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How Do Fidelity’s New Bond Exchange-Traded Funds Stack Up?

A version of this article was published in the November 2014 issue of Morningstar ETFInvesto r. Download a complimentary copy of ETFInvestor here . On Oct. 9, Fidelity launched three active-bond exchange-traded funds: Fidelity Total Bond (NYSEARCA: FBND ) , Fidelity Corporate Bond (NYSEARCA: FCOR ) , and Fidelity Limited Term Bond (NYSEARCA: FLTB ) . The table below shows the lead managers of each fund as well as their mutual fund analogs. All six funds charge 0.45%. Fidelity follows PIMCO in launching active-bond ETFs, inviting comparison between the two. Are these new funds better than existing PIMCO ETFs? Or passive funds? Fidelity Versus PIMCO Fidelity is more known for its equity funds, but Morningstar analyst Sarah Bush writes that its bond team is “among the industry’s best.” PIMCO is synonymous with fixed income, and analyst Eric Jacobson writes that the firm “[boasts] world-class practitioners and intellects across the board.” So investors have two good options. One big difference between the firms is that PIMCO makes big macroeconomic calls, whereas Fidelity’s bond funds won’t. Most Fidelity bond funds keep their durations close to their benchmarks and focus on making security- and sector-level credit bets. As a consequence, some of Fidelity’s bond funds failed to sidestep the subprime crisis and the financial crisis and suffered sharp losses relative to their benchmarks. PIMCO’s funds, however, sailed through relatively unscathed, having avoided subprime exposure. On the other hand, PIMCO suffered sharp losses in 2011 when it incorrectly bet against Treasuries; Fidelity’s bond funds made no such dramatic calls. Historically, PIMCO’s extensive use of factor timing meant that its fund’s patterns of excess returns relative to their benchmarks were less predictable than Fidelity’s bond funds, which tend to do well when credit does well. Fidelity Total Bond Ford O’Neil is lead manager of both FBND and its mutual fund counterpart, Fidelity Total Bond (MUTF: FTBFX ) . Naturally, the ETF itself can’t be assessed with confidence, but we can make reasonable inferences about its prospective behavior by looking at the mutual fund version of the strategy. O’Neil has spent almost 10 years running the mutual fund, so we have a lot of data to work with. Here’s how Bush describes Fidelity Total Bond’s process: This wide-ranging fund has a variety of tools at its disposal. As at other Fidelity bond funds, duration (a measure of interest-rate sensitivity) is kept close to that of the fund’s bogy, the Barclays U.S. Aggregate Bond Index. Instead, manager O’Neil seeks to beat this benchmark over a three-year period by identifying relatively underpriced sectors of the market and segments of the yield curve, and through individual security selection. This is primarily an investment-grade portfolio–think high-quality corporate bonds, agency mortgages, and Treasuries–livened up with a mix of junk bonds, floating-rate bank loans, and developed- and emerging-markets debt. The fund gets its bank-loan and mortgage exposure from internally run Fidelity “central” funds run by other managers; bank loans are relatively illiquid, so the central-fund approach helps control cash flows, while O’Neil argues that there are significant advantages of scale in the mortgage portfolios. Since O’Neil took over, the fund beat its benchmark by 0.48% annualized as of Sept. 30, 2014. Of course, you can’t own the index. When compared against Vanguard Total Bond Market Index (MUTF: VBMFX ) , O’Neil looks a bit better, extending his edge to 0.61% annualized. However, we care about returns in excess of risk taken. The next chart shows Fidelity Total Bond’s cumulative wealth ratio versus Vanguard Total Bond Market Index. When the line slopes up, Fidelity’s fund is outperforming the Vanguard fund; when it slopes down, it’s underperforming. Total Bond did outperform over O’Neil’s tenure, but at the cost of a nasty drawdown that showed up during the financial crisis. We can get a fuller picture of O’Neil’s record by examining his tenure at Fidelity Intermediate Bond (MUTF: FTHRX ) , which covered July 13, 1998, to Oct. 29, 2013. It is the oldest and longest U.S. bond fund track record of his that we have. The second chart shows cumulative wealth of the fund against its benchmark, the Barclays Intermediate U.S. Government/Credit Index. We see benchmark-matching performance punctuated by a nasty drawdown during the financial crisis. What accounted for these drawdowns? First, O’Neil kept a slug of his fund in an internally managed ultrashort bond portfolio that had substantial exposure to subprime mortgages, which led to the fund’s lagging in late 2007. Second, the fund also had a junk-bond sleeve going into the crisis, but the index excludes them. Despite O’Neil’s mixed record versus his benchmarks, Fidelity Total Bond outpaced most of his category peers, landing in the top 22% for the 10 years ended Sept. 30. The Fidelity Total Bond mutual fund has a Morningstar Analyst Rating of Gold, which indicates Morningstar believes the fund will beat its category peers on a risk-adjusted basis over a full market cycle. There is only one other actively managed ETF of note benchmarked against the Aggregate Index: PIMCO Total Return Active (NYSEARCA: BOND ) , which serves as my default broad bond exposure. The only sensible way to assess investments is through the lens of opportunity cost. Am I giving up space that could be devoted to a better fund if I stick with BOND? I’m about as confident as can be that BOND can beat its benchmark over a full interest-rate or credit cycle, without taking on much more risk. The next chart shows PIMCO Total Return’s cumulative wealth ratio versus the benchmark juxtaposed with Fidelity Total Bond’s cumulative wealth ratio. The different performance patterns reveal the distinct processes driving each fund. PIMCO Total Return is willing to make big macro calls–market-time, in other words–hence its sidestepping much of the carnage of the financial crisis, riding the mortgage-backed securities wave, then getting clobbered in 2011 on its big short Treasury bet. Fidelity Total Bond mostly makes security- and sector-level calls without varying its duration or taking too much risk off the table. The result is the fund that took a beating during the crisis but has steadily earned excess returns as credit exposure has done well. Fidelity Corporate Bond Michael Plage and David Prothro comanage this fund. Although Plage is lead manager of FCOR, Prothro is lead of the mutual fund Fidelity Corporate Bond (MUTF: FCBFX ) . Neither Plage nor Prothro have O’Neil’s long track record. Plage joined Fidelity in 2005 as a fixed-income trader before switching to a portfolio-management role in 2010. Prothro has been with Fidelity as a fixed-income analyst since 1991, but his oldest pure U.S. bond mandate also begins in 2010. Plage and Prothro have done very well with Fidelity Corporate Bond. They’ve beaten their benchmark, the Barclays U.S. Credit Index, by more than 1%. So far it seems as if Plage and Prothro have what it takes. But we haven’t gone through a full credit cycle, so I’m not willing to assign a high degree of confidence that their fund will outperform. There is no other actively managed bond ETF also benchmarked to a similar index or in the corporate-bond category. Fidelity Limited Term Bond FLTB, led by Robert Galusza, begs natural comparisons with the mutual fund Fidelity Limited Term Bond (MUTF: FJRLX ) , also managed by Galusza. The mutual fund’s track record is utterly misleading. A closer look reveals that Fidelity Limited Term Bond until very recently was the Fidelity Advisor Intermediate Bond Fund, which was benchmarked to the Barclays U.S. Intermediate Government/Credit Bond Index. Its lead manager was also O’Neil, who began managing the fund the same day he took over Fidelity Total Bond and ended his tenure on Oct. 29, 2013. Now we have another angle to assess Fidelity Total Bond. Unfortunately, during O’Neil’s tenure, Fidelity Advisor Intermediate Bond underperformed its benchmark with much more volatility. A more relevant mutual fund equivalent for Fidelity Limited Term Bond is Fidelity Short-Term Bond (MUTF: FSBFX ) , which Galusza joined on July 12, 2007. However, Andrew Dudley managed the fund until Feb. 21, 2008. In order to give Galusza the benefit the doubt, I’ll assess his performance the month after Dudley left. The chart shows how he did against the fund’s benchmark, the Barclays U.S. 1-3 Year Government/Credit Bond Index. Like Fidelity Total Bond, Fidelity Short-Term Bond took a big hit during the financial crisis due to its subprime mortgage exposure. Of all three funds, this one is the least appealing from a historical risk/return perspective. It’s also going up against extremely stiff competition in the form of high-yield, low early withdrawal penalty five-year bank CDs that offer 2% yields as of this writing. No ETF offers anywhere near as favorable a risk/reward trade-off. I’ve been consistent in pointing out that low-duration funds are a bad deal, including the two other active ETFs benchmarked to the Barclays U.S. 1-3 Year Government/Credit Bond Index: AdvisorShares Newfleet Multi-Sector Income (NYSEARCA: MINC ) and PIMCO Low Duration Active (NYSEARCA: LDUR ) .

Adaptive Asset Allocation: Which Is Better – Quarterly, Monthly, Or Weekly Trading?

Summary The performance of adaptive asset allocation is sensitive to the look back period, as well as to the frequency of market monitoring. The best performance is obtained by monthly monitoring, which significantly outperforms quarterly or weekly monitoring. For the SPY+TLT pair over the 2004-2014 time interval, the highest CAGRs are as follows: 14.70% for monthly monitoring, 12.93% for quarterly monitoring, and 11.74% for weekly monitoring. The best look back periods are 2 to 7 months, 10 to 20 weeks, and 1 quarter. The relative performance of the adaptive allocation strategy is consistent for ETFs and related mutual funds. We obtained similar effects on (SPY, TLT), (VTI, AGG), (FSTMX, FTBFX), and (VTSMX, VBMFX). In a couple of recent articles , we demonstrated that a very simple and well-diversified portfolio may be made up of two instruments – one representing the total stock market, and the other representing the total bond market. These portfolios are quite robust, and achieve decent returns using simple strategies such as rebalancing and momentum-based adaptive allocation. At the suggestion of some readers, we investigate the sensitivity of the adaptive allocation strategy to the frequency of market monitoring and the duration of the look back period. As in our previous articles, we considered the following four portfolios: one built with the SPDR S&P 500 Trust ETF ( SPY) and the iShares 20+ Year Treasury Bond ETF (NYSEARCA: TLT ) , the second with iShares and Vanguard ETFs, the third with Vanguard mutual funds, and the fourth with Fidelity mutual funds. ETFs portfolio: iShares 20+ Year Treasury Bond ETF and SPDR S&P 500 Trust ETF. ETFs portfolio: iShares Core US Aggregate Bond Market ETF (NYSEARCA: AGG ) and Vanguard Total Stock Market ETF (NYSEARCA: VTI ). Mutual funds portfolio: Vanguard Total Bond Market Index Fund (MUTF: VBMFX ) and Vanguard Total Stock Market Index Fund (MUTF: VTSMX ). Mutual funds portfolio: Fidelity Total Bond Market Index Fund (MUTF: FTBFX ) and Fidelity Spartan Total Stock Market Index Fund (MUTF: FSTMX ). For purposes of comparison, we simulate these portfolios from December 2003 to December 2014, a total of eleven years. The time period of the study was selected based on the availability of historical data of the investment instruments; AGG was created in September 2003. The data for the study were downloaded from Yahoo Finance, using the Historical Prices menu for the eight tickers: SPY, TLT, AGG, VTI, VBMFX, VTSTX, FTBFX, FSTMX. We use the weekly and monthly price data from September 2003 to December 2014, adjusted for stock splits and dividend payments. The article has two parts. In the first part, we discuss the effect of the frequency of market monitoring. The second part presents the effect of varying the look back period. Part I: Quarterly, Monthly, and Weekly Market Monitoring The first study was done on the SPY+TLT. We compare the results obtained by monitoring the market quarterly, monthly, or weekly in the following manner. Quarterly monitoring is done at market closing on the last trading day of each quarter. Monthly monitoring is done at market closing on the last trading day of each month. Weekly monitoring is done at market closing on the last trading day of each week. The portfolio is at all times invested 100% in either SPY or TLT. All the funds are invested in the instrument with the highest return over the current look back period. The following look back periods were utilized in our simulations: 1 to 4 quarters for quarterly monitoring; 2 to 20 months for monthly monitoring; 5 to 50 weeks for weekly monitoring. The data below show the best investment results over 11 years, from January 2004 to December 2014. The first line is for quarterly monitoring with a 1-quarter look back period; the second is for monthly monitoring with a 3-month look back period; the third for weekly monitoring with a 13-week look back period. It is apparent that monthly monitoring delivers significantly better results than weekly or quarterly monitoring. Table 1. SPY+TLT quarterly, monthly, and weekly monitoring of portfolios January 2004-December 2014 Total Return% CAGR% Max DD% Number of trades Quarterly 281.1 12.93 -19.59 22 Monthly 347.0 14.70 -17.13 29 Weekly 141.1 11,74 -17.37 60 Part II: The Effect of the Look Back Period The effect of the look back period is presented separately for quarterly, monthly, and weekly monitoring. For quarterly monitoring , the look back period was varied from 1 quarter to 4 quarters. The results obtained for the SPY+TLT portfolio are shown in Table 2. It is apparent that a look back of one quarter is significantly better than any other period. Table 2. SPY+TLT quarterly, look back periods from 1 to 4 quarters January 2004-December 2014 Look back [quarters] Total Return% CAGR% Max DD% Number of trades 1 281.1 12.93 -19.59 22 2 77.2 5.20 -29.80 17 3 77.6 5.21 -31.54 14 4 56.4 4.15 -36.75 12 For monthly monitoring , the look back period was varied from 2 months to 20 months. The first two figures show the scatter of the compound annual growth rate (CAGR). A few observations can be made from analyzing these results: The SPY+TLT portfolio is the most sensitive to a change in the look back period. A look back period between 2 and 4 delivers the highest returns. VTI+AGG, as well as the mutual fund portfolios are little sensitive to changes in the look back period. Still, a look back period in the 2-6 month range delivers higher returns. (click to enlarge) Figure 1. CAGR for monthly monitoring with look back periods from 2 to 20 months. Source: This chart is based on Excel calculations using the adjusted monthly closing share prices of securities. (click to enlarge) Figure 2. CAGR for monthly monitoring with look back periods from 2 to 20 months. Source: This chart is based on Excel calculations using the adjusted monthly closing share prices of securities. (click to enlarge) Figure 3. Maximum drawdown (DD) for monthly monitoring with look back periods from 2 to 20 months. Source: This chart is based on Excel calculations using the adjusted monthly closing share prices of securities. (click to enlarge) Figure 4. Maximum drawdown for monthly monitoring with look back periods from 2 to 20 months. Source: This chart is based on Excel calculations using the adjusted monthly closing share prices of securities. For weekly monitoring , the look back period was varied from 5 weeks to 50 weeks. The first two figures show the scatter of the compound annual growth rate . A few observations can be made from analyzing these results: The SPY+TLT portfolio is the most sensitive to a change in the look back period. A look back period between 10 and 21 weeks delivers the highest returns. VTI+AGG, as well as the mutual fund portfolios are not very sensitive to changes in the look back period. (click to enlarge) Figure 5. CAGR for weekly monitoring with look back periods from 5 to 50 weeks. Source: This chart is based on Excel calculations using the adjusted weekly closing share prices of securities. (click to enlarge) Figure 6. CAGR for weekly monitoring with look back periods from 5 to 50 weeks. Source: This chart is based on Excel calculations using the adjusted weekly closing share prices of securities. (click to enlarge) Figure 7. Maximum drawdown for weekly monitoring with look back periods from 5 to 50 weeks. Source: This chart is based on Excel calculations using the adjusted weekly closing share prices of securities. (click to enlarge) Figure 8. Maximum drawdown for weekly monitoring with look back periods from 5 to 50 weeks. Source: This chart is based on Excel calculations using the adjusted weekly closing share prices of securities. Conclusions The performance of adaptive asset allocation is sensitive to the look back period, as well as to the frequency of market monitoring. The best performance is obtained by monthly monitoring, which significantly outperforms quarterly or weekly monitoring. The optimal look back period varies with the type of assets that make up the portfolio. For the assets considered in this study, the best look back periods are 2 to 7 months, 10 to 20 weeks, and 1 quarter. The author prefers a look back period of 3 months in conjunction with monthly monitoring.