It’s the end of the Bull as we know it?

by | Jun 3, 2016 | All Articles, Technical Analysis, Education

An interesting chart of the S&P 500 is making a big buzz on social media. It captured my attention immediately because it led me, and perhaps other readers, to a bearish conclusion. And this is at a time when so many people are second or third-guessing when or if the S&P 500 might take a spill after a long 6-year rally. REM’s song sums up the zeitgeist around this chart fairly well:

Seriously, all joking aside, here is my version of the chart. It shows the 50-week moving average that is green, crossing below the 100-week moving average that is blue. Red vertical lines show exactly when this crossing happens. The case could be made that the relationship between the moving averages shows the market psychology and its trend (the longer-term consensus value versus the shorter-term consensus value).

 

Do you see the conclusion you could be drawing? In a word – “down.” But is this the whole picture? Is there more beneath the surface?

Let’s take a look back as far as we can go on the S&P 500, using Bloomberg data. Below is the chart, excluding the dates from the previous chart. So, here’s everything from the 1930 to the 1980s.

 

This moving average crossover happened 21 times between 1930 to today. What hit me first is this tends to happen after the S&P 500 has already been going down or sideways for a while. Afterall, a moving average is a lagging indicator telling you what has been happening. It’s true, there are times when the market did go much lower. However, I notice the market also made bottoms around this time as well. Hmmmm.

Now that we have some casual observations, let’s look at some numbers and see what else we can discover about this signal. The next chart is the average returns of all 21 times this crossover happened between 1930 up until today. It’s showing 100 weeks before and after the signal, with week 0 being when the signal happened.

Here’s what stands out to me initially. On average, the market has already been headed down for roughly 50-weeks leading into the signal. Also, on average, the market tends to begin bottoming at the time of the signal, and is impressively higher both 50-weeks and 100-weeks looking forward (basically 1-year and 2-years. There’s nothing magical about the numbers 50 and 100, by the way).

SP5001930-2016_50wkMA_cb_100wkMA_50-week_statsLet’s look at some of the other enlightening stats.

Here are the stats at 50-weeks after the signal. 65% of the time, the S&P 500 was higher with above average returns. I wouldn’t have suspected that from the first chart – remember 2001 and 2008 – ouch! Since the distribution of observations are skewed, the 80th and 20th percentiles present a similar concept of 2 standard deviations from the mean. So the low end was down -8.74% 1-year afterwards.

SP5001930-2016_50wkMA_cb_100wkMA_100-week_statsNext, let’s take a look at the same stats 100-weeks after the signal. The S&P 500 returns were positive the same percentage of the time, at 65% with mean and median returns over 16%. In fact, everything else looks similar, continuing the uptrend from the crossover, on average.

All of this is not what I’d expect from the initial chart only looking back to the mid-1990s. So, we’ve learned a lot of new and potentially useful info here.

The majority of the time, this signal isn’t really bearish. In fact, 65% of the time, the S&P 500 was up 1 and 2-years later. So be aware of the head-fake. But, it is worth noting that 35% of the time it was down and some of those were, in fact, big losers. Diligence seems warranted. But now, at least we have taken bias out and we can look at the stats for more informed decisions.

What could we do next to add more color to what we’re looking at? We could dig into those losers and see if  there’s something that’s different between today’s circumstances and April 2001 and July 2008. That’s certainly a sensible approach.

We should also look at several indexes, like the Dow Transports and the Dow Jones itself, historically as far back as we could go. We could then answer some additional questions. Do all indexes act the same after this crossover signal, or is it just the S&P 500 that behaves like this? I’d like to know that. If it’s broad-based, perhaps it could be applied to other securities, not just indexes.

For fun, I’ve posted the workbook here so you can download and examine it yourself. Perhaps you want to change the moving averages or explore other markets or securities.

I am going to really dig in and explore some of the above questions in a future blog. Stay tuned!

Reproduce My Charts

If you would like to reproduce the charts I used in this blog post, download the Optuma workbook and open it in your copy of Optuma.

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Carson Dahlberg, CMT

Carson Dahlberg, CMT

Author & Co-founder of Northington Dahlberg Research

Carson comes to Optuma bringing nearly 20 years of experience in the financial markets involved in technical and quantitative trading, research and education. Carson has worked for several notable firms: Morgan Stanley, Wachovia Securities, Wells Fargo, and Schaeffer’s Investment Research. In addition, he is the co-founder of Northington Dahlberg Research, a quantitative driven, volatility-based research firm, and was the Director of the CMTinstitute (an online program to assist financial professionals in the passing of the CMT examination process).

Carson is presently a Director at Large on the Board of the Market Technicians Association and serves the Market Technicians Association (MTA) in various capacities. He was the founder and first Chapter Chair of the Charlotte Chapter for the MTA. His involvement with being the Committee Chair for the Ethics Committee has led to an updated and globally relevant ethics offering for the designation. In the past, he has served on the Admissions Committee, was the Board Liaison for the Journal of Technical Analysis Committee, and was the Director of the CMTinstitute.

Carson received a degree in Chemistry from the University of Cincinnati and was awarded the Chartered Market Technician designation in January of 2008.

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