Maria Elvira Mancino

Maria Elvira Mancino

Università degli Studi di Firenze

H-index: 14

Europe-Italy

About Maria Elvira Mancino

Maria Elvira Mancino, With an exceptional h-index of 14 and a recent h-index of 10 (since 2020), a distinguished researcher at Università degli Studi di Firenze, specializes in the field of quantitative finance, probability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Volatility of volatility estimation: central limit theorems for the Fourier transform estimator and empirical study of the daily time series stylized facts

Assessing the Impact of Credit Risk on Equity Options via Information Contents and Compound Options

Identifying the number of latent factors of stochastic volatility models

Symmetric positive semi-definite Fourier estimator of instantaneous variance-covariance matrix

Rate-efficient asymptotic normality for the Fourier estimator of the leverage process

Asymptotic Normality for the Fourier spot volatility estimator in the presence of microstructure noise

On asset-allocation and high-frequency data: are there financial gains from using different covariance estimators?

A fractional model for the COVID-19 pandemic: Application to Italian data

Maria Elvira Mancino Information

University

Position

Professor

Citations(all)

1134

Citations(since 2020)

375

Cited By

954

hIndex(all)

14

hIndex(since 2020)

10

i10Index(all)

18

i10Index(since 2020)

10

Email

University Profile Page

Università degli Studi di Firenze

Google Scholar

View Google Scholar Profile

Maria Elvira Mancino Skills & Research Interests

quantitative finance

probability

Top articles of Maria Elvira Mancino

Title

Journal

Author(s)

Publication Date

Volatility of volatility estimation: central limit theorems for the Fourier transform estimator and empirical study of the daily time series stylized facts

Journal of Financial Econometrics

Giacomo Toscano

Giulia Livieri

Maria Elvira Mancino

Stefano Marmi

2024/1/1

Assessing the Impact of Credit Risk on Equity Options via Information Contents and Compound Options

Risks

Federico Maglione

Maria Elvira Mancino

2023/10/20

Identifying the number of latent factors of stochastic volatility models

Available at SSRN 4422326

Erindi Allaj

Maria Elvira Mancino

Simona Sanfelici

2023/4/18

Symmetric positive semi-definite Fourier estimator of instantaneous variance-covariance matrix

arXiv preprint arXiv:2304.04372

Jirô Akahori

Nien-Lin Liu

Maria Elvira Mancino

Tommaso Mariotti

Yukie Yasuda

2023/4/10

Rate-efficient asymptotic normality for the Fourier estimator of the leverage process

Statistics and Its interface

Maria Elvira Mancino

Giacomo Toscano

2022

Asymptotic Normality for the Fourier spot volatility estimator in the presence of microstructure noise

arXiv preprint arXiv:2209.08967

Maria Elvira Mancino

Tommaso Mariotti

Giacomo Toscano

2022/9/19

On asset-allocation and high-frequency data: are there financial gains from using different covariance estimators?

Communications in Statistics-Simulation and Computation

Erindi Allaj

Maria Elvira Mancino

2021/12/2

A fractional model for the COVID-19 pandemic: Application to Italian data

Stochastic Analysis and Applications

Elisa Alòs

Maria Elvira Mancino

Raúl Merino

Simona Sanfelici

2021/9/3

The Fourier volatility estimation method and some applications

Maria Elvira Mancino

2021/7/7

Is the variance swap rate affine in the spot variance? Evidence from S&P500 data

Applied Mathematical Finance

Maria Elvira Mancino

Simone Scotti

Giacomo Toscano

2020/7/3

Non-parametric computation of Greeks using high frequency data

RISKS

Maria Elvira Mancino

Simona Sanfelici

2020

Identifying financial instability conditions using high frequency data

Journal of Economic Interaction and Coordination

Maria Elvira Mancino

Simona Sanfelici

2020/1

Nonparametric Malliavin–Monte Carlo Computation of Hedging Greeks

Risks

Maria Elvira Mancino

Simona Sanfelici

2020/11/13

See List of Professors in Maria Elvira Mancino University(Università degli Studi di Firenze)