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This study aims to examine the role of fund family size on the money flow of Saudi Arabian open-end equity mutual funds. The author also investigates whether the relationship between fund flow and past return varies based on the fund's family size.

The study analyses 256 equity funds that operated in Saudi Arabia from 2006 until 2017. Pooled and fixed-effect regression models are used to test the relationship between mutual fund flow and family size.

The results indicate that fund flow is higher for large size family funds. The results also show that the relationship between mutual fund flow and past performance is more pronounced for large size families, which supports the concept that investors pay extra attention to funds' return and size.

The author provides evidence of the significant effect of family size of mutual funds on future money flow, which helps fund managers to understand investors' motivations for allocating their cash.

This paper contributes to the literature by examining the impact of family size level on the interaction between fund flow and past performance. This study is believed to be the first to investigate the family size factor in Saudi Arabia using a comprehensive data set.

This study introduces a new type of platform recommendation about mutual funds and draws on the signaling theory to conduct a quasi-experimental design to investigate how the platform recommendation influences investors’ investment decisions. Moreover, the authors examine the combined effect of star ratings and the platform recommendation on fund flow and test the investment value of recommended funds.

This study implements a quasi-experimental design based on 1,295 mutual funds traded on Alipay’s online platform to test the hypotheses.

The empirical results show that the recommended funds received higher fund flows from investors when the platform recommendation was established. Moreover, a substitution effect between tag recommendation and star ratings on fund flow was identified. We also uncovered that investing in platform-recommended funds can yield significant and higher fund returns for investors than those without platform recommendations.

Our findings shed new insights into the role of platform recommendations in helping fund investors make investment decisions and contribute to the business of online mutual fund transactions by investigating the effect of platform recommendations on fund flow and 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 study is about the determinants of cash holding and impact of cash holding on mutual funds’ performance. In addition, the study analyzes the impact of performance-related determinants of cash holding on funds' performance.

Panel data of ten years of 190 open-end mutual funds are analyzed through fixed effect regression technique. The risk-adjusted funds' performance of cash based portfolios is computed through capital asset pricing model (CAPM) (1964), Fama and French (1993) and Carhart (1997) models.

The results indicate that small size funds, high charging front-end load funds, high turnover ratio funds, high 12-month fund returns run up, high dividend paying funds and high redemption level funds hold more cash for precautionary purpose to avoid costs of cash short-falls. Further, monthly average raw returns and risk-adjusted performance of funds with the lowest raw and residual cash holding are found higher than the funds with the highest cash holding. An increase in cash is found to dilute performance.

This is a pioneer study in a corporate environment with shallow capital market, reliance of businesses on bank credit, firms exposed to agency issues, wealth expropriations and existence of business groups with political linkages but with opportunities of investments due to expected favorable geo-socio-political situation. The study generates outcomes relevant for other similar economies.

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.

This paper evaluates the performance of actively managed conventional and Islamic equity funds in a developing economy with a focus to assess the performance-growth puzzle posited by Gruber (1993) (a.k.a Gruber’s puzzle). Under the context of an emerging market of Pakistan, this study explores if actively managed equity fund (AMEF) managers have been able to add value by outperforming the market in terms of stock-selection and market-timing abilities; and the comparative performance analysis of Islamic versus conventional AMEFs is also carried out.

We employ Sharpe and Treynor ratios, Capital asset pricing model, Fama–French three factors model (1993), Carhart four-factor model (1997) and Hendrickson (1981) market timing models on 45 equity funds comprising of 23 conventional and 22 Islamic equity funds operating in Pakistan for a period of 10 years. The overall sample period (2008–2018) is divided into two 5 years sub-periods (i.e. 2009–2013 and 2014–2018) and three 3 years sub-periods (2009–2011, 2012–2014 and 2015–2017) to be viewed in conjunction with the country's macro-economic condition.

We report that the actively managed equity funds (AMEFs) were unable to beat the market index with their stock selection or market timing capabilities. However, AMEFs depicted improved performance in the post-global financial crisis period where both conventional and Islamic AMEFs generated substantial rewards for the given amount of risk. Also, conventional AMEFs outperformed Islamic AMEFs potentially due to their holdings in highly leveraged value and large-cap stocks, while Islamic AMEFS invest more cautiously in small-cap and value firms. Analysis of market timing skills revealed that the funds have not been able to select the undervalued stocks and adopted a defensive strategy in the post-global financial crisis recovery period.

Our findings shed some interesting insights and raise some pertinent questions for research, policy, and practice – specifically for developing countries’ context. The no ‘return-growth’ configuration defies its fit with the ‘Gruber puzzle’ and somewhat presents a case of what we call the ‘Inverse Grubber puzzle’. This novel notion of the ‘Inverse Grubber puzzle’ should inform policy and practice to reflect on their practices, institutional arrangement, regulatory framework and policy design in developing economies characterized by lacklustre performance and growth of AMEFs. For example, the regulatory design may consider focusing on stimulating financial inclusion and deepening by motivating low-cost Index tracker funds (ITFs) – with lower fund management costs, while allocating the avoided cost to flow towards effective marketing campaigns driving greater awareness, financial deepening, and investor base diversification. For future research, financial development researchers may explore the implications and appropriateness of AMEFs versus ITFs in other developing economies.

The work reported in this paper is original and constitutes a valuable asset for ethno-religious-sensitive investors. The research has not been published in any capacity and is not under consideration for publication elsewhere.

This study investigates the relation between ESG-driven investment strategies and the performance of infrastructure funds. More specifically, this study examines the impact of the different dimensions – environmental (E), social (S) and governance (G) – of the ESG profile of infrastructure funds on their performance.

To study the risk-return properties of infrastructure funds and the relationship with their ESG profiles, an econometric analysis is conducted, based on a sample of 180 listed, ESG-oriented infrastructure funds identified through Refinitiv Eikon.

The results show that infrastructure funds with more solid environmental investment policies experience a lower performance, while those with a stronger social orientation yield a superior performance. Governance-related investment policies seem trivial in determining the performance of these funds. Further analysis shows that ESG controversies have a negative impact on infrastructure funds' performance, whereas Emissions and Resource Use scores, both proxying for different elements under the environmental pillar, have opposite signs. Finally, the Community score has a positive impact on funds' performance consistent with the positive impact of the social pillar score. The study also provides a number of sub-sample analyses to shed light on the conditions under which each pillar has significant impact on funds’ performance.

First, infrastructure funds should choose the composition of their portfolio holdings in a way that the total return is not penalized by the prevalence of the tricky E aspects (compliance with environmental regulations) over the main benefits of the S dimension. Second, fund managers need to bet on infrastructures with an expected impact on the social pillar dimension such as those aimed at promoting the wealth of the local communities (e.g. hospitals, schools). Third, to strengthen the fund's social dimension, fund managers must increase the dollar amount of the assets under management to count on a higher firepower.

This study makes three contributions to literature. First, the ESG profiles of the infrastructure funds operating both at local and global level and their relationship with annual performance are studied. Second, the different dimensions of the ESG profile of infrastructure funds are investigated by measuring their impact on performance. Third, the study sheds light on some detailed but relevant aspects of this phenomenon by analyzing the breakdown of the ESG profile of infrastructure funds into four sustainability sub-scores capturing their efforts to reduce CO2 emissions, the use of polluting materials and to influence local communities as well their exposure to the risk of litigation due to the occurrence of ESG controversies. This study addresses the extent to which the adoption of ESG investment policies by the infrastructure funds have an impact on their performances.

We study the potential effects of pension underfunding on corporate investment, financial constraints and improved employee bonding using 10 Pacific-Basin countries (including the United States, Australia, and eight Asian countries) at heterogeneous economic development stages and different regulatory environments. We document that corporate pensions are significantly underfunded in most countries of our sample in the period of 2001–2017, when interest rates were ultralow in most countries. In addition, firms from countries with stronger employee protection and more generous retirement benefits tend to show higher levels of underfunding in their defined benefit (DB) pension plans. To the extent of pension underfunding imposing constraints on corporate investment, we find that firms in these countries can face more constraints on investment when their pension is underfunded.

This paper aims to provide a more comprehensive look behind the China’s rapid ascent and influence across the African continent by exploring the Sino-African funding data at the project level while incorporating recipient nations’ economic characteristics of interest such as trade data and natural resources endowment.

Combining AidData’s project reported data with country bilateral exports and imports data and other pertinent African countries’ data, the authors are able to perform a cross-sectional interrogation of China’s finding motives and their impact on the continent. The results indicate that the China’s funding to Africa mostly goes to energy and transportation sectors, as expected, and the recipient country’s exports to China increase as the funding increases. However, the authors find that the impact of China’s financing on the bilateral trade flow is unbalanced because the recipient country’s imports from China are not found to be significant.

Interestingly, although the analysis confirms that oil is a key contributing factor in attracting China’s funding, the authors discover that there exists no positive relationship between the China funding amount and the recipient country’s general natural resource level. The results do not support the common notion that China is primarily interested in extracting natural resource deposits, aside from oil, from the host nation when they allocate their funding.

Overall, the paper supports the theoretical propositions of the new structural economics framework when it comes to the relationship between China’s funding and the recipient country’s characteristics.

The purpose of this study is to examine the moderating effect of two types of external funds in terms of loan and government subsidy on the relationship between R&D investment and firms' innovation performance in emerging markets, as well as the contingent role of firm leader's international experience associated with the effects of loan and government subsidy.

The authors tested the hypotheses using a longitudinal dataset of 716 high-tech firms of Zhongguancun Science Park (ZSP) in China during 2008–2014, covering detailed information on the operations, financial situation and R&D activities, patents, etc. The authors finally identified an unbalanced panel of 2,430 firm-year observations. Considering the dependent variable is the countable data and non-negative values, the negative binomial regression with fixed effects was adopted to test the hypotheses.

The results show that the more loans or government subsidies the firm receives, the weaker the positive effect of R&D investment on firms' innovation performance in emerging markets. Furthermore, the findings reveal that firm leaders' international experience can mitigate the negative moderating effect of government subsidies, but strengthen the negative moderating effect of loans.

The study provides new insights into how loans and government subsidies as external funds influence the effectiveness of R&D in enhancing innovation performance, and the findings highlight the fact that more external funds can reduce firm R&D efficiency. Moreover, the authors also enrich the resource orchestration theory by revealing the critical role of firm leaders' international experience in the decision-making of resource configuration to mitigate the inefficiency of high subsidies in emerging markets.