Liang Peng

Liang Peng

Georgia State University

H-index: 40

North America-United States

About Liang Peng

Liang Peng, With an exceptional h-index of 40 and a recent h-index of 20 (since 2020), a distinguished researcher at Georgia State University, specializes in the field of statistics.

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

Panel quantile regression for extreme risk

A contagion test with unspecified heteroscedastic errors

Uncertainty Comparison Between Value-at-Risk and Expected Shortfall

Validating Cross-Sectional Dependence Assumptions in a Factor Model

A unified unit root test regardless of intercept

A unified inference for predictive quantile regression

Constructing Optimal Portfolios under Risk Budgeting

Diagnostic tests before modeling longitudinal actuarial data

Liang Peng Information

University

Position

Department of Risk Management and Insurance Robinson College of Business

Citations(all)

6016

Citations(since 2020)

1616

Cited By

5094

hIndex(all)

40

hIndex(since 2020)

20

i10Index(all)

102

i10Index(since 2020)

53

Email

University Profile Page

Georgia State University

Google Scholar

View Google Scholar Profile

Liang Peng Skills & Research Interests

statistics

Top articles of Liang Peng

Title

Journal

Author(s)

Publication Date

Panel quantile regression for extreme risk

Journal of Econometrics

Yanxi Hou

Xuan Leng

Liang Peng

Yinggang Zhou

2024/3/1

A contagion test with unspecified heteroscedastic errors

Journal of Economic Dynamics and Control

Ernest Aboagye

Stanley Iat-Meng Ko

Chia Chun Lo

Cody Yu-Ling Hsiao

Liang Peng

2024/2/1

Uncertainty Comparison Between Value-at-Risk and Expected Shortfall

Qing Liu

Weimin Liu

Liang Peng

Gengsheng Qin

2024/2

Validating Cross-Sectional Dependence Assumptions in a Factor Model

Available at SSRN 4808645

Longyu Chen

Haitao Huang

Lei Jiang

Liang Peng

Zhonglin Qin

2024/4/18

A unified unit root test regardless of intercept

Econometric Reviews

Bingduo Yang

Xiaohui Liu

Wei Long

Liang Peng

2023/6/30

A unified inference for predictive quantile regression

Journal of the American Statistical Association

Xiaohui Liu

Wei Long

Liang Peng

Bingduo Yang

2023/5/27

Constructing Optimal Portfolios under Risk Budgeting

City Research Online https://tinyurl. com/ys76cpvu. Working paper

Vali Asimit

Liang Peng

Radu Tunaru

Feng Zhou

2023/5/8

Diagnostic tests before modeling longitudinal actuarial data

Insurance: Mathematics and Economics

Yinhuan Li

Tsz Chai Fung

Liang Peng

Linyi Qian

2023/11/1

Nonparametric tests for market timing ability using daily mutual fund returns

Journal of Economic Dynamics and Control

Jing Ding

Lei Jiang

Xiaohui Liu

Liang Peng

2023/5/1

Bootstrap analysis of mutual fund performance

Journal of Econometrics

Haitao Huang

Lei Jiang

Xuan Leng

Liang Peng

2022/5/14

Test for market timing using daily fund returns

Journal of Business & Economic Statistics

Lei Jiang

Weimin Liu

Liang Peng

2022/12/13

Three-step risk inference in insurance ratemaking

Insurance: Mathematics and Economics

Yanxi Hou

Seul Ki Kang

Chia Chun Lo

Liang Peng

2022/7/1

Test for zero median of errors in an arma–garch model

Econometric Theory

Yaolan Ma

Mo Zhou

Liang Peng

Rongmao Zhang

2022/6

Risk analysis via generalized Pareto distributions

Journal of Business & Economic Statistics

Yi He

Liang Peng

Dabao Zhang

Zifeng Zhao

2022/4/3

Predictive Analysis of High Conditional Quantiles for Panel Data

Available at SSRN 3815426

Yanxi Hou

Xuan Leng

Liang Peng

Yinggang Zhou

2022/3/1

Empirical likelihood test for the equality of several high-dimensional covariance matrices

Science China Mathematics

Guili Liao

Liang Peng

Rongmao Zhang

2021/12/1

Quantifying Diseconomies Of Scale For Mutual Funds.

Annals of Economics & Finance

Ying Liao

Cuixia Li

Lei Jiang

Liang Peng

2021/5/1

Improved regression inference using a second overlapping regression model

Liang Peng

John HJ Einmahl

2021/10/28

Efficiently backtesting conditional value-at-risk and conditional expected shortfall

Journal of the American Statistical Association

Qihui Su

Zhongling Qin

Liang Peng

Gengsheng Qin

2021/10/2

Empirical likelihood test for the application of swqmele in fitting an arma‐garch model

Journal of Time Series Analysis

Mo Zhou

Liang Peng

Rongmao Zhang

2021/3

See List of Professors in Liang Peng University(Georgia State University)