Matteo Barigozzi

Matteo Barigozzi

Università degli Studi di Bologna

H-index: 21

Europe-Italy

About Matteo Barigozzi

Matteo Barigozzi, With an exceptional h-index of 21 and a recent h-index of 19 (since 2020), a distinguished researcher at Università degli Studi di Bologna, specializes in the field of Time Series Analysis - High dimensional data - Factor models - Networks.

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

Asymptotic equivalence of Principal Component and Quasi Maximum Likelihood estimators in Large Approximate Factor Models

fnets: An R Package for Network Estimation and Forecasting via Factor-Adjusted VAR Modelling

Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices

Robust estimation of large factor models for tensor-valued time series

General Spatio-Temporal Factor Models for High-Dimensional Random Fields on a Lattice

Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review

Dynamic Factor Models: a Genealogy

Inferential theory for generalized dynamic factor models

Matteo Barigozzi Information

University

Position

Full Professor -

Citations(all)

2542

Citations(since 2020)

1463

Cited By

1701

hIndex(all)

21

hIndex(since 2020)

19

i10Index(all)

35

i10Index(since 2020)

30

Email

University Profile Page

Università degli Studi di Bologna

Google Scholar

View Google Scholar Profile

Matteo Barigozzi Skills & Research Interests

Time Series Analysis - High dimensional data - Factor models - Networks

Top articles of Matteo Barigozzi

Title

Journal

Author(s)

Publication Date

Asymptotic equivalence of Principal Component and Quasi Maximum Likelihood estimators in Large Approximate Factor Models

arXiv preprint arXiv:2307.09864

Matteo Barigozzi

2023/7/19

fnets: An R Package for Network Estimation and Forecasting via Factor-Adjusted VAR Modelling

arXiv preprint arXiv:2301.11675

Dom Owens

Haeran Cho

Matteo Barigozzi

2023/1/27

Hierarchical DCC-HEAVY Model for High-Dimensional Covariance Matrices

arXiv preprint arXiv:2305.08488

Emilija Dzuverovic

Matteo Barigozzi

2023/5/15

Robust estimation of large factor models for tensor-valued time series

arXiv preprint arXiv:2303.18163

Matteo Barigozzi

Yong He

Lingxiao Li

Lorenzo Trapani

2023/3/31

General Spatio-Temporal Factor Models for High-Dimensional Random Fields on a Lattice

arXiv preprint arXiv:2312.02591

Matteo Barigozzi

Davide La Vecchia

Hang Liu

2023/12/5

Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review

arXiv preprint arXiv:2303.11777

Matteo Barigozzi

2023/3/21

Dynamic Factor Models: a Genealogy

arXiv preprint arXiv:2310.17278

Matteo Barigozzi

Marc Hallin

2023/10/26

Inferential theory for generalized dynamic factor models

Journal of Econometrics

Matteo Barigozzi

Marc Hallin

Matteo Luciani

Paolo Zaffaroni

2023/3/13

FNETS: Factor-adjusted network estimation and forecasting for high-dimensional time series

Journal of Business & Economic Statistics

Matteo Barigozzi

Haeran Cho

Dom Owens

2023/10/3

Multidimensional dynamic factor models

arXiv preprint arXiv:2301.12499

Matteo Barigozzi

Filippo Pellegrino

2023/1/29

Factor Network Autoregressions

arXiv preprint arXiv:2208.02925

Matteo Barigozzi

Giuseppe Cavaliere

Graziano Moramarco

2022/8/4

Testing for common trends in nonstationary large datasets

Journal of Business & Economic Statistics

Matteo Barigozzi

Lorenzo Trapani

2022/6/16

On Estimation and Inference of Large Approximate Dynamic Factor Models via the Principal Component Analysis

arXiv preprint arXiv:2211.01921

Matteo Barigozzi

2022/11/3

Statistical Inference for Large-dimensional Tensor Factor Model by Iterative Projections

arXiv preprint arXiv:2206.09800

Yong He

Lingxiao Li

Lorenzo Trapani

2022/6

Modelling Large Dimensional Datasets with Markov Switching Factor Models

arXiv preprint arXiv:2210.09828

Matteo Barigozzi

Daniele Massacci

2022/10/18

Inference in heavy-tailed non-stationary multivariate time series

Journal of the American Statistical Association

Matteo Barigozzi

Giuseppe Cavaliere

Lorenzo Trapani

2022/9/26

An algebraic estimator for large spectral density matrices

Journal of the American Statistical Association

Matteo Barigozzi

Matteo Farnè

2024/1/2

Factoring in the micro: a transaction-level dynamic factor approach to the decomposition of export volatility

Matteo Barigozzi

Angelo Cuzzola

Marco Grazzi

Daniele Moschella

2021

Time-varying general dynamic factor models and the measurement of financial connectedness

Journal of Econometrics

Matteo Barigozzi

Marc Hallin

Stefano Soccorsi

Rainer von Sachs

2021/5/1

Large-dimensional Dynamic Factor Models: Estimation of Impulse–Response Functions with I(1) cointegrated factors

Journal of Econometrics

Matteo Barigozzi

Marco Lippi

Matteo Luciani

2021/4/1

See List of Professors in Matteo Barigozzi University(Università degli Studi di Bologna)

Co-Authors

H-index: 67
Gabor Lugosi

Gabor Lugosi

Universidad Pompeu Fabra

H-index: 53
Marc Hallin

Marc Hallin

Université Libre de Bruxelles

H-index: 30
Rainer von Sachs

Rainer von Sachs

Université Catholique de Louvain

H-index: 25
Giuseppe Cavaliere

Giuseppe Cavaliere

Università degli Studi di Bologna

H-index: 23
Marco Grazzi

Marco Grazzi

Università Cattolica del Sacro Cuore

H-index: 17
Christian Brownlees

Christian Brownlees

Universidad Pompeu Fabra

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