Eric Ghysels

Eric Ghysels

University of North Carolina at Chapel Hill

H-index: 74

North America-United States

About Eric Ghysels

Eric Ghysels, With an exceptional h-index of 74 and a recent h-index of 47 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of Financial Econometrics, Asset Pricing, Fintech, Nowcasting.

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

Panel data nowcasting: The case of price–earnings ratios

An Enhanced Hybrid HHL Algorithm

Tensor Pca for Factor Models

Nowcasting net asset values: The case of private equity

Spanning Latent and Observable Factors

In-sample asymptotics and across-sample efficiency gains for high frequency data statistics

Machine learning panel data regressions with heavy-tailed dependent data: Theory and application

Comment on: Price Discovery in High Resolution and the Analysis of Mixed Frequency Data

Eric Ghysels Information

University

Position

Bernstein Distinguished Professor of Economics and Kenan-Flagler Business School

Citations(all)

30031

Citations(since 2020)

9688

Cited By

22778

hIndex(all)

74

hIndex(since 2020)

47

i10Index(all)

207

i10Index(since 2020)

111

Email

University Profile Page

University of North Carolina at Chapel Hill

Google Scholar

View Google Scholar Profile

Eric Ghysels Skills & Research Interests

Financial Econometrics

Asset Pricing

Fintech

Nowcasting

Top articles of Eric Ghysels

Title

Journal

Author(s)

Publication Date

Panel data nowcasting: The case of price–earnings ratios

Journal of Applied Econometrics

Andrii Babii

Ryan T Ball

Eric Ghysels

Jonas Striaukas

2024/3

An Enhanced Hybrid HHL Algorithm

arXiv preprint arXiv:2404.10103

Jack Morgan

Eric Ghysels

Hamed Mohammadbagherpoor

2024/4/15

Tensor Pca for Factor Models

Available at SSRN 4791809

Andrii Babii

Eric Ghysels

Junsu Pan

2024/3/8

Nowcasting net asset values: The case of private equity

The Review of Financial Studies

Gregory W Brown

Eric Ghysels

Oleg R Gredil

2023/3/1

Spanning Latent and Observable Factors

Available at SSRN 4349003

Elena Andreou

Patrick Gagliardini

Eric Ghysels

Mirco Rubin

2023/2/5

In-sample asymptotics and across-sample efficiency gains for high frequency data statistics

Econometric Theory

Eric Ghysels

Per Mykland

Eric Renault

2023/2

Machine learning panel data regressions with heavy-tailed dependent data: Theory and application

Journal of Econometrics

Andrii Babii

Ryan T Ball

Eric Ghysels

Jonas Striaukas

2023/12/1

Comment on: Price Discovery in High Resolution and the Analysis of Mixed Frequency Data

Journal of Financial Econometrics

Eric Ghysels

2023/1/1

Quantum Computational Algorithms for Derivative Pricing and Credit Risk in a Regime Switching Economy

arXiv preprint arXiv:2311.00825

Eric Ghysels

Jack Morgan

Hamed Mohammadbagherpoor

2023/11/1

Econometrics of Machine Learning Methods in Economic Forecasting

Andrii Babii

Eric Ghysels

Jonas Striaukas

2023/8/21

Package ‘midasr’

Virmantas Kvedaras

Vaidotas Zemlys-Balevicius

MASS Imports

Matrix numDeriv

2022/10/13

High-dimensional Granger causality tests with an application to VIX and news

arXiv preprint arXiv:1912.06307

Andrii Babii

Eric Ghysels

Jonas Striaukas

2022

Machine learning time series regressions with an application to nowcasting

Journal of Business & Economic Statistics

Andrii Babii

Eric Ghysels

Jonas Striaukas

2022

Three Common Factors

Elena Andreou

Patrick Gagliardini

Eric Ghysels

Mirco Rubin

2022/4/1

Tensor Principal Component Analysis

Pan Zhou

Canyi Lu

Zhouchen Lin

2022/1/1

Panel Data Nowcasting in a Data-Rich Environment: The Case of Price-Earnings Ratios

Andrii Babii

Ryan T Ball

Eric Ghysels

Jonas Striaukas

2022

Real-time Forecasts of state and Local Government Budgets with an Application to the COVID-19 Pandemic

National tax journal

Eric Ghysels

Fotis Grigoris

Nazire Özkan

2022/12/1

Ambiguity with machine learning: An application to portfolio choice

Eric Ghysels

Yan Qian

Stephen Raymond

2021/11

Predicting the VIX and the volatility risk premium: The role of short-run funding spreads Volatility Factors

Journal of econometrics

Elena Andreou

Eric Ghysels

2021/2/1

Bitcoin and News Around the World in Twenty-Six Languages

Conference Paper, Crypto Assets Lab

Lucia Alessi

Eric Ghysels

Marco Petracco

Zhe Wang

2021

See List of Professors in Eric Ghysels University(University of North Carolina at Chapel Hill)

Co-Authors

H-index: 64
Massimiliano Marcellino

Massimiliano Marcellino

Università Commerciale Luigi Bocconi

H-index: 63
A. Ronald Gallant

A. Ronald Gallant

Penn State University

H-index: 61
Pierre Perron

Pierre Perron

Boston University

H-index: 52
Ravi Jagannathan

Ravi Jagannathan

North Western University

H-index: 45
Denise Osborn

Denise Osborn

Manchester University

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