Revisiting the dynamic stock return–volume relationship in South Africa: a non-parametric causality in quantiles approach

2021 ◽  
pp. 1-17
Author(s):  
Kingstone Nyakurukwa
Keyword(s):  
South Africa ◽  
Stock Return ◽  
Volume Relationship ◽  
Non Parametric

scholarly journals Stock Returns and Trading Volume Relationship of the Nigerian Banking Sector: An Empirical Assessment

2011 ◽  
Vol 2 (1) ◽  
pp. 5-13
Author(s):  
Ugwu Ugwu ◽  
Sule . ◽  
Kehinde Oluwatoyin . ◽  
Emerole . ◽  
Gideon Ahamuefula .
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Return ◽  
Banking Sector ◽  
Price Changes ◽  
Developed Markets ◽  
Daily Data ◽  
Volume Relationship ◽  
Nigerian Banking

This study assessed the relationship between stock returns and trading volume, using daily data of some Nigerian Banking Sector Stocks. It further checked for both the contemporaneous and causal relationship between stock return and trading volume utilizing data covering ten (10) companies from the Banking Sector. Six hundred and nineteen to seven hundred and six (619-706) observations for a period of thirty – six months (36) from 1st March, 2004 to 28th February, 2007, were empirically tested with the Granger-Causality tests. This determined if the Wall Street adage which says, “It takes volume to make prices” was true in the Nigerian Banking Sector. Using the daily data, we first found a negative relation between and absolute value of price changes (return) and price changes itself in the Nigerian Banking Stocks. However, the results from the Granger-Causality test failed to find strong evidence on stock price changes leading volume. This was contrary to evidence reported by study on developed markets but consistent with previous result from the Latin American Market which is an emerging market like that of Nigeria. In fact, in all the ten banks studied, volume seems to lead stock price changes. Thus, we concluded that these set of emerging markets with different institutions and information flows than the developed markets, do not present similar stock/return-volume relationship to the preponderance of studies employed U.S data. The implication of these results was that differences in institutions and information flows in the set of emerging markets are important enough to affect the valuation process of equity securities and warrant further analysis.

scholarly journals Structural breaks and GARCH models of stock return volatility: The case of South Africa

2012 ◽  
Vol 29 (6) ◽  
pp. 2435-2443 ◽  
Author(s):  
Ali Babikir ◽  
Rangan Gupta ◽  
Chance Mwabutwa ◽  
Emmanuel Owusu-Sekyere
Keyword(s):  
South Africa ◽  
Stock Return ◽  
Structural Breaks ◽  
Garch Models ◽  
Return Volatility ◽  
Stock Return Volatility

scholarly journals Stock return predictability in South Africa: The role of major developed markets

2015 ◽  
Vol 15 ◽  
pp. 257-265 ◽  
Author(s):  
Yi-Chieh Wen ◽  
Philip T. Lin ◽  
Bin Li ◽  
Eduardo Roca
Keyword(s):  
South Africa ◽  
Stock Return ◽  
Return Predictability ◽  
Stock Return Predictability ◽  
Developed Markets

scholarly journals Influence of reward preferences in attracting, retaining, and motivating knowledge workers in South African information technology companies

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Mark Bussin ◽  
Wernardt C. Toerien
Keyword(s):  
South Africa ◽  
Information Technology ◽  
South African ◽  
Knowledge Workers ◽  
Holistic Approach ◽  
Total Rewards ◽  
Form Part ◽  
It Knowledge ◽  
Information Technology Companies ◽  
Non Parametric

Purpose: The world of work is evolving and the nature of relationships between knowledge workers and their employers has changed distinctly, leading to a change in the type of rewards they prefer. The nature of these preferences in the South African, industry-specific context is poorly understood. The purpose of this study was to deepen understanding of the reward preferences of Information technology (IT) knowledge workers in South Africa, specifically as these relate to the attraction, retention and motivation of knowledge workers.Design: The research design included a quantitative, empirical and descriptive study of reward preferences, measured with a self-administered survey and analysed using non-parametric tests for variance between dependent and independent groups and non-parametric analysis of variance.Findings: This study found that there are specific reward preferences in knowledge workers in the IT sector in South Africa and that these preferences apply differently when related to the attraction, retention and motivation of employees. It identified the most important reward components in the competition for knowledge workers and also demonstrated that demographic characteristics play a statistically significant role in determining reward preferences.Practical implications: The study’s findings show that a holistic approach to total rewards is required, failing which, companies will find themselves facing increased turnover and jobhopping. Importantly, the study also highlights that different rewards need to form part of knowledge workers’ relationship with their employer in three different scenarios: attraction, retention and motivation.

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