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The study assess the selection ability and market timing skills of mutual fund and unit trust managers in Ghana.

The study uses an improved survivorship bias-free dataset of yearly after-fee returns of all mutual funds and unit trusts operating in Ghana from January 2011 to December 2019, cumulating in nine years of quantitative fund data. The authors assess Mutual funds and Unit trusts that ever existed, “alive” or “dead,” over the sample period in the study. The authors construct factor loadings to enable the application of multifactor models in the analysis. The authors apply the unconditional versions of the Jensen alpha, Fama-French three-factor, and Carhart four-factor models to determine the selection ability and market timing skills of 32 mutual funds and 17 unit trusts. The authors deploy HAC-consistent robust standard errors to the OLS estimations to subdue the effect of heterogeneity and autocorrelation.

The results indicate that, on average, mutual funds and unit trust managers possess market timing skills but no selection ability. When the results are decomposed into fund types, fixed-income and balanced mutual fund managers possess selection ability and market timing skills.

To the authors' best knowledge, this study is the earliest to examine the selection ability and market timing skills of both mutual fund and unit trust managers in Sub-Saharan Africa (SSA). It is also the earliest to construct factor loadings for the Ghana stock market.

This study examines current dynamics, consolidates current knowledge, elicits trends, identifies and analyzes primary research clusters, and offers future research directions for mutual fund marketing.

Using bibliographic information from the SCOPUS database, this study used sequential bibliometric (143 documents) and content analyses (37 documents). Bibliometric analysis aids descriptive analysis and science mapping, while content analysis facilitates identifying and analyzing research clusters and provides future research directions.

The study identifies publication trends, the most relevant authors, and journal articles and unveils the knowledge structures of the field. Analysis of bibliographic coupling reveals the following significant clusters: (1) socially responsible investing and investor preferences, (2) investor factors and traits and investment decisions; (3) external factors, mutual funds' performance and proxy information; (4) the role of disclosures and ratings in shaping investment choices, and (5) cognitive biases, information processing errors and investor behavior. Finally, it offers future research directions.

Using different databases, bibliometric analysis tools, study periods or article screening criteria for the study might yield different results. However, this study's significant findings are robust to such alternatives.

This study summarizes primary clusters and identifies gaps in the current literature, which helps scholars, practitioners, regulators and policymakers understand the nuances of mutual funds marketing. Future studies may focus on the role of online and offline integration, using neuroscience for data m and contemporary investment behavior models.

This is the first study to apply a two-stage sequential hybrid review of articles published over the last decade in high-quality journals, enabling an analysis of the depth and breadth of mutual funds marketing research.

The purpose of this study is to evaluate the performance of mutual funds during the COVID-19 pandemic with environmental, social and governance (ESG) criteria. The main research question is whether mutual fund performance differs with respect to the level of the mutual fund’s ESG score.

The data set contains global fund data, and mutual fund performance is analyzed using two types of data envelopment analysis (DEA) models: the DEA portfolio index (DPEI) and the range direction measure (RDM) DEA. Propensity score matching and logistic regression are also applied.

The results reveal that: nonequity mutual funds present significantly higher performance compared to the performance of equity mutual funds; mutual funds with high ESG scores are associated with significantly higher performance compared to those with low to medium ESG scores; funds with high ESG scores experience higher performance irrespective of their type; and efficiency scores derived from the RDM DEA are significantly higher than those derived from the DPEI model.

Investors, fund managers and market participants can benefit from the findings of this study and improve their investment decision-making process, including more sustainable funds in their portfolios. Regulators and policymakers should further promote or even require the inclusion of more sustainable investments in the financial products offered by institutional investors. The main limitation of the study is related to data availability regarding the ESG score of mutual funds.

To the best of the authors’ knowledge, this is the first study that provides robust evidence in support of a positive association between ESG scores and mutual fund performance during the pandemic-induced crisis applying a DEA methodology.

The purpose of this paper is to find whether Chinese equity funds outperform the market and do Chinese fund managers possess positive market timing ability. This study also aims to investigate whether well-performing (worst) funds of last year continue to perform well (worst) in the following year.

Capital Asset Pricing Model and Carhart four-factor model are used for performance analysis, whereas for analyzing market timing ability, the Treynor and Mazuy (1966) and Henriksson and Merton (1981) models are applied. To investigate persistence in the performance of Chinese equity funds, all equity funds are divided, on the basis of performance in the past 12 months, into three equally weighted groups (high, middle and low) and then observed for next 12 months. After that, groups are again rebalanced according to their performance. This study uses a panel regression model for analysis.

Chinese equity funds are successful in providing higher than market returns, and fund managers possess positive market timing ability. The authors find that Chinese equity funds do not show persistence in performance as witnessed in developed markets. Well-performing funds (worst funds) of last year do not continue to provide higher (lower) return in the following year. Moreover, the authors detect positive relationship of fund size, age and expense ratio with the fund’s performance. Overall results suggest that emerging market equity funds show better performance than that of developed markets.

Investors are better off if they invest in equity funds instead of index funds, as results illustrate that equity funds outperformed the market. Further, the strategy of buying well-performing funds of last year and selling poorly performing funds of last year does not look very attractive in China. This study helps investors to understand the Chinese managed funds industry, and such an understanding is also helpful for fund managers and asset management companies who use performance information in marketing strategies.

This is the first study to investigate the performance persistence in Chinese equity funds and also contributes to the literature about the performance and market timing ability of equity funds. The study takes the sample of 520 equity funds for the period from 2004 to 2014, which includes a period of financial crisis of 2008.

This study evaluates risk‐adjusted performance of socially responsible mutual funds during the period 1991‐2000, using objective statistical measures grounded in modern portfolio theory. A socially responsible mutual fund is defined as one which employs “social screens” in stock selection, such as whether a fi rm manufactures tobacco products, whether it is in the gambling business, whether it heeds environmental safety, its human rights records, etc. The main objective of this study is to provide empirical documentation on the risk‐adjusted returns of these mutual funds, for the benefit of investors. To our knowledge, this is one of the first, if not the first, academic study to utilize a relatively new risk‐adjusted performance measure, posited by Nobel Laureate Franco Modigliani and Leah Modigliani in 1997 (hereafter referred to as M Squared), to evaluate socially responsible mutual funds. The idea that underlies their methodology is to adjust the investment risk of a mutual fund to the level of risk in an unmanaged benchmark stock‐market index and then measure the returns on the risk‐matched fund. The M Squared measure not only relates the level of risk to the level of reward, but also enables risk‐adjusted returns to be reported on a percentage basis, rather than on an absolute basis, which makes them more easily understood by the average investor. The results of this study can be used in decision making by investors who seek objective criteria to select a socially responsible mutual fund from among a menu of several funds.

The purpose of this paper is to investigate the impact of investor confidence on mutual fund performance in two relatively vulnerable but leading emerging markets, India and Pakistan.

A pooled ordinary least squared (OLS) model is used to look at two alternative measures of investor confidence and test for the relationship between investor confidence and mutual fund returns. To check the robustness of the findings, the authors also implement two-stage least squares and generalized method of moments techniques to control for unobserved heterogeneity, simultaneity and dynamic endogeneity problems in the regressors.

The paper finds that the returns of mutual funds are positively associated with investor confidence and an interaction effect exists between investor confidence and persistence in performance. The paper also confirms that returns from mutual funds are associated with different fund characteristics such as fund size, turnover, expense, liquidity, performance persistence and the fund’s age. These findings remain robust to alternative model specifications and measures of investor confidence.

While the previous literature mainly focuses on mutual fund characteristics and the macroeconomic determinants of mutual fund returns, this paper demonstrates that investor confidence plays an important role in determining mutual fund performance. The authors attribute this finding to two relatively unique features of the emerging markets in the study. A lack of awareness of mutual funds as being a low-cost investment vehicle and the interplay of cultural and behavioral changes have prevented investor’s savings from being channeled into investment products, away from gold or property.

This study aims to comparatively analyze the systematic, idiosyncratic and downside risk exposure of both Islamic and conventional funds in Pakistan to see which of the funds has higher risk exposure.

The study analyzes different types of risks involved in both Islamic and conventional funds for the period from 2009 to 2016 by using different risk measures. For systematic and idiosyncratic risk single factor CAPM and multifactor models such as Fama French three factors model and Carhart four factors model are used. For downside risk analysis different measures such as downside beta, relative beta, value at risk and expected short fall are used.

The study finds that Islamic funds have lower risk exposure (including total, systematic, idiosyncratic and downside risk) compared with their conventional counterparts in most of the sample years, and hence, making them appear more attractive for investment especially for Sharīʿah-compliant investors preferring low risk preferences.

As this study shows, Islamic mutual funds exhibit lower risk exposure than their conventional counterparts so investors with lower risk preferences can invest in these kinds of funds. In this way, this research provides the input to the individual investors (especially Sharīʿah-compliant investors who want to avoid interest based investment) to help them with their investment decisions as they can make a more diversified portfolio by considering Islamic funds as a mean for reducing the risk exposure.

To the best of the author’s knowledge, this study is the first attempt at world level in looking at the comparative risk analysis of various types of the risks as follows: systematic, idiosyncratic and downside risk, for both Islamic and conventional funds, and thus, provides significant contribution in the literature of mutual funds.

In the European Union, the Undertakings for Collective Investment in Transferable Securities Directive (UCITS IV) requires fund management companies to provide a Key Investor Information Document (UCITS KIID) for investors. This papers uses archival data from the Finnish mutual fund market to test how the regulation's information disclosure requirements concerning past performance, risk and fund fees are associated with mutual fund flows.

The study uses archival data on the mutual funds market in Finland to test how the regulation relating to retail investors' information requirements is associated with mutual fund flows.

Our findings suggest that the UCITS KIID predicts retail investors' fund flows. While past performance is associated with fund flows throughout the observation period, retail investors appear to have become more sensitive to fund fees and invest in less risky funds following the adoption of the UCITS IV period.

Information relating to fund fees and risk appears to be relevant to retail investors, which should be acknowledged in future iterations of short-form disclosure and in mutual fund marketing.

This paper is the first to assess the significance of KIID in actual market environment.

The main purpose of this study is to use the Sharpe Ratio to test the efficient market hypothesis for different market capitalization and investment styles of mutual funds. The results of the study for the entire period of 1994‐2007 as well as the two subperiods (1994‐1999 and 2000‐2007) indicate that small cap funds have provided the highest risk‐adjusted return for the entire period whereas growth funds have exhibited lower returns. The findings, therefore, suggest that the mutual funds market is not always efficient, which makes it possible for an investor or a mutual fund manager to earn excess return on a risk‐adjusted basis.