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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.

We examine the benefits of active international mutual fund management. Is there an advantage to active fund management over investing in index funds? Previous research has found that for domestic funds, active fund management can not outperform index funds. But there has been no clear conclusion as to active international mutual fund management. We utilize Morningstar Mutual Fund data to analyze five international mutual fund categories, and overall, for a sample of 831 funds with 4,835 annual return data points. We find the difference in mean return (index minus fund return) is negative for all fund categories, except for Europe funds. The difference is significant overall and for four of the five fund categories. The results from the multivariate regression show no relationship between total return and expense ratio, but there is a significant positive relationship between total return and turnover, and a significant positive relationship between total return and fund size (LN net assets). As opposed to domestic mutual funds, it appears to be beneficial to select actively managed international mutual funds over index funds.

How investors can capitalise on a long‐term currency trend by leveraging their investment in a mutual fund is investigated. The sensitivity of mutual fund yields to exchange rate movements and the degree of leverage is tested for a strong dollar cycle (1981‐1984) as well as for a weak dollar cycle (1985‐1987). The empirical results provide evidence of the benefits derived from leveraging investments in mutual funds in anticipation of a long‐term trend in the home‐currency′s value. To facilitate the foreign leveraging by the small investor, the creation of foreign levered mutual funds is suggested. While this study was performed from the US perspective, the general implications apply to investors in any country.

To alert participants in the mutual fund industry to regulatory developments in the alternative mutual fund space as articulated by the SEC’s Director of the Division of Investment Management.

Reviews the Director’s discussion of the SEC’s concerns related to Valuation, Liquidity, Leverage and Disclosure resulting from the proliferation of alternative mutual funds. Additionally, summarizes the Director’s comments regarding Board oversight of alternative mutual funds.

While the Director’s speech does not establish any new law or regulation, it is a practical summary of the SEC’s expectations for mutual fund complexes when implementing and operating mutual funds with alternative investment strategies that have historically been the province of private funds.

Practical explanation from experienced financial institutions lawyers.

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 paper is to explain the risk of bad mutual fund data for a financial services firm that sells mutual funds and to recommend steps a firm can take to ensure the reliability of its mutual fund data.

Explains problems caused by missing data, including the “breakpoint issue,” the best sources of mutual fund information, problems firms have retrieving and compiling that information, and weaknesses in a free service (the “Service”) provided by a well known industry utility and securities depository that related to coverage, completeness, and cost. Recommends seven actionable steps a firm can take to ensure the accuracy of its mutual fund data.

Firms offering funds may sell billions of dollars of funds every week, and maintain considerably more on their books, but frequently they pay scant attention to the accuracy of their mutual fund reference data. The breakpoint issue is alive and well today, and would seriously erode investor and regulatory confidence if this fact became better known. For many firms, discrepancies in data result from funds having one policy disclosed to the SEC while their distributors use entirely different ones. Firms now realize that ensuring accurate reference data is no longer an issue that can be avoided.

Rather than operating under the false assumption that critical data is accurate, make sure you dedicate the time to examine your organization's use of mutual fund data to ensure efficient, ongoing investor relations and to ensure the overall reputation of your firm.

Professional advice from an experienced vendor of compliance systems and software.

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.