Marcelo C. Medeiros

About Marcelo C. Medeiros

Marcelo C. Medeiros, With an exceptional h-index of 32 and a recent h-index of 21 (since 2020), a distinguished researcher at Pontifícia Universidade Católica do Rio de Janeiro, specializes in the field of Econometrics.

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

Machine Learning Advances for Time Series Forecasting

Sharpe ratio analysis in high dimensions: Residual-based nodewise regression in factor models

Bridging factor and sparse models

Forecasting large realized covariance matrices: The benefits of factor models and shrinkage

Modeling the evolution of deaths from infectious diseases with functional data models: The case of COVID‐19 in Brazil

Counterfactual analysis and inference with nonstationary data

From zero to hero: Realized partial (co) variances

Global inflation forecasting: Benefits from machine learning methods

Marcelo C. Medeiros Information

University

Position

Professor Department of Economics

Citations(all)

5041

Citations(since 2020)

2324

Cited By

3535

hIndex(all)

32

hIndex(since 2020)

21

i10Index(all)

61

i10Index(since 2020)

39

Email

University Profile Page

Pontifícia Universidade Católica do Rio de Janeiro

Google Scholar

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Marcelo C. Medeiros Skills & Research Interests

Econometrics

Top articles of Marcelo C. Medeiros

Title

Journal

Author(s)

Publication Date

Machine Learning Advances for Time Series Forecasting

Journal of Economic Surveys

Ricardo P. Masini

Marcelo C. Medeiros

Eduardo F. Mendes

2023

Sharpe ratio analysis in high dimensions: Residual-based nodewise regression in factor models

Journal of Econometrics

Mehmet Caner

Marcelo Medeiros

Gabriel FR Vasconcelos

2023/8/1

Bridging factor and sparse models

The Annals of Statistics

Jianqing Fan

Ricardo P Masini

Marcelo C Medeiros

2023/8

Forecasting large realized covariance matrices: The benefits of factor models and shrinkage

Journal of Financial Econometrics

Rafael P Alves

Diego S de Brito

Marcelo C Medeiros

Ruy M Ribeiro

2023/5/11

Modeling the evolution of deaths from infectious diseases with functional data models: The case of COVID‐19 in Brazil

Statistics in medicine

Julian AA Collazos

Ronaldo Dias

Marcelo C Medeiros

2023/3/30

Counterfactual analysis and inference with nonstationary data

Journal of Business & Economic Statistics

Ricardo Masini

Marcelo C Medeiros

2022/1/2

From zero to hero: Realized partial (co) variances

Journal of Econometrics

Tim Bollerslev

Marcelo C Medeiros

Andrew J Patton

Rogier Quaedvlieg

2022/12/1

Global inflation forecasting: Benefits from machine learning methods

Marcelo C Medeiros

Erik Christian Montes Schütte

Tobias Skipper Soussi

2022

Forecasting with machine learning methods

Marcelo C Medeiros

2022/9/8

Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction

Journal of the American Statistical Association

Jianqing Fan

Ricardo P. Masini

Marcelo C. Medeiros

2022

Regularized Estimation of High-Dimensional Vector AutoRegressions with Weakly Dependent Innovations

Journal of Time Series Analysis

Ricardo P Masini

Marcelo C Medeiros

Eduardo F Mendes

2022

Jumps in stock prices: New insights from old data

Journal of Financial Markets

James A Johnson

Marcelo C Medeiros

Bradley S Paye

2022/9/1

Short-term Covid-19 forecast for latecomers

International journal of forecasting

Marcelo C Medeiros

Alexandre Street

Davi Valladão

Gabriel Vasconcelos

Eduardo Zilberman

2022/4/1

The Impacts of Mobility on Covid-19 Dynamics: Using Soft and Hard Data

arXiv preprint arXiv:2110.00597

Leonardo Martins

Marcelo C Medeiros

2021/10/1

Supplementary Material for Counterfactual Analysis with Artificial Controls: Inference, High Dimensions and Nonstationarity

Ricardo Masini

Marcelo C Medeiros

2021/8/2

The Proper Use of Google Trends in Forecasting Models

arXiv preprint arXiv:2104.03065

Marcelo C Medeiros

Henrique F Pires

2021/4/7

Modeling and Forecasting Intraday Market Returns: a Machine Learning Approach

Iuri H. Ferreira

Marcelo C. Medeiros

2021/12

Forecasting inflation in a data-rich environment: the benefits of machine learning methods

Journal of Business & Economic Statistics

Marcelo C Medeiros

Gabriel FR Vasconcelos

Álvaro Veiga

Eduardo Zilberman

2021/1/2

Counterfactual analysis with artificial controls: Inference, high dimensions, and nonstationarity

Journal of the American Statistical Association

Ricardo Masini

Marcelo C Medeiros

2021/10/2

Lockdown effects in US states: an artificial counterfactual approach

arXiv preprint arXiv:2009.13484

Carlos B Carneiro

Iúri H Ferreira

Marcelo C Medeiros

Henrique F Pires

Eduardo Zilberman

2020/9/28

See List of Professors in Marcelo C. Medeiros University(Pontifícia Universidade Católica do Rio de Janeiro)

Co-Authors

H-index: 80
Michael McAleer

Michael McAleer

Erasmus Universiteit Rotterdam

H-index: 53
Dick van Dijk

Dick van Dijk

Erasmus Universiteit Rotterdam

H-index: 41
Jose M. Benitez

Jose M. Benitez

Universidad de Granada

H-index: 31
Tae-Hwy Lee

Tae-Hwy Lee

University of California, Riverside

H-index: 31
Marcio G.P. Garcia

Marcio G.P. Garcia

Pontifícia Universidade Católica do Rio de Janeiro

H-index: 29
Carlos Eduardo Pedreira

Carlos Eduardo Pedreira

Universidade Federal do Rio de Janeiro

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