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Low Volatility Funds Outperform In 2016

In July and August of 2015, I wrote an expansive series of fourteen articles on the Low Volatility Anomaly, or why lower risk investments have outperformed higher risk investments over time. This Anomaly seems paradoxical; investors should be paid through higher returns for securities with a greater risk of loss. Across different markets, geographies, and time intervals, the series shows that higher beta investments have not delivered higher realized returns and offers suggestions backed by academic research to suggest why this might be the case. We are in another period where lower volatility stocks are dramatically outperforming higher beta stocks, and this article will demonstrate the relative performance of these strategies year-to-date. I will demonstrate the relative performance across capitalization sizes (large cap, mid-cap, and small cap equity) and other geographies (international developed and emerging markets). Readers may counter that, of course, lower risk stocks are outperforming in a down market, so I will show relative performance of the indices underpinning these strategies back to the March 2009 cyclical lows. If lower volatility strategies capture less upside in bull markets, then perhaps their value in corrections is overstated. Let’s look at the evidence. Year-to-Date Performance: Large-Cap Thus far in 2016, the two most popular low volatility exchange-traded funds, the iShares MSCI USA Minimum Volatility ETF (NYSEARCA: USMV ) and the S&P 500 Low Volatility Portfolio (NYSEARCA: SPLV ) are handily beating the S&P 500 (NYSEARCA: SPY ), the broad domestic equity market gauge. Through Friday’s close, the S&P 500 has generated a -8.46% total return while the most popular low volatility funds have lost just over three percent. Relative performance is graphed below: Click to enlarge Source: Bloomberg; Standard and Poor’s Year-to-Date Performance: Mid-Cap Mid-cap stocks have further underperformed large cap stocks thus far in 2016 with the SPDR S&P MidCap 400 ETF (NYSEARCA: MDY ) producing a -9.57% return. The low volatility subset of this index, replicated through the PowerShares S&P MidCap Low Volatility Portfolio (NYSEARCA: XMLV ) has also meaningfully outperformed in 2016, besting the mid-cap and large cap indices. For a historical examination of the risk-adjusted returns of this index, see my article on ” The Low Volatility Anomaly: Mid Caps “. Click to enlarge Source: Bloomberg; Standard and Poor’s Year-to-Date Performance: Small Cap Like both large and mid-cap stocks, the PowerShares S&P SmallCap Low Volatility Portfolio (NYSEARCA: XSLV ) has meaningfully outperformed the S&P 600 SmallCap Index ETF (NYSEARCA: IJR ). While the exchange-traded fund has a limited history (February 2013 inception date), the underlying index has data back for twenty years, demonstrating a return profile that would have bested the S&P 500 by nearly four percentage points per annum with lower variability of returns. This fund may deliver both the “size premia” and the “low volatility anomaly” in one vehicle, and has acquitted itself decently (543bp outperformance versus small caps and 307bp outperformance versus the S&P 500) in a rough market start to 2016. For a historical examination of the risk-adjusted returns of this index, see my article on ” The Low Volatility Anomaly: Small Caps “. Click to enlarge Source: Bloomberg; Standard and Poor’s Year-to-Date Performance: International Developed Negative equity market performance has obviously not been unique to the United States amidst a global sell-off. The PowerShares S&P International Developed Low Volatility Portfolio (NYSEARCA: IDLV ) has outperformed non-US developed markets, besting the Vanguard FTSE All-World ex-US ETF (NYSEARCA: VEU ) by 450bp in 2016. Click to enlarge Source: Bloomberg; Standard and Poor’s Year-to-Date Performance: Emerging Markets Pressured by the spillover from decelerating Chinese growth, commodity market sensitivity, and increased market and currency volatility, emerging markets have been a focal point for stress in 2016, but the PowerShares S&P Emerging Markets Low Volatility Portfolio (NYSEARCA: EELV ) has meaningfully outperformed the two largest emerging market exchange traded funds – the Vanguard FTSE Emerging Markets ETF (NYSEARCA: VWO ) and the iShares MSCI Emerging Markets ETF (NYSEARCA: EEM ). Click to enlarge Source: Bloomberg; Standard and Poor’s In past articles, I have often demonstrated the efficacy of Low Volatility strategies by showing the relative outperformance of the S&P 500 Low Volatility Index (NYSEARCA: SPLV ) versus the S&P 500 and S&P 500 High Beta Index (NYSEARCA: SPHB ). The Low Volatility bent produces both higher absolute returns and much higher risk-adjusted returns. Click to enlarge Readers might look at these cumulative total return graphs and believe they can time the points at which high beta stocks outperform. From the close of the week at the cyclical lows in March 2009 to Friday’s close, the Low Volatility Index has also outperformed on an absolute basis. Click to enlarge In a long bull market that saw 16%+ annualized returns, you have not conceded performance when including the recent correction. In addition to less variable returns over time, low volatility strategies also afford more downside protection – an important feature that has been valuable in early 2016. Disclaimer: My articles may contain statements and projections that are forward-looking in nature, and therefore inherently subject to numerous risks, uncertainties and assumptions. While my articles focus on generating long-term risk-adjusted returns, investment decisions necessarily involve the risk of loss of principal. Individual investor circumstances vary significantly, and information gleaned from my articles should be applied to your own unique investment situation, objectives, risk tolerance, and investment horizon. Disclosure: I am/we are long SPY, SPLV, USMV, VWO, IDLV, XSLV, IJR. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

How To Pick Value Stocks

I find it ironic that more research is being done today than at any point in time in the past, yet a lot of value investors are failing to beat the market. Ironically, the mountain of articles on popular investing websites just aren’t helping. Part of the problem might be due to the “more brains” problem Graham cited years ago. Since everybody on Wall Street is so smart, all those brains ultimately cancel each other out. This glut of brain power, investment research, and investors clamoring for bargains does not mean that you can’t beat the market. But, knowing how to pick value stocks is a key requirement, along with having a good strategy and being prepared to do things that most other investors aren’t. Where You Should Hunt When Picking Value Stocks One core piece of the puzzle is leveraging your biggest competitive advantage as a small investor: your size. Let me explain… Professional money managers manage billions of dollars each year. In fact, the entire mutual fund industry in the USD in 2012 amounted to $13 Trillion and the size of the average mutual fund was a staggering $1.72 Billion. Legal regulations make owning more than 10% of a single company, or having a single company make up more than 5% of assets, a real burden for a fund company. Given that managers want to keep positions below 5% of their fund, the pool of investment candidates open to money managers is tiny. These restrictions essentially limit a manager’s universe of stocks to firms that are $860 Million in market cap or larger. That means focusing on roughly 500-600 of the largest companies in the US. With that much money sloshing around the markets, small, medium, and large cap companies are, understandably, extremely picked-over. This suggests a powerful advantage that small investors can leverage: investing where the pros aren’t investing. That really comes down to investing in micro cap and nano cap companies. It’s in this universe, among the thousands of tiny publicly traded companies available, that a small investor can pick the most promising value stocks. What Value Stocks to Concentrate On 15 years of experience in investing has taught me a few very valuable lessons. The first is that, despite your research, you’re probably not as important to the end result as you’d like to think you are. Sure, you can conduct an analysis and your stock can go up just as you predicted, but it may not have advanced for the reasons you thought. Sometimes the stocks that you assume that will work out well… don’t. And, at other times, the stocks you thought were real dogs will advance in price. Another core insight I’ve had over the previous decade is that I (and likely you, as well) am not Warren Buffett . Small investors can’t bring the same amount of skill and experience to investing as he does, and blindly following how he invests today is what I call falling into the Warren Buffett trap . Luckily, a small investor doesn’t have to have Buffett’s investing prowess to know how to pick value stocks and succeed as an investor. Investing is a probabilistic exercise, and I’ve found leveraging a statistical investment strategy (i.e. “Mechanical” investing style), extremely rewarding. Leveraging them means being able to earn the same investment returns that drew you to value investing in the first place… without you having to be an investing guru. By simply buying a basket of stocks that are undervalued relative to some value metric, you can leverage those statistical returns to propel your portfolio to large profits. What Sorts of Strategies am I Talking About? The sorts of strategies that I’m talking about fall into the “classic value investing” or “deep value investing” categories. These are the value strategies that Benjamin Graham talked about years ago when he taught his students how to pick value stocks. These strategies have been extensively tested, and used successfully in practice for decades. Low PE – One of these strategies is the classic Low Price to Earnings strategy. This strategy has been employed successfully by contrarian managers such as David Dreman , whose funds returned 16-17% per year over decades. In general, as reported by Tweedy Browne , a Low PE strategy is good for an average annual return of 16%. Low PB – Low Price to Book value is another classic value metric that yields market beating results. Using the strategy investors should expect to bag a CAGR as high as 14.5%. That’s a fat 45% in excess of the market return over the course of your life. Low PC – One of the more recent classic value strategies, and focuses on finding stocks low relative to Cash Flow. This strategy performs a bit better, recording a CAGR of just over 18% . High Dividend Yield – Mario Levis at the University of Bath conducted a study called, “Stock Market Anomalies: A Reassessment Based on the UK Evidence.” He found that the highest dividend yielding stocks returned 19.3% on average. Not bad for a basket of cheap stocks! Net Nets – But the king of these strategies is Ben Graham’s famous net net stock strategy. This strategy has consistently beaten the market both in studies and in practice by roughly 15% per year. That amounts to a 25% CAGR, and you can achieve even higher returns with a basket of net nets by screening for other key characteristics . And, my own portfolio has done very well using this strategy. Of course, the catch is that while you can always find enough stocks to fill a portfolio using the first 4 strategies, during bull markets domestic net nets dry up, making it almost impossible to use the strategy. At least, that’s what popular websites will tell you — which tripped me up years ago. By expanding your universe of investment candidates to include friendly international markets you can fill your net net stock portfolio under all market conditions. How to Pick Value Stocks Once You’ve Nailed Down a Core Strategy This is where hunting for tiny stocks comes into play. When picking value stocks, you’re going to find your best opportunities within the universe of small companies. I’m going to come at this from the perspective of a net net stock investor, since this is where I’ve chosen to specialize. That being said, the process is the same for any statistical value strategy. As it turns out, not only do small stocks offer the best opportunities for value investors, but statistical portfolios of the smallest value stocks also offer the best portfolio returns. When it comes to net net stocks, Xiao & Arnold found that a portfolio of the smallest net nets returned significantly more than the largest net nets studied, 30.6% per year vs. 17.2% per year. That’s a staggering difference in return. The same trend is found among other sorts of classic value stocks. Tweedy, Browne found that the smallest 1/5th of Low PE stocks outperformed the largest, 19.1% to 13.1%. So, no matter what strategy you use, go small. Go tiny, in fact . This is where major investing websites really start to trip up investors. The focus on large investing sites is almost always on large stocks, and that causes small investors to give up a much more promising universe of investment opportunities in favor of trying to compete against the pros. Plus, you can only take advantage of a net net stock strategy if you’re buying tiny companies. Once I’ve narrowed down my list of possible investment candidates to the smallest, I like to look for additional metrics that are highly correlated to outperformance versus the benchmark. For net nets, one of those characteristics is a Debt to Equity figure below 20%. Companies with low Debt to Equity ratios drastically outperformed the benchmark in Tweedy, Browne’s study, What Has Worked In Investing , recording a CAGR of nearly 35% compared to their universe of net nets which returned 28.8%. That’s 6% per year of extra return! I also avoid firms with major Chinese operations, due to the flood of reverse merger scams , as well as resource exploration companies, pharmaceutical companies, real estate companies, and companies in regulated industries such as finance. None of these make for the highest quality net nets, and I’m after the highest possible returns. In the end, you have to stick to the most promising industries, and this usually means focusing on your domain of competence. How to Craft Your Portfolio If you do a good enough job using additional criteria to screen out the less promising candidates, building a portfolio really takes care of itself. At the end of the process you should be left with a very manageable number of firms. From there, spend time ranking the firms from most to least promising and then spend an equal dollar amount on the 20 most promising investments. That’s it. ….sort of. There are also nuances in portfolio construction and management that can really impact your returns, but that’s not the focus of this article. I’ll write that article at some point in the future. By now, you should have a great idea of how to pick value stocks for your own portfolio. Investing is really not as difficult as you think it is but, ironically, a lot of people try to make it more difficult than it needs to be. The hardest part is really sourcing the investment ideas and then narrowing down the pool of investment candidates you pick from. At Net Net Hunter, we start with over 450 statistical international net nets but then narrow the pool down to the 30 most promising, which gives you some idea of the amount of work to do if you want to buy the best investment opportunities. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. 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.

5 Wild Inverse ETFs Betting Against The Market

Inverse ETFs are all the rage so far in 2016. As the market retests the lows made in January, these instruments are making new yearly highs. Those that got in before the start of the year are seeing double-digit returns, with the market down over 10%. Inverse ETFs must be looked at as tools of protection, not investments. The leveraged ETFs are especially dangerous as they can go down just as fast as they go up. A common mistake that is made is when an investor is nervous and starts to panic. They enter an inverse ETF when the market is very weak, thinking they’ve done well after seeing one day with a nice percentage move. However, this is only to be followed by a week of pain because the market had a relief rally. This mistake is called chasing and is a strategy for future broke investors and traders. A better strategy when using ETFs is one that most people aren’t familiar or comfortable with. Rather, it’s one of a trader. If we are in a bear market, there will be furious rallies as there always is. News will hit and bottom pickers will get in at the same time that shorts will be covering, causing a bear market rally. When this process plays out inverse ETFs will provide a nice entry point to protect against your overall portfolio from further selling. When the relief rally is over and market comes back in, it is smart to take profits and wait for the next opportunity. There are many inverse ETFs to choose from, but it is important to pick the right ones for our strategy in order to get the most return. One of my strategies over the years has been to use filters to sort out which instruments are reacting on a daily basis. I look for high percentage and large up and down point moves. This is a game for those that like volatility and risk-adverse investors should shy away. Some of the inverse ETFs that have been popping up on my filters of late are listed below. These instruments should be very active going forward and should be utilized only by the most nimble investors. ProShares UltraShort Bloomberg Crude Oil (NYSEARCA: SCO ) will move two times the inverse to crude oil. If oil is down 5%, this instrument will be up 10%. This move would protect investors that were allocated heavy in oil stocks. In the chart below, we see Exxon Mobil (NYSE: XOM ) versus SCO over the last year, and how investors could protect against a position in Exxon. SCO was up 2% today with crude oil down over 1%. Direxion Daily FTSE China Bear 3X ETF (NYSEARCA: YANG ) is all about China. This ETF will move three times the inverse of the FTSE China 50 Index. The fund creates short exposure by using 80% of its assets to get short in futures and other Chinese instruments. China has been a real drag on global stock markets as issues of global growth are surfacing because the Chinese economy seems to be slowing. The chart below shows China internet giant Baidu (NASDAQ: BIDU ) over the last three months in comparison to YANG. The ETF was up 7% today in anticipation of a big down day in china on Monday, when traders return from the New Year holiday. Direxion Daily Gold Miners Bull 3X ETF (NYSEARCA: NUGT ) seeks to reflect three times the inverse of the performance of gold minor stocks in the NYSE Arca Gold Miners Index. Gold is shooting higher because of financial stress fears coming from the banks; this in turn is good for gold stocks. The minors essentially get paid more for every ounce of gold they mine, improving the bottom line. If fears about European banks persist; gold will continue to have a bid. With all the gold miners catching that bid today, NUGT was up 22% as of this writing. Direxion Daily Financial Bear 3X ETF (NYSEARCA: FAZ ) is an inverse financial ETF that will move three times the inverse of the performance of the Russell 1000 Financial Services Index. The combination of European banking woes and the potential of negative interest rates has lead to weakness in the sector. The chart below shows Goldman Sachs (NYSE: GS ) in comparison to FAZ over the last three months. FAZ was up 8% today as of this writing. Direxion Daily Emrg Mkts Bear 3X ETF (NYSEARCA: EDZ ) is an inverse emerging markets ETF that moves three times the inverse of the performance of the MSCI Emerging Markets Index. This fund will move higher as emerging stock markets struggle. These markets have been some of the hardest hit over the last year, and that is reflected in the surge of EDZ. The ETF was up 5% today as of this writing. In Summary Leveraged Inverse ETFs give investors options in protecting their core positions. Markets will become volatile when under selling pressure, and these ETFs will follow suit. The approach for this protection isn’t one of chasing, like one would chase a momentum stock, but rather buying large market rallies and selling the panic of market dips. Original Post