Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
23 October 2023 | Story SAMKELO FETILE | Photo SAMKELO FETILE
Third year students: Sipho Majenge, Thapelo Tinte, Dr Edson Vengesai, Busisiwe Nhlapo and Tsolofelo Zwane.
Third year students: Sipho Majenge, Thapelo Tinte, Dr Edson Vengesai, Busisiwe Nhlapo and Tsolofelo Zwane.

The University of the Free State (UFS), Department of Economics and Finance in the Faculty of Economic and Management Science, has recently made headlines by achieving remarkable success in the prestigious JSE Investment Challenge competition. The 3rd-year group secured an impressive second position, while the Honours group claimed an outstanding third place. These achievements are truly commendable, given the fierce competition and rigorous evaluation of financial acumen that characterises this national competition.

The 3rd-year group, consisting of Thapelo Tinte, Sipho Majenge, Busisiwe Nhlapo and Tsolofelo Zwane, showcased their financial prowess by excelling in trading futures, a complex financial instrument that demands in-depth knowledge and expertise. On the other hand, the Honours group, comprised of Dawie Bekker, Divan Koch, Keith Tarr, and William Oosthuysen, dedicated their efforts to the stock market. These talented individuals took on the trading aspect of the competition, meticulously constructing and managing their portfolios.

The significance of the JSE Investment Challenge

The JSE Investment Challenge, organised by the Johannesburg Stock Exchange (JSE), is a prestigious national competition designed to introduce students to investment fundamentals, offering practical experience that equips them with the knowledge and skills necessary for informed decision-making in real financial markets. This educational stock trading programme also champions financial inclusion and equality by welcoming students from all fields of study. Distinguished by its association with the JSE, one of Africa's leading stock exchanges, the competition exudes credibility and prestige. Participation from universities across South Africa further enhances its national appeal. Moreover, it imparts invaluable real-world financial skills and knowledge, highlighting the participants’ ability to navigate the complexities of the stock market and effectively manage portfolios.

A test of financial prowess

In the challenge, each participating team is allocated R1 million in virtual money and is tasked with constructing a portfolio by purchasing securities on the JSE. This portfolio is closely monitored over six months, from March to September, with the team that generates the highest return across all universities declared as the winner. The rewards are enticing, with the top team receiving R30,000 and an all-expenses-covered international trip. The second and third-placed teams receive R20,000 and R10,000, respectively.

Dr Edson Vengesai plays a pivotal role as the guiding force behind the JSE Investment Challenge in the Department of Economics and Finance. He emphasises, “The success of the students in the JSE Investment Challenge reflects the institution's commitment to providing practical and relevant education. It demonstrates that the students are not only learning theory but also how to apply that knowledge in real-world scenarios. This achievement enhances the institution's reputation, particularly in the fields of finance and economics. It signifies a high-quality curriculum and a dedication to excellence in education”. 

For more information about the competition, interested individuals can contact Dr Vengesai through the Department of Economics and Finance in the Faculty of Economic and Management Sciences or via email at vengesaie@ufs.ac.za.

Dawie Bekker, William Oosthuysen, Dr Edson Vengesai, Divan Koch and Keith Tarr

Honours students: Dawie Bekker, William Oosthuysen, Dr Edson Vengesai, Divan Koch and Keith Tarr.

News Archive

Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03

 Description: Lisa read more Tags: Plant disease, Lisa Ann Rothman, Department of Plant Sciences, 3 Minute Thesis,  

Lisa Ann Rothman, researcher in the Department of
Plant Sciences.
Photo: Supplied

 


Plant disease epidemics have wreaked havoc for many centuries. Notable examples are the devastating Great Famine in Ireland and the Witches of Salem. 

Plant diseases form, due to a reaction to suitable environments, when a susceptible host and viable disease causal organism are present. If the interactions between these three factors are monitored over space and time the outcome has the ability to form a “simplification of reality”. This is more formally known as a plant disease model. Lisa Ann Rothman, a researcher in the Department of Plant Sciences at the University of the Free State (UFS) participated in the Three Minute Thesis competition in which she presented on Using mathematical models to predict plant disease. 

Forecast models provide promise fighting plant diseases
The aim of Lisa’s study is to identify weather and other driving variables that interact with critical host growth stages and pathogens to favour disease incidence and severity, for future development of risk forecasting models. Lisa used the disease, sorghum grain mold, caused by colonisation of Fusarium graminearum, and concomitant mycotoxin production to illustrate the modelling process. 

She said: “Internationally, forecasting models for many plant diseases exist and are applied commercially for important agricultural crops. The application of these models in a South African context has been limited, but provides promise for effective disease intervention technologies.

Contributing to the betterment of society
“My BSc Agric (Plant Pathology) undergraduate degree was completed in combination with Agrometeorology, agricultural weather science. I knew that I wanted to combine my love for weather science with my primary interest, Plant Pathology. 
“My research is built on the statement of Lord Kelvin: ‘To measure is to know and if you cannot measure it, you cannot improve it’. Measuring the changes in plant disease epidemics allows for these models to be developed and ultimately provide practical solutions for our farmers. Plant disease prediction models have the potential ability to reduce the risk for famers, allowing the timing of fungicide applications to be optimised, thus protecting their yields and ultimately their livelihoods. I am continuing my studies in agriculture in the hope of contributing to the betterment of society.” 

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept