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An Introduction to Fact-Based
Investing
The opinions voiced in this material are for general information only and are not intended to provide or be
construed as providing specific investment advice or recommendations for any individual. To determine which
investments may be appropriate for you, consult your financial advisor prior to investing. All performance
referenced is historical and is no guarantee of future results. All indices are unmanaged and cannot be invested
in directly.
This information is not intended to be a substitute for specific individualized tax advice. We suggest that you
discuss your specific tax issues with a qualified tax advisor.
Not FDIC/NCUA Insured | Not Bank/Credit Union Guaranteed | May Lose Value | Not Guaranteed by
any Government Agency | Not a Bank/Credit Union Deposit.
Optimum Wealth Management
Fact based investing may involve more frequent buying and selling of assets and will tend to generate higher
transaction costs. Investors should consider the tax consequences of moving positions more frequently.
Registered Contact Information:
Mike Cordak
Optimum Wealth Management
2033 Cresthaven Walk
Woodstock, GA 30189
678-778-2694
Disclaimer

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An Introduction to Fact-Based Investing

  • 1. An Introduction to Fact-Based Investing
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  • 48. The opinions voiced in this material are for general information only and are not intended to provide or be construed as providing specific investment advice or recommendations for any individual. To determine which investments may be appropriate for you, consult your financial advisor prior to investing. All performance referenced is historical and is no guarantee of future results. All indices are unmanaged and cannot be invested in directly. This information is not intended to be a substitute for specific individualized tax advice. We suggest that you discuss your specific tax issues with a qualified tax advisor. Not FDIC/NCUA Insured | Not Bank/Credit Union Guaranteed | May Lose Value | Not Guaranteed by any Government Agency | Not a Bank/Credit Union Deposit. Optimum Wealth Management Fact based investing may involve more frequent buying and selling of assets and will tend to generate higher transaction costs. Investors should consider the tax consequences of moving positions more frequently. Registered Contact Information: Mike Cordak Optimum Wealth Management 2033 Cresthaven Walk Woodstock, GA 30189 678-778-2694 Disclaimer

Editor's Notes

  1. “When the gates are all down and the signals are flashing And the whistle is screaming in vain; And you stay on the tracks, ignoring the facts, Well, you can’t blame the wreck on the train!” This great lyric, from a tune recorded by Don McLean called “You Can’t Blame the Train”, applies to investing just as much as it does to life in general!
  2. Today we’re going to focus purely on FACTS, as they relate to personal investing. We’re going to look at an approach we call ‘Fact-Based Investing’, and compare and contrast it to other approaches you may be familiar with already.
  3. For a very long time, many investors have felt ‘lost at sea’ for protracted stretches in their investing lives. The major averages went nowhere for nearly a decade, for example, from 2000-2009 … to say nothing of the two 50+% declines that happened along the way. Many investors have felt that their investment portfolios, represented by these pie charts, are being tossed about by whatever storm passes through the Markets … in other words, adrift, with not enough progress - owing either to a too-great equities exposure during bad times, as in our example above; or the more recent problem of too-meager an equities exposure in the markets, in the good times since then!
  4. So: How did we get to this condition? Here’s a quote from Albert Einstein that is right on target. He said, ‘The definition of insanity is doing the same thing over and over again and expecting a different result.’ Many investors have certainly been doing the same things over and over again, yet expecting a different result!
  5. The great majority of advice that investors have received for the last several decades, has been derived from: Predictions about what ‘might’ occur; and Theories about what ‘should’ occur, in the Markets.
  6. Let's look first at predictions. Predictions come in many forms, and we used four of those forms to create an acronym. Predictions, Opinions, Outlooks and Forecasts form the acronym ‘POOF’, which reminds us how dangerous predictions can be! Everywhere you turn, you can find predictions telling you - with great confidence - what the Market is going to do. From books, magazines, newspapers, TV, websites, blogs - to shoeshine boys and cab drivers - everybody has a Market prediction.
  7. Here are a couple of books that were bestsellers in 1999. The authors, with perfectly sound reasoning, predicted that the market would continuously climb higher, reaching 36,000 by 2005, and 100,000 just a few years later! Kiplinger Magazine called Dow 36,000 quote ‘Rock-Solid Investing Advice’! Many, many investors believed those predictions wholeheartedly, and invested accordingly.
  8. Predictions, Opinions, Outlooks and Forecasts - ‘POOF!’ - are embedded in practically every segment that’s broadcast on the financial-news channel CNBC. Guests on CNBC are knowledgeable, well-spoken, completely rational … and frequently wrong. Here is a sampling of what was said in 2008, when investors needed good guidance the most. Even many CEOs - who should know more than anyone about the prospects for their own companies - were tragically wrong . Supposedly-objective analysts like Larry Kudlow, in the upper right, and the Financial Times guy in the lower left, were terribly wrong. And Jim Cramer's exhortation to ‘Buy, Buy, Buy!’ - well, the best you could say about it is that it was wrong, wrong, wrong. One thing they all have in common is complete self-confidence in their predictions about what was going to happen. The other thing they all have in common is that they were completely, terribly wrong.
  9. For years, BusinessWeek magazine's last issue of the year contained a feature in which leading Market forecasters gave their predictions for the coming year. Here are their predictions for the S&P 500 for 2008, published on the very last day of 2007. In other words, these predictions were for the year that began the very next day, so it's not exactly a group of long-range predictions. In spite of that - of these 13 well-known, high-profile and highly-paid forecasters - 11 predicted a positive 2008, and some even a great 2008! One predicted a slightly-down 2008, and the most-negative prediction suggested just a modest decline, only 8%! The average prediction was for almost a 10% gain. The actual result of the S&P 500 index was -38.5%, so to say they were a bit off-the-mark is an understatement! Yet investors by the millions continue to hang on every word uttered by this elite group.
  10. Are the predictions of Market experts and forecasters usually right? Or are we picking on them by displaying a handful of rare and unusual misfires? Not according to a study reported on by the Wall Street Journal in October of 2010. Professor Phillip Tetlock, of the University of Pennsylvania, studied 20 years of predictions from 284 experts in the fields of politics and finance (which, of course, includes the Stock Market), and carefully catalogued the outcomes of a staggering 82,361 predictions. He concluded that experts are more often wrong than right, … and would have done better flipping a coin! He further found that the more degrees experts have, the more likely their predictions are to be wrong - and even worse, to stay wrong - evidently because they think so much of their own opinions, that they refuse to change them, even in the face of facts to the contrary! So, sadly, misfires in predicting - even from highly-paid experts - seem to be the rule, not the exception.
  11. John Kenneth Galbraith, who served in economic roles in Administrations from FDR to LBJ, said:‘The only function of economic forecasting is to make astrology look respectable.’
  12. Edgar Fiedler, an Assistant Secretary of the Treasury during the Carter years, had the final word on crystal balls then he said, ‘He who lives by the crystal ball, soon learns to eat ground glass.’ We could probably say, ‘Investors who believe in crystal balls will soon learn to eat ground glass.’
  13. A very wise Yiddish proverb has this to say about the futility of trying to know the future:‘Man plans, (and) God laughs.’
  14. We could modify that just a bit to say, ‘Man predicts, (and) God laughs.’
  15. So, we can safely conclude that the acronym ‘POOF’ is very appropriate for Predictions, Opinions, Outlooks and Forecasts!
  16. The other major source of investing strategies and advice are academic theories. We refer to this category of advice as ‘Theory-Based Investing.’
  17. Chief among the academic theories that drive investing advice are: The Efficient Market Hypothesis The Rational Investor Theory Modern Portfolio Theory The Efficient Frontier Strategic Asset Allocation (known to many investors as pie charts) What all of these have in common, is that each of them states what ‘ought’ to happen and how Markets and investors ‘ought’ to behave, based on theoretical models and equations.
  18. Naturally, knowing what risks you are undertaking is an essential part of any activity. But what exactly is risk, in investing? Most investors would agree that investment risk is the chance of substantial loss - like you might suffer during a Bear Market. But surprisingly, academics don’t agree with that common-sense view! The academic definition of investment risk is quite different.
  19. This chart represents the performance of two hypothetical investments. The top line is trending upward, but has experienced bigger ‘wiggles’ along the way. The bottom line is trending downward, while experiencing smaller wiggles along the way. Academics call these wiggles ‘variances’, and their statistical measurement is called ‘standard deviation.’ In academic investing theory, risk is frequently measured by standard deviation - the higher the standard deviation of an investment, the higher the risk; the lower the standard deviation, the lower the risk. Because the downward trending line on this chart has a lower standard deviation, this academic definition would imply it is ‘less risky’ - even though it is currently trending downward. And counter-intuitively, by the same definition, the top line might be considered to be more risky - and presumably less-desirable - even though it is currently trending upward! This equating of investment risk with standard deviation, seemingly at odds with the common sense perception of risk as simply the chance of losing money, has nonetheless been a major factor in the creation of millions of pie charts, the ones that have guided many investors for years. For example…
  20. For example… Here is a pie chart typical of those created in the last decade for investors intending to retire in about <20-25> years, in other words, investors now in their early 40’s. More than 70 cents of every dollar invested with this pie chart, is invested in U.S. equities. ***(backup data – not part of the spoken script)*** This allocation was taken from the Fidelity Freedom 2035 Fund (FFTHX) circa June 2005 – the midway point of the decade. Source: Fidelity Investments.
  21. Of that U.S. equity portion, almost 90 cents of every dollar put there is invested in LargeCap stocks. Only tiny little slivers of the U.S. holdings are left over for SmallCap and MidCap stocks. The reason for this huge disparity is simple: LargeCaps have a lower standard deviation than MidCaps and SmallCaps … and so programs and formulas that design the pie chart allocations, automatically give outsize portions to the allegedly ‘less risky’ slices, which are the LargeCap slices.
  22. Well, you’ve probably already guessed how that turned out! Sure enough, the supposedly lower-risk LargeCap slices, all lost money for the entire decade of 12/31/1999 to 12/31/2009. And the tiny slices given to the supposedly higher-risk MidCap and SmallCap, they made money with very nice returns for the decade. But of course, the LargeCap allocations completely overwhelmed the tiny MidCap and SmallCap allocations, resulting in a loss for the entire US equity portion of the pie - handing investors what the financial press has referred to as ‘a lost decade.’ Perhaps most surprisingly, even at the conclusion of such a decade, LargeCaps were still classed as lower-risk than MidCaps and SmallCaps, based largely on the academic notion that risk-equals-standard-deviation. Even though LargeCaps lost money for the decade – they did so with lower variance and standard deviation! ***(backup data – not part of the spoken script)***(for 12/31/99 – 12/31/09, using index data, monthly close basis)Large Cap Blend: 0.26% var, 4.65% std devLarge Cap Value: 0.24% var, 4.86% std dev Large Cap Growth: 0.25% var, 4.97% std devMid Cap Blend: 0.29% var, 5.40% std dev Small Cap Growth: 0.41% var, 6.44% std dev
  23. Another one of the most widely-followed academic theories is that diversification protects investors in declining Markets. The idea is that different types of investments will march to the beats of different drummers, and so - theoretically - while some asset classes are going down, others might be going up. This chart shows that diversification across nine non-fixed-income asset classes, works pretty well in a Bull Market, producing a very wide dispersion of returns - almost 300%, from top to bottom. Even though all these asset classes were generally uptrending, they definitely went up at different rates, providing the desired ‘diversity’ in returns.
  24. However …… in the Bear Market that followed, the dispersion of returns collapsed dramatically. The supposed benefits of diversification across these nine asset classes, just weren’t there: An almost 300% dispersion of returns during the Bull Market, shrank to a tiny 15% dispersion of returns during the Bear Market. This collapse of dispersion means that the correlation of the returns among these asset classes skyrocketed! (‘Correlation’ is the tendency of one asset class to behave like another.)This proved the wisdom of the old Wall Street adage, ‘The only thing that goes up in a down Market, is correlation!’
  25. Alan Greenspan, America’s chief economist during his 20-year tenure as Federal Reserve Chairman, was forced to admit that the academic theories underpinning his work were flawed and that he greatly underestimated the market’s ability to regulate itself and mitigate the terrible losses seen in 2008.
  26. Another well-respected economist, Professor Robert Shiller of Yale University, is leading the way in blowing big holes in some of the investing world’s dominant academic theories. He says bluntly: ‘The Efficient Markets theory represents one of the most remarkable errors in the history of economic thought.’ Since the history of economic thought goes back at least 1,000 years … that's really saying something!
  27. The Financial Crisis Inquiry Commission was established by Congress in 2009 to study and report on the causes of the recent financial crisis. The Commission interviewed billionaire investor George Soros, and the interview was short and blunt. Soros stated that the academic theories believed in by both regulators and investors, quote ‘proved to be false.’ Specifically, he blamed belief in the Efficient Market Hypothesis and the Rational Expectations Theory - not just for making the crisis worse, but for actually being the principal causes of the crisis!
  28. The Myth of the Rational Market, published in 2009, relates in great detail the origins and history of the major academic investing theories. As the title implies, the author concluded that those theories are myths. One of the surprising revelations in the book, is that academics stubbornly stuck with flawed theories, even when faced with substantial evidence to the contrary, largely because their flawed theories were mathematically model-able and nicely fit their existing equations! They seemed to prefer the neat-and-tidy models and equations that define their flawed theories, to the more messy and chaotic Market realities which might resist mathematical modeling.
  29. In summary, we have good reason to reject both Prediction-Based Investing and Theory-Based Investing. But what can we turn to instead? Is there a better way?
  30. Well, let’s revisit that great Don McLean lyric. We believe that FACTS are as useful in the Stock Market, as they are at the railroad crossing.
  31. We call our approach Fact-Based Investing, in contrast to the Prediction-Based and Academic Theory-Based methods we just looked at.
  32. Here are three major characteristics of Fact-Based Investing: First, and most importantly, there are no predictions in Fact-Based Investing. We get our marching orders instead from ‘what is’, and not from the prediction-oriented ‘what might be.’ Second, Fact-Based Investing makes no assumptions about Market ‘efficiency’ or rationality. Fact-Based Investing embraces the reality of inefficient, irrational Markets, and tries to use those characteristics to our advantage. Third, Fact-Based Investing does not remain fully-invested regardless of Bear Market circumstances.So, when the lights are flashing, the gates are down and the whistle is blowing in vain, we get the heck off of the track and out of the Market!
  33. The focus of Fact-Based Investing is entirely on careful measurements of ‘What Is’, rather than emphasizing the predictions of what ‘might’ happen tomorrow, or the theories of what ‘ought’ to happen tomorrow.
  34. We zero in on measurements that reflect the continuous tug-of-war between supply and demand. We believe that every single tick in the market - and every trend - results from imbalances in supply and demand. After all, if there were no imbalance of supply and demand, prices wouldn't budge at all! And longer-running trends are, in our view, driven by longer-term imbalances in supply and demand.
  35. From our supply and demand analysis, we arrive at two truths about the Market.
  36. The first of these truths, derived from supply and demand, is that Markets trend, and frequently trend for years at a time! Trends can occur in any time frame, from intra-day to multi-decade. The most useful trends for us are those that last from months to years at a time, commonly known as Bull Markets and Bear Markets. And the fact that Markets are irrational and prone to excesses can actually work to our advantage, because irrationality typically extends trends, both up and down.
  37. A great example of how irrationality can extend a trend occurred in the late ‘90s. On December 5, 1996, Alan Greenspan gave his famous ‘irrational exuberance’ speech to the Economics Club of Washington, D.C. In that speech, he identified U.S. tech stocks and Tokyo real estate as displaying ‘irrational exuberance’. On that day, the tech-heavy Nasdaq 100 closed at 835.80. Paying no attention to Mr. Greenspan, demand - irrational or not - powered the Nasdaq 100 to an astounding five-fold increase, before finally topping at 4,704 in March of 2000, more than three years later. At the other extreme, Bear Markets frequently go lower than rational analysis suggests, as panic-selling and other irrational get-me-the-heck-out-of-here behavior steepens the decline in a Bear Market.
  38. Here is a 115-year view of the U.S. Stock Market. It clearly shows that the Market benefits from multi-year periods of dramatically-rising prices called ‘Secular’ Bull Markets, followed by multi-year periods during which the Market suffers big hits and goes nowhere overall. These are called ‘Secular’ Bear Markets, and we are currently in one of those periods. In Secular Bull Markets, demand is clearly and conspicuously in control - whereas in Secular Bear Markets, supply and demand fight a see-saw battle, with each gaining the upper-hand for periods of time. During a Secular Bear Market, it is very difficult for a buy-and-hold investor to do well … but for Fact-Based Investing, there can be opportunities.
  39. Let's zero-in on the ‘go nowhere’ period of the current Secular Bear – the period from 2000 ‘til part-way through 2013. Even there, in a period when the S&P 500 produced no net gains for more than ten years, there were two distinct downtrends and two distinct uptrends, ranging in duration from one-and-a-half to five years each. These are called ‘Cyclical’ Bull Markets and ‘Cyclical’ Bear Markets, known popularly as simply Bull Markets and Bear Markets. Our Fact-Based Investing methodology seeks to identify and capitalize on these kinds of Bull and Bear trends, in order to profit from, at times, an otherwise-unrewarding Market.
  40. The second truth derived from supply and demand analysis applies to the selection of portfolio components. In Fact-Based Investing, the selection of portfolio-components is based upon the tendency of performance to persist. Researchers have labeled this phenomenon as ‘momentum’, and have documented its widespread existence in the Markets over a span of many decades. In his Second Law of Motion, Sir Isaac Newton said that a body in motion tends to stay in motion. Similarly, in the Stock Market, high performance has been shown to be more likely to continue than to reverse, at any given time. The same holds true for low performance. It, too, has been shown to be more likely to continue than to reverse, at any given time!
  41. Using continuous measurements of ‘what-is’, Fact-Based Investing simply selects high performers in portfolios, and excludes low performers. Fact-Based Investing makes no attempt to predict future changes or ‘the next big thing’ … instead, Fact-Based Investing relies on careful measurements of actual performance to guide portfolio construction.
  42. Our implementation of a Fact-Based Strategy requires just two kinds of tools: Tools to identify Bull and Bear trends; and Tools to identify high-performance portfolio candidates.
  43. Here is our primary tool for identifying major trends, called the Bull-Bear Indicator. The job of the Bull-Bear Indicator is to determine when a new Bull Market or a new Bear Market has emerged. Once again, this is a measurement of ‘what is’, with no predictions or academic theories involved. Our goal is to be defensive and protected in Bear Markets, and to be fully-invested during Bull Markets.
  44. The second tool of our Fact-Based Strategy seeks to identify high-performance portfolio candidates. Momentum, relative strength, rate-of-change, nearness-to-52-week-highs, and other measurements of performance characteristics, are all combined to produce rankings of portfolio candidates. High-performers are selected, low-performers are discarded, and the whole process is repeated at regular intervals, usually quarterly. This process of continuous self-renewal is intended to capture the benefits of long-term winners, without being dragged-down by the unnecessary inclusion of underperformers! Combining these two tools gives us a simple-yet-complete strategy, providing guidance on when to be defensive and when to be offensive and, when we are offensive, how to construct high-performance portfolios.
  45. Fact-Based Investing, concentrating on the ‘what is’ of Market supply and demand, rejects the ‘what might be’ of Prediction-Based Investing and the ‘what ought to be’ of Theory-Based Investing.
  46. By combining trend identification and high-performance portfolio selection, our Fact-Based Investing strategy gives us what we believe to be the best chance of achieving our twin goals: To prosper in Bulls, and To be protected from Bears.