Position: Lecturer

Email: [email protected]

Biography

Dr. Mbakisi Dube is a Lecturer of Actuarial Science with over 8 years teaching, research experience at NUST. He is also a researcher in financial mathematics, computational finance, numerical methods and insurance with some publications in peer-reviewed journals.

Academic Qualifications

PhD in Mathematics, MSc in Applied Mathematical Modelling, BSc in Operations Research and Statistics and PGDHE.

Courses Taught

Actuarial statistics, stochastic modelling, theory and valuation of derivatives and financial economics.

Research interests

Financial mathematics, computational finance, numerical methods, applied mathematics and insurance

Research Links

https://orcid.org/0000-0002-4329-8543, https://scholar.google.com/citations?user=UCYzJ1cAAAAJ&hl=en

Publications

Mazviona, B.W., Dube, M. and Sakahuhwa, T., 2017. An analysis of factors affecting the performance of insurance companies in Zimbabwe. Journal of Finance and Investment Analysis, 6(1), pp.11-30.

Dube, M., & Patidar, K. C. (2020). A robust nonstandard finite difference scheme for pricing real estate index options. Journal of Difference Equations and Applications, 26(11–12), 1471–1493. https://doi.org/10.1080/10236198.2020.1852226

Mhlanga, F.J. and Dube, M., 2020. The value of information under partial information for exponential Utility. Journal of Stochastic Analysis, 1(3), p.1.

Dube, M. and Patidar, K.C., Efficient pricing of real estate index options using novel finite difference methods. In 2023 Joint Mathematics Meetings (JMM 2023). AMS.

10. Dube and K. C. Patidar, A robust computational method to solve a class of real estate exotic options. In: T. Simos and C. Tsitouras (eds.): Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2022 (ICNAAM-2022). Published in: AIP Conf. Proc. 3094, 500038 (2024) https://doi.org/10.1063/5.0210967.

Community Service Engagement:

• Volunteer tutor NUSTSEP programme 2015 to 2017
• Volunteer Coach and Judge for SIMIODE challenge using differential equations modelling SCUDEM 2020
• Coaching a team that participated in the SCUDEM V 2020 challenge
• Volunteer as a reviewer for the Journal of Applied Science and Technology