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Dual ETF Momentum April Update

Scott’s Investments provides a free “Dual ETF Momentum” spreadsheet, which was originally created in February 2013. The strategy was inspired by a paper written by Gary Antonacci and available on Optimal Momentum . Antonacci’s book , Dual Momentum Investing: An Innovative Strategy for Higher Returns with Lower Risk, also details Dual Momentum as a total portfolio strategy. My Dual ETF Momentum spreadsheet is available here and the objective is to track four pairs of ETFs and provide an “Invested” signal for the ETF in each pair with the highest relative momentum. Invested signals also require positive absolute momentum, hence the term “Dual Momentum.” Relative momentum is gauged by the 12-month total returns of each ETF. The 12-month total returns of each ETF is also compared to a short-term Treasury ETF (a “cash” filter) in the form of the iShares Barclays 1-3 Treasury Bond ETF (NYSEARCA: SHY ). In order to have an “Invested” signal, the ETF with the highest relative strength must also have 12-month total return greater than the 12-month total returns of SHY. This is the absolute momentum filter, which is detailed in depth by Antonacci, and has historically helped increase risk-adjusted returns. An “average” return signal for each ETF is also available on the spreadsheet. The concept is the same as the 12-month relative momentum. However, the “average” return signal uses the average of the past 3, 6, and 12-month (“3/6/12″) total returns for each ETF. The “invested” signal is based on the ETF with the highest relative momentum for the past 3, 6 and 12 months. The ETF with the highest average relative strength must also have an average 3/6/12 total returns greater than the 3/6/12 total returns of the cash ETF. Portfolio123 was used to test a similar strategy using the same portfolios and combined momentum score (“3/6/12″). The test results were posted in the 2013 Year in Review and the January 2015 Update . Below are the four portfolios along with current signals: Return Data Provided by Finviz Click to enlarge As an added bonus, the spreadsheet also has four additional sheets using a dual momentum strategy with broker specific commission-free ETFs for TD Ameritrade, Charles Schwab, Fidelity, and Vanguard. It is important to note that each broker may have additional trade restrictions and the terms of their commission-free ETFs could change in the future. Disclosure: None

Growth And Surging Popularity Of Unconstrained Bond Funds

By Hong Xie In the aftermath of the global financial crisis of 2007-2008, one noticeable trend in fixed income investment is the growth and popularity of unconstrained bond funds. They have generated strong interest in the investment industry due to the flexibility they offer in duration management and the broader investment universe. Because they are not managed against a specific benchmark, unconstrained bond funds may also pose challenges for investors in understanding and measuring their performance. The global financial crisis of 2007-2008 and the economic recession that followed prompted unprecedented quantitative easing monetary policies across many countries. Not only were short-term interest rates lowered to either zero or close to zero, but quantitative easing was also adopted in places such as the U.S., the U.K., the eurozone, and Japan to flatten the yield curve and keep long-term interest rates low. As the U.S. economy continues to recover and the Fed starts to increase interest rates, many investors have concerns about holding core fixed income products with high interest-rate risk in a rising-rate environment. It is this widespread market sentiment that has driven the surging popularity of unconstrained bond funds, which offer wide latitude to fund managers on duration management and investment selection. We use fund data from Morningstar to gauge the size and growth of unconstrained bond funds. In particular, we screen for funds categorized as “U.S. OE Nontraditional Bonds” by Morningstar, while excluding those with mandates in specific sectors or with duration constraints. As of November 2015, there were 122 open-ended mutual funds with total assets under management (AUM) of USD 140 billion in our data set, in comparison with 19 funds with AUM of USD 9 billion at the end of 2008 (see Exhibit 1). Even though the first fund started in 1969, it wasn’t until after the global financial crisis of 2007-2008 that unconstrained bond funds started gaining traction among investors. Exhibits 1 and 2 show the rapid growth of unconstrained bond funds since 2008 in terms of both AUM and number of funds. Disclosure: © S&P Dow Jones Indices LLC 2015. Indexology® is a trademark of S&P Dow Jones Indices LLC (SPDJI). S&P® is a trademark of Standard & Poor’s Financial Services LLC and Dow Jones® is a trademark of Dow Jones Trademark Holdings LLC, and those marks have been licensed to S&P DJI. This material is reproduced with the prior written consent of S&P DJI. For more information on S&P DJI and to see our full disclaimer, visit www.spdji.com/terms-of-use .

Base Hits Vs. Swinging For The Fences

I just got done reading Jeff Bezos’ annual letter to shareholders , which is outstanding as it always it. As I finished it, I spent a few minutes thinking about it. He references Amazon’s (NASDAQ: AMZN ) style of “portfolio management”. He doesn’t call it that, of course, but this passage got me thinking about it. Since I wrote a post earlier in the week about portfolio management, I thought using Bezos’ letter would allow me to expand on a few other random thoughts. But here is just one clip from many valuable nuggets that are in the letter: Bezos has always gone for the home run ball at Amazon, and it’s worked out tremendously for him and for shareholders. Would this type of swinging for the fences work in investing? I’ve always preferred trying to go for the easy bets in investing. Berkshire Hathaway ( BRK.A , BRK.B ) is an easy bet . The problem, though (or maybe it’s not a problem, but the reality), is that the easy bets rarely are the bets that become massive winners. Occasionally, they do – Peter Lynch talked about how Wal-Mart’s (NYSE: WMT ) business model was already very well known to investors in the mid 1980s, and it had already carved out significant advantages over the dominant incumbent, Sears (NASDAQ: SHLD ). You could have bought Wal-Mart years after it had already proven itself to be a dominant retailer, but also when it still had a bright future and long runway ahead of it. So sometimes, the obvious bets can be huge winners. But this is usually much easier in hindsight. After all, Buffett himself couldn’t quite pull the trigger on Wal-Mart in the mid 1980s – a decision he would regret for decades. At the annual meeting in 2004, he mentioned how, after nibbling at a few shares, he let it go after refusing to pay up: “We bought a little and it moved up a little and I thought maybe it will come back a bit. That thumbsucking has cost us in the current area of $10 billion.” So sometimes, obvious bets can be huge winners. But many times, the most prolific results in business come from bets that are far from sure. Jeff Bezos has always had a so-called moonshot type approach to capital allocation. The idea is simple: there will be many failures, but no single failure will put a dent in Amazon’s armor, and if one of the experiments works, it can return many, many multiples of the initial investment and become a meaningful needle-mover in terms of overall revenue. Amazon Web Services (AWS) was one such experiment that famously became a massive winner, set to do $10 billion of business this year, and getting to that level faster than Amazon itself did. The Fire phone was the opposite – it flopped. But the beauty of the failures at a firm like Amazon is that while they are maybe a little embarrassing at times, they are a mere blip on the radar. No one notices or cares about the Amazon phone. If AWS had failed in 2005, no one today would notice, remember, or care. So this type of low-probability, high-payoff approach to business has paid huge dividends for Amazon. I think many businesses exist because of the success of a moonshot idea. Mark Zuckerberg probably could not have comprehended what he was creating in his dorm room in the fall of 2004. Mohnish Pabrai has talked about how Bill Gates made a bet when he founded Microsoft (NASDAQ: MSFT ) that had basically no downside – something like $40,000 is the total amount of capital that ever went into the firm. “Moonshot” Strategy is Aided by Recurring Cash Flow One reason why I think this approach works for businesses, and not necessarily in portfolio management, is simply due to the risk/reward dynamic of these bets. I think a lot of these bets that Google GOOG , GOOGL ) and Amazon are making have very little downside relative to the overall enterprise. Most stocks that have 5-to-1 upside also have a significant amount of downside. I think lost dollars are usually much more difficult to replace in investing than they are in business, partially because businesses usually produce recurring cash flow. Portfolios have a finite amount of cash that needs to be allocated to investment ideas. Portfolios can produce profits from winning investments, and then these profits can get allocated to other investment ideas, but there is no recurring cash flow coming in (other than dividends). Employees, Ideas, and Human Capital Not only do businesses have recurring cash flow, they also have human capital, which can produce great ideas that can become massive winners. Like Zuckerberg in his dorm room – Facebook (NASDAQ: FB ) didn’t start because of huge amounts of capital, it started because of a really good idea and the successful deployment of human capital (talented, smart, motivated people working on that good idea). Eventually, the business required some actual capital, but only after the idea, combined with human capital had already catapulted the company into a valuation worth many millions of dollars. There was essentially no financial risk to starting Facebook. If it didn’t work, Zuckerberg and his friends would have done just fine – we would have most likely never have heard of them, but they’d all be doing fine. If AWS flopped, it’s likely we would have never noticed. There would be minor costs, and human capital would be redeployed elsewhere, but for the most part, Amazon would exist as it does today – dominating the online retail world. Google will still be making billions of dollars 10 years from now if it never make a dime from self-driving cars. So, I think this type of capital allocation approach works well with a corporate culture like Amazon’s. Bezos himself calls his company “inventive”. They like to experiment. They like to make a lot of bets. And they swing for the fences. But the cost of striking out on any of these bets is tiny. And you could argue that any human capital wasted on a bad idea wasn’t actually wasted. Amazon – like many people – probably learns a ton from failed bets. You could argue that these failures actually have a negative cost on balance – they do cost some capital, but this loss that shows up on the income statement (which, again, is very small) ends up creating value somewhere else down the line due to increased knowledge and productive redeployment of human capital. So, I think there are advantages to this type of “moonshot bet” approach that works well within the confines of a business like Amazon or Google, but might not work as well within the confines of an investment portfolio. This isn’t always the case – I recently watched The Big Short (great movie, but not as good as the book ), and the Cornwall Capital guys used these types of long-shot bets to great success. They used options (which inherently have this type of capped downside, unlimited upside risk/reward) and turned $30,000 into $80 million. But I think this would be considered an exception, not the rule. I think most investors have a tendency to arbitrarily tilt the odds of success (or the amount of the payoff) too much in their favor with these types of long-shot bets. They might think a situation has 6-to-1 upside potential, when it only has 2-to-1. Or they might think there is a 30% chance of success, when there is only a 5% chance. It’s a subjective exercise – this isn’t poker or blackjack, where you can pinpoint probabilities based on a finite set of outcomes. So, I think many investors would be better off not trying to go for the long-shots – which, in investing, unlike business, almost always carry real risk of capital destruction. Berkshire Hathaway manages a business using a completely opposite style of capital allocation. Instead of moonshots, it goes for the sure money, the easy bets. It’s not going to create a business from scratch that can go from $0 to $10 billion in 10 years. But nor does it make many mistakes. There is no right or wrong approach. As Bezos says, it just depends on the culture of the business and the personalities involved. I think certain businesses that possess large amounts of human capital, combined with the right culture, the right leadership, and a collective mindset for the long term can benefit from this type of moonshot approach. They can, and should, use this style of capital allocation. Ironically, I think investments in such well-managed, high-quality companies with great leadership and culture are often the sure bets that stock investors should be looking for. Either way, from a portfolio management perspective, I think it’s easier to look for the low-hanging fruit.