Regime-Switching Determinants of Mutual Fund Performance 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).

Selection of stock funds using information that is not observable or measurable

ABSTRACT The aim of this paper is to investigate whether the flows and the future returns of stock funds are related to investors’ unobservable information. This article extends the knowledge about investment decisions regarding stock funds and considers a representation of unobservable information that until now has not been contemplated by the Brazilian literature. Understanding decisions to invest in stocks has become more important since the fall in interest rates and migration toward equity investments. The use of unobservable information for making investment decisions is important when choosing stock funds and the return gap could be added to the list of information offered to investors. The return gap measures the value added by managers in relation to the most recently disclosed complete lagged portfolio and was calculated every month for every asset in the portfolios of every fund in the sample disclosed with a three-month lag. A parsimonious sample was used of 22 actively managed funds in the period from January of 2010 to December of 2018, containing one from every one of the 22 biggest independent Brazilian managers, because it is laborious to calculate this metric. The return gap represents unobservable information about a fund. Investors that direct their capital toward stock funds with a higher historical return gap tend to obtain higher returns in out-of-sample tests, suggesting persistence of the returns of these funds and supporting the importance of unobservable information. Investors that directed their capital toward funds with lower historical return gaps could also obtain positive alphas in some cases, indicating that some managers were neglected. The fund flow results were inconclusive.

Mutual fund flow-performance dynamics under different market conditions in South Africa

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.

Can Momentum Be Explained by Fund Flows or Disposition Effect? The Impact of Behavioral Biases and Capital Flows in Brazilian Market Movements

Momentum is one of the most robust anomalies in financial markets, there are two main recent explanations for this phenomenon, a behavioral-based explanation through disposition-effect (i.e., the willingness to sell “winners” too quickly and to hold “losers” for a long time) and a fund-flow based explanation. The disposition-effect explanation is centered in the convergence of the spread between the fundamental value and the observed market price (disposition-effect causes an underreaction to news that generates this spread), and the fund flows-based explanation is due to the persistence of the performance of mutual-funds (which usually keep buying winning positions and selling the losses). This paper compares those theories using Brazilian data (which is suitable for the strong presence of momentum). The empirical analysis was done using Fama-MacBeth regressions with results pointing the disposition-effect explanation as the most significant, with the robustness analysis contributing positively to the main findings.