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In this paper, we examine whether fund market reactions are affected by the characteristics of categorized features of fund. To investigate the goal of the paper, we consider macroeconomic factors as well as financial characters. We classify fund flow into four groups depending upon type of fund and fund characters to determine which category is better to increase fund flow for capital market after these financial occurrence. In this regard, our research suggests important evidence about the effect of financial factor on fund flow with a case of an detailed situation in Emerging market. In order to test the hypothesis, we use seemingly unrelated regression (SUR) model to choose significant factors among various types of fund market-related changes. Our sample consisted of fund flows from 2006 to 2016 collected by Korean Financial Association and Bank of Korea. The empirical results are summarized as follows : First, we find that capital market index, exchange rate affect fund flows with time-lagged value changes. Second, the stock index fund and banking sector fund sales show strong positive relations with the fund flow changes. Third, values of the fund flow are significantly related with fund sales by asset management’s affiliated financial institution. These results are consistent with the hypotheses that the increase and decrease in the fund flows due to capital market situation are more pronounced as the financial factors fit. Our results suggest that it is necessary to consider the fundamental characteristics of fund flow changes as well as the external economic environment to get a more efficient market performance and supervision.

The main purpose of this study is to analyze the impact of monetary policies on Islamic mutual fund flows in the Islamic Republic of Iran.

In this study, a panel regression model was used to test the research hypotheses. The sample consists of 4,760 seasonality data and 119 Islamic mutual funds over ten-year period between 2011 and 2020. The dependent variable of the study is the cash flow of Islamic mutual funds and the independent variable of monetary policies includes the money growth rate, the liquidity growth rate, interest rate and inflation rate.

Based on the results of the hypothesis test, all research variables including money growth rate, liquidity growth rate, interest rate and inflation rate have a negative and significant impact on Islamic mutual fund flows. These findings are consistent with the efficient market hypothesis and signaling theory.

This study has implication for policymakers, regulators and fund managers. The results show that the negative impact of monetary policies on Islamic mutual fund flows has a direct effect on the allocation decisions and investment strategies of Islamic mutual fund investors and managers. Also, the results of the research can reduce policymakers’ concerns about monetary policies and provide them forward-looking guidance policy.

To the best of the authors’ knowledge, this is the first study to empirically examine the impact of monetary policies on Islamic mutual fund flows in an emerging economy and provides a significant contribution to the literature of mutual funds.

The purpose of this paper is to propose a new measure of portfolio activity, the modified turnover (MT), which represents the portion of the portfolio that the manager changes from one quarter to the next. Compared with the traditional turnover, the MT measure has a distinct interpretation, relies on portfolio holdings, includes the effects of flows and ignores the effects of offsetting trades.

Using quarterly holdings data, the authors examine the relationship between fund turnover, performance, and flows for a sample of 2,856 actively managed mutual funds over the period 1991-2012. The authors provide numerical examples to illustrate how the suggested measure, MT, is different from the traditional turnover measure. The authors use panel regressions, simple and double sorts to examine the predictability of performance.

The authors find evidence that high MT predicts lower performance. The comparison between the highest and lowest quintiles sorted based on MT reveals a difference of −2.41 percent in the annual risk-adjusted return. Furthermore, high MT predicts lower net flows. The authors also find that MT relates positively to other activeness measures while volatility, flows, size, number of stocks, and the expense ratio are significant determinants of MT. Overall, the results suggest that frequent churning of a portfolio is value destroying for investors and signals a manager’s lack of skill.

The authors offer a simple measure, namely, MT, for estimating the fraction of a portfolio that changes from one quarter to the next. Armed with this tool, the authors investigate whether funds deviate from their previous quarter’s holdings because of valuable or noisy information, and whether such signals are exploited by fund investors.

This paper aims to examine the information content of mutual fund flows and its indication on investors’ preference/tolerance toward risk.

Mutual funds are grouped into different categories based on assets with different levels of risk perceptions (e.g. equity fund, money market fund), and this information is publicly accessible. This paper examines the correlation patterns between fund flows and changes in credit default swaps (CDS) spreads. In addition, it also examines such a relation by dividing the samples into different fund types (e.g. retail vs institutional fund flows).

This paper suggests that equity fund flows are negatively related to CDS spreads, whereas money market fund flows are positively related to CDS spreads. Furthermore, it indicates that retail fund flows provide insightful information and serve as the primary driver behind the relation between fund flows and CDS spreads.

The findings of this paper indicate that flows into equity and money market funds could serve as a risk sentiment in credit markets. And this is the first study, to the best of the author’s knowledge, to establish such a linkage between fund flows and CDS spreads to help investors gauge credit market sentiment.

The unit trust industry is one of the fastest growing areas in the financial sector. This dramatic growth has raised concern about the level of investors’ knowledge, or lack thereof, relating to the factors associated with investment decisions. This study investigates the factors and dynamics behind cash flows into and from General Equity unit trusts from September 1996 to September 2001, and the extent to which market factors and unit trust characteristics explain the variation in cash flows. The analysis shows a significant positive relationship between cash flows and contemporaneous returns of the General Equity unit trusts and the equity market, while being negatively related to one‐month lagged returns and cash flows. Several of the determinants, including interest rates, fee structures, risk and fund size, are found to be insignificant at a 5% level. The results indicate that investors exhibit an element of profit maximisation, driven by performances and irrationality, in that they give less consideration to fee structures, risk and fund size.

Mutual fund investors assess a fund manager’s skills when allocating their capital. To identify the rationale behind retail investors’ decisions, this study aims to examine the relation between mutual fund flows and abnormal returns (alpha), as well as the various risk factors in the Japanese mutual fund market, which has distinctive characteristics regarding investors and distributors.

Six standard asset pricing models are used to investigate how investors assess mutual fund managers’ skills: the market-adjusted return, the capital asset pricing model and the Fama–French three-factor model and its augmented versions.

Contrary to the literature, this study finds that investors in Japan mainly rely on alpha to assess mutual funds. In particular, investors respond to alpha for fund inflows and their evaluations depend on the market environment and their mutual fund search costs.

This study measures the response of investors to the skills of mutual fund managers in the Japanese market – especially for funds purchased through bank-related distributors that have aimed to capture inexperienced retail investors since deregulation in the 1990s – and reveals their high response to alpha.

The purpose of this paper is probe the early data emerging from the KiwiSaver market and to draw insights on KiwiSaver investor behaviour, particularly in respect of the unique default provider feature of the scheme.

The primary source of data for this study is a purpose-built database compiled using data from KiwiSaver providers’ annual reports for the period 2009-2011.

The study finds that KiwiSaver members, like other investors, are chasing performance and seeking to avoid fees. However, an unexpected negative relation is found for bank ownership.

The key limitations of this data source include the low frequency, differing formats and levels of detail disclosed in various annual reports.

Chasing past performance indicates a need for investor education for KiwiSaver members.

The study provides an initial empirical examination of the KiwiSaver market, and the determinants of the flow of funds and members. The results can be used to guide policymakers and providers in their future decision-making around the scheme and individual offerings.

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.

The purpose of this paper is to study the determinants of aggregate fund flows to both equity and hybrid mutual funds. The authors test three hypotheses that help explaining the relationship between mutual fund flows and stock market returns, namely; the feedback-trader hypothesis, the price-pressure hypothesis, and the information-response hypothesis.

The study relies on Swedish quarterly data on mutual fund flows over the period 1998-2013. The methodology is twofold; through the structural models (AR(1)) the authors can say something regarding the relationship between mutual fund flows and financial macro variables. The analysis is further strengthened by utilizing a vector autoregressive model to test for Granger causality in order to determine the order of events.

Similar to both Warther (1995) and Jank (2012), the authors only find support for the information-response hypothesis. Additionally, the authors find new financial variables that have predictive power in determining mutual fund flows, namely; market fear (VIX), exchange rate, households’ expectation regarding inflation as well as outflows from mutual bond funds.

The study contributes to the body of literature in three ways. First, it complements recent findings on determinants of mutual fund flows but the authors also add to the knowledge by included new macro financial variables describing the real economy. Second, the authors include a few additional variables. Third, the vast majority of previous studies have used US data, the authors add to that a deeper understanding of determinants of mutual fund flows in smaller economies by using Swedish data.

This research aims to examine hedge funds’ performance, risk and flow before and after the implementation of the Stop Trading on Congressional Knowledge (STOCK) Act.

This paper includes the use of different factor models to highlight the performance and risk of hedge funds before and after the implementation of the STOCK Act. Hedge fund holdings are retrieved from Thomson Reuters Lipper Hedge Fund Database (TASS).

This study finds significant differences before and after the implementation of the STOCK Act. The results for the entire sample period indicate that hedge funds suffered lower-alpha, standard deviation and idiosyncratic risk after the implementation of the STOCK Act.

The paper’s originality and value lie in addressing the relationship gap between the STOCK Act and hedge fund performance.