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Active Flows and Passive Returns
Abstract
The positive relationship between money flows into investment products and their return performance is an important market
indicator for market practitioners and academics. This article studies the impact that active versus passive investment styles
have on this relationship. We further evaluate the effects of a passive approach in two crucial stages: portfolio selection
and asset allocation. We find that a passive investment style in either stage weakens the relationship between flows and returns
compared with an active style. However, the investment style in the asset allocation stage has a greater effect than in the
portfolio selection stage, on the relationship between flows and returns.
... I examine stock exchange characteristics that are unique to ETFs to study the effect of market liquidity on ETF launching decisions. Given the extensive debate on active versus passive management (Levy and Lieberman, 2016;Garleanu and Pedersen, 2019), this paper explores whether family decision to launch new ETFs in a particular investment objective is correlated with characteristics of the MF equivalent. ...
This dissertation consists of three essays related to fund management, and in particular, mutual funds (MFs) and exchange-traded funds (ETFs). The first essay studies the decision by an asset manager to launch an exchange-traded fund (ETF). Fund families focus on both revenue generation and cost reduction when making launching decisions, with new ETF launches being driven more by investor demand than past performance. The ETF industry exhibits significant economies of scale and scope, allowing larger families to benefit from specialization while giving smaller families pressure to expand their product line. Competitors tend to follow the asset allocation decisions of the three largest ETF providers, unless when it comes to less liquid or highly concentrated objective markets. Finally, a time-to-event analysis shows that an ETF survives for longer if launched by fund families with larger size and higher fees, and whose initiation is not driven by excessive flows into the family. The second essay studies the effects of managerial turnover and competition on U.S. sub-advised mutual funds (MFs), using changes of subadvisor by 426 funds from January 1995 to December 2016. Sub-advised MFs make turnover decisions based on return-chasing behavior, but these changes neither improve subsequent fund returns and risk measures, nor increase future flows into the fund. Using sub-advisor turnover to change the degree of competition among sub-advisors does not affect the performance of incumbent sub-advisors. Overall, there is no evidence that sub-advisor selection decisions by fund families benefit sub-advised MF's performance. Outperforming sub-advisors with larger style drift are less likely to be hired, and the more a sub-advisor deviates from its investment mandate, the more likely it is to be fired. The third essay uses 2,290 European equity and fixed income ETFs and studies how the replication method affects the tracking efficiencies of ETFs, especially during market crises. Throughout the 20-year sample period 2001 to 2020, there is no persistent evidence suggesting superior tracking performance of synthetic ETFs. I identify 119 benchmarks followed by both physical and synthetic ETFs simultaneously and conduct a difference-in-difference analysis around Lehman Brothers bankruptcy, sovereign debt crisis and COVID-19 outbreak. Synthetic ETFs face steeper declines in tracking efficiencies following a sudden increase in counterparty risk, while they are shielded from liquidity shocks. There is a remarkable drop in tracking performance sensitivity to market distress post the global financial crisis.
We propose a flow-based explanation for two long-standing anomalies in empirical finance – Sell in May and the January effect. We find that mutual fund flows exhibit similar seasonal patterns as stock returns. After controlling for fund flows both calendar effects become insignificant. We provide new evidence on what drives this correlation. We show that return seasonality is due to unanticipated fund flow driven by uninformed (flow-motivated) retail investor trading. Active funds indicate flow-induced price pressure with a corresponding reversal of the effect, while passive funds suggest feedback trading instead. These seasonalities are remarkably pervasive, exhibiting little variation across different types of stocks, and are equally strong in periods of either high or low sentiment.
We investigate the new reality of exchange-traded funds (ETFs). We show that most ETFs are active investments in form (designed to generate alpha) or function (serve as building blocks of active portfolios). We define a new activeness index to capture these dimensions, finding that the cross-section of ETFs is now increasingly characterized by highly active investment vehicles. Active-in-form ETFs have positive flow-performance sensitivity, charge the highest fees among ETFs, and have high within-portfolio turnover. Active-in-function ETFs have more concentrated holdings, less within-portfolio turnover, but higher turnover in the secondary market. We show how more active ETFs are gaining market share over less active ETFs, leading to competitive fee pressure both within the ETF space and across the investment management industry. We suggest that the growing activeness of ETFs may assuage concerns about ETFs harming price discovery.
Passive exchange-traded funds (ETFs) are ideally suited to style-level feedback trading because of their high liquidity, ease of short selling, and pure play on investment styles. I find strong evidence of short-term style-momentum trading in ETFs. Institutional investors that use ETFs do not act as arbitrageurs by trading against style momentum. Institutions, especially less sophisticated ones, are themselves style-momentum traders. Moreover, recent style-level demand predicts style-level return reversals. These findings suggest that uninformed positive feedback trading by less sophisticated market participants can destabilize financial markets in the short run.
Passive index investing involves investing in a fund that replicates a market index. Enhanced indexation uses the returns of an index as a reference point and aims at outperforming this index. The motivation behind enhanced indexing is that the indices and portfolios available to academics and practitioners for asset pricing and benchmarking are generally inefficient and, thus, susceptible to enhancement. In this paper we propose a novel technique based on the concept of cumulative utility area ratios and the Analytic Hierarchy Process (AHP) to construct enhanced indices from the DJIA and S&P500. Four main conclusions are forthcoming. First, the technique, called the utility enhanced tracking technique (UETT), is computationally parsimonious and applicable for all return distributions. Second, if desired, cardinality constraints are simple and computationally parsimonious. Third, the technique requires only infrequent rebalancing, monthly at the most. Finally, the UETT portfolios generate consistently higher out-of-sample utility profiles and after-cost returns for the fully enhanced portfolios as well as for the enhanced portfolios adjusted for cardinality constraints. These results are robust to varying market conditions and a range of utility functions.
This thesis studies the behaviour of investors in open-end mutual funds and its implications to the liquidity risk. We seek to help the fund managers to avoid the "fund run" scenarios where they loss their clients in a sudden way. We begin our research by collecting a unique data set which records the micro-transactions of fund investors. It allows us to monitor investors’ behaviour at the individual level and to accomplish three research articles around this topic. In the first article, we develop a self-exciting counting process to model the stylized facts of fund flows. Therefrom, we highlight a novel risk linked to the fund liability which is different than the asset-related risk documented by the previous literature. We also identify a liquidity contagion among different investors in a same fund. In the next chapter, we study the dispersion in the investing horizons of individual fund clients. These horizons are strongly determined by investors’ characteristics and economic conditions. We show that the fund managers suffer a pre-mature redemption risk, i.e. clients shorten their investing horizons and redeem pre-maturely. Especially, we observe a heterogeneity among investors: long-term ones bring a higher pre-mature redemption risk. In the last chapter, we are interested in the rebalance behaviour. We find that numerous investors hold a multi-funds portfolio and rebalance it to keep the target asset allocation.
This paper studies the impact of major ECB monetary policy announcements on the portfolio allocation of euro area fund investors, using daily data between 2012 and mid-2016, a period that includes a variety of unconventional measures. We distinguish between active portfolio reallocation, driven by redemptions or injections of investors, and passive portfolio rebalancing, triggered by valuation effects related to changes in asset prices and exchange rates. We find that, for this class of fund investors, policy announcements work mainly through valuation effects (the signalling channel), rather than via active reallocation (the portfolio balance channel). Notably, since the autumn of 2014, monetary policy shocks triggered large asset price and exchange rate effects and prompted a passive shift of euro area investors into riskier assets, in particular European and Emerging Market equity funds and out of bond funds.
This paper examines the causal relationship between commodities funds and returns using monthly data for the period May 1997 to August 2015. Given the strong evidence of nonlinearity and structural breaks, we use wavelets to analyse causality between the two variables at both time and frequency domains. Wavelet coherency reveals that these two variables are primarily positively related in the short-run and over the period of 2008 to 2015. When we investigate the phase differences over this period, we observe that flows have predicted returns over the period of 2008 to 2012, with causality running in the other direction thereafter.
Passive index investing involves the low cost strategy of investing in a fund that replicates or, more often, tracks a market index. Enhanced indexation uses the returns of an index as a reference point and aims at outperforming this index. The intuition behind enhanced indexes is that the market is inefficient and that this inefficiency can be exploited to yield better returns. In this paper we propose a novel technique based on the concept of cumulative utility area ratios and the Analytic Hierarchy Process to construct enhanced indices. The technique is computationally parsimonious and applicable for all return distributions. Cardinality conditions are also simple and computationally parsimonious. We show that the procedure can generate consistently higher out-of-sample returns with infrequent rebalancing for the fully enhanced portfolio as well as the enhanced portfolios adjusted for cardinality constraints.
This paper shows that the positive relation between U.S. cross-border flows and past foreign performance is observed in many stock markets but is ambiguous in bond markets. However, bond flows positively respond to past foreign stock returns. I argue that the importance of past foreign stock returns in driving U.S. investors' equity and bond flows is more likely because those returns reflect foreign fundamentals that are valuable to both U.S. equity and bond investors. I also provide additional evidences, which lead to my conclusion that U.S. investors' international trading is not simply driven by return chasing, but rather, foreign fundamentals.
This paper shows that over time, expected market illiquidity positively affects ex ante stock excess return, suggesting that expected stock excess return partly represents an illiquidity premium. This complements the cross-sectional positive return–illiquidity relationship. Also, stock returns are negatively related over time to contemporaneous unexpected illiquidity. The illiquidity measure here is the average across stocks of the daily ratio of absolute stock return to dollar volume, which is easily obtained from daily stock data for long time series in most stock markets. Illiquidity affects more strongly small firm stocks, thus explaining time series variations in their premiums over time.
We derive a parsimonious rational model of active portfolio management that reproduces many regularities widely regarded as anomalous. Fund flows rationally respond to past performance in the model even though performance is not persistent and investments with active managers do not outperform passive benchmarks on average. The lack of persistence in returns does not imply that differential ability across managers is nonexistent or unrewarded or that gathering information about performance is socially wasteful. The model can quantitatively reproduce many salient features in the data. The flow-performance relationship is consistent with high average levels of skills and considerable heterogeneity across managers.
Since September, 1976, stocks newly included into the Standard and Poor's 500 Index have earned a significant positive abnormal return at the announcement of the inclusion. This return does not disappear for at least ten days after the inclusion. The returns are positively related to measures of buying by index funds, consistent with the hypothesis that demand curves for stocks slope down. The returns are not related to S & P's bond ratings, which is inconsistent with a plausible version of the hypothesis that inclusion is a certification of the quality of the stock.
We examine a sample of 294 mutual funds that are advertised in Barron's or Money magazine. The preadvertisement performance of these funds is significantly higher than that of the benchmarks. We test whether the sponsors select funds to signal continued superior performance or they use the past superior performance to attract more money into the funds. Our analysis shows that there is no superior performance in the postadvertisement period. Thus, the results do not support the signaling hypothesis. On the other hand, we find that the advertised funds attract significantly more money in comparison with a group of control funds.
Using a unique database of aggregate daily flows to equity mutual funds in Israel, we find strong support for the “temporary price pressure hypothesis” regarding mutual fund flows: Mutual fund flows create temporary price pressure that is subsequently corrected. We find that flows are positively autocorrelated, and are correlated with market returns (R2 of 20%). Our main finding is that approximately one-half of the price change is reversed within 10 trading days. This support for the “temporary price pressure hypothesis” complements microstructure research concerning price impact and price noise in stocks by indicating price noise at the aggregate market level.
In this paper I find that aggregate security returns are highly correlated with concurrent unexpected cash flows into mutual funds, but unrelated to concurrent expected flows. An unexpected inflow equal to 1% of total stock fund assets ($4.75 billion) corresponds to a 5.7% increase in the stock price index. Further, fund flows are correlated with the returns of the securities held by the funds, but not with the returns of other types of securities. I find evidence of a positive relation between flows and subsequent returns and evidence of a negative relation between returns and subsequent flows.
We study the relation between market returns and aggregate flow into U.S. equity funds, using daily flow data. The concurrent daily relation is positive. Our tests show that this concurrent relation reflects flow and institutional trading affecting returns. This daily relation is similar in magnitude to the price impact reported for an individual institution's trades in a stock. Aggregate flow also follows market returns with a one-day lag. The lagged response of flow suggests either a common response of both returns and flow to new information, or positive feedback trading.
We use mutual fund flows as a measure of individual investor sentiment for different stocks, and find that high sentiment predicts low future returns. Fund flows are dumb money–by reallocating across different mutual funds, retail investors reduce their wealth in the long run. This dumb money effect is related to the value effect: high sentiment stocks tend to be growth stocks. High sentiment also is associated with high corporate issuance, interpretable as companies increasing the supply of shares in response to investor demand.
This paper examines institutional price pressure in equity markets by studying mutual fund transactions caused by capital flows from 1980 to 2004. Funds experiencing large outflows tend to decrease existing positions, which creates price pressure in the securities held in common by distressed funds. Similarly, the tendency among funds experiencing large inflows to expand existing positions creates positive price pressure in overlapping holdings. Investors who trade against constrained mutual funds earn significant returns for providing liquidity. In addition, future flow-driven transactions are predictable, creating an incentive to front-run the anticipated forced trades by funds experiencing extreme capital flows.
This paper explores the relationship between the after-tax returns that taxable investors earn on equity mutual funds and the subsequent cash inflows to these funds. Previous studies have documented that funds with high pretax returns attract greater inflows. This paper presents evidence, based on a large sample of retail equity mutual funds over the period 1993–1999, that after-tax returns have more explanatory power than pretax returns in explaining inflows. In addition, funds with large overhangs of unrealized capital gains experience smaller inflows, all else equal, than funds without such unrealized gains. A large capital gain overhang discourages both gross fund inflows and gross outflows, but the inflow effect dominates the outflow effect.
We investigate a proxy for monthly shifts between bond funds and equity funds in the USA: aggregate net exchanges of equity funds. This measure (which is negatively related to changes in VIX) is positively contemporaneously correlated with aggregate stock market excess returns: One standard deviation of net exchanges is related to 1.95% of market excess return. Our main new finding is that 85% (all) of the contemporaneous relation is reversed within four (ten) months. The effect is stronger in smaller stocks and in growth stocks. These findings support the notion of “noise” in aggregate market prices induced by investor sentiment.
This paper studies the relation between individuals' mutual fund flows and fund characteristics, establishing three key results. First, consistent with tax motivations, individual investors are reluctant to sell mutual funds that have appreciated in value and are willing to sell losing funds. Second, individuals pay attention to investment costs as redemption decisions are sensitive to both expense ratios and loads. Third, individuals' fund-level inflows and outflows are sensitive to performance, but in different ways. Inflows are related only to "relative" performance, suggesting that new money chases the best performers in an objective. Outflows are related only to "absolute" fund performance, the relevant benchmark for taxes.
A previous study finds evidence to support selection ability among active fund investors for equity funds listed in 1982. Using a large sample of equity funds, I find evidence that funds that receive more money subsequently perform significantly better than those that lose money. This effect is short-lived and is largely but not completely explained by a strategy of betting on winners. In the aggregate, there is no significant evidence that funds that receive more money subsequently beat the market. However, it is possible to earn positive abnormal returns by using the cash flow information for small funds. Copyright The American Finance Association 1999.
This paper studies the flows of funds into and out of equity mutual funds. Consumers base their fund purchase decisions on prior performance information, but do so asymmetrically, investing disproportionately more in funds that performed very well the prior period. Search costs seem to be an important determinant of fund flows. High performance appears to be most salient for funds that exert higher marketing effort, as measured by higher fees. Flows are directly related to the size of the fund's complex as well as the current media attention received by the fund, which lower consumers' search costs. Copyright The American Finance Association 1998.
Does the "smart money" effect documented by Gruber (1996) and Zheng (1999) reflect fund selection ability of mutual fund investors? We examine the finding that investors are able to predict mutual fund performance and invest accordingly. We show that the smart money effect is explained by the stock return momentum phenomenon documented by Jegadeesh and Titman (1993) . Further evidence suggests investors do not select funds based on a momentum investing style, but rather simply chase funds that were recent winners. Our finding that a common factor in stock returns explains the smart money effect offers no affirmation of investor fund selection ability. Copyright 2004 by The American Finance Association.
Mutual funds represent one of the fastest growing type of financial intermediary in the American economy. The question remains as to why mutual funds and in particular actively managed mutual funds have grown so fast, when their performance on average has been inferior to that of index funds. One possible explanation of why investors buy actively managed open end funds lies in the fact that they are bought and sold at net asset value, and thus management ability may not be priced. If management ability exists and it is not included in the price of open end funds, then performance should be predictable. If performance is predictable and at least some investors are aware of this, then cash flows into and out of funds should be predictable by the very same metrics that predict performance. Finally, if predictors exist and at least some investors act on these predictors in investing in mutual funds, the return on new cash flows should be better than the average return for all investors in these funds. This article presents empirical evidence on all of these issues and shows that investors in actively managed mutual funds may have been more rational than we have assumed.
Attempts to identify price pressures caused by large transactions may be inconclusive if the transactions convey new information to the market. This problem is addressed in an examination of prices and volume surrounding changes in the composition of the S&P 500. Since these changes cause some investors to adjust their holdings of the affected securities and since it is unlikely that the changes convey information about the future prospects of these securities, they provide an excellent opportunity to study price pressures. The results are consistent with the price‐pressure hypothesis: immediately after an addition is announced, prices increase by more than 3 percent. This increase is nearly fully reversed after 2 weeks.
In the present paper we analyze the relationship between index funds and asset prices. In particular, our analysis of daily index fund flows indicates a strong contemporaneous correlation between fund inflows and S&P market returns. We also document a strong negative correlation between fund out-flows and S&P market returns with the exception of outflows from a fund with very high initial investment requirement. These effects may be interpreted in two ways. Either investor supply and demand affects S&P market prices, or investors condition their demand and supply on intra-day market fluctuations. To sort out these effects, we examine trailing investor reaction to market moves. Our results suggest the market reacts to daily demand. However, only negative reactions appear due to past returns. We investigate whether index investor demand shocks ("liquidity shocks") are permanent or temporary and provide evidence that supports the hypothesis that they are permanent. This result may help ex...
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