Search

Home > People > Academic Staff > Chun-Kai Huang
Academic Staff

Chun-Kai Huang

Office: PD Hahn 5.51
Tel: +27 21 650 3758
Email: Chun-Kai.Huang@uct.ac.za

Research Interests: Exchangeability; Moment Problems; Extreme Value Theory; Multiple-Phase Sampling; Statistical Applications to Financial Data.

Position: Lecturer

Courses Taught

  • STA3043S – Decision Theory and Generalised Linear Models

Biographical Information

Employment History

  • 2014–Present, Lecturer, Department of Statistical Sciences, University of Cape Town
  • 2011–2014, Lecturer, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal
  • 2005–2011, Contract Lecturer, School of Statistics and Actuarial Science, University of KwaZulu-Natal

Professional Society Memberships

  • Fellow of the Cambridge Commonwealth Society
  • Member of the South African Statistical Association
  • Member of the Golden Key International Honour Society

Publications

  • K. Chinhamu, C-K. Huang, C-S. Huang and M. J. Hammujuddy (2014). Empirical analyses of extreme value models for the South African Mining Index. South African Journal of Economics, early view.
  • C-S. Huang, C-K. Huang and K. Chinhamu (2014). Assessing the relative performance of heavy-tailed distributions: Empirical evidence from the Johannesburg Stock Exchange. Journal of Applied Business Research, 30(4), 1263-1286.
  • C-K. Huang (2014). On exchangeability and Hausdorff moment problems over k-dimensional simplexes. South African Statistical Journal, 48(1), 73-81.
  • C-K. Huang, K. Chinhamu, C-S. Huang and M. J. Hammujuddy (2014). Generalized hyperbolic distributions and Value-at-Risk estimation for the South African Mining Index. International Business & Economics Research Journal, 13(2), 319-328.

Conference Proceedings

  • K. Chinhamu, C-K. Huang, M. J. Hammujuddy and C-S. Huang (2013). Modeling the South African Mining Index with generalized hyperbolic distributions. Proceedings of the 55th Annual Conference of the South African Statistical Association for 2013 (SASA 2013), 7-14.