Curriculum Vitae
BIOGRAPHY
My research focuses on financial time series modelling and forecasting using advanced statistical and econometric methods. In particular, my work investigates volatility dynamics, risk transmission, and interconnectedness across financial markets. I apply a range of methodologies including GARCH-type models, CARR-type models, multivariate volatility models, regime-switching models, and network-based connectedness approaches to study complex dependencies in financial data.
Recently, my research has expanded to examine the impact of macroeconomic uncertainty and geopolitical events on financial market volatility, with applications to global equity markets, commodity markets, and risk management. My goal is to develop robust statistical frameworks that improve forecasting accuracy and enhance understanding of financial market behaviour under uncertainty.
ACADEMIC QUALIFICATION
- Degree of Doctor Philosophy, (Statistik Matematik)Universiti Malaya (UM)
- Degree of Master of Science, (Science)Universiti Malaya (UM)
- BSC, (MATEMATIK DAN EKONOMI)Universiti Malaya (UM)
MEMBERSHIPS
- MALAYSIAN INSTITUTE OF STATISTICS (ISMY), MEMBERSince 2026 (National)
PUBLICATIONS
Article in Journal
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Tan, Shay Kee; Ng, Kok Haur; Chan, Jennifer So-Kuen (2023). Predicting Returns, Volatilities and Correlations of Stock Indices Using Multivariate Conditional Autoregressive Range and Return Models, MATHEMATICS. 11(1). doi:10.3390/math11010013
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Tan, Shay Kee; Chan, Jennifer So Kuen; Ng, Kok Haur (2022). Modelling and forecasting stock volatility and return: a new approach based on quantile Rogers-Satchell volatility measure with asymmetric bilinear CARR model, STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS. . doi:10.1515/snde-2019-0101
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Tan, S. K., Chan, J. S. K., Ng, K. H. (2020). On the speculative nature of cryptocurrencies: A study on Garman and Klass volatility measure. Finance Research Letters, 32, 5. doi: 10.1016/j.frl.2018.12.023
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Tan, S. K., Ng, K. H., Chan, J. S. K., Mohamed, I. (2019). Quantile range-based volatility measure for modelling and forecasting volatility using high frequency data. North American Journal of Economics and Finance, 47, 537-551. doi:10.1016/j.najef.2018.06.010
RESEARCH INTEREST
- Financial time series analysis (volatility)
- Volatility modelling (volatility spillovers)
- Financial economics (market connectedness)
- Multivariate time series (statistical forecasting)