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Associate Professor Thabang Mokoaleli-Mokoteli

Finance and Accounting

Job Title
Associate Professor
Qualifications PhD (Finance & Accounting), Cranfield School of Management, UK; Masters (Accountancy), University of Western Illinois, USA; BCom, National University of Lesotho.
Organisational Unit Wits Business School
Biography

Courses and Disciplines taught at WBS: 

Teaches finance and accounting modules at post graduate level across academic programmes including Master of Business Administration; Master of Management in Finance and Investments; Master of Management in Strategic Marketing; Post-Graduate Diploma in Business Administration.

Other Teaching Experience: 

Plays significant role in teaching public and tailor-made Executive Education courses at WBS.

Research Interests: 

Thabang Mokoaleli-Mokoteli's research focus is in the area of stock markets (performance and prediction) and governance (including financial reporting); both areas of research straddle her background and expertise in finance and accounting.

Work

Industry and Professional Experience: 

Board member of Nexio (a subsidiary of Vodacom); Director –Thako Capital.

Recent Publications and Scholarly Contributions: 

Totowa, J., & Mokoaleli-Mokoteli, T. (2021). Impression management, governance and firm performance, African Journal of Finance. Forthcoming.

Mokoaleli-Mokoteli, T. (2019). The corporate credit rating changes and firm returns in a transitional economy: A case of South Africa, South African Journal of Business Management, 50(1), a460. (https://doi.org/10.4102/)

Murekachiro, D., Mokoteli, T., Vadapalli, H. (2019). Predicting emerging and frontier stock markets using Deep Neural Networks. In Y., Bi, R. Bhatia & S. Kapoor (Eds), Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, Vol. 1037. Springer, Cham. 

Murekachiro, D., Mokoteli, T. M., Vadapalli, H. (2019). Stock market trend prediction in Sub-Saharan Africa using Generalized Additive Models (GAMs). In A. Pandian, K. Ntalianis & R. Palanisamy (Eds), Intelligent Computing, Information and Control Systems, ICICCS 2019. Advances in Intelligent Systems and Computing, Vol. 1039. Springer, Cham. 

Mokoteli-Mokoaleli, T., Ramsumar, S., & Vadapalli, H. (2019). The efficiency of ensemble classifiers in predicting the Johannesburg Stock Exchange All-Share Index direction. Journal of Financial Management, Markets and Institutions, 7(2). DOI: 10.1142/S2282717X19500014. 

Other Scholarly Contributions: 

Member of Wits Tenders Committee.

Community Engagement: 

Trustee at Roosevelt Baptist Church.

Recent Media: 

August 2021, article in Business Day, Developing leaders who are a 'force for positive change' (https://www.gate5.co.za/read/59986/qv/93926598/150196207/132370/p)

May 2019, article in The Star, Changing shape of MBA (https://www.pressreader.com/south-africa/the-star-south-africa-late-edition/20190509/282595969350471)