Time frames can be arbitrary and meaningless, or very useful in defining direction

I sometimes find myself having odd conversations about arbitrary time frames. Most people pick a time frame arbitrarily, so it doesn’t’ really make sense if they don’t know what they are doing. For example, if we want to know the direction of a trend, we need to be able to determine a time frame the defines the direction. Some time frame needs to identify it as up, down, or sideways if you want to know its direction.

As I was looking at some data, I thought this would make a great observations of what I mean. It doesn’t matter what this is, just focus the fact that it’s the same exact data over the same time period (May to November), but a different time frame.

Below is a daily time frame of the data. Notice, it’s hard to see much of a trend, except their appears more activity prior to August. See a directional trend? Not really.

DAILY ASYMMETRIC RETURNS 2

Next, we observe the same data, but on a weekly time frame. Starting to see a little direction. A little more so than daily. The more recent period seems down a little relative to the prior period.

Weekly asymmetric returns

Finally, we observe the same data, but on a monthly time frame. Yes, the directional trend is now clearly down…

monthly asymmetry

Same exact data over the same exact time frame, very different observations of its direction.

Time frames can fool you and some can be completely useless. Or, they can define the direction with more clarity.

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.

With global markets in downtrends, this is a great time to listen to my interview with Michael Covel on February 19, 2015. I talked about my concepts of actively directing and controlling risk in advance. It’s now available on Youtube:

Gold Isn’t Always A Hedge or Safe Haven: Gold Stock Trends Have Been Even Worse

For several years we often heard investors suggesting to “buy gold”. We could throw in Silver here, too. They provide many theories about how gold bullion or gold stocks are a “safe haven”. I’ve written about the same assumption in Why Dividend Stocks are Not Always a Safe Haven.

In fact, the Market Vectors Gold Miners ETF website specifically says about the gold stock sector:

“A sector that has historically provided a hedge against extreme volatility in the general financial markets”.

Source: http://www.vaneck.com/gdx/

When investors have expectations about an outcome, or expect some cause and effect relationship, they expose themselves in the possibility of a loss trap. I will suggest the only true “safe haven” is cash. 

Below is a 4 year chart of two gold stock ETFs relative to the Gold ETF. First, let’s examine the index ETFs we are looking at. Of course, the nice thing about ETFs in general is they are liquid (traded like a stock) and transparent (we know what they hold).

GLD: SPDR Gold “Shares offer investors an innovative, relatively cost efficient and secure way to access the gold market. SPDR Gold Shares are intended to offer investors a means of participating in the gold bullion market without the necessity of taking physical delivery of gold, and to buy and sell that interest through the trading of a security on a regulated stock exchange.”

GDX: Market Vectors Gold Miners ETF: “The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the NYSE Arca Gold Miners Index. The fund normally invests at least 80% of its total assets in securities that comprise the Gold Miners Index. The Gold Miners Index is a modified market-capitalization weighted index primarily comprised of publicly traded companies involved in the mining for gold and silver.”

GDXJ: Market Vectors Junior Gold Miners ETF seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the Market Vectors Global Junior Gold Miners Index. The Index is intended to track the overall performance of the gold mining industry, which may include micro- and small capitalization companies.

Gold stocks vs Gold

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

Clearly, gold has not been a “safe haven” or “provided a hedge against extreme volatility in the general financial markets”. It has instead demonstrated its own extreme volatility within an extreme downward price trend.

Further, gold mining stocks have significantly lagged the gold bullion index itself.

These ETFs have allowed for the trading of gold and gold stocks, SPDR Gold explains it well:

“SPDR Gold Shares represent fractional, undivided beneficial ownership interests in the Trust, the sole assets of which are gold bullion, and, from time to time, cash. SPDR Gold Shares are intended to lower a large number of the barriers preventing investors from using gold as an asset allocation and trading tool. These barriers have included the logistics of buying, storing and insuring gold.”

However, this is a reminder that markets do not always play out as expected. The expectation of a “safe haven” or “hedge against extreme volatility” is not a sure thing. Markets may end up much worst that you imagined they could.  As many global and U.S. markets have been declining, you can probably see why I think it’s important to manage, direct, limit, and control exposure to loss. Though, not everyone does it well. It isn’t a sure thing…

______

For informational and educational purposes only, not a recommendation to buy or sell and security, fund, or strategy. Past performance and does not guarantee future results. Please click the links provide for specific risk information about the ETFs mentioned. Please visit this link for important disclosures, terms, and conditions.

The Trend of the U.S. Stock Market and Sectors Year-to-Date

As of today, the below table illustrates the year-to-date gains and losses for the S&P 500® Index (SPY) and the 9 Sector SPDRs in the S&P 500®. We observe the current and historical performance to see how the U.S. Sectors match up against the S&P 500 Index.

So far, the S&P 500 Index is down -5.68% year-to-date. Only the Consumer Discretionary (XLY) and Health Care (XLV) are barely positive for the year. Energy (XLE) has entered into its own bear market. Materials (XLB) and Utilities (XLU) are in double-digit declines.

year to date S&P 500 and sector returns 2015-09-10_11-31-05

Source: http://www.sectorspdr.com/sectorspdr/tools/sector-tracker

The trouble with a table like the one above is it fails to show us the path the return streams took along the way. To see that. below we observe the actual price trends of each sector. Not necessarily to point out any individual trend, but we can clearly see Energy (XLE) has been a bear market. I also drew a red line marking the 0% year-to-date so point out that much of this year the sectors have oscillated above and below it and most are well below it now.

year to date stock market sector trends 2015-09-10_11-32-40

Source: http://www.sectorspdr.com/sectorspdr/tools/sector-tracker

Speaking of directional price trends is always in the past, never the future. There are no future trends, today. We can only observe past trends. In fact, a trend is today or some time in the past vs. some other time in the past. In this case, we are looking at today vs. the beginning of 2015. It’s an arbitrary time frame, but still interesting to stop and look to see what is going on.

As many global and U.S. markets have been declining, you can probably see why I think it’s important to manage, direct, limit, and control exposure to loss. Though, not everyone does it well as it isn’t a sure thing…

Stock Market Decline is Broad

We typically expect to see small company stocks decline first and decline the most. The theory is that smaller companies, especially micro companies, are more risky so their value may disappear faster.  Below, we view the recent price trends of four market capitalization indexes: micro, small, mid, and mega. We’ll use the following index ETFs.

Vanguard ETFs small mid large micro cap

Since we are focused on the downside move, we’ll only observe the % off high chart. This shows what percentage the index ETF had declined off its recent highest price (the drawdown). We’ll also observe different look-back periods.

We first look back 3 months, which captures the full extent of the biggest loser: as expected, the micro cap index. The iShares Micro-Cap ETF (IWC: Green Line) seeks to track the investment results of an index composed of micro-capitalization U.S. equities. Over the past 3 months (or anytime frame we look) it is -13% below its prior high. The second largest decline is indeed the small cap index. The Vanguard Small-Cap ETF (VB: Orange Line) seeks to track the performance of the CRSP US Small Cap Index, which measures the investment return of small-capitalization stocks. The small cap index has declined -11.5%. The Vanguard Mega Cap ETF (MGC) seeks to track the performance of a benchmark index that measures the investment return of the largest-capitalization stocks in the United States and has declined -9.65%. The Vanguard Mid-Cap ETF (VO) seeks to track the performance of a benchmark index that measures the investment return of mid-capitalization stocks and has declined -9.41%. So, the smaller stocks have declined a little more than larger stocks.

Small and Micro caps lead down

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

Many active or tactical strategies may shift from smaller to large company stocks, hoping they don’t fall as much. For example, in a declining market relative strength strategies would rotate from those that declined the most to those that didn’t. The trouble with that is they may still end up losing capital and may end up positioned in the laggards long after a low is reached. They do that even though we may often observe the smallest company stocks rebound the most off a low. Such a strategy is focused on “relative returns” rather than “absolute returns“. An absolute return strategy will instead exit falling trends early in the decline with the intention of avoiding more loss. We call that “trend following” which has the objective of “cutting your losses short”. Some trend followers may allow more losses than others. You can probably see how there is a big difference between relative strength (focusing on relative trends and relative returns)  and trend following (focusing on actual price trends and absolute returns).

So, what if we look at the these stock market indexes over just the past month instead of the three months above? The losses are the same and they are very correlated. So much for diversification. Diversification across many different stocks, even difference sizes, doesn’t seem to help in declining markets on a short-term basis. These indexes combined represent thousands of stocks; micro, small, medium, and large. All of them declined over -11%, rebounded together, and are trending down together again.

stock market returns august 2015

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

If a portfolio manager is trying to “beat the market” index, he or she may focus on relative strength or even relative value (buy the largest loser) as they are hoping for relative returns compared to an index. But a portfolio manager who is focused on absolute returns may pay more attention to the actual downside loss and therefore focuses on the actual direction of the price trend itself. And, a key part is predefining risk with exits.

You can probably see how different investment managers do different things based on our objectives. We have to decide what we want, and focus on tactics for getting that.

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.

Why Dividend Stocks are Not Always a Safe Haven

We often hear that high dividend stocks are a “safe haven” in market downtrends. The theory is the yield paid from dividend stocks offset losses in their price. Another theory is that money rotates out of risky assets into those perceived to be less risky: stocks that pay high dividends tend to be older cash rich companies that pay out their cash as dividends. In theory, that sounds “safer”.

I like to point out logical inconsistencies: when beliefs contradict reality.

The above may be true in some cases and it sounds like a good story. In reality, everything changes. The universe is transient, in a constant state of flux. This impermanence, that things are constantly changing and evolving, is one of the few things we can be sure about. It’s a mistake to base too much of an investment strategy on something that has to continue to stay the same. It’s an edge to be adaptive in response to directional trends.

Below is the year-to-date chart iShares Select Dividend ETF that seeks to track the investment results of an index composed of relatively high dividend paying U.S. equities. Notice that I included both the price change by itself (blue) and the total return that includes price plus dividends (orange). The “help” from the dividend over the past six months has helped a little. The price is down -3% but factoring in the dividend leaves the index down -2.33% for the year. The 0.7% is the dividend yield so far.

What has probably gotten investors attention, however, isn’t that their dividend stocks are down over -2% for the year, but that they are down over -4% off their high. That doesn’t sound like a lot: unless you are a conservative investor expecting a “safe haven” from high dividend yielding stocks…

In contrast, the Dow Jones Industrial Average is up about 1% over the same period  – counting dividends. You may be wondering what is causing this divergence? Below is the sector holdings for the iShares Select Dividend ETF.

The position size matters and makes all the difference. Notice in the table above the Utilities, Consumer Staples, and Energy Sectors are the top holdings of the index. As you see below, the Utilities sector is down nearly -9% year-to-date, Energy and Staples are down over -1%. They are the three worst performing sectors…

Source: Created by ASYMMETRY® Observations with www.stockcharts.com 

Wondering what may be driving it? For the Utility sector it’s probably interest rates. You can read about that in What You Need to Know About Long Term Bond Trends. I prefer to rotate between sectors based on their directional price trends rather than just allocate to them with false hope they may do something they may not. 

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?

Conflicted News

This is a great example of conflicted news. Which news headline is driving down stock prices today?

Below is a snapshot from Google Finance::

conflicted news 2015-04-17_10-21-43

Trying to make decisions based on news seems a very conflicted way, which is why I instead focus on the absolute direction of price trends.

Absolute Return: an investment objective and strategy

Absolute returns investment strategy fund

Absolute Return in its basic definition is the return that an asset achieves over a certain period of time. This measure looks at the appreciation or depreciation (expressed as a dollar amount or a percentage). For example, a $50 stock drifts to $100 is a 100% absolute return. If that same stock drifts back from $100 to $50, its absolute return is -50%.

Absolute Return as an investment objective is one that does not try to track or beat an arbitrary benchmark or index, but instead seeks to generate real profits over a complete market cycle regardless of market conditions. That is, an absolute return objective of positive returns on investment over a market cycle of both bull and bear market periods irrespective of the direction of stock, commodity, or bond markets. Since the U.S. stock market has been generally in a uptrend for 6 years now, other than the -20% decline in the middle of 2011, we’ll now have to expand our time frame for a full market cycle to a longer period. That is, a full market cycle includes both a bull and a bear market.

The investor who has an absolute return objective is concerned about his or her own objectives for total return over a period and tolerance for loss and drawdowns. That is a very different objective than the investor who just wants whatever risk and return a benchmark, allocation, or index provides. Absolute returns require skill and active management of risk and exposure to markets.

Absolute return as a strategy: absolute return is sometimes used to define an investment strategy. An absolute return strategy is a plan, method, or series of maneuvers aiming to compound capital positively and to avoid big losses to capital in difficult market conditions. Whereas Relative Return strategies typically measure their success in terms of whether they track or outperform a market benchmark or index, absolute return investment strategies aim to achieve positive returns irrespective of whether the prices of stocks, bonds, or commodities rise or fall over the market cycle.

Absolute Return Investment Manager

Whether you think of absolute return as an objective or a strategy, it is a skill-based rather than market-based. That is, the absolute return manager creates his or her results through tactical decision-making as opposed to taking what the market is giving. One can employ a wide range of approaches toward an absolute return objective, from price-based trend following to fundamental analysis. In the ASYMMETRY® Managed Accounts, I believe price-based methods are more robust and lead to a higher probability of a positive expectation. Through my historical precedence, testing, and experience, I find that any fundamental type method that is based on something other than price has the capability to stray far enough from price to put the odds against absolute returns. That is, a manager buying what he or she believes is undervalued and selling short what he believes is overvalued can go very wrong if the position is on the wrong side of the trend. But price cannot deviate from itself. Price is the judge and the jury.

To create absolute returns, I necessarily focus on absolute price direction. Not relative strength, which is a rate of change relative to another moving trend. And, I focus on actual risk, not some average risk or an equation that oversimplifies risk like standard deviation.

Of course, absolute return and the “All Weather” type portfolio sound great and seem to be what most investors want, but it requires incredible skill to execute. Most investors and advisors seem to underestimate the required skills and experience and most absolute return strategies and funds have very limited and unproven track records. There is no guarantee that these strategies and processes will produce the intended results and no guarantee that an absolute return strategy will achieve its investment objective.

For an example of the application of an absolute return objective, strategy, and return-risk profile, visit http://www.asymmetrymanagedaccounts.com/

Absolute Return as an Investment Strategy

Absolute Return Investment Strategy Fund Manager

In “Absolute Return: The Basic Definition”, I explained an absolute return is the return that an asset achieves over a certain period of time. To me, absolute return is also an investment objective.

In “Absolute Return as an Investment Objective” I explained that absolute return is an investment objective is one that does not try to track or beat an arbitrary benchmark or index, but instead seeks to generate real profits over a complete market cycle regardless of market conditions. That is, it is focused on the actual total return the investor wants to achieve and how much risk the investor will willing to take, rather than a focus on what arbitrary market indexes do.

Absolute return as a strategy: absolute return is sometimes used to define an investment strategy. An absolute return strategy is a plan, method, or series of maneuvers aiming to compound capital positively and to avoid big losses to capital in difficult market conditions. Whereas Relative Return strategies typically measure their success in terms of whether they track or outperform a market benchmark or index, absolute return investment strategies aim to achieve positive returns irrespective of whether the prices of stocks, bonds, or commodities rise or fall over the market cycle.

Whether you think of absolute return as an objective or a strategy, it is a skill-based rather than market-based. That is, the absolute return manager creates his or her results through tactical decision-making as opposed to taking what the market is giving. One can employ a wide range of approaches toward an absolute return objective, from price-based trend following to fundamental analysis. In the ASYMMETRY® Managed Accounts, I believe price-based methods are more robust and lead to a higher probability of a positive expectation. Through my historical precedence, testing, and experience, I find that any fundamental type method that is based on something other than price has the capability to stray far enough from price to put the odds against absolute returns. That is, a manager buying what he or she believes is undervalued and selling short what he believes is overvalued can go very wrong if the position is on the wrong side of the trend. But price cannot deviate from itself. Price is the judge and the jury.

Of course, absolute return and the “All Weather” type portfolio sound great and seem to be what most investors want, but it requires incredible skill to execute. Most investors and advisors seem to underestimate the required skills and experience and most absolute return strategies and funds have very limited and unproven track records. There is no guarantee that these strategies and processes will produce the intended results and no guarantee that an absolute return strategy will achieve its investment objective.

For an example of the application of an absolute return objective, strategy, and return-risk profile,  visit http://www.asymmetrymanagedaccounts.com/

US Government Bonds Rise on Fed Rate Outlook?

I saw the following headline this morning:

US Government Bonds Rise on Fed Rate Outlook

Wall Street Journal –

“U.S. government bonds strengthened on Monday after posing the biggest price rally in more than three months last week, as investors expect the Federal Reserve to take its time in raising interest rates.”

My focus is on directional price trends, not the news. I focus on what is actually happening, not what people think will happen. Below I drew a 3 month price chart of the 20+ Year Treasury Bond ETF (TLT), I highlighted in green the time period since the Fed decision last week. You may agree that most of price action and directional trend changes happened before that date. In fact, the long-term bond index declined nearly 2 months before the decision, increased a few weeks prior, and has since drifted what I call “sideways”.

fed decision impact on bonds
Charts created with http://www.stockcharts.com

To be sure, in the next chart I included an analog chart including the shorter durations of maturity. iShares 3-7 Year Treasury Bond ETF (IEI) and iShares 7-10 Year Treasury Bond ETF (IEF). Maybe there is some overreaction and under-reaction going on before the big “news”, if anything.

Government bonds Fed decision reaction
Do you still think the Fed news was “new information“?

Trends, Countertrends, in the U.S. Dollar, Gold, Currencies

Trend is a direction that something is moving, developing, evolving, or changing. A trend is a directional drift, one way or another. When I speak of price trends, the directional drift of a price trend can be up, down, or sideways.

Trends trend to continue and are even more likely to continue than to reverse, because of inertia. Inertia is the resistance to change, including a resistance to change in direction. It’s an important physics concept to understand to understand price trends because inertia relates to momentum and velocity. A directional price trend that continues, or doesn’t change or reverse, has inertia. To understand directional price trends, we necessarily need to understand how a trend in motion is affected by external forces. For example, if a price trend is up and continues even with negative external news, in inertia or momentum is even more significant. Inertia is the amount of resistance to change in velocity. We can say that a directional price trend will continue moving at its current velocity until some force causes its speed or direction to change. A directional trend follower, then, wants keep exposure to that trend until its speed or direction does change. When a change happens, we call it a countertrend. A countertrend is a move against the prior or prevailing trend. A countertrend strategy tries to profit from a trend reversal in a directional trend that has moved to such a magnitude it comes more likely to reverse, at least briefly, than to continent. Even the best long-term trends have smaller reversals along the way, so countertrend systems try to profit from the shorter time frame oscillations.

“The one fact pertaining to all conditions is that they will change.”

                                    —Charles Dow, 1900

One significant global macro trend I noticed that did show some “change” yesterday is the U.S. Dollar. The U.S. Dollar has been in a smooth drift up for nearly a year. I use the PowerShares DB US Dollar Index Bullish (UUP). Below, I start with a weekly chart showing a few years so you can see it was non-trending up until last summer. Clearly, the U.S. Dollar has been trending strongly since.

u.s. dollar longer trend UPP

Next, we zoom in for a closer look. The the PowerShares DB US Dollar Index Bullish (UUP) was down about -2% yesterday after the Fed Decision. Notice that I included a 50 day moving average, just to smooth out the price data to help illustrate its path. One day isn’t nearly enough to change a trend, but that one day red bar is greater in magnitude and had heavy volume. On the one hand, it could be the emotional reaction to non trend following traders. On the other, we’ll see over time if that markets a real change that becomes a reversal of this fine trend. The U.S. Dollar may move right back up and resume it’s trend…

U.S. Dollar Trend 2015-03-19_08-21-35

chart source for the following charts: http://www.stockcharts.com

I am using actual ETFs only to illustrate their trends. One unique note about  PowerShares DB US Dollar Index Bullish Fund (Symbol: UUP) is the tax implications for currency limited partnership ETFs are subject to a 60 percent/40 percent blend, regardless of how long the shares are held. They also report on a K-1 instead of a 1099.

Why does the direction of the U.S. Dollar matter? It drives other markets. Understanding how global markets interact is an edge in global tactical trading. Below is a chart of Gold. I used the SPDR Gold Trust ETF as a proxy. Gold tends to trade the opposite of the U.S. Dollar.

gold trend 2015-03-19_08-22-41

When the U.S. Dollar is trending up, it also has an inverse correlation to foreign currencies priced in dollars. Below is the CurrencyShares Euro ETF.

Euro currency trend 2015-03-19_08-23-03

Foreign currencies can have some risk. In January, the Swiss Franc gaped up sharply, but has since drifted back to where it was. Maybe that was an over-reaction? Markets aren’t so efficient. Below is a chart of the CurrencyShares Swiss Franc to illustrate its trend and countertrend moves.

swiss franc trend 2015-03-19_08-23-23

None of this is a suggestion to buy or sell any of these, just an observation about directional trends, how they interact with each other, and countertrend moves (whether short term or long term). Clearly, there are trends…

To see how tactical decisions and understand how markets interacts results in my real performance, visit : ASYMMETRY® Managed Accounts

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

 

 

Top Traders Unplugged Interview with Mike Shell: Episode 1 & 2

Top Traders Unplugged Mike Shell ASYMMETRY Global Tactical Shell Capital Management

As I approach the 10-year milestone of managing ASYMMETRY® Global Tactical as a separately managed account, I wanted to share my recent interview with Top Traders Unplugged. Niels Kaastrup-Larsen is the host of Top Traders Unplugged in Switzerland. Niels has been in the hedge fund industry for more than twenty years, working for some of the largest hedge funds in the world. He asks a lot of outstanding questions about life and how I offer a global tactical strategy that is normally only offered in a hedged fund in a separately managed account. And with experience comes depth of knowledge, so our conversation lasted over two hours and is divided into two episodes.

Click the titles to listen.

Episode 1

Why You Don’t Want Symmetry in Investing | Mike Shell, Shell Capital Management | #71

“It’s not about trying to make all the trades a winner – it’s about having the average win be much greater than the average loss – and that is asymmetry.” – Mike Shell

Episode 2

He Adds Value to His System | Mike Shell, Shell Capital Management | #72

“In the second part of our talk with Mike Shell, we delve into the specifics of his program and why most of his clients have 100% of their investments with his firm. He discusses backtesting, risk management, and the differences between purely systematic systems and systems with a discretionary element. Listen in for an inside look at this fascinating firm.” – Niels Kaastrup-Larsen

Direct links:

Episode 1

http://toptradersunplugged.com/why-you-dont-want-symmetry-in-investing-mike-shell-shell-capital-management/

iTunes: https://itunes.apple.com/us/podcast/why-you-dont-want-symmetry/id888420325?i=335354134&mt=2

Episode 2

http://toptradersunplugged.com/when-systematic-programs-arent-fully-systematic-mike-shell-shell-capital-management/

iTunes: https://itunes.apple.com/us/podcast/he-adds-value-to-his-system/id888420325?i=335582098&mt=2

 

For more information, visit ASYMMETRY® Managed Accounts.

Mike Shell Interview 2 with Michael Covel on Trend Following

As I approach the 10-year milestone of managing ASYMMETRY® Global Tactical as a separately managed account, I wanted to share my second interview with MIchael Covel on Trend Following with Michael Covel.

Many studies show that most investors, including professionals, have poor results over a full market cycle of both bull and bear markets. That necessarily means if I am creating good results, I must be believing and doing something very different than most people. In this 33 minute conversation, Michael Covel brings it out!

This is my second interview with Michael Covel, a globally famous author of several outstanding books like “Trend Following: How Great Traders Make Millions in Up or Down Markets“. I was his 4th interview when he started doing audio interviews 3 years ago and now our 2nd follow up is episode 320! For all his hard work and seeking the truth, “Trend Following with Michael Covel” is a top-ranked podcast around the world. He is in Vietnam during our interview. In 33 minutes, we describe what a true edge really is, which is how I’ve been able to create the results I have over these very challenging 10 years. And, what investors need to know today.

To listen, click: Mike Shell Interview with Michael Covel

Or, find Episode 320 in iTunes at “Trend Following with Michael Covel

For more information about my investment program, visit ASYMMETRY® Managed Accounts.

 

Mike Shell Interview 2 with Michael Covel on Trend Following Radio

Top Traders Unplugged Interview with Mike Shell: Episode 2

Top Traders Unplugged Mike Shell ASYMMETRY Global Tactical Shell Capital Management

“In the second part of our talk with Mike Shell, we delve into the specifics of his program and why most of his clients have 100% of their investments with his firm. He discusses backtesting, risk management, and the differences between purely systematic systems and systems with a discretionary element. Listen in for an inside look at this fascinating firm.” – Niels Kaastrup-Larsen

Listen: Top Traders Unplugged Interview with Mike Shell: Episode 2

 

Direct links:

Episode 2

http://toptradersunplugged.com/when-systematic-programs-arent-fully-systematic-mike-shell-shell-capital-management/

For more information, visit ASYMMETRY® Managed Accounts.

Top Traders Unplugged Interview with Mike Shell: Episode 1

“It’s not about trying to make all the trades a winner – it’s about having the average win be much greater than the average loss – and that is asymmetry.” – Mike Shell

Does anyone recognize this guy? this is the first episode of my 2 hour interview with Niels Kaastrup-Larsen in Switzerland on “Top Traders Unplugged” who has been part of the hedge fund industry for more than twenty years, working for some of the largest hedge funds in the world.

For those unsure what a “top trader” means, my 10 year performance is at the bottom of this link: http://www.asymmetrymanagedaccounts.com/global-tactical/

I encourage you to to listen to the interview as it’s as much about life as trading. You can listen directly on the website or the podcast in iTunes. click: Mike Shell Interview with Top Traders Unplugged

Top Traders Unplugged Mike Shell Capital Management Interview

This is When MPT and VaR Get Asset Allocation and Risk Measurement Wrong

I was talking to an investment analyst at an investment advisory firm about my ASYMMETRY® Managed Account and he asked me what the standard deviation was for the portfolio. I thought I would share with you and explain this is how the industry gets “asset allocation” and risk measurement and management wrong. You see, most people have poor results over a full market cycle that includes both rising and falling price trends, like global bull and bear markets, recessions, and expansions. Quantitative Analysis of Investor Behavior, SPIVA, Morningstar, and many academic papers have provided empirical evidence that most investors (including professionals) have poor results over the long periods. For example, they may earn gains in rising conditions but lose their gains when prices decline. I believe the reason is they get too aggressive at peaks and then sell in panic after losses get too large, rather than properly predefine and manage risk.

You may consider, then, to have good results over a long period, I necessarily have to believe and do things very different than most people.

On the “risk measurement” topic, I thought I would share with you a very important concept that is absolutely essential for truly actively controlling loss. The worst drawdown “is” the only risk metric that really matters. Risk is not the loss itself. Once we have a loss, it’s a loss. It’s beyond the realm of risk. Since risk is the possibility of a loss, then how often it has happened in the past and the magnitude of the historical loss is the mathematical expectation. Beyond that, we must assume it could be even worse some day. For example, if the S&P 500 stock index price decline was -56% from 2007 to 2009, then we should expect -56% is the loss potential (or worse). When something has happened before, it suggests it is possible again, and we may have not yet observed the worst decline in the past that we will see in the future.

The use of standard deviation is one of the very serious flaws of investors attempting to measure, direct, and control risk. The problem with standard deviation is that the equation was intentionally created to simplify data. The way it is used draws a straight line through a group of data points, which necessarily ignores how far the data really spreads out. That is, standard deviation is intended to measure how far the data spreads out, but it actually fails to absolutely highlight the true high point and low point. Instead, it’s more of an average of those points. Yet, it’s the worst-case loss that we really need to focus on. I believe in order to direct and control risk, I must focus on “how bad can it really get”. Not just “on average” how bad it can get. The risk in any investment position is at least how much it has declined in the past. And realizing it could be even worse some day. Standard deviation fails to reflect that in the way it is used.

Consider that as prices trend up for years, investors become more and more complacent. As investors become complacent, they also become less indecisive as they believe the recent past upward trend will continue, making them feel more confident. On the other hand, when investors feel unsure about the future, their fear and indecisiveness is reflected as volatility as the price churns up and down more. We are always unsure about the future, but investors feel more confident the past will continue after trends have been rising and volatility gets lower and lower. That is what a peak of a market looks like. As it turns out, that’s just when asset allocation models like Modern Portfolio Theory (MPT) and portfolio risk measures like Value at Risk (VaR) tell them to invest more in that market – right as it reaches it’s peak. They invest more, complacently, because their allocation model and risk measures tell them to. An example of a period like this was October 2007 as global stock markets had been rising since 2003. At that peak, the standard deviation was low and the historical return was at it highest point, so their expected return was high and their expected risk (improperly measured as historical volatility) was low. Volatility reverses the other way at some point

What happens next is that the market eventually peaks and then begins to decline. At the lowest point of the decline, like March 2009, the global stock markets had declined over -50%. My expertise is directional price trends and volatility, so I can tell you from empirical observation that prices drift up slowly, but crash down quickly. The below chart of the S&P 500 is a fine example of this asymmetric risk.

stock index asymmetric distribution and losses

Source: chart is drawn by Mike Shell using http://www.stockcharts.com

At the lowest point after prices had fallen over -50%, in March 2009, the standard deviation was dramatically higher than it was in 2007 after prices had been drifting up. At the lowest point, volatility is very high and past return is very low, telling MPT and VaR to invest less in that asset.

In the 2008 – 2009 declining global markets, you may recall some advisors calling it a “6 sigma event”. That’s because the market index losses were much larger than predicted by standard deviation. For example, if an advisors growth allocation had an average return of 10% in 2007 based on its past returns looking back from the peak and a standard deviation of 12% expected volatility, they only expected the portfolio would decline -26% (3 standard deviations) within a 99.7% confidence level – but the allocation actually lost -40 or -50%. Even if that advisor properly informed his or her client the allocation could decline -26% worse case and the client provided informed consent and acceptance of that risk, their loss was likely much greater than their risk tolerance. When the reach their risk tolerance, they “tap out”. Once they tap out, when do they ever get back in? do they feel better after it falls another -20%? or after it rises 20%? There is no good answer. I want to avoid that situation.

You can see in the chart below, 3 standard deviations is supposed to capture 99.7% of all of the data if the data is a normal distribution. The trouble is, market returns are not a normal distribution. Instead, their gains and losses present an asymmetrical return distribution. Market returns experience much larger gains and losses than expected from a normal distribution – the outliers are critical. However, those outliers don’t occur very often: maybe every 4 or 5 years, so people have time to forget about the last one and become complacent.

symmetry normal distribution bell curve black

Source: http://en.wikipedia.org/wiki/68%E2%80%9395%E2%80%9399.7_rule

My friends, this is where traditional asset allocation like Modern Portfolio Theory (MPT) and risk measures like Value at Risk (VaR) get it wrong. And those methods are the most widely believed and used . You can probably see why most investors do poorly and only a very few do well – an anomaly.

I can tell you that I measure risk by how much I can lose and I control my risk by predefining my absolute risk at the point of entry and my exit point evolves as the positions are held. That is an absolute price point, not some equation that intentionally ignores the outlier losses.

As the stock indexes have now been overall trending up for 5 years and 9 months, the trend is aged. In fact, according to my friend Ed Easterling at Crestmont Research, at around 27 times EPS the stock index seems to be in the range of overvalued. In his latest report, he says:

“The stock market surged over the past quarter, adding to gains during 2014 that far exceed underlying economic growth. As a result, normalized P/E increased to 27.2—well above the levels justified by low inflation and interest rates. The current status is approaching “significantly overvalued.”

At the same time, we shouldn’t be surprised to eventually see rising interest rates drive down bond values at some point. It seems from this starting point that simply allocating to stocks and bonds doesn’t have an attractive expected return. I believe a different strategy is needed, especially form this point forward.

In ASYMMETRY® Global Tactical, I actively manage risk and shift between markets to find profitable directional price trends rather than just allocate to them. For more information, visit http://www.asymmetrymanagedaccounts.com/global-tactical/

 

“There is always a disposition in people’s minds to think that existing conditions will be permanent …

“There is always a disposition in people’s minds to think the existing conditions will be permanent,” Dow wrote, and went on to say: “When the market is down and dull, it is hard to make people believe that this is the prelude to a period of activity and advance. When the prices are up and the country is prosperous, it is always said that while preceding booms have not lasted, there are circumstances connected with this one, which make it unlike its predecessors and give assurance of permanency. The fact pertaining to all conditions is that they will change.”  – Charles Dow, 1900

Source: Lo, Andrew W.; Hasanhodzic, Jasmina (2010-08-26). The Evolution of Technical Analysis: Financial Prediction from Babylonian Tablets to Bloomberg Terminals (Kindle Locations 1419-1423). Wiley. Kindle Edition.

You can probably see from Dow’s quote how trends do tend to continue, just because enough people think they will. However, price trends can continue into an extreme or a “bubble” just because people think they will continue forever. I like to ride a trend to the end when it bends and then be prepared to exit when it does finally reverse, or maybe reduce or hedge off some risk when the probability seems high of a change.

idowcha001p1

Image source: Wikipedia

Charles Henry Dow; November 6, 1851 – December 4, 1902) was an American journalist who co-founded Dow Jones & Company. Dow also founded The Wall Street Journal, which has become one of the most respected financial publications in the world. He also invented the Dow Jones Industrial Average as part of his research into market movements. He developed a series of principles for understanding and analyzing market behavior which later became known as Dow theory, the groundwork for technical analysis.

The Mistake is Not Taking the Loss: Cut Your Losses and Move on

One of the keys to managing investment risk is cutting losers before they become large losses. Many people have difficulty selling at a loss because they believe it’s admitting a mistake. The mistake isn’t taking a loss, the mistake is to NOT take the loss. I cut losses short all the time, that’s why I don’t have large ones. I’ve never taken a loss that was a mistake. I predetermine my risk by determining before I even buy something at what point I’ll get out if I am wrong. If I enter at $50, my methods may determine if it falls to $45 that trend I wanted to get in is no longer in place and I should get out. So when I enter a position in any market, I know how I’ll cut my loss short before I even get in. It’s the exit, not the entry, that determines the outcome. I don’t know in advance which will be a winner or loser or how much it will gain or lose. For me, not taking the loss, would be the mistake.

I thought of this when a self-proclaimed old-timer admitted to me he still holds some of the popular stocks he bought the late 90’s. Many of those stocks are no longer in business, but below we revisit the price trend and total return of some of the largest and most popular stocks promoted in the late 90’s. The black line is Cisco Systems (CSC), Blue is AT&T (T), Red is Pfizer (PFE), and green is Microsoft (MSFT). AT&T’s roots stretch back to 1875, with founder Alexander Graham Bell’s invention of the telephone. Pfizer started in 1849 “With $2,500 borrowed from Charles Pfizer’s father, cousins Charles Pfizer and Charles Erhart, young entrepreneurs from Germany, opened Charles Pfizer & Company as a fine-chemicals business”. At one point during the late 90’s “tech bubble” Microsoft and Cisco Systems were valued more than many countries. But the chart below shows if you did buy and held these stocks nearly 20 years later you would have held losses for many years and many of them are just now showing a profit.

tech bubble leaders 2014-11-15_07-04-53

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

The lesson to cut losses short rather than allow them to become large losses came from a book published in 1923.

“Money does not give a trader more comfort, because, rich or poor, he can make mistakes and it is never comfortable to be wrong. And when a millionaire is right his money is merely one of his several servants. Losing money is the least of my troubles. A loss never bothers me after I take it. I forget it overnight. But being wrong – not taking the loss – that is what does the damage to the pocketbook and to the soul.”

-Reminiscences of a Stock Operator (1923)

If you are unfamiliar with the classic, according to Amazon:

Reminiscences of a Stock Operator is a fictionalized account of the life of the securities trader Jesse Livermore. Despite the book’s age, it continues to offer insights into the art of trading and speculation. In Jack Schwagers Market Wizards, Reminiscences was quoted as a major source of stock trading learning material for experienced and new traders by many of the traders who Schwager interviewed. The book tells the story of Livermore’s progression from day trading in the then so-called “New England bucket shops,” to market speculator, market maker, and market manipulator, and finally to Wall Street where he made and lost his fortune several times over. Along the way, Livermore learns many lessons, which he happily shares with the reader.

 

 

Small vs. Large Stocks: A Tale of Two Markets (Continued)

A quick follow up to my recent comments about the down trend in smaller company stocks in Playing with Relative Strength and Stock Market Peak? A Tale of Two Markets below is a chart and a few observations:

Rusell 2000 Small Caps vs S&P 500 large caps

Source: Bloomberg/KCG

A few observations of the trend direction, momentum, and relative strength.

  • The S&P 500 index (the orange line) of large company stocks has been  in a rising trend of higher highs and higher lows (though that will not continue forever).
  • The white line is the Russell 2000 small company index has been in a downtrend of lower highs and lower lows, though just recently you may observe in the price chart that it is at least slightly higher than its August high. But it remains below the prior two peaks over the past year. From the time frame in the chart, we could also consider it a “non-trending” and volatile period, but its the lower highs make it a downtrend.
  • The green chart at the bottom shows the relative strength between S&P 500 index of large company stocks and the Russell 2000 small company index. Clearly, it hasn’t taken all year to figure out which was trending up and the stronger trend.
  • Such periods take different tactical trading skills to be able to shift profitability. When markets get choppy, you find out who really knows what they’re doing and has an edge. I shared this changing trend back in May in Stock Market Peak? A Tale of Two Markets.

If you are unsure about the relevance of the big picture regarding these things, read Playing with Relative Strength and Stock Market Trend: reverse back down or continuation? and Stock Market Peak? A Tale of Two Markets.

 

Markets don’t always react the way investors expect, so I focus on what is actually happening

hedge fund market wizards

I noted the below question and answer between Jack Schwager and Ray Dalio in Jack’s book “Hedge Fund Market Wizards: How Winning Traders Win” (2012). Ray Dalio is the founder of Bridgewater, the largest hedge fund in the world and one of the most successful. I saved it when I read the book as a fine example that markets don’t always react the way people expect, and that is why I focus instead on what is actually happening rather than what could or should happen – but may not. Everything is very transient, coming and going, and it’s funny how some of the same kinds of things happen over and over again. As you read comments below you’ll hear it’s always a similar story, different day. 1982 was the end of a 20 year secular bear market made up of huge swings similar to the past decade and the beginning of the largest bull market on record up to 2000.

Below is Jack Schwager asking a question to Ray Dalio:

Any other early experiences stand out where the market behaved very differently from what you expected?

In 1982, we had worse economic conditions than we do right now. The unemployment rate was over 11 percent. It also seemed clear to me that Latin America was going to default on its debt. Since I knew that the money center banks had large amounts of their capital in Latin American debt, I assumed that a default would be terrible for the stock market. Then boom—in August, Mexico defaulted. The market responded with a big rally. In fact, that was the exact bottom of the stock market and the beginning of an 18-year bull market. That is certainly not what I would have expected to happen. That rally occurred because the Fed eased massively. I learned not to fight the Fed unless I had very good reasons to believe that their moves wouldn’t work. The Fed and other central banks have tremendous power. In both the abandonment of the gold standard in 1971 and in the Mexico default in 1982, I learned that a crisis development that leads to central banks easing and coming to the rescue can swamp the impact of the crisis itself.

Source: Schwager, Jack D. (2012-04-25). Hedge Fund Market Wizards (pp. 54-55). John Wiley and Sons. Kindle Edition.

All of this, everything that is happening and expected to happen, will be reflected in the directional trend and volatility of price. The directional price and range of prices (volatility) will overreact at times and under-react at others, but it will reflect what is actually going on. Because the direction and volatility of price “is” what matters.

Trend Change in Dollar, International Stocks, Gold?

Directional trends tend to persist. When a price is trending, it’s more likely to continue than to reverse. A directional trend is a drift up or down. For example, we can simply define a uptrend by observing a price chart of higher highs and higher lows. A downtrend is an observation of lower highs and lower lows. For a trading system, we need to be more precise in defining a direction with an algorithm (an equation that mathematically answers the question). The concept that directional trends tend to persist is called “momentum“. Momentum is the empirically observed tendency for rising prices to rise further. Momentum in price trends have been exploited for decades by trend following traders and its persistence is now even documented in hundreds of academic research papers. Momentum persists, until it doesn’t, so I can potentially create profits by going with the trend and then capturing a part of it.

But all trends eventually come to an end. We never know in advance when that will be, but we can determine the probability. Sometimes a trend reversal (up or down) is more likely than others. If you believe markets are efficient and instead follow a random walk, you won’t believe that. I believe trends move in one direction, then reverse, then trend again. When I look at the charts below, I see what I defined previously as “a trend”. I have developed equations and methods for defining the trend and also when they may bend at the end. More importantly, I observe them when they do bend. For example, to capture a big move in a trend, say 20% or more, we can’t get out every time it drops -2%, because it may do that many times on its way to that 20%. So, trend following means staying with the trend until it really bends. Counter-trend trading is trying to profit from the bends by identifying the change in the trend. Both are somewhat the opposite, but since my focus is these trends I observe them both.

Inertia is the resistance to change, including a resistance to change in direction. I could say then, that it takes inertia to keep a trend going. If there is enough inertia, the trend will continue. Trends will almost always be interrupted briefly by shorter term trends. For example, if you look at a monthly chart of a market first, then view a weekly chart, then a daily chart, you’ll see different dimensions of the trend and maybe left with a different observation than if you just look at one time frame.

Below I drew a monthly charge going back nearly 12 years. As you can see, the U.S. Dollar ($USD) has been “down” as much as -40% since 2002. It’s lowest point was 2008 and using my definition for trend, it’s been rising since 2008 though with a lot of volatility from 2008 to 2011. We could also say it’s been “non-trending” generally since 2005, since it has oscillated up and own since then without any meaning breakout.

All of charts are courtesy of http://www.stockcharts.com

Next we observe the weekly price trend. In a weekly chart we see the non-trending period, but ultimately over this time frame the Dollar gained 9%. The Dollar has been at a relatively low price range during this time. For those who want to understand why a trend occurs: A low currency is a reflection of the U.S. debt burden and lack of economic growth. We can only say that in hindsight. Most of the time we don’t actually know why a trend is a trend when it’s trending – and I don’t need to know.

You can probably begin to see how “the trend” is a function of “the time frame”. The most recent trend is observed in a daily chart going back less than a year. Here we see the U.S. Dollar is rising since July. I pointed out in “Interest Rates and Dollar Rising, Commodities Falling” how the Dollar is driving other markets.

The Dollar is now at a point that I mathematically expect to see it may reverse back down some. Though a trend is more likely to persist and resist change (inertia), trends don’t move straight up or down. Instead, they oscillate up and down within their larger trend. If you look at any of the price trend charts above, you’ll see smaller trends within them. It appears the Dollar is now likely to change direction at least briefly, though maybe not very much. As I mentioned in “Interest Rates and Dollar Rising, Commodities Falling”, it seems that rising interest rates are probably driving the Dollar higher. The market seems to be anticipating the Fed doing things to increase interest rates in the future. Let’s look at some other trends that seem to be interacting with the Dollar and interest rates.

The MSCI EAFE Index is an index of developed countries. You can observe the trend below. International stocks tend to decline when the Dollar rises, because this index is foreign country stocks priced in Dollars.

Below is the MSCI Emerging Markets index, which are smaller more emerging countries. MSCI includes countries like Russia, Brazil, and Mexico as “emerging”, but some may be surprised to hear they also consider China an emerging market. The recent rising Dollar (from rising rates) has been partly the driver of falling prices.

Another market that is directly impacted by the trend in the Dollar is commodities. Below we see the S&P/GSCI Commodity Index.

I am sharing observations about global macro trends and trend changes. We previously saw that the Dollar was generally in a downtrend and at a low level for years. When the Dollar is down, commodities priced in Dollars may be up. One commodity that became very popular when it was rising was Gold. When the Dollar was falling and depressed, Gold was rising. Below is a more recent price trend of gold.

I wouldn’t be surprised to see the Dollar trend to reverse back down some in the short-term and that could drive these other markets to reverse their downtrends at least briefly. Only time will tell if it does reverse in the near future and by how much.

In the meantime, let’s watch it all unfold.

Global Market Trends and Returns 3rd Quarter 2014

The end of a quarter is a popular time for investors to review what happened over the past three months. Below we review some three-month price trends to get an idea of the direction and magnitude of return streams for a wide range of world market indexes.

In the chart below, we see the U.S. Dollar ($USD) was in the strongest rising directional trend and increased smoothly. The second most increasing trend in magnitude was U.S. Long Term Treasury Bonds (TLT), though it made its move in just the past two weeks. The popular large company stock index, the Dow Jones Industrial Average ($INDU) and the broad-based bond index Barclay Aggregate Bond Index (AGG) lost a little during the quarter. Small company stocks, the Russell 2000 ($RUT), and the commodities indexes ($USD and GSG) lost over -9%. As I pointed out in “Interest Rates and Dollar Rising, Commodities Falling” interest rates started drifting up, driving up the U.S. Dollar, which then drove down many commodities. The decline in small company stocks is probably more a sign of an aging bull market in stocks.

Charts courtesy of: http://www.stockcharts.com ©StockCharts.com

Looking closer within the U.S. stock market at its individual sectors, the Healthcare and Technology sectors ended the quarter with the largest gains of around 3%. Energy was by far the largest losing sector over the past three-months with a decline of nearly -10%. Other weakness was Industrial and Utilities. That may be suggesting something about the markets anticipation of the economy.

I also include a bar chart below of the sectors for a different visual of the advance and decline within sectors. The trouble with only looking at the quarter end result is that it ignores what happened along the way. For example, in the line charts above we can see how the trends unfold.

I pointed out in “Interest Rates and Dollar Rising, Commodities Falling” that interest rates started drifting up, driving up the U.S. Dollar. When the Dollar and interest rates rise it can directly impact other markets like commodities, international stocks priced in Dollars, and interest rate sensitive markets like real estate and utilities. In the next chart I include the U.S. Dollar again to show its steady increase the past three months. Then we see that commodities like Gold (GLD), interest rate sensitive markets like Utilities (IDU), U.S. Real Estate REITs (IYR), and Mortgage REITs (REM) all declined materially. International stocks in Developed Countries (EFA) and Emerging Markets (EEM) also declined around 5 to 7%. None of these three-month price trends are permanent, but for those of us who tactically rotate between these world markets it is useful to understand how they all interact with each other.

You may notice when I speak of these trends I use past tense. The past tense is a grammatical tense whose principal function is to place an action or situation in past time. When I speak of trends, I’m always speaking of the past trend, never the future. These charts are created by looking back three months. It is not possible to draw a chart of realized trends looking forward three months. If we could do that, we would only need to do it once. If we could know for sure what just one of these trends would do in the future we could leverage a large bet, take the profit, pay the tax, and be done forever. Instead, we only have past price trends to study and draw inference from. Past data is all we have. As it turns out, that’s all I need.

 

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.

To learn more about Richard Dennis, no one tells the story like Michael Covel in The Complete Turtle Trader.

 

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.

 

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

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

Cut short your losses, let your winners run on.

– David Ricardo 1772 – 1823

Those words, today known as “The Golden Rule of Trading”, were printed in The great metropolis, Volume 2 By James Grant in 1838. To be sure what he specifically meant:

Cut your losses short let your winners run

Source: The great metropolis, Volume 2 (Google eBook)