People

Leng, Xuan

Associate Professor
Phone:
Email:xleng@xmu.edu.cn
Office:A402
Office Hours:
Homepage:

Profile Research results Research projects

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EN-US

ZH-CN

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Working experience

2023.1- Associate Professor, SOE & WISE, Xiamen University

2019.9-2022.12 Assistant Professor, WISE & SOE, Xiamen University

2018.8-2019.5 Research fellow, Department of Statistics, National University of Singapore

2016.8-2018.7 Assistant Professor, Econometric Institute, Erasmus University Rotterdam

Research Interest

Panel econometrics;

Extreme value statistics in economics and finance

Teaching

Advanced Probability Theory (graduates), 2019-2022

Probability Theory (undergraduates), 2020

Stochastic Processes (undergraduates), 2021-2022

Education

2010-2016 Phd in Statistics, University of Science & Technology of China

2014-2016 Visiting Phd (funded by CSC), Georgia Tech

Publications: *Corresponding author

[10]. Hou, Y., Leng, X., Peng, L. and Zhou, Y. (2023). Panel Quantile Regression for Extreme Risk. Journal of Econometrics, conditionally accept

[9]. Huang, H., Jiang, L., *Leng, X. and Peng, L. (2023). Bootstrap Analysis of Mutual Fund Performance. Journal of Econometrics, 235,239-255

[8]. Leng, X., Chen, H. and Wang, W. (2023). Multi-dimensional latent group structures with heterogeneous distributions. Journal of Econometrics, 233, 1-21

[7]. Huang, H., Leng, X., Liu, X. and Peng, L. (2020). Unit root test and weighted least squares estimator for an AR process with possible GARCH errors. Journal of Financial Econometrics, 18, 425-470

[6]. Leng, X., Peng, L., Wang, X. and Zhou, C. (2019). Endpoint estimation for observations with normal measurement errors. Extremes, 22,71-96

[5]. Leng, X. and Peng, L. (2017). Testing for a unit root in Lee-Carter mortality model. ASTIN Bulletin, 47, 715-735.

[4]. Leng, X. and Peng, L. (2016). Inference pitfalls in Lee-Carter model for forecasting mortality. Insurance: Mathematics and Economics, 70, 58-65.

[3]. Leng, X., Zhuang, J. and Hu, T. (2016). Dispersive ordering for the multivariate normal distribution. Probability in the Engineering and Informational Sciences, 30, 141–152.

[2]. Leng, X. and Hu, T. (2014). The closure property of 2RV under random sum. Statistics and Probability Letters, 92, 158-167.

[1]. Leng, X. and Hu, T. (2014). The tail behavior of randomly weighted sums of dependent random variables. Statistics and Its Interface, 7, 331-338.

"Grouped quantile regression panel models: identification and estimation" supported by NSFC, 2021-01 to 2023-12.

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