معرفی
Professor Ba Chu is a faculty member in the Department of Economics at Carleton University, Ottawa, Canada. He holds a Ph.D. from the University of London and has a strong academic background in econometrics and financial economics. His research is supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), including a 2020 Discovery Grant for work on simulation-based methods in large dynamic latent variable models.
- B.A. (Hanoi)
- M.Sc., M.Phil., Ph.D. (London)
His research focuses on optimal asset allocation, time-series econometrics, and nonparametric and semiparametric methods. He has made significant contributions to dependence modelling using copulas, asymptotic theory, and large deviations approaches to risk assessment. His work bridges theoretical econometrics with practical applications in finance and macroeconomics.
The recent publications highlight a consistent focus on high-dimensional and dynamic models, with applications in financial markets, portfolio optimization, and macroeconomic data analysis. His methodological contributions include advanced inference techniques in moment restriction models, duration dependence in high-frequency trading, and robust estimation under dependence and structural breaks. The research trend shows a deep integration of probability theory, statistical inference, and financial economics.
- NSERC Discovery Grant (2020), $90,000 over five years
Professor Chu teaches courses such as Econometrics I (Econ 5027), Applied Time Series Analysis (Econ 5713w), and Statistical Methods in Economics. While no formal advisees are listed, his collaborative research involves prominent econometricians such as D.T. Jacho-Chavez, O.B. Linton, and S. Satchell. He has no known lab or research team listed publicly, but his work is theoretically rigorous and mathematically sophisticated, often involving simulation-based and asymptotic methods.
