Biography
Professor Wang Peiming, serving as the Director of the MBA Centre and a Professor of Finance at Xiamen University Malaysia (XMUM), brings a wealth of experience and leadership in shaping educational programs. His academic journey is distinguished by a PhD earned from the esteemed Sauder School of Business at the University of British Columbia, Canada. Prior to joining XMUM, Professor Wang refined his expertise at the renowned Nanyang Business School of Nanyang Technological University, Singapore, and the Business School of Auckland University of Technology, New Zealand, each for over a decade.
With his extensive experience and leadership in teaching and managing a spectrum of degree and non-degree programs, including EMBA, MBA, and executive training, Professor Wang serves as an exemplary figure in academia, guiding and inspiring both students and colleagues alike.
Research Interest
Applied Econometrics, Monetary Policy, Empirical Asset Pricing, Financial Risk Management
Educational Background
PhD (Business Administration and Management Science), Sauder School of Business, University of British Columbia, Canada (1994)
Working Experience
Associate Professor, Nanyang Business School, Nanyang Technological University, Singapore (1994 to 2007).
Associate Professor, Business School, Auckland University of Technology, New Zealand (2007 to 2023).
Research Experience
Prof Wang’s research currently focuses on the analysis of the impact of monetary policy uncertainty, particularly the spill-over effect of US monetary policy uncertainty. Prof Wang has many years’ experience of research supervision for various programs including PhD, MBus, MBA and EMBA. Prof Wang has published in many leading journals, including the Journal of Business and Economic Statistics, Journal of Empirical Finance, Macroeconomic Dynamics, International Review of Economics and Finance, Applied Economics, Economics Letters, Biometrics and Statistica Sinica.
Representative Publications
Wang, P., M.L. Puterman, I. Cockburn, and L. Nhu, 1996, Mixed Poisson Regression Models with Covariate-dependent Rates, Biometrics, Vol. 52, 381-400.
Wang, P., I. Cockburn, and M.L. Puterman, 1998, Analysis of Patent Data, Journal of Business and Economic Statistics, Vol. 16, 27-41.
Wang, P., 2003, A Bivariate Zero-Inflated Negative Binomial Regression Model for Count Data with Excess Zeros, Economics Letters, Vol. 78, pp 373 - 378.
Wang P. and Alba, J., 2006, A Zero-inflated Negative Binomial Regression Model with Hidden Markov Chain: With an Application to Analysis of FDI, Economics Letters, 92, 209-213.
Wang, P., Alba, J. D., & Park, D. (2012). Corporate Governance and FDI: Firm-Level Evidence from Japanese FDI into the US. International Review of Economics and Finance, 24, 43-53.
Liu, X., Margaritis, D., & Wang, P. (2012). Stock market volatility and equity returns: Evidence from a two-state Markov-switching model with regressors. Journal of Empirical Finance, 19(4), 483-496.
Chen, J., Huang, Y., & Wang, P. (2014). Composite likelihood under hidden Markov model. Statistica Sinica. http://doi.org/10.5705/ss.2013.084t
Da Fonseca, J. C., & Wang, P. (2016). A joint analysis of market indexes in credit default swap, volatility and stock markets. Applied Economics, 48(19), 1767-1784. http://doi.org/10.1080/00036846.2015.1109036
Alba, J. D., & Wang, P. (2017). Taylor rule and discretionary regimes in the United States: Evidence from a k-state Markov regime-switching model. Macroeconomic Dynamics, 21(3), 817-833. http://doi.org/10.1017/S1365100515000693
Tang, X., Hu, F., Wang, P. (2018). Out‐of‐sample equity premium prediction: A scenario analysis approach, Journal of Forecasting, 37(5), 604 - 626.
Alba, J. D., & Wang, P. (2021). Trilemma, dilemma or 2.5-lemma in the transmission of monetary policy: Evidence from a Markov-switching panel data model. Applied Economics. doi:10.1080/00036846.2021.1912281
Honors / Awards
E.D. MacPhee Graduate Fellowship, 1990 - 1993
L.G.J. Wong Memorial Fellowship, 1991- 1992
York University Scholarship, 1989 - 1990