Earnings season is tricky for momentum growth stocks

Momentum stocks are stocks that show high upside momentum in their price trend. Momentum stocks are trending not only regarding their absolute price gains but also relative strength vs. other stocks or the stock market index.

Momentum stocks are usually high growth stocks. Since momentum stocks are the strongest trending stocks, their trends are often driven by growth in sales and earnings. Growth stocks are companies that are growing earnings at a rate significantly above average. Growth stocks have high increases in earnings per share quarter over quarter, year over year, and may not pay dividends since these companies usually reinvest their strong earnings to accelerate growth.

Now that we have defined what I mean by “momentum stocks,” we can take a look at some examples of momentum stocks and their characteristics like how their prices trend.

Grubhub Inc. ($GRUB) is an online and mobile food-ordering company that connects diners with local restaurants. GrubHub is a great example today of a high momentum growth stock.  GrubHub stock has gained 24% today after smashing Wall Street’s expectations. Earnings grew 92% to 50 cents a share, marking the fifth quarter in a row of accelerating EPS growth. Revenue soared 51% to $239.7 million, a quarterly best.

Grubhub $GRUB GRUB

Before today, GrubHub stock was in a positive trend that developed a flat base since April (highlighted on the chart). GRUB had already gained 60% year to date, but after such as explosive uptrend in momentum, it trended sideways for a while.

It is earnings season, which can be tricky for the highest momentum stocks. Once a stock has already made a big move, it could already have a lot of good news expectations priced in. That concerns some momentum stock traders. In fact, I know some momentum stock traders who exit their stocks before their quarterly earnings announcements. If they had exited GrubHub, they would have missed today’s continuation of its momentum. However, they would avoid the downside of those that trend in the other direction.

I’ve been trading momentum stocks for over two decades. Over the years I’ve observed different regimes of how they act regarding trend strength and volatility. There are periods of volatility expansion and contraction and other periods when momentum is much stronger.

Volatility is how quickly and how far the price spreads out. When price trends are volatile, it’s harder to stick with them because they can move against us. We like upside volatility, but smart investors are loss averse enough to dislike downside volatility that leads to drawdowns. To understand why the smart money is loss averse, read: “Asymmetry of Loss: Why Manage Risk?“.

Strong upward trending stocks are sometimes accompanied by volatility. That’s to be expected because momentum is a kind of volatility expansion. Upward momentum, the kind we like, is an upward expansion in the range of the price – volatility.

That’s good vol.

But, strong trending momentum stocks necessarily may include some bad volatility, too. Bad volatility is the kind investors don’t like – it’s when the price drops, especially if it’s a sharp decline.

I mentioned GrubHub had gained 60% YTD. I like to point out, observe, and understand asymmetries. The asymmetry is the good and the bad, the positive and the negative, I prefer to skew them positively. What I call the Asymmetry® Ratio is a chart of the upside total return vs. the chart of the downside % off high. To achieve the gain for GrubHub, investors would have had to endure its price declines to get it. For GrubHub, the stock has declined -10% to -15% many times over the past year. It has spent much of the time off its high. To have realized all of the gains, investors had to be willing to experience the drawdowns.

grubhub stock GRUB

I point this out because yesterday I wrote “Asymmetry of Loss: Why Manage Risk?” where I discussed the mathematical basis behind the need for me to actively manage the downside risk. To achieve the significant gain, we often have to endure at least some of the drawdowns along the way. The trick is how much, and for me, that depends on many system factors.

Earnings season, when companies are reporting their quarterly earnings, is especially tricky for high momentum stocks because stocks that may be “priced for perfection” may be even more volatile than normal. Accelerating profit growth is attractive to investment managers and institutional investors because increasing profit growth means a company is doing something right and delivering exceptional value to customers. I’m more focused on the direction of the price trend – I like positive momentum. But, earnings are a driver of the price trend for stocks.

Earnings can trend in the other direction, too, or things can happen to cause concern. This information is released in quarterly reports.

Another example of a momentum stock is NetFlix. By my measures, GrubHub is a leading stock in its sector and NetFlix (NFLX) is the leader in its industry group, too, based on its positive momentum and earnings growth. As we see in the chart below, NFLX has gained 88% year to date. That’s astonishing momentum considering the broad stock market measured by the S&P 500 has gained around 5%, and its Consumer Services Sector ETF has gained 11%.

NetFlix NFLX $NFLX

However, NetFlix stock regularly declines as much as -15% as a regular part of its trend. It has fallen over -10% five times in the past year on its way to making huge gains. The latest reason for the decline was information that was released during its quarterly earnings announcement. The stock dropped sharply afterward.

netflix stock risk downside loss

But, as we see in the chart, it’s still within its normal decline that has happened five times the past year.

While some of my other momentum stock trader friends may exit their stocks during the earnings season, I instead focus more on the price trend itself. I predefine my risk in every position, so I determine how much I’ll allow a stock to trend to the downside before I exit. When a stock trends down too far, it’s no longer in a positive trend with the side of momentum we want. To cut losses short, I exit before the damage gets too large.

How much is too much? 

A hint is in the above charts.

If we want to experience a positive trend of a momentum stock, we necessarily have to give it enough room to let it do what it does. When it trends beyond that, it’s time to exit and move on. We can always re-enter it again it if trends back to the right side.

Sure, earnings season can be tricky, but for me, it’s designed into my system. I’m looking for positive Asymmetry® – an asymmetric risk/reward. What we’ve seen above are stocks that may decline as much as -15% as a normal part of their trend when they fall, but have gained over 50% over the same period.

You can probably see how I may be able to create a potentially positive asymmetric risk/reward payoff from such a trend.

 

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

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

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

 

 

 

 

 

Asymmetry of Loss: Why Manage Risk?

Asymmetry of Loss: Why Manage Risk?

Why actively manage investment risk?

Why not just buy and hold markets and ride through their large drawdowns?

Losses are asymmetric and loss compounds exponentially.

The larger the loss, the more gain is required to recover the loss to get back to breakeven.

The negative asymmetry of loss starts quickly, losses more than -20% decline start to compound against you exponentially and with a greater magnitude the larger the loss is allowed to grow.

If your investment portfolio experiences a -20% loss, it needs a 25% gain to get back the breakeven value it was before the loss.

asymmetry of loss losses asymmetric exponential

At the -30% loss level, you need a 43% gain to get it back.

Diversification is often used as an attempt to manage risk by allocating capital across different markets and assets.

Diversification and asset allocation alone doesn’t achieve the kind of risk management needed to avoid these large declines in value. Global markets can fall together, providing no protection from loss.

For example, global markets all fell during the last two bear markets 2000-2003 and 2007-2009.

global asset allocation diversification failed 2008

It didn’t matter if you had a global allocation portfolio diversified between U.S. stocks, international stocks, commodities, and real estate REITs.

Diversification can fail when you need it most, so there is a regulatory disclosure required: Diversification does not assure a profit or protect against loss.

This is why active risk management to limit downside loss is essential for investment management.

I actively manage loss by knowing the absolute point I’ll exit each individual position and managing my risk level at the portfolio level.

Active risk management, as I use it, applies tactics and systems to actively and dynamically decrease or increase exposure to the potential for loss.

My risk management systems are asymmetric risk management systems. Asymmetric risk management intends to manage risk with the objective of a positive asymmetric risk/reward.

My asymmetric risk management systems are designed to cut losses short, but also protects and manages positions with a profit.

After markets trend up for a while without any significant interruption, investors may become complacent and forget the large damage losses can cause to their capital and their confidence. When investors lose confidence in the markets, they tap-out when their losses are allowed to grow to large.

I prefer to stop the loss before it gets too large. How much is too large depends on the client, but also the math. As seen here, I have a mathematical basis for believing I should actively manage investment risk.

It’s why I’ve been doing it for two decades. Because I understood the math, I knew I had to do it over twenty years ago and developed the systems and tactics that proved to be robust in the devastating bear markets I’ve executed through since then.

 

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

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

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

Does Your Firm Use Active ETFs?

Christi Shell was recently asked by ETF.com “Does your firm use active ETFs”.

Christi Shell Capital Management

Her answer from the interview:

Our portfolio manager, Mike Shell, doesn’t currently include active ETFs in our universe of tradeable ETFs, but that doesn’t mean he’d never include them. He tactically shifts between ETFs, based on investor behavioral measures and supply/demand. So our portfolio management style itself is the active management; we are, essentially, actively managing beta.

We use ETFs to gain specific exposure to a return stream such as a sector, country, commodity or currency. With an index ETF, we pretty much know what we’re going to get inside the ETF. (Of course, indexes are reconstituted by a committee of people, so we don’t know in advance what they’ll do. However, an index follows some general rules systematically.)

Therefore, if we discover an ETF we believe has a strategy and return stream that we want access to, then we would add it, whether it’s active or not.

Christi Shell is Managing Director and Certified Wealth Strategist® at Shell Capital Management LLC. Christi has 27 years in financial services ranging from bank management to wealth management giving her a unique skill set and experience to help clients get what they want.

Source: http://www.etf.com/publications/etfr/does-your-firm-use-active-etfs

Is it a stock pickers market?

Is it a stock pickers market?

Sometimes the stock market is trending so strongly that the rising tide lifts all boats. No matter what stocks or stock fund you invest in, it goes up. That was the case much of 2017.

Then, there are periods when we see more divergence.

When we observe more divergence, it means stocks, sectors, size, or style has become uncorrelated and are trending apart from each other.

I pointed out in Sector Trends are Driving Equity Returns; there is a notable divergence in sector performance, and that is driving divergence in size and style. Growth stocks have been outperformance value, and it’s driven by strong momentum in Technology and Consumer Discretionary sectors.

When specific sectors are showing stronger relative momentum, we can either focus more on those sectors rather than broad stock index exposure. Or, we can look inside the industry to find the leading individual stocks.

For example, Consumer Discretionary includes industries like automobiles and components, consumer durables, apparel, hotels, restaurants, leisure, media, and retailing are primarily represented in this group. The Index includes Amazon, Home Depot, Walt Disney, and Comcast. Consumer Discretionary is the momentum leader having trended up 9.7% so far this year as the S&P 500 has only gained just under 1%.

momentum sectors

If we take a look inside the sector, we see the leaders are diverging farther away from the sector ETF and far beyond the stock market index.

momentum stocks consumer discretionary sector NFLX AMZN AAPL

In fact, all the sectors 80 stock holdings are positive in 2018.

The Consumer Discretionary sector is about 13% of the S&P 500. As you can see, if these top four or five sectors in the S&P 500 aren’t trending up it is a drag on the broad stock index.

ETF Sector Allocation exposure S&P 500

So, Is it a stock pickers market? 

When we see more divergence, it seems to be a better market for “stock pickers” to separate the winners from the losers.

Another way to measure participation in the market is through quantitative breadth indicators. Breadth indicators are a measure of trend direction “participation” of the stocks. For example, the percent of the S&P 500 stocks above or below a moving average is an indication of the momentum of participation.

Below is the percent of stocks above their 50 day moving average tells us how many stocks are trending above their moving average (an uptrend). Right now, the participation is symmetrical; 52% of the stocks in the S&P 500 are in a positive trend as defined by the 50 day moving average. We can also see where that level stands relative to the stock market lows in February and April and the all-time high in January when over 85% of stocks were in an uptrend. By this measure, only half are trending up on a shorter term basis.

SPX SPY PERCENT OF STOCKS ABOVE 50 DAY MOVING AVERAGE 1 YEAR

The 200-day moving average looks back nearly a year to define the direction of a trend, so it takes a greater move in momentum to get the price above or below it. At this point, the participation is symmetrical; 55% of stocks are above their 200-day moving average and by this time frame, it hasn’t recovered as well from the lows. The percent of stocks above their 200-day moving average is materially below the 85% of stocks that were participating in the uptrend last year. That is, 30% fewer stocks are in longer trend uptrends.

SPY SPX PERCENT OF STOCKS ABOVE 200 DAY MOVING AVERGAGE 1 YEAR

In the above charts, I only showed a one-year look back of the trend. Next, we’ll take a step back to view the current level relative to the past three years.

The percent of stocks above their 50 day moving average is still at the upper range of the past three years. The significant stock market declines in August-September 2015 and December-January hammered the stocks down to a very washed out point. During those market declines, the participation was very asymmetric: 90% of the stocks were in downtrends and only about 10% remained in shorter-term uptrends.

SPX SPY PERCENT OF STOCKS ABOVE 50 DAY MOVING AVERAGE 3 YEARS

The percent of stocks above their 200 day moving average also shows a much more asymmetrical situation during the declines in 2015 and 2016 when the stock index dropped around -15% or more. Only 20% of stocks remained in a positive trend.

SPX PERCENT OF STOCKS ABOVE 200 DAY MOVING AVERAGE 3 YEARS

Is it a stock pickers market?

Only about half of the stocks in the index are in uptrends, so the other half isn’t. So, if we avoid the half that are in downtrends and only maintains exposure to stocks in uptrends and the trends continue, we can create alpha.

But, keep in mind, that doesn’t necessarily mean we should have any exposure at all in the S&P 500 stock index because happens to have the highest sector exposure in the leading sectors.

But, for those who want to engage in “stock picking”, the timing has a higher probability now to diverge from the stock index than last year because so fewer stocks are in uptrends and more are in downtrends.

For individual stocks traders willing to look inside the box, this is a good thing.

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

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

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

Commodities are trending with better momentum than stocks

Commodities are trending with better momentum than stocks

Commodities are trending with better momentum than stocks over the past year.

A commodity is a raw material or primary agricultural product that can be bought and sold, such as copper or coffee. A commodity is a basic good used in commerce that are usually used as inputs in the production of other goods or services.

Soft commodities are goods that are grown, such as wheat, or rice.

Hard commodities are mined. Examples include gold, helium, and oil.

Energy commodities include electricity, gas, coal, and oil. Electricity has the particular characteristic that it is usually uneconomical to store, and must, therefore, be consumed as soon as it is processed.

The Commodity Trend

At first glance, we see in the chart commodities ETF Invesco DB Commodity Index Tracking ETF has trended meaningfully above the popular S&P 500 index of U. S. stocks. The relative outperformance is clear over this one-year time frame. Commodities, as measured by this ETF, are in an absolute positive trend and registering relative momentum.

Commodity ETF trend following commodites natural resources $GNR $GSG $DBC

Examining a price trend is incomplete without also considering its downside. On the downside, I look at the % off high drawdowns over the period. We see that commodities were more volatile than stocks before 2018 with four dips around -4%. Since the stock market -10% decline that started in February, commodities declined, too, but not as much as U. S. stocks.

asymmetry ratio commodity drawdown

Looking back at the trend chart, I added a simple trend line to show that communities are trending directionally better than the popular U. S. stock index. So, my quantitative Global Tactical Rotation®  system that ranks an unconstrained global universe of markets including bonds, stocks, commodities, currencies, and other alternatives like real estate signaled this trend has been generating asymmetric risk/return.

commodity ETF trend commodities

What is the that Invesco DB Commodity Index Tracking ETF? (the bold emphasis is mine)

The Invesco DB Commodity Index Tracking Fund seeks to track changes, whether positive or negative, in the level of the DBIQ Optimum Yield Diversified Commodity Index Excess Return™ (DBIQ Opt Yield Diversified Comm Index ER) plus the interest income from the Fund’s holdings of primarily US Treasury securities and money market income less the Fund’s expenses. The Fund is designed for investors who want a cost-effective and convenient way to invest in commodity futures. The Index is a rules-based index composed of futures contracts on 14 of the most heavily traded and important physical commodities in the world. The Fund and the Index are rebalanced and reconstituted annually in November.

This Fund is not suitable for all investors due to the speculative nature of an investment based upon the Fund’s trading which takes place in very volatile markets. Because an investment in futures contracts is volatile, such frequency in the movement in market prices of the underlying futures contracts could cause large losses. Please see “Risk and Other Information” and the Prospectus for additional risk disclosures. Source: Invesco

The challenge for some investors, however, is that Invesco DB Commodity Index Tracking ETF generates a K-1 tax form for tax reporting. That isn’t a terrible issue, but it means instead of receiving the typical 1099 investors receive a K-1. Some investors aren’t familiar with a K-1, and they can obtain them later than a 1099.

Then, there may be other investors who simply prefer not to own futures for the reason in the second paragraph of the above discription: “Because an investment in futures contracts is volatile, such frequency in the movement in market prices of the underlying futures contracts could cause large losses.” In reality, all investments have risk and stocks can have just as much risk of “large losses” as commodity futures, but it’s a matter of investor preference and perception.

Since we have a wide range of investor types who invest in my ASYMMETRY® Investment Program I could gain my exposure to commodities in other ways. For example, the SPDR® S&P® Global Natural Resources ETF often has a similar return stream as ETFs like DBC that track a commodity futures index, except is actually invests in individual stocks instead.

Key features of the SPDR® S&P® Global Natural Resources ETF

  • The SPDR® S&P® Global Natural Resources ETF seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of the S&P® Global Natural Resources Index (the “Index”)

  • Seeks to provide exposure to a number of the largest market cap securities in three natural resources sectors – agriculture, energy, and metals and mining

  • Maximum weight of each sub-index is capped at one-third of the total weight of the Index

Below we see the price trend of this ETF of global natural resources stocks has been highly correlated to an ETF of commodities futures.

global natural resources ETF replacement for commodity ETF no K1

In fact, as we step the time frame out to the common inspection date of each ETF in 2011, the SPDR® S&P® Global Natural Resources ETF has actually outperformed Invesco DB Commodity Index Tracking ETF overall in terms of relative momentum.

commodity ETF global natural resources trend following no K1

The bottom line is, commodities “stuff” is trending up over the past two years and when the price of “stuff” is rising, that is called “inflation”.  Commodities and global natural resources have been in a downtrend for so long it shouldn’t be a surprise to see this trend reverse up. Only time will tell if it will continue, but if we want exposure to it, we can predefine our risk by deciding at what price I would exit if it doesn’t, and let the trend unfold.Mike Shell is the Founder and Chief Investment Officer of Shell Capital Management, LLC, and the portfolio manager of ASYMMETRY® Global Tactical.You can follow ASYMMETRY® Observations by click on on “Get Updates by Email” on the top right or follow us on Twitter.The observations shared in this material are for general information only and are not intended to provide specific advice or recommendations for any individual. Investing involves risk including the potential loss of principal an investor must be willing to bear. Past performance is no guarantee of future results.Buying and Selling ETFsETFs are flexible and easy to trade. Investors buy and sell them like stocks, typically through a brokerage account. Investors can also employ traditional stock trading techniques; including stop orders, limit orders, margin purchases, and short sales using ETFs. They are listed on major US Stock Exchanges.

ETFs are subject to risk similar to those of stocks including those regarding short-selling and margin account maintenance. Ordinary brokerage commissions apply. In general, ETFs can be expected to move up or down in value with the value of the applicable index. Although ETF shares may be bought and sold on the exchange through any brokerage account, ETF shares are not individually redeemable from the Fund. Investors may acquire ETFs and tender them for redemption through the Fund in Creation Unit Aggregations only. Please see the prospectus for more details. After-tax returns are calculated based on NAV using the historical highest individual federal marginal income tax rates and do not reflect the impact of state and local taxes. Actual after-tax returns depend on the investor’s tax situation and may differ from those shown. The after-tax returns shown are not relevant to investors who hold their fund shares through tax-deferred arrangements such as 401(k) plans or individual retirement accounts. Performance of an index is not illustrative of any particular investment. It is not possible to invest directly in an index. As with all stocks, you may be required to deposit more money or securities into your margin account if the equity, including the amount attributable to your ETF shares, declines. Unless otherwise noted all information contained herein is that of the SPDR S&P Global Natural Resources ETF. S&P – In net total return indices, the dividends are reinvested after the deduction of withholding tax. Tax rates are applied at the country level or at the index level.

 

 

The Starting Point Matters

For long term investors who buy and hold, the risk/reward expectations are sometimes very, very, simple.

If you bought the long term U.S. Treasury index via the iShares 20+ Year Treasury Bond ETF (Symbol: TLT) about 12 years ago your yield is around 5% and the total return has been 100%.

Keep in mind, the total return is price appreciation + interest (or yield).

At this starting point, if you are buying it today, your yield is 2.6%… so the expected future total return from the yield is half.

Bond Return Rising Rates

Clearly, the expected total return for bonds is much lower today than just over 10 years ago.

Since the yield is lower, the risk/reward payoff isn’t as positive. The lower yield limits the upside for price appreciation.

There may be times this long term U.S. Treasury is the place to be and times it isn’t.

But over a longer expectation, it’s much less attractive than it was.

No market or security performs well in all conditions, so traditional allocation often holds positions with a negative risk/return profile.

You can probably see why I think it’s critical to be unconstrained and flexible rather than a fixed allocation that ignores the current condition.

Actively Managing Investment Risk

The global market declines in early August offered a fine example of the kind of conditions that cause me to exit my long positions and end up in cash. For me, this is a normal part of my process. I predefine my risk in each position, so I know my risk across the portfolio. For example, I know at what point I’ll sell each position if it falls below a certain point in which I would consider it a negative trend. Since I know my exit in advance for each position, I knew in advance how much I would lose in the portfolio if all of those exits were reached due to market price movements trending against me. That allowed me to control how much my portfolio would lose from its prior peak by limiting it to my predefined amount. I have to take ‘some’ risk in order to have a chance for profits. If I took no risk at all, there could be no profit. The key for me is to take my risk when the reward to risk is asymmetric. That is, when the probability for a gain is much higher than the probability for a loss.

The concept seems simple, but actually doing it isn’t. All of it is probabilistic, never a sure thing.  For example, prices sometimes move beyond the exit point, so a risk control system has to account for that possibility.  More importantly, the portfolio manager has to be able to actually do it. I am a trigger puller. To see the results of over 10 years of my actually doing this, you can visit ASYMMETRY® Managed Accounts.

 

 

Using the Month of September to Understand Probability and Expectation

probabilty-coin-flip

September is the month when the U.S. stock market’s three most popular indexes usually perform the poorest. So say the headlines every September.

I first wrote this in September 2013 after many commentators had published information about the seasonality of the month of September. Seasonality is the historical tendency for certain calendar periods to gain or lose value. However, when commentators speak of such probabilities, they rarely provide a clear probability and almost never the full mathematical expectation.  Without the mathematical expectation, probability alone is of little value or no value. I’ll explain why.

For those of us focused on actual directional price trends it may seem a little silly to discuss the historical probability of gain or loss for a single month. However, even though I wouldn’t make decisions based on it, we can use the seasonal theme to explain the critical importance of both probability and mathematical expectation.

“From 1928-2012 the S&P 500 was up 39 months and down 46 months in September. It is down 55% of the time in September…”

“Dow Jones Industrial Average 1886-2004 (116 years) 49 years the Dow was up in September, in 67 years the Dow was down in September. It’s down 58% of the time in September…”

Those are probability statements. But they say nothing about how much it was up or down.

First, let’s define probability.

Probability is likelihood. It is a measure or estimation of how likely it is that something will happen or that a statement is true. Probabilities are given a range of value between 0% chance (it will not happen) and 100% chance (it will happen). There are few things so certain as 0% and 100%, so most probabilities fall in between. The higher the degree of probability, the more likely the event is to happen, or, in a longer series of samples, the greater the number of times such event is expected to happen.

But that says nothing about how to calculate probability and apply it. One thing to realize about probability is that it is the math for dealing with uncertainty. When we don’t know an outcome, it is uncertain. It is probabilistic, not a sure thing. Probability provides us our best estimation of the outcome.

As I see it, there are two ways to calculate probability: subjectively and objectively.

Subjective Probability: assigns a likelihood based on opinions and confidence (degree of belief) in those opinions. It may include “expert” knowledge as well as experimental data. For example, the majority of the research and news is based on “expert opinion”. They may state their belief and then assign a probability: “I believe the stock market has a X% chance of going down.” They may go on to add a good sounding story to support their hypothesis. You may see how that is subjective.

Objective Probability: assigns a likelihood based on numbers. Objective probability is data-driven. The popular method is frequentist probability: the probability of a random event means the relative frequency of occurrence of an experiment’s outcome when the experiment is repeated. This method believes probability is the relative frequency of outcomes over the long run. We can think of it as the historical tendency of the outcome. For example, if we flip a fair coin, its probability of landing on heads is 50% and tails is 50%. If we flip it 10 times, it could land on heads 7 and tails 3. That outcome implies 70%/30%. To prove the coin is “fair” (balanced on both sides), we would need to flip it more times to get a large enough sample size to realize the full probability. If we flip it 30 times or more it is likely to get closer and closer to 50%/50%. The more frequency, the closer it gets to its probability. You may see see why I say this is more objective: it’s based on actual historical data.

If you are a math person and logical thinker, you may get this. I have a hunch many people don’t like math, so they’d rather hear a good story. Rather than checking the stats on a game, they’d rather hear some guru’s opinion about who will win.

Which has more predictive power? An expert opinion or the fact that historically the month of September has been down more often than it’s up? Predictive ability needs to be quantified by math to determine if it exists and opinions are often far too subjective to do that. We can do the math based on historical data and determine if it is probable, or not.

As I said in September is statistically the worst month for the stock market the data shows it is indeed statistically significant and does indeed have predictive ability, but not necessarily enough to act on it. Instead, I suggest it be used to set expectations of what may happen: the month of September has historically been the worst performance month for the stock indexes. So, we shouldn’t be surprised if it ends in the red. It’s that simple.

Theory-driven researchers want a cause and effect story to go with their beliefs. If they can’t figure out a good reason behind the phenomenon, they may reject it even though the data is what it is. One person commented to me that he didn’t believe the September data has predictive value, even though it does, and he provided nothing to disprove it. Probabilities do need to make sense. Correlations can occur randomly, so logical reasoning behind the numbers may be useful. For example, one theory for a losing September is it is the fiscal year end of many mutual funds and fund managers typically sell losing positions before year end to realize losses to offset gains.

I previously stated a few different probabilities about September: what percentage of time the month is down. In September is statistically the worst month for the stock market I didn’t mention the percent of time the month is negative, only that on average it’s down X% since Y. It occurred to me that most people don’t seem to understand probability and more importantly, the more complete equation of expectation.

Expectation

There are many different ways to define expectation. We may initially think of it as “what we expect to happen”. In many ways, it’s best not to have expectations about the future. Our expectations may not play out as we’d hoped. If we base our investment decisions on opinion and expectations don’t pan out, we may stick with our opinion anyway and eventually lose money. The expectation I’m talking about is the kind that I apply: mathematical expectation.

So far, we have determined probability of September based on how many months it’s down or up. However, probability alone isn’t enough information to make a logical decision. First of all, going back to 1950 using the S&P 500 stock index, the month of September is down about 53% of the time and ends the month positive about 47% of the time. That alone isn’t a huge difference, but what makes it more meaningful is the expectation. When it’s down 53% of the time, it’s down -3.8% and when it’s up 47% of the time it’s up an average of 3.3%. That results in an expected value of -0.50% for the month of September. If we go back further to 1928, which includes the Great Depression, it’s about  -1.12%.

The bottom line is the math says “based on historical data, September has been the worst month for the stock market”. We could then say “it can be expected to be”. But as I said before, it may not be! And, another point I have made is the use of multiple time frames for looking at the data, which is a reminder that by intention: probability is not exact. It can’t be, it’s not supposed to be, and doesn’t need to be! Probability and expectation are the maths of uncertainty. We don’t know in advance many outcomes in life, but we can estimate them mathematically and that provides a sound logic and a mathematical basis for believing what we do.

We’ve made a whole lot of the month of September, but I think it made for a good opportunity to explain probability and expectation that are the essence of portfolio management. It doesn’t matter so much how often we are right or wrong, but instead the probability and the magnitude. Asymmetric returns are created by more profit, less loss. Mathematical expectation provides us a mathematical basis for believing a method works, or not. Not knowing the future; it’s the best we have.

Rather than seasonal tendencies, I prefer to focus on the actual direction of global price trends and directly manage the risk in individual my positions.

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Why Index ETFs Over Individual Stocks?

A fellow portfolio manager I know was telling me about a sharp price drop in one of his positions that was enough to wipe out the 40% gain he had in the stock. Of course, he had previously told me he had a quick 40% gain in the stock, too. That may have been his signal to sell.  Biogen, Inc (BIIB) recently declined about -30% in about three days. Easy come, easy go. Below is a price chart over the past year.

Biogen BIIB

Source: Shell Capital Management, LLC created with http://www.stockcharts.com

Occasionally investors or advisors will ask: “Why trade index ETFs instead of individual stocks?“. An exchange-traded fund (ETF) is an investment fund traded on stock exchanges, much like stocks. Until ETFs came along the past decade or so, gaining exposure to sectors, countries, bond markets, commodities, and currencies wasn’t so easy. It has taken some time for portfolio managers to adapt to using them, but ETFs are easily tradable on an exchange like stocks. Prior to ETFs, those few of us who applied “Sector Rotation” or “Asset Class Rotation” or any kind of tactical shifts between markets did so with much more expensive mutual funds. ETFs have provided us with low cost, transparent, and tax efficient exposure to a very global universe of stocks, bonds, commodities, currencies, and even alternatives like REITs, private equity, MLP’s, volatility, or inverse (short). Prior to ETFs we would have had to get these exposures with futures or options. I saw the potential of ETFs early, so I developed risk management and trend systems that I’ve applied to ETFs that I would have previously applied to futures.

On the one hand, someone who thinks they are a good stock picker are enticed to want to get more granular into a sector and find what they believe is the “best” stock. In some ways, that seems to make sense if we can weed out the bad ones and only hold the good ones. It really isn’t so simple. I view everything a reward/risk ratio, which I call asymmetric payoffs. There is a tradeoff between the reward/risk of getting more detailed and focused in the exposure vs. having at least some diversification, such as exposure to the whole sector instead of just the stock.

Market Risk, Sector Risk, and Stock Risk

In the big picture, we can break exposures into three simple risks (and those risks can be explored with even more detail). We’ll start with the broad risk and get more detailed. Academic theories break down the risk between “market risk” that can’t be diversified away and “single stock” and sector risk that may be diversified away.

Market Risk: In finance and economics, systematic risk (in economics often called aggregate risk or undiversifiable risk) is vulnerable to events which affect aggregate outcomes such as broad market declines, total economy-wide resource holdings, or aggregate income. Market risk is the risk that comes from the whole market itself. For example, when the stock market index falls -10% most stocks have declined more or less.

Stock and Sector Risk: Unsystematic risk, also known as “specific risk,” “diversifiable risk“, is the type of uncertainty that comes with the company or industry itself. Unsystematic risk can be reduced through diversification. If we hold an index of 50 Biotech stocks in an index ETF its potential and magnitude of a  large gap down in price is less than an individual stock.

You can probably see how holding a single stock like Biogen  has its own individual risks as a single company such as its own earnings reports, results of its drug trials, etc. A biotech stock is especially interesting to use as an example because investing in biotechnology comes with a unique host of risks. In most cases, these companies can live or die based on results of drug trials and the demand for their existing drugs. In fact, the reason Biogen declined so much is they reported disappointing second-quarter results and lowered its guidance for the full year, largely because of lower demand for one of their drugs in the United States and a weaker pricing environment in Europe. That is a risk that is specific to the uncertainty of the company itself. It’s an unsystematic risk and a selection risk that can be reduced through diversification. We don’t have to hold exposure to just one stock.

With index ETFs, we can gain systematic exposure to an industry like biotech or a sector like healthcare or a broader stock market exposure like the S&P 500. The nice thing about an index ETF is we get exposure to a basket of stocks, bond, commodities, or currencies and we know what we’re getting since they disclose their holdings on a daily basis.

ETFs are flexible and easy to trade. We can buy and sell them like stocks, typically through a brokerage account. We can also employ traditional stock trading techniques; including stop orders, limit orders, margin purchases, and short sales using ETFs. They are listed on major US Stock Exchanges.

The iShares Nasdaq Biotechnology ETF objective seeks to track the investment results of an index composed of biotechnology and pharmaceutical equities listed on the NASDAQ. It holds 145 different biotech stocks and is market-cap-weighted, so its exposure is more focused on the larger companies. It therefore has two potential disadvantages: it has less exposure to smaller and possibly faster growing biotech stocks and it only holds those stocks listed on the NASDAQ, so it misses some of the companies that may have moved to the NYSE. According to iShares we can see that Biogen (BIIB) is one of the top 5 holdings in the index ETF.

iShares Biotech ETF HoldingsSource: http://www.ishares.com/us/products/239699/ishares-nasdaq-biotechnology-etf

Below is a price chart of the popular iShares Nasdaq Biotech ETF (IBB: the black line) compared to the individual stock Biogen (BIIB: the blue line). Clearly, the more diversified biotech index has demonstrated a more profitable and smoother trend over the past year. And, notice it didn’t experience the recent -30% drop that wiped out Biogen’s price gain. Though some portfolio managers may perceive we can earn more return with individual stocks, clearly that isn’t always the case. Sometimes getting more granular in exposures can instead lead to worse and more volatile outcomes.

IBB Biotech ETF vs Biogen Stock 2015-07-29_10-34-29

Source: Shell Capital Management, LLC created with http://www.stockcharts.com

The nice thing about index ETFs is we have a wide range of them from which to research and choose to add to our investable universe. For example, when I observe the directional price trend in biotech is strong, I can then look at all of the other biotech index ETFs to determine which would give me the exposure I want to participate in the trend.

Since we’ve observed with Biogen the magnitude of the potential individual risk of a single biotech stock, that also suggests we may not even prefer to have too much overweight in any one stock within an index. Below I have added to the previous chart the SPDR® S&P® Biotech ETF (XBI: the black line) which has about 105 holdings, but the positions are equally-weighted which tilts it toward the smaller companies, not just larger companies.  As you can see by the black line below, over the past year, that equal weighting tilt has resulted in even better relative strength. However, it also had a wider range (volatility) at some points. Though it doesn’t always work out this way, you are probably beginning to see how different exposures create unique return streams and risk/reward profiles.

SPDR Biotech Index ETF XBI IBB and Biogen BIIB 2015-07-29_10-35-46

Source: Shell Capital Management, LLC created with http://www.stockcharts.com

In fact, those who have favored “stock picking” may be fascinated to see the equal-weighted  SPDR® S&P® Biotech ETF (XBI: the black line) has actually performed as good as the best stock of the top 5 largest biotech stocks in the iShares Nasdaq Biotech ETF.

SPDR Biotech vs CELG AMGN BIIB GILD REGN

Source: Shell Capital Management, LLC created with http://www.stockcharts.com

Biotech indexes aren’t just pure biotech industry exposure. They also have exposures to the healthcare sector. For example, iShares Nasdaq Biotech shows about 80% in biotechnology and 20% in sectors categorized in other healthcare industries.

iShares Nasdaq Biotech ETF exposure allocation

Source: www.ishares.com

The brings me to another point I want to make. The broader healthcare sector also includes some biotech. For example, the iShares U.S. Healthcare ETF is one of the most traded and includes 23.22% in biotech.

iShares Healthcare Index ETF exposure allocation

Source: https://www.ishares.com/us/products/239511/IYH?referrer=tickerSearch

It’s always easy to draw charts and look at price trends retroactively in hindsight. If we only knew in advance how trends would play out in the future we could just hold only the very best. In the real world, we can only identify trends based on probability and by definition, that is never a sure thing. Only a very few of us really know what that means and have real experience and a good track record of actually doing it.

I have my own ways I aim to identify potentially profitable directional trends and my methods necessarily needs to have some level of predictive ability or I wouldn’t bother. However, in real world portfolio management, it’s the exit and risk control, not the entry, the ultimately determines the outcome. Since I focus on the exposure to risk at the individual position level and across the portfolio, it doesn’t matter so much to me how I get the exposure. But, by applying my methods to more diversified index ETFs across global markets instead of just U.S. stocks I have fewer individual downside surprises. I believe I take asset management to a new level by dynamically adapting to evolving markets. For example, they say individual selection risk can be diversified away by holding a group of holdings so I can efficiently achieve that through one ETF. However, that still leaves the sector risk of the ETF, so it requires risk management of that ETF position. They say systematic market risk can’t be diversified away, so most investors risk that is left is market risk. I manage both market risk and position risk through my risk control systems and exits. For me, risk tolerance is enforced through my exits and risk control systems.

The performance quoted represents past performance and does not guarantee future results. Investment return and principal value of an investment will fluctuate so that an investor’s shares, when sold or redeemed, may be worth more or less than the original cost. Current performance may be lower or higher than the performance quoted, and numbers may reflect small variances due to rounding. Standardized performance and performance data current to the most recent month end may be obtained by clicking the “Returns” tab above.

The Volatility Index (VIX) is Getting Interesting Again

In the last observation I shared on the CBOE Volatlity index (the VIX) I had been pointing out last year the VIX was at a low level and then later started trending up. At that time, many volatility traders seemed to think it was going to stay low and keep going lower – I disagreed. Since then, the VIX has remained at a higher average than it had been – up until now. You can read that in VIX® gained 140%: Investors were too complacent.

Here it is again, closing at 12.45 yesterday, a relatively low level for expected volatility of the S&P 500 stocks. Investors get complacent after trends drift up, so they don’t price in so much fear in options. Below we observe a monthly view to see the bigger picture. The VIX is getting down to levels near the end of the last bull market (2007). It could go lower, but if you look closely, you’ll get my drift.

Chart created by Shell Capital with: http://www.stockcharts.com

Next, we zoom in to the weekly chart to get a loser look.

Chart created by Shell Capital with: http://www.stockcharts.com

Finally, the daily chart zooms in even more.

Chart created by Shell Capital with: http://www.stockcharts.com

The observation?

Options traders have priced in low implied volatility – they expect volatility to be low over the next month. That is happening as headlines are talking about stock indexes hitting all time highs. I think it’s a sign of complacency. That’s often when things change at some point.

It also means that options premiums are generally a good deal (though that is best determined on an individual security basis). Rather than selling premium, it may be a better time to buy it.

Let’s see what happens from here…

My 2 Cents on the Dollar

The U.S. Dollar ($USD) has gained about 20% in less than a year. We observe it first in the weekly below. The U.S. Dollar is a significant driver of returns of other markets. For example, when the U.S. Dollar is rising, commodities like gold, oil, and foreign currencies like the Euro are usually falling. A rising U.S. Dollar also impacts international stocks priced in U.S. Dollar. When the U.S. Dollar trends up, many international markets priced in U.S. Dollars may trend down (reflecting the exchange rate). The U.S. Dollar may be trending up in anticipation of rising interest rates.

dollar trend weekly 2015-04-23_16-04-40

Chart created by Shell Capital with: http://www.stockcharts.com

Now, let’s observe a shorter time frame- the daily chart. Here we see an impressive uptrend and since March a non-trending indecisive period. Many trend followers and global macro traders are likely “long the U.S. Dollar” by being long and short other markets like commodities, international stocks, or currencies.

dollar trend daily 2015-04-23_16-05-04

Chart created by Shell Capital with: http://www.stockcharts.com

This is a good example of understanding what drives returns and risk/reward. I consider how long the U.S. Dollar I am and how that may impact my positions if this uptrend were to reverse. It’s a good time to pay attention to it to see if it breaks back out to the upside to resume the uptrend, or if it instead breaks down to end it. Such a continuation or reversal often occurs from a point like the blue areas I highlighted above.

That’s my two cents on the Dollar…

How long are you? Do you know?

Asymmetric Nature of Losses and Loss Aversion

Loss Aversion:

“In prospect theory, loss aversion refers to the tendency for people to strongly prefer avoiding losses than acquiring gains. Some studies suggest that losses are as much as twice as psychologically powerful as gains. Loss aversion was first convincingly demonstrated by Amos Tversky and Daniel Kahneman.”

For most people, losing $100 is not the same as not winning $100. From a rational point of view are the two things the same or different?

Most economists say the two are the same. They are symmetrical. But I think that ignores some key issues.

If we have only $10 to eat on today and that’s all we have, if we lose it, we’ll be in trouble: hungry.

But if we have $10 to eat on and flip a coin in a bet and double it to $20, we may just eat a little better. We’ll still eat. The base rate: survival.

They say rationally the two are the same, but that isn’t true. They aren’t the same. The loss makes us worse off than we started and it may be totally rational to feel worse when we go backward than we feel good about getting better off. I don’t like to go backward, I prefer to move forward to stay the same.

Prospect Theory, which found people experience a loss more than 2 X greater than an equal gain, discovered the experience of losses are asymmetric.

Actually, the math agrees.

You see, losing 50% requires a 100% gain to get it back. Losing it all is even worse. Losses are indeed asymmetric and exponential on the downside so it may be completely rational and logical to feel the pain of losses asymmetrically. Experience the feeling of loss aversions seems to be the reason a few of us manage investment risk and generate a smoother return stream rather than blow up.

To see what the actual application of asymmetry to portfolio management looks like, see: Shell Capital Management, LLC.

 

asymmetry impact of loss

Asymmetric Sector Exposure in Stock Indexes

When you look at the table below and see the sector exposure percents, what do you observe? Do these allocations make sense?

asymmetric sector ETF expsoure S&P 500 2015-03-24_16-39-11

That is the sector exposure of the S&P 500 stock index: I used the iShares S&P 500 ETF for a real-world proxy. The source of each image is the index website on iShares, which you can see by clicking on the name of the index ETF.

  • Asymmetric is an imbalance. That is, more of one thing, less of another.
  • A sector is a specific industry, like Energy (Exxon Mobil) or Telecom (Verizon).
  • Exposure is the amount of the position size or allocation.

Most of the sector exposure in the S&P 500 large company stock index is Technology, Financials, Healthcare, and Consumer Discretionary. Consumer Staples, Energy, Materials, Utilities, and Telecommunications have less than 10% exposure each. Exposure to Materials, Utilities, and Telecommunications are almost non-existent. Combined, those three sectors are less than 10% of the index. Industrial has 10% exposure by itself.  But this index is 500 large companies, what about mid size and small companies?

asymmetric sector expsoure S&P 500 2015-03-24_16-39-11

Below is the iShares Core S&P Mid-Cap ETF. Most of the sector exposure in the S&P Mid size stock index is Technology, Financials, Industrial. Healthcare, and Consumer Discretionary. Consumer Staples, Energy, Materials, Utilities, and Telecommunications have less than 10% exposure each. Exposure to Materials, Utilities, and Telecommunications are almost non-existent.

asymmetric sector exposure  S&P Mid-Cap ETF

We see this same asymmetric sector exposure theme repeat in the iShares S&P Small Cap index. Half of the sectors are make up most of the exposure, the other very little.

asymmetric sector exposure S&P small cap

This is just another asymmetric observation… the next time you hear someone speak of the return of a stock index, consider they are really speaking about the return profile of certain sectors. And, these sector weightings may change over time.

Diversification Alone is No Longer Sufficient to Temper Risk…

That was the lesson you learned the last time stocks became overvalued and the stock market entered into a bear market.

In a Kiplinger article by Fred W. Frailey interviewed Mohamed El-Erian, the PIMCO’s boss, (PIMCO is one of the largest mutual fund companies in the world) he says “he tells how to reduce risk and reap rewards in a fast-changing world.” This article “Shaking up the Investment Mix” was written in March 2009, which turned out the be “the low” of the global market collapse.

It is useful to revisit such writing and thoughts, especially since the U.S. stock market has since been overall rising for 5 years and 10 months. It’s one of the longest uptrends recorded and the S&P 500 stock index is well in “overvalued” territory at 27 times EPS. At the same time, bonds have also been rising in value, which could change quickly when rates eventually rise. At this stage of a trend, asset allocation investors could need a reminder. I can’t think of a better one that this:

Why are you telling investors they need to diversify differently these days?

The traditional approach to diversification, which served us very well, went like this: Adopt a diversified portfolio, be disciplined about rebalancing the asset mix, own very well-defined types of asset classes and favor the home team because the minute you invest outside the U.S., you take on additional risk. A typical mix would then be 60% stocks and 40% bonds, and most of the stocks would be part of Standard & Poor’s 500-stock index.

This approach is fatigued for several reasons. First of all, diversification alone is no longer sufficient to temper risk. In the past year, we saw virtually every asset class hammered. You need something more to manage risk well.

But, you know, they say a picture is worth a thousand words.

Since we are talking about downside risk, something that is commonly hidden when only “average returns” are presented, below is a drawdown chart. I created the drawdown chart using YCharts which uses total return data and the “% off high”. The decline you see from late 2007 to 2010 is a dradown: it’s when the investment value is under water. Think of this like a lake. You can see how the average of the data wouldn’t properly inform you of what happens in between.

First, I show PIMCO’s own allocation fund: PALCX: Allianz Global Allocation Fund. I include an actively managed asset allocation that is very large and popular with $55 billion invested in it: MALOX: BlackRock Global Allocation. Since there are many who instead believe in passive indexing and allocation, I have also included DGSIX: DFA Global Allocation 60/40 and VBINX: Vanguard Balanced Fund. As you can see, they have all done about the same thing. They declined about -30% to -40% from October 2007 to March 2009. They also declined up to -15% in 2011.

Vanguard DFA BlackRock PIMCO Asset Allcation

Charts are courtesy of http://ycharts.com/ drawn by Mike Shell

Going forward, the next bear market may be very different. Historically, investors consider bond holdings to be a buffer or an anchor to a portfolio. When stock prices fall, bonds haven’t been falling nearly as much. To be sure, I show below a “drawdown chart” for the famous actively managed bond fund PIMCO Total Return and for the passive crowd I have included the Vanguard Total Bond Market fund. Keep in mind, about 40% of the allocation of the funds above are invested in bonds. As you see, bonds dropped about -5% to -7% in the past 10 years.

PIMCO Total Return Bond Vanguard Total Bond

Charts are courtesy of http://ycharts.com/ drawn by Mike Shell

You may have noticed the end of the chart is a drop of nearly -2%. Based on the past 10 years, that’s just a minor decline. The trouble going forward is that interest rates have been in an overall downtrend for 30 years, so bond values have been rising. If you rely on bonds being a crutch, as on diversification alone, I agree with Mohamed El-Erian the Chief of the worlds largest bond manager:

“…diversification alone is no longer sufficient to temper risk. In the past year, we saw virtually every asset class hammered. You need something more to manage risk well.”

But, don’t wait until AFTER markets have fallen to believe it.

Instead, I apply active risk management and directional trend systems to a global universe of exchange traded securities (like ETFs). To see what that looks like, click: ASYMMETRY® Managed Accounts

Sectors Showing Some Divergence…

So far, U.S. sector directional price trends are showing some divergence in 2015.

Rather than all things rising, such divergence may give hints to new return drivers unfolding as well as opportunity for directional trend systems to create some asymmetry by avoiding the trends I don’t want and get exposure to those I do.

Sector ETF Divergence 2015-03-04_11-24-54

For more information about ASYMMETRY®, visit: http://www.asymmetrymanagedaccounts.com/global-tactical/

 

Chart source: http://www.finviz.com/groups.ashx

 

 

The Holiday Party: Mindset of the Active Risk Manager

holiday parties

I keep hearing of symptoms of this awful virus going around. I’ll spare you of the details, but it involves both ends around the porcelain bowl. We’ve all been there, done that, and probably consider it a “bad outcome”.

Then, we have all these holiday party plans to spend time with friends and family, knowing this ‘bug’ is contagious and spreading. Hearing about it, the natural mindset of the active risk manager is to ask:

“Has anyone at the party had the flu recently?”

You wonder if you’re entering into a high risk of a bad outcome. Most people may not even consider it, and it’s those people who will probably be there spreading it around! I know people who never consider the possibility of a bad outcome; they tend to be the ones who have the worst outcomes, more often. Others may be overly afraid of things that may never happen, so they miss out on life. Some even worry about things they fear so much they experience those things, even when they don’t happen.

The active risk manager internally thinks of risk.

Let’s first use the dictionary to better understand the meaning of “active”:

1. engaged in action; characterized by energetic work, participation, etc.; busy: an active life.

2. being in a state of existence, progress, or motion:

3. involving physical effort and action :active sports.

4. having the power of quick motion; nimble: active as a gazelle.

5. characterized by action, motion, volume, use, participation, etc.

So, let’s say that to be active is to be engaged in action, participate, an active life, progress, nimble, motion, and even a state of existence.

Risk is exposure to the possibility of a bad outcome. When we are speaking of money, risk is the exposure to the possibility of loss. If we incur a loss, that isn’t a risk, that’s an actual loss. Some people believe that uncertainty is risk, but we always have uncertainty. So, risk is the exposure to a chance or possibility of loss. It’s the exposure that is the risk, the chance or possibility is always there. So, your risk of loss is your choice. We decide it in advance.

To manage is to take charge of, handle, direct, govern, or control through action.

A bad outcome in money management may be losing money, or in life it may be anything we perceive as unwanted. We can’t be certain about an outcome. Uncertainty is something we live with every day and in all things, so we may as well embrace it and enjoy not knowing the outcome of things in advance. So, risk is the exposure to a chance or possibility of loss. It’s the exposure that is the risk, the chance or possibility is always there. So, your risk of loss is your choice. We decide it in advance.

So, an active risk manager, like me, is someone who engages in the action of actively and intentionally directing and controlling the exposure to a bad outcome. Because I actively management my risks, I am able to trade and invest in things other people perceive as risky, but they aren’t to me because I define my risk exposure and control it. Because active risk management is not only a learned skill I have advanced for myself but also something that is a natural part of me and who I am, I am also able to live my life enjoying and even embracing change and uncertainty. Yet, I do that initially and naturally thinking of what my risk is. Once I understand my risk, I manage it, and then accept it for what I’ve decided it will be, and then I let it all unfold as it will. I control what I can and let the rest do what it’s going to do.

You see, it’s also a big risk to not experience life. Studies show that happiness is more driven by new experiences than any other thing. Hedonic Adaptation means that we tend to get used to things and adapt, good or bad. Broadening our horizons makes and keeps us happy, doing the same old things leads to a dull and less happy life. Much of our happiness comes from new experiences and change, because we get used to even the finest and fastest new car and eventually it becomes our new normal.

Although I feel a strong obligation to keep myself well, I’m not going to miss spending time with people I enjoy. Instead, I’ll take my chances and deal with, and actively manage, any bad outcome that arises from it. So, consider your risks, then get out there and enjoy yourself with new experiences. Even if you get sick for a few days, that too shall eventually pass.

Merry Christmas!

Tony Robbins on Asymmetrical Risk Reward

Just last week I posted my article Asymmetrical Risk Definition and Symmetry: Do you Really Want Balance? about asymmetric risk reward and how we want imbalance between profit and loss, not balance. That is, we want asymmetry, not symmetry. Tony Robbins has a new book out, mentioning the very concept of asymmetric risk and asymmetric payoffs. I’ve always been a big fan of Tony.

Richard Feloni interviews Tony Robbins about his first new book in over 20 years, “MONEY Master the Game: 7 Simple Steps to Financial Freedom,”. In an article in Business Insider titled “Tony Robbins Reveals What He’s Learned From Financial Power Players Like Carl Icahn And Ray Dalio”.

Below is a piece of the interview of Robbins explaining he learned about asymmetric risk reward, which used a link to ASYMMETRY® Observations for the definition of asymmetrical risk reward.

“You’ve gotta be obsessed because you know when you lose 50%, you have to make 100% to get even.

[Warren Buffett’s advice mentioned in the book] came from Ben [Graham], his teacher. It’s, “What’s rule number one in investing? Never lose money. What’s rule number two? Don’t forget rule number one.”

That would be boring if that was the only universal piece besides the other one, which I find fascinating, was that they’re not giant risk takers, most of them. They believe in asymmetrical risk reward. It simply means they take the smallest risk possible for the largest return possible.

The average person goes out and invests a dollar hoping to make 10% or 20%, if they’re lucky — so if they’re wrong they’re in the hole majorly. Paul Tudor Jones [had a principle he used to use] called 5:1. And 5:1 is this: If he invests a dollar, he doesn’t part with that dollar he’s investing unless he feels certain he’s going to make five. He knows — he’s not stupid — he knows he’s going to be wrong [sometimes] so if he loses a dollar and has to spend another dollar, spending two to make five, he’s still up $3. He can be wrong four out of five times and still be in great shape.

Most everybody thinks that if I want to get big rewards I need to take huge risks. But if you keep thinking that, you’re gonna be broke.”

Asymmetrical Risk Definition and Symmetry: Do you Really Want Balance?

Asymmetric is imbalance, uneven, or not the same on both sides.

Risk is the possibility of losing something of value, or a bad outcome. The risk is the chance or potential for a loss, not the loss itself. Once we have a loss, the risk has shifted beyond a possibility to a real loss. The investment or position itself isn’t the risk either, risk is the possibility we may lose money in how we manage and deal with it.

Asymmetrical Risk, then, is the potential for gains and losses on an investment or trade are uneven.

When I speak of asymmetric risk, I may also refer to the probability for gains and losses that are imbalanced, for those of us who can determine probability. If the probability of losing something or a bad outcome is asymmetric, it means the risk isn’t the same as the reward.

Asymmetric risk can also refer to the outcome for profits and losses that are imbalanced, after we have sold a position, asset, or investment.

Some examples:

If we risk $10, but earn $10, the risk was symmetrical.

  • We risked $10
  • We earned $10 – we just broke even (symmetry).

Symmetry is the outcome when you balance risk and reward.

If we risk $10, but earn $20, the risk was positively asymmetric.

  • We risked $10
  • We earned $20

If we risk $10, but lose $10, the risk was symmetrical.

  • We risked $10
  • We lost $10 – we lost the same as we risked.

If we risk $10, but lose $20, the risk was an asymmetric risk.

  • We risked $10
  • We lost $20 – we lost even more than we though we risked.

Strangely, I often hear investment advisers say they want to balance risk and reward through their asset allocation.

Do you?

It was when I noticed my objective of imbalancing profit and loss, risk and reward, was so different from others that I knew I have a unique understanding and perception of the math and I could apply it to portfolio management.

You can probably see how some investors earn gains for years, then lose those gains in the following years, then earn gains again, then lose them again.

That’s a result of symmetry and its uncontrolled asymmetrical risk.

You can probably see why my focus is ASYMMETRY® so deeply that the word is my trademark.

VIX® gained 140%: Investors were too complacent

Several months ago I started sharing some of my observations about the VIX ( CBOE Volatility Index). The VIX had gotten to a level I considered low, which implied to me that investors were too complacent, were expecting too low future volatility, and option premiums were generally cheap. After the VIX got down to levels around 11 and 12 and then started to move up, I pointed out the VIX seemed to be changing from a downward longer term trend to a rising trend.

As I was sharing my observations of the directional trend and volatility of VIX that I believed was more likely to eventually go up than down, it seemed that most others were writing just the opposite. I know that many volatility traders mostly sell volatility (options premium), so they prefer to see it fall.

As you can see in the chart below, The VIX has increased about 140% in just a few weeks.

VIX october

Chart courtesy of http://www.stockcharts.com

For those who haven’t been following along, you may consider reading the previous observations:

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

Asymmetric VIX

VIX Shows Volatility Still Low, But Trending

VIX Back to Low

The VIX is Asymmetric, making its derivatives an interesting hedge

Is the VIX an indication of fear and complacency?

What does a VIX below 11 mean?

What does the VIX really represent?

The VIX, my point of view

The VIX, as I see it…

Volatility Risk Premium

Declining (Low) Volatility = Rising (High) Complacency

Investors are Complacent

 

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

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.

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.

My INVESTOR’S BUSINESS DAILY® Interview and Portfolio Management

Portfolio Management is about buying and selling many different positions over time, not just one “pick”. I often say it’s like flipping 10 coins at the same time with each having a different payoff and profit or loss. It could be a completely random process (like flipping a coin), but if we can positively skew the payoffs (asymmetric payoffs) we end up with more profit than loss (asymmetric returns). And, as a portfolio manager I may flip that coin 100 or 500 times a year. The fact is: if the expectation for profit is positive we want to do it as often as possible.

Picking just one position is like flipping the coin just once. Its outcome may have an expected probability and payoff that is positive, but will be determined by how it all unfolds. We can never control the outcome at the point of entry. It’s the exit that always determines the outcome. We can say that same whether we are speaking of stocks, bonds, commodities, and currencies or buying and selling private businesses: if you actually knew for sure the outcome would be positive you would only need to do it once – but you don’t. So deciding what to buy is a small part of my complete portfolio management process. It’s what I do after I’m in a position that makes it “management”. To manage is to direct and control. If all you do is “buy” or “invest” in a position, you have no position “management”.

But when Trang Ho at INVESTOR’S BUSINESS DAILY®recently asked me “What ‘s the one position you would choose over the next several months and why”, I gave her the first position I thought of – and the most recent position I had taken. I primarily get positioned with the current direction of the trend and stay with it until it changes. That may be labeled “trend following”. I define the direction of the trend (up, down, sideways) and then get in that direction until it changes. Trends don’t last forever. There is a point when the probability becomes higher and higher of a reversal. I call that a “counter-trend”. I developed systems that define these directional trends more than a decade ago and have operated them for-profit since. What I can tell you from my experience, expertise, and empirical evidence is that stock market trends, like many other market trends, cycle up and down over time. So, portfolio management is a daily routine of position management that includes predefining risk at the point of entry, taking profits, and knowing when to exit to keep losses small. That exit, not the entry, determines the outcome.

You may consider these things as you read my recent interview in Investors Business Daily titled: Market Strategists: 5 Contrarian ETF Investing Ideas.

Read More At Investor’s Business Daily: http://news.investors.com/investing-etfs/090613-670234-contrarian-etf-investing-ideas-stock-market-strategists.htm#ixzz2gNp8bWUT

Asymmetric Payoff: The Price of College Sports

Schooled- The Price of College Sports

Not all asymmetric payoffs are fair. As the college football season gets into full speed, college sports gets some unwanted publicity. It was sickening to hear Arian Foster say:

“I called my coach and I said, ‘Coach, we don’t have no food. We don’t have no money. We’re hungry. Either you give us some food, or I’m gonna go do something stupid.’ He came down and he brought like 50 tacos for like four or five of us. Which is an NCAA violation. [laughs] But then, I walk up to the facility and I see my coach pull up in a brand new Lexus.” — Arian Foster

It’s sickening not so much because the coach broke the rules by feeding a player, but instead that someone who works as hard as a student athlete is sitting there hungry in the United States of America. And, while the college sports “industry” earns billions of dollars in profits. You surely don’t have to be a hardcore Libertarian to see the problem with that. It’s no surprise that many college athletes don’t have financial support from their family. It’s time for universities to focus on how to at least be sure student athletes have food and decent living conditions. I think they earn it.

 

The conversation will get started when the documentary Schooled: The Price of College Sports premieres Wednesday October 16th 8PM on EPIX:

“The EPIX Original Documentary Schooled: The Price of College Sports is a comprehensive look at the business, history and culture of big-time college football and basketball in America. It is an adaptation of “The Cartel” by Pulitzer Prize Winning civil rights scholar Taylor Branch, and his October 2011 article in The Atlantic, “The Shame of College Sports.” Schooled presents a hard-hitting examination of the NCAA’s treatment of its athletes and amateurism in collegiate athletics; weaving interviews, archival and verité footage to tell a story of how college sports became a billion dollar industry built on the backs of athletes who are deprived of numerous rights.”

Read more: Schooled: The Price of College Sports

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