Questions regarding the specific factors that drive continuous cash allocations by investors into portfolios of actively managed funds, despite consistent underperformance, continue to remain an inexhaustive aspect of the literature that calls for further investigations. This study assesses the dynamic relationship between fund flow and performance of equity mutual funds in South Africa under different market conditions. The study employs a GMM technique to analyze the panel data of 52 South African equity mutual funds from 2006 to 2019. The analysis found that convexity is prevalent in the flow-performance relationship, where fund contributors in subsequent periods allocate recent underperforming and outperforming funds disproportionate cash. This finding is evident in the lack of significance in the past performance effects on subsequent fund flows. The study found that lagged fund flows, fund size, fund risk, and market risk drive subsequent fund flows under changing conditions of the general market and fund markets. Overall, it is posited that fund contributors and asset administrators adapt to prevailing market dynamics relative to trading decisions. As a result, this affirms the normative guidelines of the Adaptive Markets Hypothesis, leading to the conclusion that exogenous factors drive fluctuations in fund flows in South Africa.

This study assesses the effect of fund-level and systemic factors on the performance of mutual funds in the context of changing market conditions. A Markov regime-switching model is used to analyze the performance of 33 South African equity mutual funds from 2006 to 2019. From the results, fund flow and fund size exert more predictive influences on performance in the bearish state of the market than in the bullish state. Fund age, fund risk, and market risk were found to be the most significant factors driving the performance of active portfolios under time-varying conditions of the market. These variables exert more influence on fund performance under bearish conditions than under bullish conditions, emphasizing the flight-to-liquidity assets phenomenon and risk-aversion behavior of fund contributors during unstable conditions of the market. Consequently, fund managers need to maintain adequate asset bases while implementing policies that minimize dispersions in fund returns to engender persistence in performance. This study provides novel perspectives on how the determinants of fund performance change with market conditions as portrayed by the adaptive market hypothesis (AMH).

This study analysed the impact of social grants on food security, considering the effect of household dynamics in South Africa. Correlation and two-way ANOVA analyses were employed to analyse the impact of social grants on food security using data from 900 households selected randomly from three low-income areas in Gauteng Province of South Africa. The results show that social grants are associated with low food insecurity, whereas child grant significantly alleviates the severity of food insecurity among the sampled urban households. Also, it was found that increased income, higher level of education, and high employment rate of the household head have a positive impact on household food security. Furthermore, this study shows that any type of social grant is critical in reducing the severity of food insecurity among low-income households. As a result, the policymakers in the South African government should integrate the current special COVID-19 social relief of distress grant into the social grant system.

While prior studies have examined the predictive effect of macroeconomic and country risk components on property stock index dynamics, limited explanations exist in the literature regarding the time-varying effect of investor sentiment on housing prices. Accordingly, this study assesses the impact of investor sentiment on housing properties’ returns and the effect of investor sentiment on the conditional volatility of housing price indices under different market conditions, using GARCH, GJR-GARCH, E-GARCH and Markov-switching VAR models. We found investor sentiment to significantly impact the risk premium of the property returns, where property returns increased with positive changes in investor sentiment, and conditional volatility of property returns decreased with the same changes in investor sentiment. Investor sentiment exerts positive predictive influences on the prices of small and medium houses, in both bullish and bearish market conditions but does not affect the large housing market segment. This makes the implementation of risk-related diversification across small and medium real estate portfolios more effective than large real estate portfolios. Our findings show that investor sentiment is a plausible driver of mass investor redemption actions under conditions of uncertainty.