Trend Following Doesn’t Always Mean Crowd Following

“Trading has taught me not to take the conventional wisdom for granted. What money I made in trading is testimony to the fact that the majority is wrong a lot of the time. The vast majority is wrong even more of the time. I’ve learned that markets, which are often just mad crowds, are often irrational; when emotionally overwrought, they’re almost always wrong.”

Richard Dennis  (Famous Trend Follower)

 

Richard J. Dennis, a commodities speculator once known as the “Prince of the Pit,”. In the early 1970s, he borrowed $1,600 and reportedly made $200 million in about ten years.

 

 

Extreme Fear is Now the Return Driver

A professional investment adviser recently passed along some materials and asked for my opinion about a “tactical model” offered by another money manager. I was surprised that they expect great results from their model when it said something like:

“As investors become more risk-averse, the model becomes more defensive and vice versa.”

Let’s consider that for a moment.

As investors become more risk-averse, the model becomes more defensive. When investors become more risk-seeking, the model becomes more offensive.

That surprises me because investor sentiment is usually used as a countertrend indicator, not as a trend following indicator. Investors often get overly optimistic after prices have trended up and investors get more afraid after prices have trended down.

They went on to say they also use economic indicators as their signal to increase and decrease exposure. I am always concerned when I hear of someone using anything other that the direction of the price trend itself. Other indicators like credit spreads or perceived risk premiums are derivatives of price and it’s the directional movement of the price trend itself we really want. If the price gains 5%, we make money. If the price loses 5%, we lose money. If the price does nothing and the ratio or spread you rely on goes up or down, it did nothing for you. If you use something that is a derivative of the price itself, you have the potential to stray far from the price trend itself.

All blow-ups in history started that way.

Investor sentiment is usually wrong. It isn’t something I’d want to follow. If anything, I’d want to do the opposite of investor sentiment when it reaches an extreme. I occasionally point out my observations when investor sentiment reaches an extreme. When I do, I’ll highlight a simple sentiment gauge that is publicly available on the CNN Money website. Now, that gauge doesn’t actually have a signal that says when it has reached an extreme. It’s just a gauge to swings from one extreme to the other and spends a lot of time in between. It isn’t what is telling me to share my observations – it’s not my signal. I have other systems for actually doing that, but my systems often coincide with extreme readings in the Fear and Greed Index.

investor sentiment fear driving stocks

source: Fear and Greed Index

 

As of Friday, fear is driving stocks. A few weeks ago I pointed out “It’s official: extreme greed is driving the stock market”. Prices had been rising and investors became more and more optimistic. Stocks have now fallen about 3 – 4% and investor sentiment quickly shifted from “Extreme Greed” a few weeks ago to “Extreme Fear” now. The stock market had gone months without a 1% move, so a -2% down day got their attention.

stock market decline investor fear

source: http://www.stockcharts.com

Investor sentiment isn’t necessarily and indicator I use to increase and decrease exposure, but instead one that is useful to help investors understand problems in their behavior. If you find yourself getting more aggressive after prices have already made a big move, or scared after price declines, you may find it useful to monitor the Fear and Greed Index to help adjust your behavior. That money manager may be one of them.

If anything, you may find increasing and decreasing exposure to risk is best done opposite of sentiment extremes, not along with it. Investor sentiment is usually wrong, not right. Extreme fear occurs at lows, extreme greed at highs.

 

A VIX Pop Then Back to Zzzzzzzz? We’ll see

The chart and table below from Russell Rhoads at VIX Views shows an interesting visual of yesterdays increase in the VIX spot index and its futures. The chart is the VIX term structure for the VIX futures. The blue line is yesterdays term structure and the red line the day before. A term structure chart shows how the futures are priced over time. Notice the bottom goes from from left to right August 2014 to April 2015. That corresponds to the table below it, which shows the VIX (spot index) and then each months futures starting with August 2014 (the front month).

VIX Views VIX-Curve

source: http://www.cboeoptionshub.com/wp-content/uploads/2014/07/VIX-Curve.jpg

A Few Observations

The term structure shows how the curve shifted up yesterday. That is, the VIX futures increased August 2014 through April 2015 expiration dates. Notice the VIX spot index gained 27% while the August month gained 12%. When we speak of the VIX, we speak of the CBOE Volatility Index. We can’t actually trade the index, so exposure is gained through futures and options. This is a good time to point out how much the VIX spot index gained and how much less the futures moved. In the table below the chart you can see the % gain. The front month (August) gained 12.18%. The nearer months gained more than the expiration months farther out. I think Rhoads correctly points out that the options market seems to be expecting a quick pop in the VIX and then back to Zzzz. I say that because the August front month contacts gained 12% the months farther out in time had a much smaller increase in expected volatility. It’s another example of complacency. Investors aren’t so concerned about risk enough to pay up to insure it beyond this month. In this low vol environment over the pas year, increases in volatility have been quick and sharp, then revert back to lower levels. So the market seems to be following the trend that way. That works, until it doesn’t.

Let’s see how it plays out this time.

 

Global Market Returns Year to Date 2014

After yesterday, stock indexes haven’t made much progress in the first seven months of 2014. At the beginning of the year everyone seemed to talk about how much the Dow Jones Industrial Average had gone up, almost as if they could buy it after the fact and get what it did. This year the Dow (DIA in the chart) has gained 1.06%. Interestingly, small company stocks as measured by the Russell 2000 Index (IWM) are down 3%. In Stock Market Peak? A Tale of Two Markets back in May I pointed out the divergence between large company stocks as measured by the Dow Jones Industrial Average and small company stocks. At this late stage of a bull market, the recent negative trend of small company stocks may be an early warning a major peak for stocks could be near. Many are probably surprised that bonds have gained the most so far this year.

global market returns 2014

source: http://www.stockcharts.com

In fact, U.S. Long Term Treasuries (TLT) have gained so much more than other global markets that I show it as a separate chart below. Here I drew the same chat as above, but added U.S. Long Term Treasuries (TLT).

 

Long Term Treasuries TLT

 

 

Asymmetric VIX

In The VIX is Asymmetric, making its derivatives an interesting hedge I explained how the CBOE Volatility Index (VIX) tends to react with sharper and with greater magnitude than stock indexes. There is an asymmetric relationship between stock index returns and the VIX. Below includes yesterdays action when the S&P 500 stock index was down 2% and the CBOE Volatility Index (VIX) spot gained 27%. The chart is a good visual of how, when the stock index falls, implied volatility spikes up.

 

asymmetric vix

source: http://www.stockcharts.com

I have been sharing some observations about the VIX recently because it had gotten do a low level not seen in many years. It’s an indication that investors have become complacent about risk. When a trend gets to an extreme, it’s interesting to observe how it all plays out.

 

 

VIX Shows Volatility Still Low, But Trending

It seemed that many of the commentators who write and talk about the VIX started talking as though it would stay down a long time. Of course, that’s as much a signal as anything that the trend could instead change.

Below is a chart of the CBOE Volatility Index (VIX) since I observed “VIX Back to Low” on July 3. It says to me that volatility, is, well, volatile. It trended up as much as 34% and then retraced much of that.

cboe volatility index vix pop

source: http://www.stockcharts.com

CBOE VOLATILTY INDEX VIX

Looking back the past several months, we can see since the beginning of July it has started to make higher highs and higher lows. Volatility (and therefore some options premiums) are still generally cheap by this measure, but from the eyes of a trend follower I wonder if this may be the very early stage of higher vol. We’ll see…

Either way, whether it stays low or trends back up, the monthly chart below shows the implied volatility in options is “cheaper” now than we’ve seen in 7 years, suggesting exposures with options strategies may be a “good deal”.

long term vix

Volatility Risk Premium

Following up from “VIX Back to Low” I wrote last week, sure enough: the volatility index has gained 20%. Since last week it has been a good time to be long volatility and a bad time to be short volatility. Many professionals who trade volatility as their primary strategy mostly sell it to collect the Volatility Risk Premium. To do that, they have to be willing to experience gaps like this.

VIX CBOE VOLATILTY INDEX JULY

 

VIX Back to Low

It isn’t unusual for the CBOE Volatility Index (VIX) to drop before a weekend and then pop on Monday morning. That is especially true before a long weekend for those who are concerned with Theta (time decay). Since options are deteriorating assets, their value declines over time. As an option approaches its expiration date without being in the money, its time value declines because the probability of that option being in the money (profitable) is reduced. The more time to expiration, the more time it has to be profitable. With less time, the probably is lower it will ever swing high enough. Theta is a ratio of the change (relative strength) of an option price to the decrease in time to expiration.

With that said, the VIX reached its prior low today. Here is what it looks like on a daily chart:

VIX daily 2014-07-03_16-17-30

Below we zoom in with an hourly chart for a closer view:

VIX 2014-07-03_16-16-49

You may notice the last time it reached this level it gained nearly 20% quickly. The swings in implied volatility are very significant. We’ll see next week if it does it again. Or, if it is on its way to single digits.

 

Business Cycle: Mean Reversion and Trends

The National Bureau of Economic Research publishes U.S. Business Cycle Expansions and Contractions in the economy. During an expansion, economic growth is rising and during a contraction it is slowing or actually falling.

Below is a chart of their idealized expansion and contraction phases. During each phase, different sectors of the economy are expected to do well or poorly. And, you can see what is happening at a peak and what happens afterwards. At a peak, economic data is strongest and news is good. Then it reverses down eventually. At a trough economic data is at its worst and news is bad, then it turns around. You may think about it and consider where the U.S. economy is now if you have an interest in the stage of the business cycle.

NBER Business Cycle

Source: National Bureau of Economic Research

A few concepts to think about.

Does it trend? Yes, it does. A trend is a directional drift over a time frame. The business cycle typically sees drifts up for 4 or 5 years and drifts down for 1 or 2 years. The trends are asymmetric, as you can see in the chart, the upward drifts tend to last longer and progress at a lower rate of change than the faster declining trends down. It seems that economic data, like prices, do trend over time.

Does it mean revert? Yes, while over shorter time frames of 1 year to 5 years we observe trends in the business cycle, when we look over a full business cycle we see that it oscillates up and down. However, the actual meaning of “mean reversion” means that it oscillates around an average, not just oscillates. If the data above has an average, and it necessarily must, then it does oscillate around that average. It’s just that the range up and down may be far away from the average. That is, the peak and trough in the chart above may stray far away from the actual “average” of the data series. Said another way, the business cycle is really volatile when you consider it over its full cycle because of the magnitude in range from high and low.

For those of you following along, you may see how I’m going to tie this in to something else next week…

Global Market Trends Mid Year 2014

I’m not one to put much emphasis on judging trends across arbitrary time frames like “mid year” or a specific calendar year, but it’s still interesting to see how global trends are playing out relative to how people perceive they are. At the end of last year the Dow Jones Industrial Average (DIA) was all the talk since it was the biggest gainer. So far in 2014 that DIA has gained only 2.54%. So, we could say that, though its range of motion and swings (volatility) has calmed down lately. Over the past 6 months the Dow stocks have lost their momentum. Those who only listen to financial news about stocks may be surprised to hear the 30 year U.S. Treasuries as measured by TLT have been the biggest gainer this year at 12%. Gold (GLD) and Emerging Markets (EEM) have had the largest range of swings. The broad-based bond index (AGG), Commodities (GSG), and Developed Countries (EFA) have trended similar to the Dow. I included $VIX, the CBOE Volatility Index to point out several observations. Notice how it has generally trended down and is down -15% over the first half of the year, you may also notice how much more it spikes up and down. That is, volatility is volatile.

Global market trend returns mid year 2014

Source: http://www.stockcharts.com

It’s important to understand that no intelligent person investors all their capital in stocks or in U.S. Treasuries or in Gold. Instead, they either allocate to many markets or rotate between them. The trouble with allocation to markets is they sometimes all go down at the same time, so diversification through just allocation may fail when you want it the most. That is why we rotate, instead of allocate, hoping to capture some of the good, and avoid most of the bad. No market trends up all the time and no strategy trends perfectly all the time, but the overall risk / reward profile is what matters. If someone can handle 50% declines and willing to wait 5 or more years to reach prior values, maybe they could invest all their money in stocks. We could say the same for commodities, real estate, and bonds. That is why we rotate, instead of allocate.

Have a great 4th of July!

 

Playing with Relative Strength

I discussed in my interview with Investor’s Business Daily in 2011 titled “How Mike Shell Uses Relative Strength To Trade ETFs” some very basic concepts of how I apply proprietary relative strength systems to ETFs in a tactical ETF managed portfolio. Though we can develop all kinds of sophisticated algorithms to define relative strength, momentum, and directional price trends, at the end of the day the concept is very simple.

Up until now (a signal that something has changed) small company stocks where lagging large company stocks. To illustrate what that looked like, I stopped the relative chart below in Mid-May. You may observe that the blue line (the Russell 2000 index of small company stocks) was lagging and with a higher range of swings (more volatile). The black line is the S&P 500 stock index weighted toward larger stocks.

small company stocks lagging large

Source: http://www.stockcharts.com

Next we update the chart to today’s date. Over the past month, small companies caught up. However, they are now at the prior high, so we’ll find out in the weeks ahead if the relative out-performance continues, or if it finds some resistance and reverses back down.

small cap stocks relative strength to large company stocks

Below I have zeroed out one side to express only the relative change of the small cap index while holding the large cap index steady. Here we see only the relative difference between small and large over the past year.

relative strength of small vs large ETFs

You can probably see how relative strength isn’t just about strength, there is also relative weakness. And, relative change oscillates over time.

Flaw of Averages

In Declining (Low) Volatility = Rising (High) Complacency I said:

“The VIX has a long-term average of about 20 since its inception. At this moment, it is 11.82. It’s important to realize the flaw of averages here, because the VIX doesn’t actually stay around 20 – it instead averages 20 as it swings higher and lower.”

The flaw of averages is the term used by Sam L. Savage to describe the fallacies that arise when single numbers (usually averages) are used to represent uncertain outcomes.

A fine example of the flaw of averages involves a 6 ft. tall statistician who drowns while crossing a river that is 3 ft. deep on average.

 

DanzigerCoverArtSavage

Source: http://www.danzigercartoons.com/

You can probably see how assumptions using averages can get us in trouble. It only takes a little to be “too much”… and that is mostly likely a problem when we expect the average and the possible range is much wider.

Asymmetric Volatility

Asymmetric Volatility is an observed phenomenon that volatility is higher in declining markets than in rising markets.

Asymmetric Volatility Phenomenon

 

You can probably see how we can relate this as asymmetric risk: the downside risk is higher than upside reward.

Asymmetric Risk

The VIX is Asymmetric, making its derivatives an interesting hedge

Asymmetric payoff VIX

The VIX is asymmetric, its distribution is non-symmetrical, it is skewed because it has very wide swings. The volatility of volatility is very volatile. There is an asymmetric relationship between stock index returns and the VIX. This asymmetric relationship is what initially makes the VIX interesting for hedging against S&P 500 volatility and losses.

Since I started the series about the extremely low VIX level Monday, like The VIX, as I see it…, The VIX has gained 17% while the S&P 500 stock index has lost about 1%. The VIX is asymmetric. While the VIX isn’t always a perfect opposite movement to the stock indexes, it most often does correlate negatively to stocks. When stocks fall, the implied (expected) volatility increases, so the VIX increases. Asymmetry is imbalance: more of one thing, less of the other. For example, more profit potential, less loss or more upside, less downside.

An advantage of the VIX for hedging is that it is asymmetric: it increases more than stocks fall. For example, when we look at historical declines in the stock index we find the VIX normally gains much more than the stock index falls. For example, if the stock index declined 5% the VIX may have gained 30% over the same period. That ratio of asymmetry of 6 times more drift would allow us to tie up less cash for a hedge position. Of course, the ratio is different each time. Sometimes it moves less, sometimes more.

When the VIX is at a low enough level as it’s been recently, the asymmetric nature of the VIX makes it an interesting hedge for an equity portfolio. The best way to truly hedge a portfolio is to hedge its actual holdings. That’s the only true hedge. If we make a bet against an index and that index doesn’t move like our positions, we still have the risk our positions fall and our hedge does too or doesn’t rise to offset the loss. I always say: anything other than the price itself has the potential to stray far from the price. But the asymmetry of VIX, its potential asymmetric payoff, makes it another option if we are willing to accept it isn’t a direct hedge. And, that its derivatives don’t exactly track the VIX index, either. None of the things we deal with is a sure thing; it’s always probabilistic.

This week has been a fine example of VIX asymmetry. The chart below shows it well.

The VIX is Asymmetric

Note: The VIX is an unmanaged index, not a security so it cannot be invested in directly. We can gain exposure to the VIX through derivatives futures, options, or ETNs that invest in VIX futures or options. This is not a recommendation to buy or sell VIX derivatives. To determine whether or not to take a long or short position in the VIX requires significantly more analysis than just making observations about its current level and direction. For example, we would consider the term structure and implied volatility vs. historical volatility and the risk/reward of any options combinations.

It’s official: extreme greed is driving the stock market

In Is the VIX and indication of fear and complacency? I pointed out a few reasons I believe a low VIX level can indeed be a signal of greed and complacency and a high VIX level is a measure of fear. It’s very simple: fear and greed are reflected in the price of options. When there is a strong demand for protection, the prices goes up. When there is little demand for protection, the price goes down. The recent low levels of VIX suggest a lack of fear or desire for protection from falling prices or rising vol.

I also said that the VIX levels often correspond with other sentiment levels. I have used the Fear and Greed Index before to explain how investors oscillate between the fear of missing out and the fear of losing money. After prices rise, we observe they get more greedy. For example, if they didn’t have strong exposure they may feel regret and fear missing out. After prices fall, they are afraid of losing more money. This Fear and Greed Index is published by CNN Money and is publicly available, making it useful for this purpose to illustrate how behavior drives trends. As you can see below, the current level is “Extreme Greed”, so that is the emotion driving stocks right now.

Greed index correlates with low vix

Source: CNNMoney’s Fear & Greed index

This Fear and Greed Index includes 7 different sentiment indicators. Market volatility as measured by VIX is one of them. In observing sentiment indicators like this, we see them oscillating between extreme greed and extreme fear over time. It spends a lot of time in the middle, too, but trends often reverse when it gets to extremes. When it reaches Extreme Greed, it eventually reverses down after prices peak out and reverse down. When it gets to an extreme greed level like it is now, we eventually see something come along and surprise them. I think it’s because investors become complacent and the stunned. Change is most alarming when it isn’t expected. When stocks fall, it will move toward fear as they fear losing more money. However, these measures can certainly stay extreme for longer than you think. That is the challenge to countertrend systems and thinking: trends do tend to persist, making it more difficult to bet against the wind. But when we see levels like this, we shouldn’t be so surprised when it changes direction.

 

 

Is the VIX an indication of fear and complacency?

In Declining (Low) Volatility = Rising (High) Complacency I concluded that right when investors are the most complacent, the trend changes. Prices fall, volatility spikes up. They feel more sure about things after prices have been rising, so there is less indecision reflected in the range of daily trading. When investors feel more uncertain, they become indecisive, so the range of prices spread out. That is why I believe a VIX at low levels it is now is evidence of complacency. Complacency means a person feels smug about how things are going.

In What does the VIX really represent? I explained another reason we may consider it a measure of fear or complacency. The VIX measures the cost of insurance. When there is more buying than selling in the option market, the market is buying protection, which is an indication of fear. In fact, options are most often overpriced – their implied volatility is higher than realized volatility. Option prices often reflect the premium paid for protection because of the fear of volatility or falling prices. When the VIX is low, as it is now, the cost of insurance is low and that tells us there isn’t a lot of protection buying (fear). They don’t believe volatility will be too high in the next 30 days. Of course, it’s often when people don’t expect a thing to happen that a surprise comes along.

But one indicator by itself isn’t necessarily enough to proclaim that all market participants are complacent. The VIX measures how short-term options are priced, and most investors don’t trade options, so we could say it’s mostly options traders sentiment, although there are all kinds of options traders. However, it does tend to correspond with other sentiment indicators.

If you hear someone say that VIX below 11 isn’t a big deal and isn’t a sign of complacency, well, you may consider what that means. I just said it means people are complacent, so it shouldn’t surprise you if they are. The more doubt we hear the more it confirms the belief. And, maybe they are selling vol hoping it will stay low and keep falling.

 

 

 

 

What does a VIX below 11 mean?

It means the expected forward volatility for S&P 500 stocks is 11%. That can be compared to historical volatility and realized volatility as it plays out. The VIX is determined by how put and call options are actually priced. That is, how much volatility is priced into them. It is volatility as implied by the options price.

It means that the stock market is expected to be calm. An upward trending and calm stock market is a good thing, if it will stay that way. The stock market regime has faded from an extreme range of prices during the 2008 to 2009 period and has gotten calmer and calmer as prices have trended up. After prices trend up, investors become more comfortable and less indecisive as I pointed out in Declining (Low) Volatility = Rising (High) Complacency.

When the VIX is at such a historically low level, it may be a good time to consider options instead of the underlying. And, it may be a good time to use options to hedge.

 

What does the VIX really represent?

The VIX is a gauge of S&P 500 options buying and selling. It measures the cost of insurance. When there is more buying than selling in the option market, the market is buying protection, and the VIX is higher and rising. When there is more selling than buying, the market is not seeking protection. The current level is historically low, implying investors may not be seeking protection. When the VIX is up, the cost of insurance is up. When the VIX is down, the cost of insurance is down. Options on the S&P 500 stocks are generally cheap when the VIX is low and expensive when the VIX is high. We would rather sell premium when the VIX is at higher levels, buy it at low levels. That’s how I think of it.

VIX is cost of insurance

If you wait to buy insurance when a hurricane is on its way, you’ll pay a very high premium. We want to buy it when no one expects a hurricane.

Just as it’s important for a global tactical trader to understand how markets interact with each other, it’s important to understand how volatility interacts and what drives it.

The VIX, my point of view

I believe we are naturally attracted to a strategy based on our personality. I am a trend follower most of the time, until the trend gets to an extreme. That is, I identify the directional drift of a price trend and intend to go with it. If it keeps going, I’ll usually stay with it. If it reverses the other way, I’ll exit. I completed scientific research over a decade ago that led to what I believe, and I have real experience observing it. I prefer to ride a trend until the end, but I notice when they start to bend. Or, maybe when it becomes more likely.

Before it bends, I may start expecting the end. I usually notice certain things that alert me the end is nearing. If you walk outside and throw a ball into the air you may notice something happens before the ball comes back down. Its rate of change slows down: its slope changes. The line drawn with a price chart isn’t unlike a line we may draw illustrating a ball travel.

trend like a ball

So, I’m not naturally attracted to “mean reversion” as most investors would define it. I point this about because when I do deal with mean reversion its only when its meaningful. When a stock, commodity, currency, or bond drops, I don’t necessarily expect it to “go back”. I find that many people do. They think because a trend drops it will snap back. They only need to be wrong about that once to lose a lot of money. You may remember some famous money managers who kept increasing their risk as losses where mounting during the 2000 – 2003 period or 2007 – 2009 period. It not stocks it was real estate.

My beliefs and strategies aren’t based on just my natural inclination, but instead based on exhaustive quantitative research, empirical observations, and real experience. I want to determine the direction of a trend and go with it for that reason, and then take note when one goes to extreme. The VIX reaching its lowest level since 2007 is such an extreme, though it could certainly stay low for longer than anyone expects.

Some people love hearing about potential reversion, so they’ll naturally be drawn to the CBOE Volatility Index. I’ll be the first to say that is not my main attraction. My natural state is more the cool high performance Porsche that is in demand rather than the ugly car no one wants, but is cheap. Though a cool Porsche at the right price is a good thing. Demand is ultimately the driver of price trends in everything, including listed options.

When we speak of the CBOE Volatility Index we are talking about a complicated index that measures the premium paid for options on the S&P 500 stocks. Robert Whaley of Vanderbilt University in Tennessee developed the CBOE Market Volatility Index for the Chicago Board Options Exchange in 1993. He had published a paper in the Journal of Derivatives with a self-explanatory title as to the intent: “Derivatives on Market Volatility: Hedging Tools Long Overdue,” which appeared in The Journal of Derivatives.

We can talk about all kinds of pricing theories and option pricing models that drive option prices and the VIX, but at the end of the day, the driver really is supply and demand.That’s what makes it my realm of expertise.

I trade volatility, and VIX derivatives specifically, for profit and for hedging So, I am not normally a writer about it, or in options sales (like a broker), but instead a fund manager who buys and sells for a profit. When I think of volatility and the VIX, I think of how I can profit from it, or how it may help me avoid loss.

That’s where I’m coming from.

The VIX is at a point we don’t see very often, so it’s a good time to take a close look.

 

The VIX, as I see it…

The CBOE Volatility Index (VIX) reached a low point last week not seen since 2007 as evidenced by the chart below.

CBOE VOLATILITY INDEX HISTORY

To see a closer view of the last period, below I included the last time the VIX was at such a low value. I show this to point out that the VIX oscillated between 9% and 12% for about 4 months before it finally spiked up to 20. Such a trend reversal (or mean reversion if you prefer) can take time. Imagine if the VIX stays this low for the next 4 months before a spike. Or, it could happen very soon. You may notice the VIX reached the level it is now at its lowest level in early 2007. If we believed these trends repeat perfectly, that absolute level would matter. Trends are more like snowflakes: no two are exactly the same. But in relative terms, the fact that today’s level is as low as the lowest point in early 2007 is meaningful if you care about the risk level in stocks and the stage of the market cycle.

CBOE VOLATILITY INDEX VIX Low levels

The best way to examine a trend is to zoom in. Start with a broader view to see the big picture, then zoom in closer and closer. When people focus too much on the short-term, they miss the forest for the trees. Below is the last time the VIX was below 12. You may notice that is does oscillate up and down in a range.

VIX BELOW 12

The level and directional trend of the VIX matters because of the next chart. You may see a trend if you look closely. The black line is the S&P 500 stock index. The black and red line is the VIX CBOE Volatility Index. You may notice the two tend to drift in opposite directions. Not necessarily on a daily basis, but overall they are “negatively correlated”. When the stock index is rising, the volatility is often falling or already at a low level. When the stock index is falling, volatility rises sharply. It isn’t a perfect opposite, but it’s there.

VIX and S&P 500 correlation and trend

If you are interested in stock trends and the trend in volatility, and specifically the current state of those cycles,  you may want to follow along in the coming days. I plan to publish a series on this topic about the VIX, as I see it. Over the last week or so I have written several ideas that I intended to publish as one large piece. Since I haven’t had time to tie it together that way, I thought I would instead publish a series.

When a trend reaches an extreme level like this, it may be useful to spend some time with it.

Stay tuned…

if you haven’t already, you may want to click on “Follow” to the right to get updates by email to follow along. This will likely be several informal notes in the coming days.

 

 

 

 

Is the tide going out?

 

tide goes out

“ It’s only when the tide goes out that you learn who’s been swimming naked.”

-Warren Buffett, 1992 Letter to Berkshire Hathaway Shareholders

 

The question: is the tide going out? more importantly, are you naked?

Let’s start to consider it: The VIX, as I see it…

Picture source: Left High and Dry

Science: systematic study of the structure and behavior…

Science

Investment management, executed properly, may be more scientific than you think.

Declining (Low) Volatility = Rising (High) Complacency

When we speak of trends, we want to recognize a trend can be rising or declining, high or low. These things are subjective, because there is infinite ways to define the direction of a trend, its magnitude, speed, and absolute level. So, we can apply quantitative analysis to determine what is going on with a trend.

Below we see a quote for the CBOE Market Volatility Index (VIX). The VIX is a measure of the 30 day implied volatility of S&P 500 index options. It is a measure of how much premium options traders are paying on the 500 stocks included in the S&P 500. So, it is a measure of implied or expected volatility based on how options are priced, rather than a measure of actual historical volatility based on a past range of prices. Without going into a more detailed discussion of the many factors of VIX, I’ll add that the VIX is a fine example of an index that is clearly mean reverting. That is, the VIX oscillates between high and low ranges. Once it gets to a high level or low-level, it eventually reverts to its average. Said another way, it’s an excellent example of an index we can apply countertrend systems instead of trend following systems, because the VIX swings up and down rather than trending up or down for years.

The VIX has a long-term average of about 20 since its inception. At this moment, it is 11.82. It’s important to realize the flaw of averages here, because the VIX doesn’t actually stay around 20 – it instead averages 20 as it swings higher and lower.

VIX CBOE Market Volatility below 12

 

I used the above image from CNNMoney because it shows the rate of change in the VIX over the past 5 years on the bottom of the chart. Notice that over the past 5 years (an arbitrary time frame) market volatility as measured by VIX has declined -63.78%. To get an even better visual of the decline and price action of the VIX, below is a chart of the volatility index going back to 2001.

Do you see a trend? Do you see high and low points?

VIX Long term average high and low

We observe the current level is low by historical measures. In fact, it’s about as low at it has been. The last time the volatility index was this low was 2006 – 2007. That was just before it spiked as high as it has been during the 2007 – 2009 market crash. You can probably see what I mean by “mean reversion” and “countertrend”. When the stock market is rising, volatility gets lower and lower as investors become more complacent. Most investors actually want to get more aggressive and buy more stocks after they have already risen a lot for years, rather than realizing the higher prices go the more risky they become. We love trends, but they don’t last forever. What I think we see above is an indication that investors have become complacent, option premiums are cheap, because options traders aren’t factoring in high volatility exceptions. However, we also see that the VIX is just now down below 12.5, and area the last bull market reached in 2006 and that low volatility stayed low for over a year before it reversed sharply. Therein lies the challenge with counterrend trading: we don’t know exactly when it will reverse and trends can continue longer than we expect. And, there are meaningful shorter term oscillations of 20% or more in the VIX.

I also want to point out how actual historical volatility looks. Recall that the VIX is an index of market volatility based on how options are priced, so it implies the expected volatility over the next 30 days. When we speak of historical volatility, there are different measures to quantify the historical range prices have traded. Volatility speaks of the range of prices, so a price that averaged 100 but trades as high as 110 and low as 105 is less volatile than if it trades from 130 and 70. Below I charted the price chart of the S&P 500 since 2002. The first chart below it is ATR, which is Average True Range. ATR considers the historical high and low prices to determine the true range. A common measure is the standard deviation of historical returns. Standard deviation is charted below as STDDEV below the ATR. Below Standard Deviation is the VIX.

VIX and S&P 500 historical market volatility

Notice that the measures of volatility, both historical and implied, increase when stock prices fall and decrease when stock prices rise. Asymmetric Volatility is the phenomenon that volatility is higher in declining markets than in rising markets. You can see why I say that volatility gets lower and lower as prices move higher and higher for several years. Then, observe what happens next. Right when investors are the most complacent, the trend changes. Prices fall, volatility spikes up. They feel more sure about things after prices have been rising, so there is less indecision reflected in the range of daily trading. When investors feel more uncertain, they become indecisive, so the range of prices spread out.

Based on these empirical observations, we conclude with the title of this article.

The VIX is an unmanaged index, not a security, so it cannot be invested in directly. We can gain exposure to the VIX through derivatives futures or options. This is not a recommendation to buy or sell VIX derivatives. To determine whether or not to take a long or short position in the VIX requires significantly more analysis than just making observations about its current level and direction. For example, we would consider the term structure and implied volatility vs. historical volatility and the risk/reward of any options combinations.

 

 

 

Complacency

complacency

As grandma used to say:

“Don’t get to big for your britches”

 

 

Stock Market Peak? A Tale of Two Markets

One of the early warning signs that a bull market in stocks is nearing its end is increasing selectivity. As more investors begin to believe a peak may be near based on statistical analysis or valuation, they may get positioned more defensively. Eventually we observe some stocks participating in a rising trend as others trend down early. Over the past several weeks we have observed a material divergence between large company stocks like those in the Dow Jones Industrial Average (DIA) vs. small company stocks like those in the Russell 2000 Index (IWM). As you can see below, the Russell 2000 index has declined nearly 9% while the Dow Jones Industrial has gained about 2%. Since the Dow Jones Industrial is more popularly quoted in the media, most investors probably believed “the market was still rising”. But unless you only have positions in the largest company stocks, you’re noticing that isn’t the case in terms of the broad market. Small company stocks tend to lead on the downside, so we shouldn’t be surprised if we see the larger companies follow them down at some point. You can probably see how this basic observation leads to further study of market breadth: looking at what percent of stocks are rising vs. falling.

Is this the “tail” of two markets?

stock market peak small cap large company stocks

Data: http://www.stockcharts.com

Of course, the direction of the overall market is interesting to monitor, but it only matters what positions we have at risk.

Fun with Weather Graphs: A Quant View of Knoxville Relative to Tampa

I recently compared the climate differences between two places I call home: Knoxville, Tennessee and Tampa, Florida. They have very different climates, Knoxville is in the Tennessee mountains, the Tampa Bay/Clearwater/St. Pete area is home of the best beaches in America.  Some of us consider the two the best of both worlds. What you believe depends on your own experience. Knoxville is one of the gateways to the Great Smoky Mountains National Park, the most visited national park in America. It had about 10 million visitors in 2013, which was double the Grand Canyon, the second most visited. The two cities have very different climates in the summer and winter months. We think of Tampa, Florida as hot and sunny. Knoxville is cooler in the summer, chilly in the winter. But that’s just my opinion and description. If we really want to understand the absolute level of temperature, humidity, and sunshine, and relative differences we can apply some quantitative methods and draw some visual graphs between them. Here you will see how I see and understand how I make decisions and draw distinctions. For those who otherwise have difficultly understanding data and graphs, you may find it more interesting to apply the same concepts to the weather.  I’ll share with you my study of Knoxville vs. Tampa weather which I think is a good example of applying historical data to understand what to expect. To do this weather comparison, I used this tool with data from the NOAA Comparative Climate Data.

Summer in Knoxville, Winter in Tampa?

Initially, we can compare the average temperature between Knoxville and Tampa to get a quick visual. We can see some positive asymmetry between the winter and summer months. The average temperature in January is in the 60’s in Tampa and only the 30’s in Knoxville: a 30 degree spread. Yet, the average summer months is only a 10 degree spread. I call that positive asymmetry, because we don’t want it too hot in the summer and we don’t want it too cool in the winter. Tampa has the better tradeoff. But, the flaw of averages is that the actual high and low range can be much wider than we realize, so can gain a better understanding by looking specifically at the highs and lows.

AVERAGE TEMP

average temperature knoxville tampa

 

Although Knoxville is in the south, it still gets cold in the winter months. If we wanted a “winter home” to avoid those cold winter months, we would first focus on the average low temperature. That is, “how cold does it get”? Comparing the lows allows us to understand how cold it gets. As we see in the chart below, January and February are the coldest months in Knoxville when the low is around freezing. On the other hand, in Tampa the average low is above 50. 50 is chilly, not really cold. Notice the other extreme on the chart is the peak, when the average low in Tampa is over 70 during starting in June through September. We could say that that weather in Knoxville is more volatile throughout the year since it has a wider range of temperatures. We can see the visually by how quickly the data spreads out or how steep it is between the summer months and colder months. Clearly, the average lows of Tampa are more comfortable if you enjoy the outdoors.

AVERAGE LOW

average low

 

What about summer?

We know that the further south we go, the hotter the summers we can expect. To see that visually, we can graph the average high temperatures. In Tampa, the average high is above 70 year around. The cold months in Knoxville have an average high around or below 50. When we consider the average low in Knoxville is in the 30’s and average high is the 50’s, that’s a material difference from an average low in Tampa in the 50’s and average high in the comfortable 70’s. In fact, you may observe the average low in Tampa is the average high in Knoxville.

But what about too much heat? While the average high in Knoxville is in July and just short of 90, Tampa stays as hot as Knoxville hottest month from May up to October. For some, Tampa may be too hot in the summer. But humidity has a lot of do with how hot it feels, we’ll get to that.

AVERAGE HIGH

average high

 

What about extreme cold?

When we analyze data, we want to look at it in different ways to carve out the things we want (warm weather) and carve away the things we don’t (cold and hot weather). Below we graph for a visual to see the average days below freezing (32F). Clearly, Knoxville experiences some freezing days that are rare in Tampa, Florida. Some of you are probably laughing at my calling below 32F “extreme cold”, thinking it should be instead below zero. What you consider extreme depends on your own judgment and experience.

 AVERAGE DAYS BELOW 32F

average days below 30 degrees knoxville tampa

What about extreme heat?

When we state an extreme, we have to define what we mean by extreme quantitatively. I used 90F to define an extremely hot day. As we see below, while Knoxville has many more days below freezing in the winter, Tampa has many more days of extreme heat in the summer. We are starting to discover when we want to be in Knoxville, Tennessee and when we may want to be in Tampa, Florida. As with investment management, timing is everything.

AVERAGE DAYS ABOVE 90F

average days over 90 degrees tampa florida knoxville tennessee

What about Precipitation?

It doesn’t matter if the weather feels great if it’s raining all the time. Tampa experiences a lot of rainfall in inches starting in May through September. Knoxville rainfall is actually a little less in the summer months. So, we could describe Tampa as hot wet summers and Knoxville as warm dry summers.

AVERAGE PRECIPITATION

AVERAGE RAIN PRECIPITATION KNOXVILLE TAMPA

 

A little rain is one thing and may not be significant. What if we define a “significant rain” as greater than 0.10 inches? The stand out is that Tampa has “significant rain” in the summer months and little in the winter.

AVERAGE DAYS OF PRECIPITATION LESS GREATER THAN 0.10 INCHES

average rain days over tenth of inch in tampa knoxville

 

What about Humidity?

If you’ve ever experienced a place like Vail, Colorado in the winter were you can sit outside for lunch in the snow without a coat on when it’s 32F, you’ll have a unique understanding of humidity. We can say the same for south Florida in July. Humidity is the amount of water vapor in the air. Humidity may take more explanation to better understand. According to Wikipedia:

Higher humidity reduces the effectiveness of sweating in cooling the body by reducing the rate of evaporation of moisture from the skin. This effect is calculated in a heat index table or humidex, used during summer weather.

There are three main measurements of humidity: absolute, relative and specific. Absolute humidity is the water content of air. Relative humidity, expressed as a percent, measures the current absolute humidity relative to the maximum for that temperature. Specific humidity is a ratio of the water vapor content of the mixture to the total air content on a mass basis.

Relative humidity is an important metric used in weather forecasts and reports, as it is an indicator of the likelihood of precipitation, dew, or fog. In hot summer weather, a rise in relative humidity increases the apparent temperature to humans (and other animals) by hindering the evaporation of perspiration from the skin. For example, according to the Heat Index, a relative humidity of 75% at 80.0°F (26.7°C) would feel like 83.6°F ±1.3 °F (28.7°C ±0.7 °C) at ~44% relative humidity.

The temperature alone isn’t the full measure of how hot and uncomfortable the climate can be. We can break down humidity into morning and afternoon. Morning humidity in Knoxville is highest in the winter months, which leads to a cold, wet feeling winter. Morning humidity in Tampa is highest in the summer, making hot feel even hotter.

AVERAGE MORNING HUMIDITY

average morning humidity knoxville tampa

 

As we see below, afternoon humidity is much higher in Knoxville during the summer months.Tampa stays above 82% humidity on average. By now you have probably began to spot directional trends in the data as well as mean reversion. For example, in the chart below the red line (Knoxville) trends upward sharply from March to August. Then it reverses back down to retrace about half the prior gain. I see the same patterns and trends in global markets, though they are more difficult based more on social science than the science of climate and seasons. Yet, there are seasonal patters in global markets, too, such as “sell in May and go away” and “January Effect”. But unlike weather changes, they seasonal changes in the stock market aren’t as sure as the transition from summer to fall to winter to spring to summer again in Tennessee.

AVERAGE AFTERNOON HUMIDITY

average afternoon humidity knoxville tampa

Tampa has a Breeze

Below we see the average wind speed. Tampa has a breeze to help cool us down compared to Knoxville.

average wind speed tampa florida knoxville tennessee

What about Sunshine?

Warm dry weather is nice, but what about sunshine? Below we see why they say “Sunny Florida”. You may notice that Tampa is more sunny in the winter months then even the summer months. Knoxville has a greater possibility of sunshine March through October with a sharp downtrend on both ends.

AVERAGE SUNSHINE POSSIBLE

AVERAGE SUNSHINE POSSIBLE TAMPA KNOXVILLE

What about Cloudy Days?

If you live in the north, you are familiar not only with cold wet winters, but cloudy grey skies. The outliear that stands out on this graph is that Knoxville is cloudy half of the days of each month in the winter. Tampa, on the other hand, has few cloudy days throughout the year, but its highest is the July. You may have noticed some climate patterns between Tampa and Knoxville are negatively correlated. That is, Knoxville tends to be cloudy in January and least cloudy in July and Tampa is nearly the opposite.

AVERAGE DAYS CLOUDY

average cloudy days knoxville tampa

In the late 1990’s I remember listening to Steven Covey audiobook of “7 Habits of Highly Effective People” when he would say: “proactive people carry weather with them”. That is an example of Projection makes perception: seek not to change the weather, but to change your mind about the weather. That may work for some of us for many years, but eventually we may instead decide to “rotate instead of allocate”. That is, we may decide a warm sunny place like Tampa, Florida is a great place when its cold, wet, and cloudy in a place like Knoxville. Though, Knoxville may be better to spend the summer months with its more mild summer than the hot humid wet Tampa summer.

You can “carry weather with you” by perceiving it how you want, or you can carry (rotate) yourself to the weather you prefer. You can probably see how this quantitative data study helps visualize the absolute climate ranges and relative differences to make the decision with a greater understanding of what to expect.

 

 

 

 

Fact, Fiction and Momentum Investing

Fact, Fiction and Momentum Investing

Abstract

It’s been over 20 years since the academic discovery of momentum investing (Jegadeesh and Titman (1993), Asness (1994)), yet much confusion and debate remains regarding its efficacy and its use as a practical investment tool. In some cases “confusion and debate” is us attempting to be polite, as it is near impossible for informed practitioners and academics to still believe some of the myths uttered about momentum — but that impossibility is often belied by real world statements. In this article, we aim to clear up much of the confusion by documenting what we know about momentum and disproving many of the often-repeated myths. We highlight ten myths about momentum and refute them, using results from widely circulated academic papers and analysis from the simplest and best publicly available data.

Read the full paper: Fact Fiction and Momentum Investing

Source: Israel, Ronen and Frazzini, Andrea and Moskowitz, Tobias J. and Asness, Clifford S., Fact, Fiction and Momentum Investing (May 9, 2014). Can be found at SSRN: Fact, Fiction and Momentum Investing

Asymmetric Risks of Momentum Strategies

Asymmetric Risk

Asymmetric Risks of Momentum Strategies is another attempt to explain the excess returns of momentum using the Capital Asset Pricing Model. The paper discusses a theory of risk asymmetry in momentum risk/reward, but not how to gain an edge from it.

Abstract:

I provide a novel risk-based explanation for the profitability of global momentum strategies. I show that the performance of past winners and losers is asymmetric in states of the global market upturns and downturns. Winners have higher downside market betas and lower upside market betas than losers, and hence their risks are more asymmetric. The winner-minus-loser (WML) momentum portfolios are subject to the downside market risk, but serve as a hedge against the upside market risk. The high return of the WML portfolios is a compensation for their high risk asymmetry. After controlling for this risk asymmetry, the momentum portfolios do not yield significant abnormal returns, and the momentum factor becomes insignificant in the cross-section. The two-beta CAPM with downside risk explains the cross-section of returns to global momentum portfolios well.
Source:Dobrynskaya, Victoria, Asymmetric Risks of Momentum Strategies (March 2014). Available at SSRN: http://ssrn.com/abstract=2399359 or http://dx.doi.org/10.2139/ssrn.2399359

 

Leading stocks are lagging

As another example of the observation I pointed out in Adapting to Change… and Volatility, below are today’s stock index price changes.

stock market losses 2014-04-04_15-15-53

Below are the price changes for the top 10 highest ranked stocks. Clearly, leading stocks are dropping more. And, such an increase in volatility is more common now days.

ibd 50 top ten losses 2014-04-04_15-15-31

5th Year Anniversary of the Bull Market

This week marked the 5th anniversary since the March 9, 2009 low in stock market. While much of the talk and writing about it seems to be focused mainly on the upside gains since the low point, it is more important to view it within the context of the big picture.

If you knew on March 9, 2009 that was the low point and could handle the 5 – 10% daily swings that were occurring during that time, then you could have made a lot of money. But, the fact is, many people have emotional reactions after a -10% decline over any period, even more it happens in a day or a week. But even if you don’t, in order to have made a lot of money you would have needed to have exited prior to the large loss before then. You needed cash to invest at the low. I heard some are bragging about their gains since the low, but they left out how much they had lost over the full cycle. It doesn’t mean anything to earn 100% over one period if you lose -50% the next period that wipes it out.

It doesn’t actually matter how much the stock index gained from its low point. What matters is its trend over a full market cycle. People sometimes have trouble seeing and understanding the bigger picture, which is one reason they get caught in traps in the short run.

Below is the price trend of the S&P 500 stock index over the most recent full market cycle. I define a full market cycle as a complete cycle from a peak to low to a new peak. That is, it includes both a “bull market” and a “bear market”. To get an accurate picture, I have used the SPDRs S&P 500 ETF and a total return chart, so it does include dividends. After more than 7 years, the stock index has only gained 35%. Yet, it declined -56% along the way. That isn’t the kind of asymmetry® investors seem to want. If you think about risk reward, 20% is great upside if the downside is only -10%; that is positive asymmetry®. We want to imbalance risk and reward, more of one, less the other.

S&P 500 full market cycle 2014-03-14_10-34-31

If you look closely, it took 5 years after the October 2007 peak to get back to break even. Though it has taken a long time to recover from the cascade decline, the recovery was impressive in terms of its gains, but extremely volatile for investors to endure.

When looking at a period of over 7 years, the swings don’t seem so significant. To put them into context, there were about 9 declines around 10% or more with the one in 2011 about -20%. This has kept many investors from buying and holding stocks.

If you are good at visual intuition, you may notice the price swings on the left of the chart are much wider than those more recently. This is a visualization of higher volatility as the trend was down and continued volatility caused by indecision between buying pressure and selling pressure.

After prices have trended down, such as the 2008 and 2009 period, the range of prices is wide and investors who held on too long panic, yet buyers aren’t willing to buy at their price.

After a price trend has been drifting up for several years and investors hear about how much it has gained, they become more and more complacent and more optimistic. They do this near a peak.

You can probably see how most investors who lost a lot of money before are likely to do it again. Unless something like the observations I have shared here helps to change their behavior, they are likely to do the same thing they did before.

Intention = Result: Everybody gets what they want out of the market

“Win or lose, everybody gets what they want out of the market. Some people seem to like to lose, so they win by losing money”  – Ed Seykota

Source: Schwager, Jack D. (Editor), Market Wizards, HarperCollins (1989), page 172, ISBN 0-88730-610-1, Read it here

Projection makes perception

The world you see is what you gave it, nothing more than that. But though it is no more than that, it is not less.… It is the witness to your state of mind, the outside picture of an inward condition.… Therefore, seek not to change the world, but choose to change your mind about the world.

– A Course in Miracles (T-21.in.1:2,3,5,7).

Is market timing [short-term trading back and forth among asset classes] really a good idea?

In October 2004, Jason Zweig interviewed Peter Bernstein for MONEY Magazine. The title was Peter Bernstein interview: He may know more about investing than anyone alive. Peter L. Bernstein was an early pioneer of tactical asset allocation thinking. He wrote about valuation-based asset allocation and being tactical in decisions rather than passive. He believed what I believe: we should take more risk when its likely to be rewarded and less risk when it is less likely to be rewarded. He published several books about it.

In the interview, Zweig asked:

“Is market timing [short-term trading back and forth among asset classes] really a good idea?”

Bernstein answered:

“For institutional investors, the policy portfolio [a rigid allocation like 60% stocks, 40% bonds] had become a way of passing the buck and avoiding decisions. The problem was that institutions had settled on a [mostly stock] asset allocation because in the long run, they concluded, that’s the only place to be. And I think the long run ain’t what it used to be. Stocks don’t have to do well in the future because they did well in the past. In fact, the opposite may be more likely.”

Source: http://money.cnn.com/2004/10/11/markets/benstein_bonus_0411/

Based on the chart below, which shows the Dow Jones Industrial Average (a stock index that cannot not be invested in directly) since that interview in 2004, I’d say Bernstein was right. Over the next decade, the stock index went on to gain 65%, but it dropped nearly that much along the way. That doesn’t seem to be the kind of asymmetry® that investors are looking for. If you look at it close enough, you can probably see why it makes sense to take more risk at some points, less risk at others. Though, it’s probably at the opposite times most investors do. So, most will advise investors not to try to do it. Like most things in life, some do it much better than others and have active track records that reflect it.

stock market index since 2004

source: https://stockcharts.com/freecharts/perf.php?$indu

The new normal is a roller coaster of one bubble bursting after another.

Neural networks are computer systems inspired by an animals’ central nervous system that is capable of machine learning and pattern recognition. Neural networks can be very powerful systems for identifying and classification of things. If we are developing neural networks to categorize and recognize patters we necessarily have to teach it what a pattern looks like. A simple way to understand is to think of letters in the alphabet. The first letter of my last name can appear very different, depending on what font we use.

S neural network example

You can probably see how a program designed to recognize the pattern to classify a letter would necessarily need several variations – a range of possibilities. In other words, if it required perfection and we defined the perfect “S” as the first one, it would miss the other two.

I use this as an example for common errors in identifying and classifying chart patterns. Not all price trends unfold the exact same way, so there is some subjectivity about identifying and classifying them. If we required them to be too exact, we miss those that aren’t. But patterns don’t always play out as expected, either. Just because the stock market index broke out to a new high doesn’t mean it must continue its inertia in that direction. It’s probabilistic, never a sure thing. We the people have trouble with that – people hate uncertainty, even though that’s all we ever have.

Now that we’ve added some tolerance to our thinking for a moment, let’s take a look at an interesting chart someone passed along in my inbox recently. Below is the S&P 500 stock index from the HS Dent Foundation. Harry Dent probably needs no introduction. As you can see, he has labeled the chart to classify the peaks and troughs with A, B, C, D, and E. At this point, the price trend is at the “E” stage. He draws a dotted line that shows the trend eventually reversing down from a higher high at “E” to a lower low, which I guess will be labeled “F”. That’s why they call it a megaphone. What happens after “E” is not yet known, but you can probably see the line of thinking.

Dent S&P 500 Megaphone chart

The article someone passed along is an interview with Dent. Below is the part that referenced the chart:

HD: Investors must realize that there is a new normal. Stocks will not be growing at 12%/year. Bonds will not yield 5–6%. The new normal is not even the expectation of 4% on stocks and 2% on bonds that people like Bill Gross from PIMCO suggest. The new normal is a roller coaster of one bubble bursting after another.

Investors have to get away from the traditional concepts of diversification and asset allocation for the next decade or so. When bubbles burst, everything goes down. In 2008, real estate, oil, commodities, gold and silver crashed. The U.S., European and emerging markets crashed.

With each bubble, the market has gone to a slightly new high and to a slightly new low when the bubble bursts. We call it a megaphone pattern.

“The new normal is a roller coaster of one bubble bursting after another” isn’t as much a prediction as it is a reality, as evidenced by the actual history of the chart. The problem is, it seems, according to Dent the peak at “E” was supposed to play out in 2013. So, many people now criticize his forecast.

Someone asked what I thought about it, so I’ll share two things.

1. He was wrong in his precise prediction that this top would be 2013. We can only say that because 2013 has passed. The problem with predictions and forecasts such as this is that no one really knows for sure what’s going to happen next, much less the precise date. Even if it were probabilistic based on sound logic and math, which implies there is some chance it may be wrong.

2. What I like about the chart is that it can be useful as a reminder to actively manage risk. What if it does play out that way? Because of #1, it may not be wise to exit to 100% cash and wait for it to happen – it may not. Instead, you may use it as a motivation to know what you’ll do if that does play out. If you do nothing at all, how will a -70% decline in stocks impact you? Will you have time to wait for the 233% gain required to recover the loss? When would that be? If you wish to instead avoid such a decline, how will you do that? Such declines don’t go straight down quickly, but usually more of series of advances and declines making it very difficult to navigate. For example, -10%, +8, -15%, +9, -20%, +17%, etc. Every time it moves up, people get excited and wished they’d picked the bottom. If they get in, and it reverses back down, they are in a loss trap again. When they are down even more, they panic out, it reverses back up, they wish they were in. If they are a new portfolio manager with no prior experience in such a period, they’ll have investors feedback coming in with the wrong sentiment at the wrong time. If you are unsure about what I mean by people oscillating between the fear of missing out and the fear of losing money, you’ll understand after you experience it if this chart plays out.

I’m sure he provides all kinds of fundamental and economic reasons for why a new low for stocks could be reached in the years ahead. Those things can have the power to convince you if it will happen, nor not. What you believe is always true for you. Let it serve as a reality check for the current stage U.S. stocks may be in if you find yourself feeling giddy like the crowd. My focus is on a range of possibilities and being prepared with systems designed from experience to deal with them, not just hypotheticals and back-tests.

It doesn’t matter if it will happen, it only matters if it does. And if it does, how we respond to it is what creates our own outcomes. The thing about patterns is they don’t have to be perfect… just because one person expects it to be Arial doesn’t mean it won’t be Century Gothic.

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Global Macro: Russia was already a bear market

On Monday, the Russia stock market, as measured by the MSCI Russia Capped Index, declined over -8% with the headlines filled with news about their military actions. Based on that index of stocks, the Russian stock market was already in a bear market. Big down days often occur when selling pressure is already present. That’s how good price trend systems can avoid waterfall declines. Selling pressure causes prices to fall and falling prices lead to “serial correlation”. That is, prices decline because people are selling because prices are falling. There isn’t a requirement for a fundamental or economic reason. The reason is behavior: people who experience the decline you see in the chart below get to a point that they “tap out”. They tap out just because they are losing money and they have reached their “Uncle!” point. On Monday, the decline didn’t just stop at -4% because people wanted to cut their losses and that selling pressure pushes the price even lower.

russia stock market bear market

Global Macro: Heavy Losses in Russia

Looking around the globe, the downward drift seems to be in Russia today. Egypt is a close second.

global macro losses in russia stock market

data source: http://www.etf.com

Adapting to Change… and Volatility

High relative strength stocks have always had the potential to gap down just as they may gap up. High momentum is sometimes joined by high volatility. I have observed several changes in trend behavior and volatility since the 2007 to 2009 bear market. One of them has been an increased level of individual volatility, especially on top ranked momentum stocks. Volatility is how much or how quickly the range of prices spread out and volatility is non-directional. A stock that loses -10% in a week may be considered volatile, but so is one that gains 10%. It’s the downside volatility we are concerned about. When stocks tend to gap down more, it makes it difficult to extract more profits than losses. I could show some sophisticated quantitative studies illustrating what I mean, but instead I’ll just show a very simple observation.

As you can see below, the popular stock indexes are down this morning an average of -.67%.

stock market returns

Below are the top 10 stocks of the IBD 50, a proprietary list of the 50 top-ranked companies published every Monday in Investor’s Business Daily. Companies are ranked based on superior earnings, strong price performance, and leadership within their respective industries. These top 10 stocks are down an average of -1.71% with two of the stocks down over -6% and the one that gained over 3% isn’t enough to help While strong momentum stocks have always had times when volatility cuts the other way, we’ve seen it more the last several years.

ibd top 10

One of the greatest gifts

to give anything less than your best is to sacrifice the gift

 

One of the greatest gifts? Drive.

Outcome bias

outcome bias

The outcome bias is an error made in evaluating the quality of a decision when the outcome of that decision is already known. Outcome bias is the tendency to judge a decision based on the outcome, rather than on the quality of the decision (using information known) at the time it was made.

How do I qualify?

Someone passed along one of those passionate political videos with a thought-provoking title, so I watched. It started out with

You want to see something really disturbing? Go to any search engine and type in “how do I qualify” and see what comes up.

I was a surprised by what he said I would find, so I stopped and did just that.

What do you think of when you ponder “How do I qualify”? For college? for a certain job? for a home loan? for medical school? business school? law school? the military? for a private investment program?

According to the Yahoo! search engine, below are the top things Americans want to know when searching  “How do I qualify”.

how do I qualify

Source: https://www.yahoo.com/

Wow… that is a shocker. I would have lost that bet.

Maybe they’re right. Some of us must be out of touch with the world as it really is.

Academic: not of practical relevance; of only theoretical interest.

Professors at colleges and universities are often called “Academics”. Much of their job is to write and publish “academic research papers”. It is no wonder you can find such a paper on most any topic. Investment management is a popular topic and it seems we see observe more and more such papers being cited and talked about.

Someone was telling me a story recently about the unethical use of the power of persuasion and influence. It reminded me how academic research is sometimes used to mislead people. For example, I read a book a few years ago that was supposedly in pursuit of finding alpha, but the entire book cited hundreds of academic studies promoting a passive asset allocation strategy. Yet, there wasn’t a single mention of the word “momentum” in the book, even thought there are over 300 academic papers that discovered alpha applying simple momentum/relative strength strategies. Momentum has even dis-proven the “Efficient Market Hypothesis”, but promoters of EMH call it an “anomaly” they can’t explain. I found the book misleading because of its title and content was conflicted – and it left out the one thing that even academics have found alpha.

I am often asked for my opinion about some of their research. I spend every day working on my edge. In addition to constant exploring and proprietary studies, I monitor and read many of the academic papers being published on topics I have interest and expertise, such as trend following, behavior finance (investor/trading psychology), volatility trading, global macro trading. I especially read studies about constructing trades with options and applying momentum. While some of these papers are worth reading and some even excellent, most of them seem to lack real world experience for application.

We have to consider that many of the people writing an academic paper don’t have any meaningful actual experience doing what they are writing about, so the studies are theoretical, conceptual, notional, philosophical, hypothetical, speculative, conjectural, and suppositional.

You may find it interesting that I found all those synonyms by looking up “academic” on Wikipedia. I thought it was interesting that their second definition of “academic” is “not of practical relevance; of only theoretical interest.”

academic stock market research dfa

As we think independently and critically about the world and our quests, we may keep this in mind as we read and cite academic research. That is in fact a function of being a good scholar and researcher, whether you do it for profit, or not. You may consider that it’s what you may be wrong about, or what you are missing, that should be your primary concern.

Trajectory and Directional Price Trends

Thinking about the meaning of trajectory and how it relates to directional price trends.

A trajectory is the path followed by a projectile flying or an object moving under the action of given forces. For example, the curved path along which something (such as a bullet or rocket) moves through the air. In thinking of directional price trends, you may consider how the beginning of the trajectory is steep sloping as it gains velocity and then it loses momentum and begins to level off and eventually drifts downward (if it doesn’t hit something along the way).

trajectory RiflemansRule.svg

Oh seven, eight, and nine: Remembering the Last Bear Market

I’ve been working on a report for our clients about the current conditions of global markets and how we’ll know when it changes from positive to negative. I’m calling it something like “What a Market Top Looks Like”. It’s actually a working document; something I’ve added to since 2001. I haven’t sent a piece like this to our clients since late summer of 2007 when I believed global markets were getting closer to a significant peak.

The current bull market in U.S. stocks is now about 58 months old. As I explained in The REAL Length of the Average Bull Market, bull markets have averaged about 39 months and bear markets about 17 months. A full market cycle (average bull + bear) is 56 months. The current bull market, then, is longer than the historical average full market cycle. Probably driven by the Fed’s QE experiment, the advancing part of this cycle is 20 months longer than average. So, it seems to make sense to start watching for signs the topping process has started and remind our investors what that looks like and how we deal with it. Most people will become more and more complacent the higher and longer it goes – I’ll do just the opposite.

As I’ve been thinking about this lately, it occurred to me that, if anything, most thoughts seem more focused on the “bear market” period than they are what a market topping process looks like. Clearly, what is today known as the “Global Financial Crisis” or “Great Recession” will be forever imprinted in people’s memory – especially those who held on to losing stocks and bonds to large losses.

Someone was recently telling me of a strategy that “made money in 08”, but when I looked at it, they left out that it had declined -20% just before 2008. For many investors, that -20% may be just enough to cause them to exit the strategy, so it wouldn’t have mattered what it “did” the next year. Losses as large as -20% turn $1,000,000 into $800,000 or $10 million into $8 million. Whether it’s rational or not, investors start to perceive such losses as permanent. The more they think about it the more they may start to experience disappointment from the dreams of what they could have done with all that money they once had – but is lost. But, while our money is invested in a market and exposed the possibility of a loss – a gain is the markets money until we take it.

When people talk about the last bear market, they call it “2008”. They remember “2008” or “08” pronounced “oh – eight”. When we talk to investors about our investment programs they say “How did it do in 08?”. But, the trend wasn’t just 2008.

Below is a total return price chart of the S&P 500 stock index during the calendar year 2008. It declined -38.49% during the calendar year 2008. However, at one point it was down -48%.

S&P 500 stock index 2008 return

That was just the calendar year 2008. The stock market decline actually started October 10, 2007. Below is a chart of that date through year-end 2007. The S&P 500 stock index had already declined -10% at one point and the -6.18% adds to the total decline.

S&P 500 2007 beginning of bear market

You may start to notice how different the result can seem depending on when you look at it. As it turned out, 2008 was just the middle of the bear market. As we saw in the first chart, October 2008 was the first low. It seems people may call the bear market “Oh eight” because 2009 ended “up”, but the bear market actually continued into 2009. In fact, 2009 was some of the steepest part of the waterfall. Below is the bear market continuation into 2009, an additional  -25% decline.

Bear market continuation 2009

The full bear market was 2007, 2008, and 2009. It was a -56% decline in total.

Full bear market from 2007 to 2009

You can probably see how studying trends closely, we begin to realize that arbitrary time frames, like a calendar year, can be misleading about the bigger picture.

But, what may be more useful today is a strong understanding of the price trends leading up to all the historical bear markets.

Why Investors Fail

why investors fail

People believe they know things they don’t and focus their energy trying to know the unknowable, rather than focusing on those things we can know and can control. The problem starts with one of the most read and respected investment books.

“An investment operation is one which, upon thorough analysis, promises safety of principal and an adequate return. Operations not meeting these requirements are speculative.

-Benjamin Graham, “The Intelligent Investor”, 4 ed., 2003, Chapter 1, page 18.

The trouble with that statement is that it promises the impossible. That is, I believe all operations are speculative and we do best by treating them as such.

First, let’s define the terms, according to Merriam-Webster.

A promise is:

 “a statement telling someone that you will definitely do something or that something will definitely happen in the future.”

Analysis is:

“detailed examination of the elements or structure of something, typically as a basis for discussion or interpretation.”

Speculative is:

“engaged in, expressing, or based on conjecture rather than knowledge. (of an investment) involving a high risk of loss.”

So, to be sure we understand the meaning, let’s read it again and then interpret what it means using these definitions.

“An investment operation is one which, upon thorough analysis, promises safety of principal and an adequate return. Operations not meeting these requirements are speculative.”

In other words, it suggests if you do a thorough examination of the operation, you will gain “safety of principal and an adequate return” and that will definitely happen in the future.

If you have ever wondered why so many don’t do well at investment management, this is one reason. They believe they can do thorough analysis up front that that will assure the outcome and protect against loss.

It doesn’t actually work that way.

We never know for sure in advance. And, if we focus on the things that do matter, we don’t need to know what will “definitely happen in the future”. The exit, not the entry, determines the outcome. The trouble with much of the value investing philosophy, whether buying private companies or exchange traded securities, is the assumption that you can determine what will happen next. But when you are so confident in that, you end up caught in a loss trap when you are wrong with no way out. Instead, the outcome is completely determined by our exit: how we get out of it.

So, I treat all operations as “speculative”. All operations have a high risk of loss.

And, all things are “conjecture”.

Conjecture:

“an opinion or conclusion formed on the basis of incomplete information.”

That is, we always have incomplete information. We never know it all. To me, it makes a lot more sense to focus on the direction prices are trending and know I’ll create my results by my exit, not my entry. I focus my energy on defining the direction and when it’s going in the wrong one… so I can exit.

etf managed portfolio

Dow is down 6.7%: Extreme Fear is Now Driving Stocks

During holiday parties it seemed everyone was talking about how much the Dow Jones Industrial Average was “up” for the year. So, it is no surprise that the Dow is down -6.7% since the beginning of the new year.

Dow Jones Industrial year to date

And, now that Dow is down -6.7%, investor sentiment measured by the Fear & Greed Index has shifted from greed as the return driver to Extreme Fear. Investor’s tend to get overly aggressive after prices advance and then afraid after prices fall. For example, a wealth manager told me in December that a client of his wanted to “shift to a more aggressive model’ because stocks had gone up so much. People tend to extrapolate the recent past, expecting it will continue into the future.

Extreme Fear Driving Stocks Investor Behavior

Source: http://money.cnn.com/data/fear-and-greed/

Though there seems to be signs the topping process may be underway, the stock market often trends the opposite of what investor’s expect, so I wouldn’t be surprised to see a reversal.

Is the Bull Topping Process Starting?

There are several things that unfold as a market begins the topping process. While large cap indexes may continue to make new highs, the market becomes more and more selective. We’ll see that in breadth indicators like bullish percent indexes, Advance Decline Lines, etc. As the market finds fewer and fewer stocks attractive, it becomes more selective, so fewer stocks remain in positive trends.

The current bull market in stocks is about 58 months old. As I explained in The REAL Length of the Average Bull Market the bull markets have averaged about 39 months and bear markets about 17 months. A full market cycle (average bull + bear) is 56 months. The current bull market, then, is longer than the historical average full market cycle. So, it makes a lot of sense to start watching for signs the topping process has started. It’s important to understand a bull markets end with a process of churning up and down and with fewer stocks participating in the last stage of advances.

Below is an example of fewer stocks participating. The S&P 500 Bullish Percent Index shows a composite of the 500 stocks in the S&P 500 index that are in a positive trend. The lower highs made over the past year is beginning to show fewer of those stocks are making buy signals as the S&P 500 index has made new highs. It appears the selectivity is in its early stage as the percent of stocks on a buy signal is still around 70%, but it’s falling. This is just one example of the kind of things I observe when watching for a topping process.

NYSE Bullish Percent

Source: https://stockcharts.com/def/servlet/SC.pnf?c=$BPSPX,P

Below I list a table of several other bullish percent’s for stock indexes. Using Point & Figure terminology,  they are either a Bull Top (the chart is falling (in a column of Os) but above 70%) or Bear Confirmed (chart is falling (column of O’s) below 70% and has generated a P&F sell signal). I wouldn’t be surprised to see these get a lot lower in the months ahead. However, what makes it difficult for most people is the process is made up of advances and declines, not usually just a straight down move. The whipsaws up and down is what causes the most trouble.

Index Bullish% Status Status Change
Russell 2000 64.03% Bear Alert 30-Aug-13
Dow Industrials 63.33% Bear Confirmed 31-Jan-14
NASDAQ 100 65.00% Bear Confirmed 29-Jan-14
NYSE 61.55% Bear Confirmed 27-Jan-14
Optionable Stocks 67.60% Bear Confirmed 31-Jan-14
S&P SmallCap 600 67.55% Bear Confirmed 31-Jan-14
AMEX 63.31% Bull Confirmed 2-Jan-13
NASDAQ Composite 62.68% Bull Confirmed 2-Jan-13
Wilshire 5000 66.29% Bull Confirmed 2-Aug-13
S&P 100 70.71% Bull Top 13-Dec-13
S&P 500 68.41% Bull Top 24-Jan-14
S&P Composite 1500 70.30% Bull Top 28-Jan-14
S&P MidCap 400 72.64% Bull Top 27-Jan-14

“The whole problem…

bertrand-russell-quote-fools-wise-men-quote

“The whole problem with the world is that fools and fanatics are always so certain of themselves, but wiser people so full of doubts.”

—Bertrand Russell (British mathematician and philosopher, 1872-1970)

Ways you sabotage yourself

Investors’ hate being wrong, so they’ll hold on to losing positions and get caught in a loss trap. They will favor information that supports what they already believe, even when new information proves it wrong. If you spend time reading about the market, you may notice you are mostly looking for evidence that supports what you already believe rather than data that may cause you to stop and reverse.

Skilled and experienced investment managers eventually figure out that the challenge isn’t the market- it’s us. We create our results, not the market.

When we realize that mistakes are biases and illusions, not being wrong on a position and taking a loss to keep them small, that’s what creates an edge.

Trang Ho of Investor’s Business Daily wrote an outstanding article worth reading on the subject. It’s about self-sabotage: Stock Market Traps: 5 Ways Your Brain Can Sabotage Your Investing

2013 Asset Allocation Returns

2013 was a big year for U.S. stocks and a losing year for other markets like bonds and emerging market countries. Though many people like to talk about how much the Dow Jones Industrial Average or the S&P 500 stock index gained, in reality few people actually invest all of their capital in U.S. stocks. That is probably more true the more money an investor has. If they want to have it all in stocks, it’s probably after a big year, not before it.

The true way to determine what return investors’ as a group earned in funds or ETFs is to create an asset-weighted composite of all the funds available. Such a composite would weight each fund based on how much money is actually invested in it, so if 50% were in bond funds that lost -2% and 50% was in stock funds that gained 20%, the composite would show an asset-weighted return of (50% x -2% = -1%) + (50% x 20% = 10%) = 9%. You can probably see how arbitrary it is to speak of calendar year returns, but the actual return investors earn is dependent on how much capital was invested in the funds and their gain or loss.

I don’t know of a data source that does that for all available funds, but below is a table from Morningstar that presents a category returns of mutual funds in their “allocation” category.  I highlighted the 1 year return which approximates the calendar year 2013 and horizontally I highlighted two categories that are likely most represent investors’ allocation. The “Moderate Allocation” is like a 60/40 balance of 60% stocks and 40% bonds, which is popular. The “World Allocation” includes global allocation funds which have been some of the best performing funds long term. The Moderate Allocation category gained over 13% and the World Allocation gained about 8%. And, like the stock indexes, most of these mutual funds are fully exposed to loss at all times.

2013 Asset Allocation Returns

Source: Morningstar

The Fed: What Happened Next…

A month ago in “The Fed: What’s going to happen next? I suggested that you might consider that it doesn’t matter what the Fed does – it only matters how the drivers of price react to it. I went on to explain that we don’t need to know what the Fed would do but instead how the market responds to it. And, the market may not respond the way you expect. Trying to figure out what to do next based on what you think the Fed is going to do is a tough way to make portfolio management decisions. Prior to the announcement, it seemed the worry about it was based on what they would do, but all that really matters is how the price trends evolve of the positions you hold.

Most market participants didn’t seem to expect a taper. And, if a taper were announced, most seemed to expect stock prices would decline. After all, this Quantitative Easing program has been going off and on for several years now and when they’ve stopped it, stock indexes quickly dropped 10 – 20%. You may recall those declines in 2010, 2011, and 2012. Based on that historical precedent, it seemed to suggest stocks could be expected to fall when the Fed finally begins to unwind it’s massive bond-buying program to stimulate the economy. And, at some point it could even be a very significant decline since it appears this QE program has been a driver of stock prices since the 2009 low.

Later that day, the Fed announced that it would indeed begin to “taper” its bond-buying program. Although, The Federal Reserve’s $10 billion taper announcement doesn’t seem a significant cut in the central bank’s massive bond-purchasing plan. It’s still a taper and a taper is what those who talk on TV and write about it seemed to be afraid of. In fact, I mentioned in Fear is beginning to drive stock trends that investor sentiment measures shifted to fear and prices had dropped about -3% leading up to the Fed announcement. It seemed the market had anticipated some negative news and their fear “priced it in”.

Yet, the stock market index actually rose on the announcement instead of down. Maybe they overreacted leading up to the news and prices drifted back up.

stock market rally since fed taper announcement

In the chart below, we show a chart of global market prices since the taper announcement. Clearly, most global markets actually drifted up including the S&P 500 stock index ($SPX), U.S. Dollar ($USD), Developed Country International stocks (EFA), and even Long Term U.S. Treasuries (TLT).

global market returns since fed taper announcement

Commodities like the GSCI Commodities Index (GSG) and Gold (GLD) immediately declined, since commodities and gold typically trend inversely to the U.S. Dollar. And, Emerging Markets countries (EEM) have trended down – maybe because many of them are commodity producers.

Things don’t always turn out the way you expect, so having strong expectations about what’s going to happen next can make portfolio management very difficult. In fact, having strong expectations that reach the point of convictions lead to overconfidence and ego issues that causes one to stay with their losing positions. When you stay with losing positions, hoping they’ll turn around and prove your right, you get caught in a loss trap. That’s how you lose a lot of money.

I find an edge in going with the flow, the current trend, what is actually happening. It seems if we do that, we can never be wrong for too long. It’s OK to be wrong; it’s staying on the wrong side of the trend that becomes a problem. And doing that starts with too much beliefs and expectations about what’s going to happen next and being unable to reverse it.

Flow… just go with it.

When we know in advance what we’ll do next, we don’t have to try to predict in advance what’s going to happen next.