When I apply different trend systems to ETFs

In my portfolio management, I primarily want to identify trends and get positioned with that trend. As long as there is uncertainty, we’ll see trends. Investor sentiment and expectations underreact to information causing the price to adjust gradually and that’s what produces a trend. The trend following systems I wrote about in My Introduction to Trend Following are designed to buy an asset when its price trend goes up, and sell when its trend goes down, expecting price movements to continue.

We also see the overreaction of investor sentiment and their expectations. After price keeps rising, investors may become overly enthusiastic, which causes prices to overreact and move up to an extreme that matches their sentiment. We saw that the last part of 2017 and it continued in January. We say these markets have become “overbought” and mathematical indicators can signal a countertrend.

We also sometimes see investor sentiment and their expectations plunge as they panic when prices are falling. We say these markets have become “oversold” and mathematical indicators can signal a countertrend. Looking back over the past two months, we may have seen an overreaction on the upside, then an overreaction on the downside. I say that because the stock market very quickly dropped -10%, then recovered most of it a few weeks later.

Someone asked recently “Do you invest and trade in all ETFs and stocks using the same trend system?” The answer is “not necessarily.” As I described above, trend following and countertrend systems are very different. Trend following systems can be multiple time frames, but usually longer trends of at least several months to years. Countertrend moves are normally shorter term as a market may get overbought or oversold, but it doesn’t usually stay that way a long time. For example, the S&P 500 was overbought the last few months of 2017 and that was an anomaly. It was one of the most overbought periods we’ve seen in the stock indexes. So, it was no surprise to see a fast -10% decline.

My point is, different trend systems can be applied to markets. Both trend following and countertrend are trend systems, they just intend to capitalize on a different trend in behavior – overreaction or underreaction.

When I apply my countertrend systems to markets, a great illustration is the high dividend yield market. A great example is the Global X SuperDividend® ETF $SDIV which invests in 100 of the highest dividend yielding equity securities in the world.

Below is a price chart in blue and it’s dividend yield in orange over the past five years. As you can see, the price trend and dividend yield have an inverse correlation. As the price goes up, the dividend yield from that starting point goes down. That is, if we invest in it at higher prices, the dividend yield would have been lower. But, as the price goes down, the dividend yield from that starting point goes up. If we invest in it at lower prices, our future income from dividend yield is higher.


For example, I highlighted in green the price was at its low when the yield was also at its highest at 8%. Investors who bought at the lower price earn the higher yield going forward (assuming the stocks in the index continue paying their dividend yields). If we invested in it in 2014 the yield was 6%. High yielding stocks are not without risks. High yielding stocks are often speculative, high-risk investments. These companies can be paying out more than they can support and may reduce their dividends or stop paying dividends at any time, which could have a material adverse effect on the stock price of these companies and the ETFs performance. You can probably see how an ETF that includes 100 of these stocks may be more attractive to gain exposure rather than risking a few individually.

This is an example of when we may use a countertrend system. As I am more inclined to invest in positive trends, this is an example of a situation I may be more willing to buy low. But, I always focus on Total Return. All of my systems include Total Return data that includes the dividend yield, not just the price trend. So as I explain this, keep in mind we still apply my risk management and trend systems but we consider and account for the high yield that makes up its total return.

Below is a chart of the Global X SuperDividend® ETF $SDIV from the low point in 2016 (I highlighted in green above). I charted both the price trend by itself as well as the Total Return which includes dividends. Had someone invested in it at the low, we saw above their yield would be 8% and the impact is evident in the difference. With the dividend yield included, the return was 36% and 18% without it. In other words, the dividend was half the return over this period. The higher the dividend yield at the point of entry, the more it can have an impact on Total Return.

As a special note for our investment management clients who are invested in ASYMMETRY® Global Tactical. We do not reinvest dividends. Instead, we want the cash dividends to go into the cash portion of our portfolio. Since we usually have some positions that generate a monthly yield, it provides the cash balance we need to cover any slippage between trades, investment management costs, as well as provide cash for other investments. I mention this, because any position we hold like this with a high yield may not appear to have as large of a percentage gain since it only represents the price return, not the total return. That is simply because we are using the cash instead of reinvesting the dividends.


Mike Shell is the Founder and Chief Investment Officer of Shell Capital Management, LLC, and the portfolio manager of ASYMMETRY® Global Tactical.

You can follow ASYMMETRY® Observations by click on on “Get Updates by Email” on the top right or follow us on Twitter.

The observations shared in this material are for general information only and are not intended to provide specific advice or recommendations for any individual. Investing involves risk including the potential loss of principal an investor must be willing to bear. Past performance is no guarantee of future results.



Leave a Reply

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s

%d bloggers like this: