A comparative study of Investor sentiment index and machine learning techniques in forecasting asset prices

Researcher: Sizo Mosibi, University of the Witwatersrand, JohannesburgSupervisor: Prof. Yudhvir Seetharam, University of the Witwatersrand, Johannesburg Predicting future asset prices with higher accuracy has remained a formidable undertaking. Series of techniques have been developed and implemented to attain the intended result, and significant progress has been made.

Read More

Why does data on election violence only include fatal incidents?

Researcher:  Stuart Morrison, University of the Witwatersrand, JohannesburgSupervisor: Prof, Rod Alence, University of the Witwatersrand, Johannesburg In this work I seek to understand the effect that fatalities have on the accuracy of election violence datasets, by asking “what happens to the quality of the dataset if we

Read More

Uncertainty Quantification in Global PGM Production using Stochastic and Machine Learning Forecasting Algorithms

Researcher: Kelly Langa, University of the Witwatersrand, JohannesburgSupervisor: Prof. G Nwaila, University of the Witwatersrand, Johannesburg Uncertainty Quantification in Global PGM Production using Stochastic and Machine Learning Forecasting Algorithms.  The applications of platinum group metals (PGMs) are innumerable and stretch across multiple industries due to their mechanical

Read More

Studies In Supervised Machine Learning for Stock Price Prediction

Researcher: Costa Muthai, University of VendaSupervisor: Dr Martins Aramsowna, University of Venda Internet and Web technologies of today not only enable students to interact more freely with educational resources, friends, and teachers, but they also produce enormous amounts of application data that can be assessed to reveal

Read More

Volatility estimate of Telkom shares under GARCH models

Researcher:  Wandile Nhlapho, University of VendaSupervisor: Dr Jean-Claude Ndogmo, University of Venda The study compares the performance of the ARCH (1) and GARCH (1,1) models in estimating and forecasting the volatility of Telkom share prices.  The Telkom shares are estimated using daily data and the above-mentioned volatility models. We

Read More

Battery as the source of energy

Researcher:  Mbabala Tshimangadzo, University of VendaSupervisors: Dr. N.E Maluta , Prof. R.R Maphanga Mr. R.S Dima, University of Venda There is an increase shortage of energy supply and storage, with the human population and fuel price increasing exponentially this increases the demand of energy supply. Considering battery as the

Read More

Aspects of simulated ant agents for creating an ant-inspired ontology

Researcher:  Shirindi Ntshuxeko, Sol Plaatje UniversitySupervisor: Dr Colin Chibaya, Sol Plaatje University A formal knowledge domain has not been well represented in earlier studies.  There has been a lack of a particular set of procedures required to produce an ant ontology.  To create an ant colony ontology, this work

Read More