Dr CHU, Man Ying Amanda   朱文英
Assistant Professor
Department of Social Sciences
Phone No: (852) 2948 8941
Email: amandachu@eduhk.hk
Contact
Phone
(852) 2948 8941
Email
amandachu@eduhk.hk
Scopus ID
57207940174
Research Interest

Data Privacy, Business Ethics, Risk Management, Applied Statistics

Professional Profile

Dr. Amanda Chu is currently an assistant professor at The Education University of Hong Kong (EdUHK). She received her Ph.D. from The University of Hong Kong, Master’s degree in Business Administration from The Chinese University of Hong Kong, and Bachelor’s degree in Social Sciences (Statistics) from The University of Hong Kong. She is also a certified Financial Risk Manager of Global Association of Risk Professionals (GARP) and a certified Professional Risk Manager of the Professional Risk Managers’ International Association (PRMIA). Her research interests include data privacy, business ethics, risk management, and applied statistics. She has papers in journals like Annals of Applied Statistics, Decision Support Systems, Journal of Business Ethics, Statistical Methods and Medical Research, among others.

Before starting her academic career, Dr. Chu has obtained 10 years of experience in consulting, market research, risk management, and business development. She managed over five government-funded research projects and more than 10 industry collaborative projects with various associations and global companies when she was a consultant in the industry.

Research Interest

Data Privacy, Business Ethics, Risk Management, Applied Statistics

Selected Output

Journal Publications
Chu, A. M. Y., Liu, C. K. W., So, M. K. P., and Lam, B. S. Y. (2021). Factors for sustainable online learning in higher education during the COVID-19 pandemic. Sustainability, 13(9), 5038.
Chu, A. M. Y., Chan J. N. L, Tsang, J. T. Y., Tiwari, A, So, M. K. P. (2021). Analyzing cross-country pandemic connectedness in COVID-19: Network analysis using a spatial-temporal database. JMIR Public Health and Surveillance, 7(3), e27317.
Chu, A. M. Y., Tiwari, A., Chan, J. N. L., So, M. K. P. (2021). Are travel restrictions helpful to control the global COVID-19 outbreak?. Travel Medicine and Infectious Disease, 41, 102021.
Lv, Z, Chu, A. M. Y, Wong, W. K., Chiang, T. C. (2021). The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio. Risk Management, 23(1), 97-122.
So, M. K. P., Chu, A. M. Y., Tiwari, A, Chan, J. N. L. (2021). On topological properties of COVID-19: predicting and assessing pandemic risk with network statistics. Scientific Reports, 11(1), 5112.
Tiwari, A., So, M. K. P., Chong, A. C. Y., Chan, J. N. L., Chu, A. M. Y. (2021). Pandemic risk of COVID-19 outbreak in the United States: an analysis of network connectedness with air travel data. International Journal of Infectious Diseases, 103, 97-101.
Chu, A. M. Y., Chan, T. W. C., So, M. K. P., Wong, W. K. (2021). Dynamic network analysis of COVID-19 with a latent pandemic space model. International Journal of Environmental Research and Public Health, 18(6), 3195.
So, M. K. P., Chu, A. M. Y., Chan, T. W. C. (2021). Impacts of the COVID-19 pandemic on financial market connectedness. Finance Research Letters, 38, 101864.
Chu, A. M. Y., Tsang, J. T. Y., Chan, J. N. L., Tiwari, A., So, M. K. P. (2020). Analysis of travel restrictions for COVID-19 control in Latin America through network connectedness. Journal of Travel Medicine, 27(8), taaa176.
So, M. K. P., Tiwari, A., Chu, A. M. Y., Tsang, J. T. Y., Chan, J. N. L. (2020). Visualizing COVID-19 pandemic risk through network connectedness. International Journal of Infectious Diseases, 96, 558-561.
So, M. K. P., Chan, T. W. C., Chu, A. M. Y. (2020). Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management. Journal of Econometrics, doi.org/10.1016/j.jeconom.2020.04.040, in press, /.
Chu, A. M. Y., Tiwari, A, So, M. K. P. (2020). Detecting early signals of COVID-19 global pandemic from network density. Journal of Travel Medicine, 27(5), taaa084.
Chu, A. M. Y. and So, M. K. P. (2020). Organizational Information Security Management for Sustainable Information Systems: An Unethical Employee Information Security Behavior Perspective. Sustainability, 12(8), 3163.
Chung, R. S. W., So, M. K. P., Chu, A. M. Y. & Chan, T. W. C. (2020). Regularization of Bayesian Quasi-likelihoods Constructed from Complex Estimating Functions. Computational Statistics & Data Analysis, 150, 106977.
Lam, B. S. Y., Chu, A. M. Y. & Yan, H. (2020). Statistical Bootstrap-based Principal Mode Component Analysis for Dynamic Background Subtraction. Pattern Recognition, 100, 117153.
Chu, A. M. Y., Lv, Z., Wagner, N. F. & Wong, W. K. (2020). Linear and Nonlinear Growth Determinants: The Case of Mongolia and Its Connection to China. Emerging Markets Review, 43, 100693.
Chu, A. M. Y., So, M. K. P., Chan, T. W. C. & Tiwari, A. (2020). Estimating the Dependence of Mixed Sensitive Response Types in Randomized Response Technique. Statistical Methods in Medical Research, 29(3), 894-910.
Chu, A. M. Y., Lam, B. S. Y., Tiwari, A., So, M. K. P. (2019). An Empirical Study of Applying Statistical Disclosure Control Methods to Public Health Research. International Journal of Environmental Research and Public Health, 16(22), 4519.
Lv, Z., Chu, A. M. Y., McAleer, M. & Wong, W. K. (2019). Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality. International Journal of Environmental Research and Public Health, 16(21), 4176.
Chong, A. C. Y., Chu, A. M. Y., So, M. K. P. & Chung R. S. W. (2019). Asking Sensitive Questions Using the Randomized Response Approach in Public Health Research: An Empirical Study on the Factors of Illegal Waste Disposal. International Journal of Environmental Research and Public Health, 16(6), 970.
So, M. K. P., Liu, W. K. & Chu, A. M. Y. (2018). Bayesian Shrinkage Estimation of Time-varying Covariance Matrices in Financial Time Series. Advances in Decision Sciences, 22(A), 1-35.
Chung, R. S. W., Chu, A. M. Y., & So, M. K. P. (2018). Bayesian Randomized Response Technique with Multiple Sensitive Attributes: The Case of Information Systems Resource Misuse. The Annals of Applied Statistics, 12(3), 1969-1992.
Chu, A. M. Y., Li, R. W. M., & So, M. K. P. (2018). Bayesian Spatio-temporal Modeling of Air Pollution Data with Dynamic Variance and Leptokurtosis. Spatial Statistics, 26, 1-20.
Chu, A. M. Y., So, M. K. P., & Chung, R. S. W. (2018). Applying the Randomized Response Technique in Business Ethics Research: The Misuse of Information Systems Resources in the Workplace. Journal of Business Ethics, 151(1), 195-212.