixed-Frequency Approach
RISKS
2021
Unconditional M-quantile regression
2021
Nonthyroidal illness syndrome (NTIS) in severe COVID-19 patients: role of T3 on the Na/K pump gene expression and on hydroelectrolytic equilibrium
JOURNAL OF TRANSLATIONAL MEDICINE
2021
Conditional Quantile Estimation for Linear ARCH Models with MIDAS Components
Mathematical and Statistical Methods for Actuarial Sciences and Finance eMAF2020
2021
Quantile Regression Neural Network for Quantile Claim Amount Estimation
Mathematical and Statistical Methods for Actuarial Sciences and Finance: eMAF2020
2021
Forecasting Multiple VaR and ES Using a Dynamic Joint Quantile Regression with an Application to Portfolio Optimization
Mathematical and Statistical Methods for Actuarial Sciences and Finance eMAF2020
2021
Option Pricing, Zero Lower Bound, and COVID-19
RISKS
2021
Multivariate Analysis of Energy Commodities during the COVID-19 Pandemic: Evidence from a Mixed-Frequency Approach
RISKS
2021
3D Reconstruction Model of an Extra-Abdominal Desmoid Tumor: A Case Study
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
2020
Sectoral Decomposition of CO2WorldEmissions: A Joint QuantileRegression Approach
INTERNATIONAL REVIEW OF ENVIRONMENTAL AND RESOURCE ECONOMICS
2020
Adding MIDAS terms to Linear ARCH models in a Quantile Regression framework
Book of short Papers SIS 2020
2020
Using mixed-frequency and realized measures in quantile regression
2020
Multivariate Mixed Hidden Markov Model for joint estimation of multiple quantiles
2020
GLASSO Estimation of Commodity Risks
2020
Dynamic Quantile Regression Forest
2020
Unified Bayesian conditional autoregressive risk measures using the skew exponential power distribution
STATISTICAL METHODS & APPLICATIONS
2020
Large deviations for method-of-quantiles estimators of one-dimensional parameters
COMMUNICATIONS IN STATISTICS. THEORY AND METHODS
2020
Joint estimation of conditional quantiles in multivariate linear regression models with an application to financial distress
JOURNAL OF MULTIVARIATE ANALYSIS
2019
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Progetti di Ricerca
Generalized Dynamic Graphical Models for the impact of the COVID-19 pandemic on financial markets.
Penalized quantile regression for risk assessment
Multivariate quantile regression, new perspective
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