It's all in the name: Mutual fund name changes after SEC Rule 35d-1 (2023)

Table of Contents
Abstract Introduction Section snippets Institutional background on SEC regulation Data and methodology Descriptive statistics Conclusion Dumb money: mutual fund flows and the cross-section of stock returns J. Financial Econ. Individual investor mutual fund flows J. Financial Econ. Out of sight, out of mind: the effects of expenses on mutual fund flows J. Bus. On persistence in mutual fund performance J. Finance Investor behaviour in the mutual fund industry: evidence from gross flows J. Econ. Finance Risk-taking by mutual funds as a response to incentives J. Political Economy Changing names with style: mutual fund name changes and their effects on fund flows J. Finance Sample selection bias as a specification error Econometrica Fund renaming and fund flows: Evidence from China's stock market crash in 2015 What's in a (Green) Name? The Consequences of Greening Fund Names on Fund Flows, Turnover, and Performance Fund names versus family names: Implications for mutual fund flows Esg-washing in the mutual funds industry? From information asymmetry to regulation When Mutual Fund Names Misinform Fund Names vs. Family Names: Implications for Mutual Fund Flows Risk-sharing, market imperfections, asset prices: Evidence from China’s stock market liberalization Government ownership and exposure to political uncertainty: Evidence from China Hedge fund return predictability; To combine forecasts or combine information? Out-of-sample equity premium predictability and sample split–invariant inference Do all new brooms sweep clean? Evidence for outside bank appointments How are market preferences shaped? The case of sovereign debt of stressed euro-area countries

Volume 84,

November 2017

, Pages 123-134

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https://doi.org/10.1016/j.jbankfin.2017.07.008Get rights and content

Abstract

We study how investors respond to ‘superficial’ mutual-fund name changes that occur for no fundamental reasons. We find that such name changes remain widespread even after regulation to curb potentially misleading name changes (SEC Rule 35d-1). Superficial changes are more widespread than previously studied ‘misleading’ changes that are not accompanied by corresponding portfolio adjustments reflecting the investment style suggested by the new name. Superficial changes appear to be driven by managerial incentives. Investors react to superficial changes with increased fund flows but appear to gain no benefit through improved performance or lower fees. On the contrary, name-change funds underperform as a group. Our findings highlight inefficiencies in the mutual-fund market and hold important implications for the stakeholders involved.

Introduction

In 2001, the US Securities and Exchange Commission (SEC) introduced Rule 35d-1 to regulate mutual fund names. The rule aimed to address concerns that investors may be misled by fund names that do not reflect their true underlying asset holdings and risks. From 31 July 2001 onwards, Rule 35d-1 requires funds to invest at least 80% of their portfolios in assets suggested by the fund name. The regulatory intervention followed a significant number of fund name changes without corresponding changes in the underlying fund portfolios (Cooper et al., 2005). The issue was highlighted by practitioners in the 1990s:

“An investment in Fidelity's Blue Chip Growth Fund certainly sounds like a stake in America's industrial giants. So shareholders might be startled to learn that their five-year return of 115 percent was achieved by a shift into risky medium-sized companies and international stocks. … The truth is, potato-chip makers are subject to stricter labeling requirements than mutual funds are - and that's a problem for investors faced with more than 7000 stock and bond-fund choices.”

(Source: U.S. News & World Report 1997)

Information about a fund's investments and related risks cannot be captured by the name alone, but the fund name can signal an association with a broad category of investment style. The SEC has recognized the importance of such communication in regulating fund names. In an industry with an increasingly diverse range of products, Rule 35d-1 is meant to reduce investor confusion and aid investors in making appropriate investment decisions.

The controversy over fund names and the adoption of Rule 35d-1 increased the regulatory (compliance) costs to funds of changing their names, which should have reduced funds’ propensity to change names, all else equal. Moreover, one might expect that SEC warnings and Rule 35d-1 made investors more cautious of funds that change their names. As a result, it seems reasonable to expect that Rule 35d-1 would reduce the expected benefits to funds of name changes through abnormal fund inflows by misled investors. If the expected (regulatory) costs to funds of name changes increase, while their expected benefits fall, we would expect to observe comparatively fewer name changes after the adoption Rule 35d-1. While a name change can be useful to communicate a change in some underlying fundamentals of the fund (e.g. a portfolio change), we should expect managers to be more conservative following the new regulation, particularly for name changes that are not motivated by any such fundamental changes.

Our study examines all name changes by US equity funds after the adoption of Rule 35d-1 during 2002(Q4)−2011. Our sample period starts after the publication of Rule 35d-1, and after its compliance date in September 2002, by which time funds with previously misleading names had to have adopted more appropriate names. To our knowledge, this is the first study of mutual fund name changes after the adoption of Rule 35d-1. We have a relatively large sample size of 2677 name changes compared to previous studies, which additionally allows us to explore some of the heterogeneity issues across the fund industry in the context of name changes.

Our study is related to Cooper et al. (2005) who analyse funds that adopt new names that suggest specific investment styles. Based on data before the implementation of Rule 35d-1, Cooper et al. find that name changes give rise to significant abnormal inflows into funds that change their names, particularly for funds that are renamed to reflect recent winning investment categories (‘hot styles’ ). They find that 63% of style-related name changes are ‘misleading’ in that they are not accompanied by corresponding changes in portfolio holdings to reflect the investment style suggested by the new name.1 We find that misleading name changes continue to occur even after the introduction of stricter regulation through Rule 35d-1, although the proportion is lower at 20% of style-related name changes in our sample.

Following the introduction of Rule 35d-1 and the SEC advice to investors not to base investment decisions on fund names alone, we expect investors to be more wary of fund-name changes and exercise greater caution when investing in funds following name changes. Hence, we would expect investors in the market to treat misleading name changes differently from non-misleading ones. There is no reason to expect abnormal fund inflows in response to the former. Contrary to expectations, we find significant abnormal flows into funds that make misleading name changes. The magnitude of these abnormal flows in the first quarter after the event is comparable to that found by Cooper et al. (2005), although we do not find a substantial long-term affect. Interestingly, we do not find evidence of negative drift in abnormal flows for up to one year post event. It is worth noting that while Cooper et al.’s sample consists of only 332 name changes around certain investment styles, our results are based on a larger, more inclusive sample (2677 changes) that includes all types of name changes in equity mutual funds.

We analyse determinants of short-term and long-term abnormal flows to better understand the drivers of such behavior. Even after controlling for various factors (including marketing and hot styles), we find investors do not differentiate in their reaction between misleading and non-misleading name changes. The non-differential response is seemingly in contrast to expectations following the Rule 35d-1, as investors appear to treat both types of name changes as a positive signal. This investor reaction may be a rational response after all. While a misleading name change may not have a corresponding portfolio change, it may be accompanied by a fundamental change in some other driver of future earnings potential of the fund (such as a change in ownership or management). In such a case, a name change labeled as ‘misleading’ may very well hold information that would be useful to an investor. This leads us to ask a broader question with potentially wider implications: Do investors react differently when name changes are accompanied by fundamental changes to the fund to when they are not?

We address this question by studying investor reaction to name changes that we classify as ‘superficial’ in the sense that they lack a fundamental cause. More precisely, these are name change events not warranted by changes in a fund's investment strategy or holdings, a merger or acquisition, or a change in the fund manager.2 We document widespread adoption of such name changes by mutual fund managers; in fact, these constitute a majority (approximately 60%) of all the name changes in our sample period. We further find that such changes are more likely to occur as a response to lower managerial compensation as a result of a shrinking asset base over time and lower management fees (in percentage terms of asset base).

We should not expect investors to react to non-fundamental, superficial name changes as these events contain absolutely no information regarding a change in the future potential earnings of the fund. In contrast to our expectations, however, we find that not only do such name changes attract significantly positive abnormal flows but that these are not significantly different than those of fundamental, non-superficial name changes. This is indicative of a much larger inefficiency in the market than misleading name changes; a superficial name change is approximately four times more likely to occur than a misleading name change (there are only 435 misleading changes in our sample period as opposed to 1605 superficial changes). Interestingly, the magnitude of abnormal flows to superficial name changes is also larger than that to misleading ones. As before, controlling for other factors does not change our findings. We also find no evidence that performance improves after such name changes or that fees decrease, indicating some irrationality on part of investors. Instead, we find that investors tend to lose out due to lower returns to name-change funds as a group.

The rest of the paper is structured as follows. Section 2 reviews the relevant SEC regulation. Section 3 describes our data and methodology. Section 4 outlines and discusses our results. Section 5 concludes the paper.

Section snippets

Institutional background on SEC regulation

In March 2001, the Securities and Exchange Commission (SEC) introduced a new rule under the Investment Company Act of 1940. The new legislation, known as Rule 35d-1, was adopted to regulate certain broad categories of investment company names that are likely to mislead investors about the fund's investments and risks. It requires a mutual fund to hold at least 80% of its portfolio in the type of security indicated by its name.3

Data and methodology

The data used in this study is sourced from the Centre for Research in Securities Prices (CRSP) mutual fund database. We use quarterly data since fund name changes are tracked at this frequency. Our sample period starts from the fourth quarter of 2002, after the SEC compliance date for Rule 35d-1 has passed (July 31, 2002), to ignore the effect of funds changing names simply for compliance reasons. Following previous literature in mutual funds, we limit ourselves to only US equity mutual funds.6

Descriptive statistics

Table 1 compares the descriptive statistics of the name-change funds against the universe of all other equity mutual funds, aligned on the date of the name change. Panel A of Table 1 shows that name-change funds have relatively lower total net assets and net fund flows prior to changing their name.9

Conclusion

This paper examines investors’ reaction to name changes by U.S. equity mutual funds following the adoption of Rule 35d-1 by the SEC in 2001. This regulation was meant to improve investor protection against questionable practices involving mutual fund names. Nevertheless, we document the occurrence of misleading and superficial name changes during our sample period. The latter is especially common, accounting for a majority (60%) of name changes. Such changes appear to be motivated by managerial

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  • Fund renaming and fund flows: Evidence from China's stock market crash in 2015

    2022, Economic Modelling

    Citation Excerpt :

    Results show that changing a fund name from “equity” to “hybrid” significantly increases fund inflow, and this effect cannot be fully explained by three main competitive hypotheses: changes in investment strategy, fund performance, or fund fees. Furthermore, to mitigate the possible endogeneity problem in the regression (Espenlaub et al., 2017), an instrumental variable (IV) for fund renaming and the PSM method are applied, with similar results. Then, with regard to the mechanism influencing how a name change impacts the flow of financial capital, we provide evidence that a new name could help increase investor attention.

    Understanding the reasons and mechanisms for fund flows in capital markets is very important. The literature lacks evidence testing the mechanism affecting fund flow following a fund name change. Based on mutual fund renaming events during the 2015 stock market downturn in China, we show the impact of a name change on fund flow. First, compared with “equity” funds not renamed, those renamed “hybrid” from “equity” have a 15% increase in inflows after the change. Second, this increase cannot be fully explained by investment strategies, performance, risk, or fee structure. Third, the increase is achieved by influencing the attention of investors, as indicated by a significant jump in the number of Internet searches and forum posts related to the renamed funds. Finally, the name change inflow effect is stronger for funds from star investment management companies and for those with a longer history.

  • What's in a (Green) Name? The Consequences of Greening Fund Names on Fund Flows, Turnover, and Performance

    2021, Finance Research Letters

    Citation Excerpt :

    Cooper et al. (2005) show that changing a fund name to reflect a currently hot style brings additional flows to the fund. Espenlaub et al. (2017) find that investors respond positively to superficial fund-name changes, with increased fund flows. In line with these papers, we show that a change to a sustainability-related fund name captures investor attention and attracts additional fund flows.

    We examine a sample of U.S. mutual funds and find that, between 2003 and 2018, 28 funds have changed their names to a sustainability-related appellation. Following the name change, we observe three main outcomes: (i) an increase in fund flows, (ii) a significant rise in portfolio turnover, and (iii) no substantial change in fund betas and alpha.

  • Fund names versus family names: Implications for mutual fund flows

    2022, Financial Review

  • Esg-washing in the mutual funds industry? From information asymmetry to regulation

    2021, Risks

  • When Mutual Fund Names Misinform

    2020, SSRN

  • Fund Names vs. Family Names: Implications for Mutual Fund Flows

    2020, SSRN

  • Research article

    Risk-sharing, market imperfections, asset prices: Evidence from China’s stock market liberalization

    Journal of Banking & Finance, Volume 84, 2017, pp. 166-187

    We examine the roles of risk-sharing and other factors in stock price revaluation during a recent liberalization episode in China. Consistent with the theoretical prediction that liberalizations reduce systematic risk, we find that risk-sharing explains approximately one-fourth of the price revaluation of investible stocks during the eight-month window between reform announcement and implementation. The firm-specific information generated by the reform is more efficiently priced into stocks that have a higher degree of market liquidity, information transparency, and informed trading.

  • Research article

    Government ownership and exposure to political uncertainty: Evidence from China

    The government of China started its anti-corruption campaign in December 2012. Since then, more than 600 government officials have been investigated. We regard the investigations involving senior officials as signals of increased political uncertainty. Focusing on these events, we study how firms’ exposure to political uncertainty varies with government ownership. It is found that the stock performance of private firms is worse on the event days than in normal times, whereas state-owned enterprises (SOEs) suffer less from the events. Moreover, the event-day effects are not quickly reversed in the post-event periods. Among SOEs, the negative impact of the events also decreases with government ownership. The evidence indicates that government ownership mitigates firms’ exposure to political uncertainty.

  • Research article

    Hedge fund return predictability; To combine forecasts or combine information?

    Journal of Banking & Finance, Volume 56, 2015, pp. 103-122

    While the majority of the predictability literature has been devoted to the predictability of traditional asset classes, the literature on the predictability of hedge fund returns is quite scanty. We focus on assessing the out-of-sample predictability of hedge fund strategies by employing an extensive list of predictors. Aiming at reducing uncertainty risk associated with a single predictor model, we first engage into combining the individual forecasts. We consider various combining methods ranging from simple averaging schemes to more sophisticated ones, such as discounting forecast errors, cluster combining and principal components combining. Our second approach combines information of the predictors and applies kitchen sink, bootstrap aggregating (bagging), lasso, ridge and elastic net specifications. Our statistical and economic evaluation findings point to the superiority of simple combination methods. We also provide evidence on the use of hedge fund return forecasts for hedge fund risk measurement and portfolio allocation. Dynamically constructing portfolios based on the combination forecasts of hedge funds returns leads to considerably improved portfolio performance.

  • Research article

    Out-of-sample equity premium predictability and sample split–invariant inference

    Journal of Banking & Finance, Volume 84, 2017, pp. 188-201

    For a comprehensive set of 21 equity premium predictors we find extreme variation in out-of-sample predictability results depending on the choice of the sample split date. To resolve this issue we propose reporting in graphical form the out-of-sample predictability criteria for every possible sample split, and two out-of-sample tests that are invariant to the sample split choice. We provide Monte Carlo evidence that our bootstrap-based inference is valid. The in-sample, and the sample split invariant out-of-sample mean and maximum tests that we propose, are in broad agreement. Finally we demonstrate how one can construct sample split invariant out-of-sample predictability tests that simultaneously control for data mining across many variables.

  • Research article

    Do all new brooms sweep clean? Evidence for outside bank appointments

    Journal of Banking & Finance, Volume 84, 2017, pp. 135-151

    Banks in bad financial shape are more likely to appoint executive directors from the outside than those in good shape. It is, however, not clear whether all of these appointments necessarily lead to the desired turnaround. We analyze the performance effects of new board members with external boardroom experience (outsiders) by distinguishing between good and bad managerial abilities of executives based on either ROA or risk-return efficiency of their previous employers. Our results show that banks appointing bad outsiders underperform other banks while those appointing good outsiders do so to a lesser extent. The performance differentials are highly pronounced in high-risk banks and in the post-crisis period.

  • Research article

    How are market preferences shaped? The case of sovereign debt of stressed euro-area countries

    Journal of Banking & Finance, Volume 61, 2015, pp. 106-116

    This paper reveals the underlying market preferences for sovereign debt of distressed euro area countries. We employ a generalised flexible market loss, as it nests both the linear and the non-linear form, as a function of the ‘basis’, the difference between sovereign bond spread and the Credit Default Swap. Our evidence shows that market preferences lean towards pessimism for some countries, in particular Greece. Those preferences do not remain stable over time as they shift further towards pessimism post the Greek bail out in spring 2010. As part of sensitivity analysis we apply a multivariate loss function to account for contagion effects in forming market preferences among different sovereign bonds. We also examine the impact of specific financial and fiscal governance factors on market preferences. Our results suggest that the market closely monitor fiscal fundamentals so as to shape preferences.

We would like to thank the editor Geert Bekaert and an anonymous referee for their useful suggestions. We are also grateful to the participants of the IFABS conference (Lisbon 2014), Krishna Paudyal, Brahim Saadouni and other colleagues at AMBS and LUMS for their insightful comments and suggestions. All remaining errors are our own.

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