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The Riddle About Differing Fund Flows And Assets Under Management

By Detlef Glow Click to enlarge Looking at market statistics from different providers such as data vendors, associations, central banks, and others, one realizes that none of the providers state the same number for a fund’s flows or assets under management for a specific date. Even though this may sound a bit odd, it is normal and the nature of the beast. Since all data vendors, associations, and others have a different basis for the data they provide, flow numbers will be different from one provider to another. Data vendors calculate flows based on the funds in their database, while associations use the data on flows and assets under management they receive from their members. These data may include mandates and special-purpose vehicles such as pension funds, which are not mutual funds at all. In contrast, central banks use the holdings data from their associated banks to evaluate the holdings of mutual funds. Statistics calculated for the same topic and for the same market can vary widely, since the underlying data can be totally different. Good examples of the differences in databases for a market segment are the several reports available on the European exchange-traded fund (ETFs) market. While the Thomson Reuters Lipper report focuses only on ETFs, i.e., products that are funds and regulated as such, other reports focus on the whole market of exchange-traded products (ETPs), which means those reports also include structured notes such as exchange-traded commodities (ETCs). Another factor that always leads to differences in numbers is the currency in which the report is calculated, since some providers use euros, while others use the U.S. dollar for the denomination of fund flows and assets under management. But even if two providers of fund flows reports use the same data to calculate the flows for a given region, they may end up with totally different results. The employed methodology for the calculation of the flows might be different and would by definition lead to different results. In addition, all results are dependent on correct and timely data input from the fund promoters, since any inaccurate numbers in the database impact the quality of the statistics. Even though a data vendor might have quality checks in place for the incoming data, it may not find all the corrupted data. Even though quality checks do help to get the numbers right, some data may be missing and have to be estimated with an algorithm. This also explains why flows and assets under management data change over time, since it takes a while for all the fund promoters to deliver correct data. All in all, it can be said that the most recent fund flows and assets under management statistics published shortly after the end of month should be seen more as a guide to evaluate market trends than as a scientific result. Anybody who uses these kinds of statistics should make a decision about which statistics suit their needs best and then stay with those statistics. This does not mean that one should not question whether the displayed data are right, but one should realize that there always will be differences in flows data for any given month. The views expressed are the views of the author, not necessarily those of Thomson Reuters Lipper.

Is SPY’ing Worth It In The Long Run? Why ETFs Beat Mutual Funds

An old business school case study tells the story of how the benefits of the telephone over the telegraph were not appreciated at the time that the telephone was invented. It’s hard to believe, but Western Union (NYSE: WU ), the dominant U.S. telegraph company, thought the best use of this new invention would be to link telegraph offices and have operators read telegraphs to each other over the telephone. They turned down an offer to acquire the full patent from Alexander Graham Bell for $100,000, $2mm inflation adjusted today, putting them in the running for worst business decision of all time. Twenty-five years after the arrival of the SPDR S&P 500 Trust ETF (NYSEARCA: SPY ), the fund that got things rolling, I think many experts are showing a similar lack of foresight when they view the ETF as an innovation offering little benefit over traditional mutual funds. Investors do see their merits (at Elm Partners we use ETFs extensively), pushing assets invested in ETFs through the $3 trillion milestone, with SPY, the largest ETF, at close to $200bb of market cap. 1 Click to enlarge Often cited advantages of ETFs like SPY are that they can be easily traded continuously all day, options markets form around them, and they are easily marginable, allowing the active investor to raise cash when needed for other investments. At Elm Partners, we invest on an unleveraged basis, with a long-term horizon (see my recent Seeking Alpha note on expected long-term real equity returns ), and we believe that ETFs have at least three less publicized advantages for long-term investors like us: Tax efficiency, Lower cost, and Insulation of long-term holders from the trading costs induced by investor turnover. Jack Bogle and Larry Fink, the founders of the two biggest ETF sponsors, argue that many of the nearly 6,000 available ETFs do not have the desirable features we should expect from passive, index oriented products– such as low cost, diversification, transparency and simplicity — and I agree that it does make sense to avoid ETFs with labels such as “synthetic,” “actively managed,” “leveraged” and “inverse.” However, I disagree with Bogle when he states that ETFs are “just great big gambling, speculative instruments that have definitely de-stabilized the market.” 2 To the contrary, I believe the ETF structure is a source of financial stability, and is better for long-term investors, as compared to traditional mutual funds. Here’s why. Tax efficiency: First, taxes matter a lot to the long term return investors earn. ETFs like SPY are much more tax efficient than typical open ended mutual funds. 3 U.S. mutual fund tax accounting means that realized capital gains triggered by redemptions are allocated to all investors who hold the fund at year end, even though those remaining were not responsible for causing the capital gain. The tax basis of their holding will be increased, so there won’t be a double counting of capital gains, but the acceleration of their tax liability and the potential of being allocated higher-taxed short-term capital gains is unpleasant, and unfair. With ETFs, redemptions do not trigger sales that generate capital gains. Instead they cause the fund manager to deliver a basket of the underlying fund assets to the Authorized Participant who in turn gives shares of the ETF to the fund manager for redemption. The tax efficiency can be further enhanced by the fund manager delivering the lowest basis tax lots held inside the fund to the Authorized Participant. The ETF tax advantage, over a long term horizon, can be worth as much as an extra 0.5% of annual return on an after-tax basis for U.S. taxable investors. 4 Cost efficiency: Second, ETFs are typically cheaper to run than mutual funds, and this cost saving tends to get passed on to investors. ETFs usually have lower marketing, distribution, accounting and administration (including KYC and AML) expenses. This probably explains why Vanguard charges higher fees on its mutual funds than it does on its ETFs. 5 Investing in an ETF does involve paying the bid-offer spread, although for SPY that amounts to less than 0.005%, and for small trades, that can be more than offset by the low commissions on ETFs as compared to mutual fund trade charges (roughly $9 vs $30 respectively, at many brokers). There’s the risk that the price of the ETF declines in relation to NAV, but for long term investors this is less of an issue, and may even present an opportunity. Insulating long-term investors from transactions costs of subscriptions/redemptions : In a traditional mutual fund, the costs of having to buy or sell securities to accommodate incoming or departing shareholders are borne by the investors who remain in the fund, rather than by the investors who trigger those costs. In normal times, these costs can add up to as much as 0.10% of extra annual cost for long term mutual fund investors. 6 For the case of SPY, the cost difference would be less than 0.10% in normal times, but for funds investing in less liquid underlying assets– such as the iShares iBoxx $ High Yield Corporate Bond ETF (NYSEARCA: HYG ), the iShares Russell 2000 ETF (NYSEARCA: IWM ), the iShares U.S. Preferred Stock ETF (NYSEARCA: PFF ), and the iShares National AMT-Free Muni Bond ETF (NYSEARCA: MUB )– or with indexes that are quite dynamic– such as the iShares Select Dividend ETF (NYSEARCA: DVY ), the iShares MSCI Emerging Markets ETF (NYSEARCA: EEM ), the iShares U.S. Real Estate ETF (NYSEARCA: IYR ), the SPDR Dow Jones Industrial Average ETF (NYSEARCA: DIA )– ETFs can provide substantial cost savings. Particularly in times of crisis this flawed design feature is exploited by sophisticated investors who make a concerted rush for the exit, so that they can get out at the mid-market net asset value, NAV, price, leaving the remaining investors to bear the heavy cost of the liquidations the leavers instigated. Regulators have been expressing their concern about this a lot lately. By contrast, in an ETF competing brokers create and redeem ETF shares in exchange for the basket of individual securities that comprise the ETF. 7 No trades take place, and hence no costs are incurred inside the ETF as investors enter or exit. Existing ETF investors are thereby insulated from the costs of buying or selling securities to accommodate subscriptions and redemptions. Click to enlarge In turbulent times, this mechanism protects long-term investors while accommodating investors who want to exit at a fair, non-subsidized price. True, an ETF which is based on underlying assets that are not very liquid, such as high yield bonds, can give investors a false sense of liquidity. If many holders want to sell, not only will the price of the asset class fall dramatically, but the arbitrage mechanism will not stop the price of the ETF going to a substantial discount to NAV, and even to a discount to the bid side of the underlying assets. While this isn’t a pleasant scenario for the holder of that ETF, it is better than what happens with an open-ended mutual fund structure. With ETFs there is no incentive for investors to be first out the door, as each investor bears her own marginal cost of increasing or decreasing the fund size. Click to enlarge Furthermore, direct trades in the ETF between buyer and seller can bypass the basket entirely. This is referred to as the ETF ‘liquidity layer,’ which can lead to an ETF trading at a much tighter bid-offer spread than the underlying market, further reducing the total cost of investor turnover. So where does this leave us? Perhaps the most broadly voiced criticism of ETFs remains so far unanswered: that they tempt investors to become active, short term traders, which has been shown to cost investors a lot in the long term. Jack Bogle is joined by Warren Buffett, the Bank of England’s Andrew Haldane and many others on this one. Responding to their founder’s concerns, the researchers at Vanguard wrote a report, aptly titled, “ETFs: For the Better or the Bettor?” (July 2012). While we’d like to see all investors succeed (at Elm Partners we are not engaged in zero sum investment management), we agree with the Vanguard researchers’ conclusion that the temptation effect “is not a reason for long-term individual investors to avoid using appropriate ETF investments as part of a diversified investment portfolio.” So, whether your horizon is short term or long term, ETFs like SPY have significant benefits over their traditional mutual fund cousins. Notes: Globally, including ETPs, according to www.ETFGI.com . For simplicity in this note, we’ll use the term ETF to include ETPs in terms of overall marketplace description. Zweig, 2011. Just to be clear, I am not offering tax advice. Please consult your tax advisor. Based on a 24.4% effective marginal tax rate for long-term capital gains, a 3% dividend yield and long-term growth of 3.5% pa. This is generally the case for Vanguard’s U.S. listed Investor shares vs ETFs, and also the case for their Irish listed fund and ETF products. For example, for a fund with 50% annual unmatched investor turnover (which can include net subscriptions), and underlying assets with a 0.20% average bid-ask spread. The sponsor can also accept cash or partial baskets, and if the sponsor is not careful, some of the costs can slip into the ETF. Generally, we’ve found that for the biggest ETF sponsors, they are very careful. Also, we should mention that many of Vanguard’s U.S. listed ETFs are a hybrid structure, which has features of both a mutual fund and an ETF. A detailed treatment of this hybrid structure is beyond the scope of this short note. Disclosure: I am/we are long SPY, HYG, MUB, EEM, IWM. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article. Additional disclosure: This article should be construed as tax, or investment advice.

How Long Should I Give An Investment Plan?

Even the most brilliantly crafted investment plan has to be given time to work. The markets are inherently volatile but also inherently profitable. And when you start investing in the markets, you are very likely to see many highs and lows as the market gyrates before you see permanent gains. And since asset allocation involves crafting a portfolio out of many sectors which have low correlation, one component of your portfolio certainly will experience an early loss. Diversification means you will always have something to complain about. Perhaps the most important part of implementing an investment plan is the wisdom to know when one category doing poorly means you should do something and when it means nothing. We know from behavioral finance that many people give up on a brilliant investment philosophy too soon. They chase returns rather than rebalancing. And we know from studies on mutual fund flows that investors underperform the very mutual funds they are invested in because they buy funds after they have gone up and they sell funds after they have gone down. We don’t want to be the foolish investor who sells at the bottom only to reinvest at the top of the next bubble. Here is the primary question to help you discriminate between a brilliant investing strategy and a mistake: Do you have sufficient data to justify the long-term mean returns you want? It is a mistake to select an investment sector based on recent returns. In order to get meaningful statistics, you need to use the longest time horizon possible. Even 30 years is not long enough to judge which investment will have a higher mean return for the next 30 years. For example, we recently had a 30-year time period where long-term bond returns beat the return for stocks . Periodically, it is wise to reevaluate your investment selection to see if you made a mistake. You may have been enamored by the ability of a fund manager to select stocks . You may have thought a fund was worth higher fees and expenses. You may not even have understood what you were investing in. You may have invested in something that has a low or even negative mean return. Or you may have invested in an illiquid asset. If you do find a mistake, it is always a good time to sell a bad investment. There is no reason to “wait for a rebound,” because a better investment will on average rebound better for you. During the portfolio construction process, look for sectors with a high expected return, a low volatility, and a low correlation with other components of your portfolio. Then, when you experience the volatility, ask yourself if it behaved as you expected. Imagine that you have invested in a fund tracking the S&P 500 Index and it quickly experienced over two years a -19% annualized loss. Wondering if you made a mistake, you ask yourself, did your experience fit what your data expected? To answer this question, you look at the range of returns experienced by the S&P 500 Index since 1928 (all the data we have). The mean return (not including dividends) is about 7%. In the graph below, you can see this as the graph funnels around a 7% return the longer the number of years. The thick bars are 1-standard deviation from that mean; the thin bars are two standard deviations. Click to enlarge Returns within one or two standard deviations are commonplace returns. The data doesn’t just expect these, it predicts them. Within one standard deviation of the mean are approximately two out of every three returns experienced. Meanwhile, approximately 22 out of every 23 returns are within two standard deviations. As you can see, it depends on the number of years how wide the range of predicted annualized returns. Over a one-year time period, one standard deviation from the mean is from -13.00% to 28.07%. Meanwhile, over a thirty-year time period, one standard deviation from the mean is 5.45% to 8.53%. Two standard deviations for one-year time periods is -33.53% to 48.06%, and for thirty-year time periods, it is 3.91% to 10.08%. When you look at two-year time periods, the two-standard-deviation set of returns is from -21.81% to 34.56%. The return you experienced, -19%, falls in this time period, making it commonplace. Your data not only expected it, your data predicted it. Despite one-, two-, and three-year time periods all having moderate annualized losses within one-standard deviation, for the S&P 500 Index at a 7-year holding period, the bottom of the one-standard deviation range (2 out of every 3 returns experienced) rises above zero to a positive 0.02%. The bottom of the two-standard deviation range (22 out of every 23 returns) rises above zero after a 19-year period. Even good indexes which are part of a carefully crafted portfolio on the efficient frontier have a bad decade. Get rid of them at the low and you are liable to miss the recovery as the index returns revert to the mean and have some greater than average growth. And while individual stocks can go to zero, broad indexes cannot. To ensure this fact, your funds should be comprised of a large number of holdings. There is no such thing as over diversification. A large number of holdings helps ensure that the category is worth a place in your asset allocation for the long term even when returns are below average for a period of time. There are reasons to remove a sector from your asset allocation, but not simply for returns that are below average. The opposite is true, however. When a category experiences rapid appreciation, investors piling in may cause the price to rise faster than the expected earnings. A higher than normal forward P/E ratio can be an indicator of lower than expected future returns. Dynamic asset allocation would suggest trimming the allocation to sectors with a higher forward P/E ratio so that when the sector reverts to the mean, you have less experiencing the fall. Sometimes even a good investment can drop precipitously. Approximately 1 out of every 23 times the stock market will experience returns greater than two standard deviations from the mean. The markets are more abnormal than a normal Gaussian bell curve. This non-Gaussian mathematics is called Power Laws and forms the basis for fractals. Stock returns experience 4 or more standard deviations greater than normal statistics would predict. Gaussian statistics experience greater than 3 standard deviations approximately 0.2% of the time whereas the stock market experiences greater than 3 standard deviations approximately 0.56% of the time . When returns are outside of two standard deviations, the same analysis applies, but the hype from the financial news media is terrifying. The worst 12-month return for the S&P 500 was -70.13% (a 4-standard deviation loss) and ended June 30, 1932. The best 12-month return ended just 12 months later and was 146.28% (a 7-standard deviation gain). I take comfort in the fact that unusually large drops are often followed by unusually large gains. A similar pairing happened during the crash of 2008. The 12 months prior to 2/28/2009 experienced a -44.76% drop (a 3-standard deviation loss). The next 12 months appreciated 50.25% (a 3-standard deviation gain). For the most part, short-term returns should not ruin a brilliant long-term investment strategy. Normally, it is best to rebalance your portfolio selling what has gone up and buying what has gone down. If you can’t stomach rebalancing your portfolio, at least don’t lose heart and abandon the plan.