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The present article aims to evaluate the performance of sixteen equity mutual funds operating in the Greek financial market over the period 1/1/1995‐31/12/1999. In doing so, the sample mutual funds were ranked on the basis of their return, total risk, coefficient of variation, systematic risk, and the techniques of Treynor, and Sharpe. Four mutual funds achieved lower return than the General Index of the Athens Stock Exchange (ASE). All sixteen mutual funds showed lower total risk, and risk‐return coefficient than the General Index of the ASE. In all mutual funds the beta coefficient was statistically significant at 5 per cent level of significance. The alpha coefficient was also statistically significant at 5 per cent level of significance in eight mutual funds. The movements of the General Index of the ASE explain more than 80 per cent of the variation in return in all sixteen mutual funds. Eight mutual funds were ranked in the same order on either Treynor’s or Sharpe’s technique.

The present article aims to evaluate the performance of thirty‐nine domestic bond mutual funds operating in the Greek financial market over the period 15/3/1999‐31/12/1999. The ranking of the sample mutual funds is different between the average daily return, and the total risk. On the basis of the coefficient of variation the sample mutual funds are classified in nine categories. The performance of thirty‐three mutual funds is affected, and can be explained to a satisfactory level by the movements in the Bond Index. On the other hand, the performance of twenty‐five mutual funds is affected, and can be explained to a satisfactory level by the movements in the General Index of the ASE. The Bond Index appears to approximate the market portfolio closer than the General Index of the ASE. Twenty‐seven from the sample mutual funds show values for alpha coefficient different than zero value that is assumed by the capital asset pricing model.

The current and ongoing controversy that has come to be known as the “Mutual Fund Scandal of 2003” was based in large part on abusive market timing activities that were allowed to occur in select mutual funds. There are many ways in which amarket timer can steal profits through short‐term trading activities but the primary opportunity arises in those mutual funds that invest in foreign shares of stock. This 2004 article looks at a sampling of those mutual funds that invest in companies based in the United Kingdom and evaluates the potential for abusive market‐timing activities.

The present article aims to evaluate the performance of ten domestic balanced mutual funds operating in the Greek financial market over the period 1/1/1995‐31/12/1998. In doing so, the sample mutual funds were ranked on the basis of their return, total risk, coefficient of variation, systematic risk, and the techniques of Treynor, Sharpe and Jensen. The ten mutual funds achieved lower return than the General Index of the Athens Stock Exchange (ASE). However, the mutual funds achieved satisfactory return in relation to the total and systematic risk undertaken. The sample mutual funds followed defensive investment policy that was in line with their objectives. The General Index of the ASE appeared to be a close approximation of the market portfolio. To some extent the ranking of the mutual funds varied among the techniques of Treynor, Sharpe and Jensen, although certain mutual funds were ranked in the same order regardless of the technique used. According to Jensen, seven mutual funds had superior performance, while the remaining three demonstrated poor performance.

This study explores the contagion of greenwashing strategies among ESG mutual funds. It investigates how the greenwashing behaviors of peer funds within the same family influence a fund’s decision to engage in greenwashing. The research also examines the impact of greenwashing on genuine ESG funds and explores the mechanisms through which greenwashing strategies spread across ESG mutual funds.

This paper employs a two-stage least squares regression model with cross-fund returns standard deviation as an instrumental variable to disentangle the peer effects of greenwashing from family-level characteristics. The analysis incorporates various fund characteristics and introduces four contagion channels through which greenwashing may influence genuine ESG funds.

The study finds greenwashing behavior in ESG funds is positively influenced by similar practices within their fund family. Larger assets under management and older funds with higher management fees show resilience against greenwashing influences, while team-managed funds are more susceptible. Additionally, socially responsible investors struggle to distinguish between genuine and greenwashing ESG funds, which may contribute to the persistence of greenwashing practices.

This paper contributes to the literature by delineating the mechanisms of greenwashing contagion within ESG mutual funds. It also examines the demand-side incentives for adopting greenwashing strategies, offering insights into the implications for fund flows and investor behavior. This study is among the first to analyze the contagion effects of greenwashing strategies across an extensive network of ESG funds, enriching our understanding of the broader impacts of greenwashing in the context of socially responsible investing.

This paper deeply investigates the herd behavior of the Egyptian mutual funds under changing and different conditions of the market pre- and post-events and compares the impact of asymmetric risk conditions on the herding behavior of the Egyptian mutual funds in both up and down markets.

We test for the existence of herding for the whole period from 2003 to 2022, as well as for the pre-and post-different Egyptian uprising periods. We employ two well-known models, namely the cross-sectional standard deviation (CSSD) and cross-sectional absolute deviation (CSAD) models. Additionally, we use the quantile regression approach.

We find that the behavior of mutual funds does not change following the different political and social events. For the whole period, we find evidence of herding behavior using only the model of CSAD in down-market conditions. We generalize our finding to be evidence of the existence herding behavior in different quantiles, under only the down market in specific points’ pre, post or both given events throughout the whole series. Conversely, during the upper market, we show a full absence of herding behavior considering all different quantiles. When the market is down, managers are afraid of the condition of uncertainty, neglecting their own private information, avoid acting independently and consequently, following other mutual funds. When the market is up, managers become rational and act fully independent.

Future research should delve deeper into the drivers of herding behavior, assess its longer-term effects, develop risk management strategies and consider regulatory measures to mitigate the potential negative impact on mutual fund performance and investor outcomes.

The study reveals that the behavior of mutual funds remains consistent despite various political and social events, suggesting a degree of resilience in their investment strategies. The research uncovers evidence of herding behavior in both high and low quantiles, but exclusively in down markets. In such conditions of market decline, fund managers appear to forsake their private information, exhibiting a tendency to follow the crowd rather than acting independently.

The study reveals that the behavior of mutual funds remains consistent despite various political and social events, suggesting a degree of resilience in their investment strategies. The research uncovers evidence of herding behavior in both high and low quantiles, but exclusively in down markets. In such conditions of market decline, fund managers appear to forsake their private information, exhibiting a tendency to follow the crowd rather than acting independently. Future research should delve deeper into the drivers of herding behavior, assess its longer-term effects, develop risk management strategies and consider regulatory measures to mitigate the potential negative impact on mutual fund performance and investor outcomes.

The paper investigates the herd behavior of the Egyptian mutual funds under asymmetric risk conditions, the study follows the spectrum of the herding behavior analysis and Egyptian mutual funds, extending the research with imperial analysis of market conditions pre- and post-events including currency floating, COVID-19 and political elections. The study gives substantial recommendations for policymakers and investors in emerging markets mutual funds.

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 estimates the impact of changes in the mutual fund distributor incentive structure on distributor-advised mutual fund flows. The authors employ two recent major policy interventions by the Indian self-regulatory authority and the financial market regulator – one partial ban and another complete ban on upfront commissions – paid to mutual fund distributors on distributor-advised mutual fund flows.

The authors use novel distributor-level data across the 198 largest distributors in India between 2013 and 2020 and a series of pooled panel random-effect generalized least squares models with robust standard errors to explore the effect of changes of distributor commissions on distributor assets-under-management (AUM), gross sales, commissions and changes (%) in the number of investors in alternate investment avenues like portfolio management services (PMS).

Changes in the incentive structure have a significant negative effect on mutual fund flows at an aggregate level and within MF distributor categories. A significant diversion of investor funds toward PMS is noted, which paid higher upfront commissions to distributors during the same period.

The authors posit that these two developments are not mutually independent and that both fall out of the aforementioned policy changes by Securities and Exchange Board of India and Association of Mutual Funds in India. The study findings have implications for all stakeholders in the Indian mutual fund industry and, by extension, for Indian and global alternative investment avenues.

This study is the first to explore the effects of these two major policy interventions by regulators on mutual fund flows in India.

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.