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Why The S&P 500 Is Likely To Revisit The Correction Lows Near 1870

In spite of the Fed’s decision to refrain from a borrowing cost hike, SPY’s price movement strongly suggests the ultra-accommodating policy of zero percent interest rates may be inadequate. We’re likely heading back to the recent low point for the current year. The reality is that our recovery is stalling and has been since the end of the Fed’s quantitative easing stimulus. In Selling The Drama Or Buying The Rally (8/27), I delineated the way in which 10%-plus price corrections had unfolded under similar circumstances in history (e.g., 1998, 2010, 2011, etc.). Specifically, when the prospects for the global economy are deteriorating, U.S. stock benchmarks typically reclaim about one-half of their losses on “hope rallies.” Afterwards, they retest their lows. The most recent example of the price movement phenomenon is the eurozone crisis. In late July/early August of 2011, the S&P 500 SPDR Trust ETF (NYSEARCA: SPY ) plunged 16% due to fears surrounding economic malaise and financial credit concerns in Portugal, Italy, Greece and Spain. The popular ETF then recovered one-half (nearly 8%) of its price decline in late August/September before revisiting new lows in early October. At that point, the European Central Bank (ECB) and the Federal Reserve dropped market-moving hints about extraordinary stimulus measures, effectively ending the panicky price depreciation. In the same vein, the present corrective phase for SPY stopped short at roughly 12%. The popular ETF then retraced about one-half of the price erosion (6%) on two recent occasions. And now, in spite of the Federal Reserve’s decision to refrain from a borrowing cost hike (probably for 2015 in its entirety), SPY’s price movement strongly suggests that the ultra-accommodating policy of zero percent interest rates may be inadequate; that is, we’re likely heading back to the recent low point of the current year. Shouldn’t the Fed’s September decision to hold off any increases in borrowing costs have catapulted the U.S. stock market higher? Shouldn’t we have seen speculative buying demand for riskier assets like high yield bonds and growth stocks? Not when the U.S. has been contending with a sharp slowdown in exports, manufacturing activity as well as consumer sentiment. Not when the Atlanta Fed forecasts anemic GDP of 1.5% for the third quarter. And not when chairwoman Janet Yellen acknowledges the absence of wage inflation as well as the the presence of labor troubles via the labor participation rate. Prior to the rapid-fire declines for the Dow, S&P 500 and Nasdaq in mid-August, I detailed these economic concerns in extraordinary detail. I highlighted the dreadful manufacturing data in the Philly Fed Survey as well the Empire State Manufacturing Survey in 15 Warning Signs Of A Market Top . On, July 30th, I pointed to economic weakness in both the U.S. and across every region of the globe as being one of 5 reasons to lower one’s allocation to riskier assets . Going into yesterday’s (9/17) monumental Fed decision, traders had been positioning themselves for further delay on an increase in borrowing costs. They got it. And yet, they got more than they had bargained for. Not only did the Fed highlight weakness in the global economy as a potential threat to the domestic economy, but they shot down the notion of so many economists and analysts that the U.S. economy is standing on “terra firma.” For amusement, revisit what the overwhelming majority of journalists and media personalities had been saying about the strength of the U.S. economy. After, glance at the analysis and commentary a day later. The chief economist at Natixis Asset Management explained that the Fed’s decision not to act demonstrates that committee members of the central bank clearly think that the U.S. economy is “very weak.” Oh really? Now the economy is very weak? Or how about Dan Veru, chief investment officer at Palisade Capital Management, explaining that the Fed doesn’t want to be responsible for possibly unraveling a “fragile recovery.” Fragile recovery? After six-and-and-a-half years? Wasn’t this the great U.S. expansion that was perfectly capable of a modest move away from the emergency level zero bound? Sometimes, the truth hurts. The reality is that our recovery is stalling and has been since the end of the Fed’s quantitative easing stimulus. This truth is painful for everyday Americans. The fact that corporate sales and earnings growth are both on the decline also stings because, absent a more definitive Fed commitment to zero rate policy or more stimulus or a sloth-like token hike, riskier assets are likely to struggle. In essence, at certain correction levels, the Federal Reserve tends to take certain actions and/or make certain statements to boost market confidence. That level for the S&P 500 is near 1870. Obviously, I cannot know that the S&P 500 will revisit 1870, but I believe it is far more probable than not. Let me repeat. I anticipate the broader S&P 500 retesting the lows of the current correction, though it is impossible for any person to predict the direction of stock assets. For those moderate growth/income investors that have been emulating the tactical asset allocation that I do for actively managed clients, we are maintaining the lower risk profile of 50% equity (mostly large-cap domestic), 25% bond (mostly investment grade) and 25% cash/cash equivalents. This has been the case since we began reducing risk exposure in June-July. The typical target allocation for moderate growth/income of 65%-70% stock (e.g., large, small, foreign, domestic) and 30% income (e.g., investment grade, high yield, short, long, etc.) will not be reestablished until market internals and fundamentals show signs of improvement. Popular holdings for the 50% equity component? We have ETFs like iShares S&P 500 (NYSEARCA: IVV ), iShares USA Minimum Volatility (NYSEARCA: USMV ), SPDR Select Health Care (NYSEARCA: XLV ) and Vanguard Mid Cap Value (NYSEARCA: VOE ). Funds like USMV and VOE have weathered the storm better than many of the leading market-cap-weighted benchmarks. Disclosure : Gary Gordon, MS, CFP is the president of Pacific Park Financial, Inc., a Registered Investment Adviser with the SEC. Gary Gordon, Pacific Park Financial, Inc, and/or its clients may hold positions in the ETFs, mutual funds, and/or any investment asset mentioned above. The commentary does not constitute individualized investment advice. The opinions offered herein are not personalized recommendations to buy, sell or hold securities. At times, issuers of exchange-traded products compensate Pacific Park Financial, Inc. or its subsidiaries for advertising at the ETF Expert web site. ETF Expert content is created independently of any advertising relationships.

Why Comparing Returns Is A Bad Way To Choose An Investment Manager

Summary Short-term or recent returns give little information about future returns, and they increase the odds you’ll make a bad decision. Far too often, investors put significant weight on short-term performance, in many cases by choosing the investment with the highest recent investment return. This tends to actually produce future underperformance. The better way to choose an investment manager is to look at service, fit, and investor returns. The greatest trick the stock market ever pulled was convincing investors that historical returns are predictive. They aren’t. In fact, historical returns not only give you very little information about future returns, but they can also increase the odds you’ll make a bad decision. We often see this bias in investors. Both reporters and prospective customers often ask us, “What are your returns?” I cringe when I hear this. Out of all the questions you should be asking, this one should be low on the list. There are far more informative and useful questions to ask, once you know what’s in our portfolio . To be fair, there are aspects of the answer that can be helpful. Returns can give you an idea of the size of upswings and drawdowns, and how the portfolio relates to other asset classes. But in a passive, index-tracking portfolio, such as Betterment’s, you shouldn’t expect to see market alpha in our performance. When properly benchmarked, we are the benchmark. The other common mistake people make is comparing our portfolio to another over a short period of time. If, after six months, our portfolio has a lower return, they’ll often ask, “Why should I use you if your returns are worse?” Far too often, investors put too much weight on small sample, recent historical performance, choosing the investment with the highest investment return. How deceptive can this be? Our interactive tool below shows that this method leads to astonishingly high odds that they’ll underperform both in absolute and risk-adjusted terms in the future. How the Data Deceives You might not realize it, but when you look at historical returns, you’re doing a statistical analysis. Any set of historical returns comprises a sample of behavior over a certain period. Any inferences you make about what they tell you of the future should be balanced by placing them into context of how variable they are. And when you do that, two clear issues arise. Fooled by Randomness The first is being “fooled by randomness,” a phrase coined by Nicholas Nassim Taleb, a risk analyst and statistician. When you choose the highest returning of two correlated investments using a small sample of historical data, the odds are incredibly high that you picked the wrong fund. The randomness of small samples overwhelms the truth. Let’s work through some examples. We’ll use hypothetical portfolios with return probabilities we know for certain, because we’ve created them through simulation, and see how well the short-term data mimics the long-term truth. These are not Betterment portfolios. Portfolio A will have a mean annual return of 6% and a volatility of 14%. Portfolio B has a mean return of 6.5% and annual volatility of 13%. The portfolios will also have a 0.90 correlation to each other-most stock funds have higher correlations. By both measures of absolute return and risk-adjusted return, Portfolio B is better. Yet over the first randomly simulated six-month period, Portfolio A came out ahead. One 6-Month Simulation (click to enlarge) How often does the worse portfolio come out ahead over a short time period? In this case, we’ll call them C and D, with the same parameters. Let’s look at running 1,000 of such simulations over a six-month period. How often does Portfolio D, who should be the winner, come out ahead? Many Simulations Over 6 Months (click to enlarge) The answer is so close to 50% as to be indistinguishable from it. In fact, we can increase the differences in expected returns and this remains true. Let’s give Portfolio D a mean return of 8% and Portfolio C a mean return of 6%. Both have 14% volatility. The significantly higher return Portfolio D will still lose over 40% of the time over a six-month period. Many Simulations Over 6 Months (click to enlarge) While the odds are just better than 50/50 in the short term, they have big consequences in the long term. Here are the distributions of 20-year outcomes for those same portfolios: Many Simulations Over 20 Years (click to enlarge) The randomness in half-year returns results in choosing the wrong portfolio about half the time, even with large difference in return. You might as well save yourself the time and expense and flip a coin. Over long periods of time (20 years), and with large differences in average returns, the odds of picking the correct choice do increase. But you may be surprised how long it can take. For portfolios with a 1% return difference, by 20 years you still have about a one-in-four chance of picking the portfolio that will have worse underlying returns over even longer periods of time. Chance of Choosing Worse Portfolio Based on Performance Return Difference 3 months 6 months 1 Year 5 Years 10 Years 20 Years 0.50% 49% 48% 48% 42% 40% 37% 1.0% 47% 46% 44% 36% 32% 26% 2.0% 44% 43% 37% 26% 16% 9% Each cell based on 3,000 simulated cumulative returns of better portfolio (8% return) versus a benchmark portfolio with a mean return of 6% and 14% volatility. Correlation of 0.90 between portfolios. To be clear, there are statistical tools you can use to improve your odds of picking the right portfolio, but most investors aren’t professional statisticians. They just go by the cumulative returns over a short period of time. Performance Chasing Is Worse Than Random If the low odds of correctly choosing a better portfolio above didn’t convince you, it’s even worse than that. Empirically, choosing the best funds, a strategy called performance chasing, is likely to reduce your returns. The graph below comes from an excellent research paper from Vanguard. It shows the returns achieved by investing in the best fund in each asset class, compared to a buy-and-hold strategy. Performance chasing-picking investment based on recent performance-produced worse returns of about -2% to -3.5%. Buy-and-Hold Superior to Performance Chasing, 2004-2013 (click to enlarge) If every year, you picked the investment manager with above average returns over the past 12 months, you’d end up underperforming an investor who stuck with the passive index-tracking manager. The Right Things to Consider If recent investment performance is such a poor way to choose an investment manager, how should you select one? Use a set of clear principles that are likely to be true in the future: Monetary Cost: A certain drag on returns, if the service doesn’t deliver value above cost. Consider commissions, trade fees, and assets under management (AUM) fees. Non-Money Costs: How much time and and effort does it take for you to use it well? Does it have a high time or stress cost for you to get the most out of it? Services Offered: Do the services offered make you better off? Does it do things for you which you wouldn’t do yourself? Does it help you make better decisions? Does it make some of those decisions for you, automatically? Experience: Is it easy to use? Do you enjoy using it? Philosophy Fit: Consider its investment philosophy, and if it is parallel to yours. Some funds seek to deviate from the index and cost more, some seek to track it passively. Tax Management: Returns will likely not take into account actual value-adds , such as tax loss harvesting. You won’t have received a comparison tax bill that allows you to compare after-tax returns across services; it will be up to you to compare them. Behavior Management: Does the service have a proven track record of reducing the behavior gap? When choosing an investment manager, the key isn’t to focus on investment performance; it’s to focus on service, fit, and investor returns. Information in this article represents the opinion of the author. No statement in this article should be construed as advice to buy or sell a security. The author does not know your particular objectives for returns or constraints upon investing. All investors are encouraged to do their own research before making any investment decision.

There Is No Margin Of Safety

Summary Value investing’s “margin of safety” is illusory: “50 cent dollars” can turn into “50 cent quarters”, or worse. You can use value investing in security selection, but to protect against stock-specific risk, you need to diversify or hedge. An advantage of hedging is that it let’s you concentrate your assets in a handful of stocks you think will do best, while limiting your downside risk. An additional advantage of hedging is that it protects against market risk, which diversification alone does not. We outline a method for creating a hedged portfolio of value stocks, and provide an example. The Margin of Safety in Value Investing One of key terms used in value investing is ” margin of safety “, which refers to difference between a company’s market price and its ” intrinsic value “, as illustrated by the image below (take from the website of Pratt Capital, LLC) Margin of safety was coined by the putative father of value investing, Benjamin Graham, and perhaps the best way to help explain it is quote one of his famous sayings, “In the short run, the market is a voting machine, but in the long run, it’s a weighing machine”. “Voting”, or investor sentiment, drives the market price in the short term, according to Graham, but “weighing”, or recognition of intrinsic value, drives the stock price in the long term. The idea is, essentially, to buy a stock when it’s trading for less than it’s really worth (its intrinsic value), and sell it at some future date when it’s trading at its intrinsic value or higher. The Margin of Safety in Reality Buying a stock for less than your estimation of its intrinsic value and selling it for more later – value investing, in a nutshell – makes perfect sense. What doesn’t make sense is calling that discount between the market price and your estimation of intrinsic value a “margin of safety”, because it isn’t one. Let’s take the simplest case, what Graham referred to as a ” net-net “, a stock trading for less than its net current assets minus its total liabilities. In Graham’s day, these were more common, but you can still find them occasionally today among very small stocks. A stock trading for 50 cents per share with $1 per share in net current assets minus total liabilities would be a classic “50 cent dollar”. A can’t lose proposition, right? Well, not quite. One problem with a so-called 50 cent dollar is that you really don’t know what the net current assets are now ; you only know what they were as of the date they were reported. What if next time the company reports they have only 50 cents in net current assets per share? All else equal (i.e., the same conditions causing it to sell at discount in the past still applying) the share price will tank. And all else may end up being worse. Diversification versus Margin of Safety Of course, Graham knew this, which is why he advocated buying a basket of net-nets, rather than just a few. The basket — i.e., diversification — was his real downside protection against the stock-specific risk of some of his 50 cent dollars turning out to be a 50 cent half dollars, or, worse, a 50 cent quarters. One could argue that value investors today using more subjective measures of intrinsic value based on estimates of future earnings should be even more concerned about downside protection, particularly after some prominent value investing debacles during the last financial crisis. The Limits of Diversification Although diversification protects against stock-specific risk, it doesn’t protect against market risk. When the market tanks, nearly all stocks tank too. We saw this in miniature last month, as we noted in an article published soon after (“Lessons from Monday’s Market Meltdown”), and of course we saw it in 2008 , when stocks were a sea of red across the globe. What offers protection against market risk is hedging. Hedging Against one Kind of Risk or Both You can use a diversified portfolio to limit your stock-specific risk, and hedge against market risk by buying optimal puts on relevant index ETFs. We offered a step-by-step example of that in a previous post (“Protecting A Million Dollar Portfolio”). Alternatively, you can hedge each security you own; if you do that, you are hedging against both market risk and stock-specific risk, so you’ve obviated the need for broad diversification. That enables you to aim for maximizing your potential return with a concentrated, hedged portfolio. You can still use value investing principles to construct that portfolio, but you won’t be relying on an illusory “margin of safety” to protect it. We demonstrate a way of doing that below. Risk Tolerance and Potential Return All else equal, with a hedged portfolio, the greater an investor’s risk tolerance — the greater the maximum drawdown he is willing to risk (his “threshold”, in our terminology) – the higher his potential return will be. So, we should expect that an investor who is willing to risk a 25% decline will have a chance at higher returns than one who is only willing to risk, say, a 15% drawdown. For the purposes of this example, we’ll split the difference and create a hedged portfolio designed for an investor with $250,000 who is willing to risk a drawdown of no more than 20%. Constructing A Hedged Portfolio We’ll summarize process the hedged portfolio process here, and then explain how you can implement it yourself. Finally, we’ll present an example of a hedged portfolio that was constructed this way with an automated tool. The process, in broad strokes, is this: Find securities with high potential returns (we define potential return as a high-end, bullish estimate of how the security will perform). Find securities that are relatively inexpensive to hedge. Buy a handful of securities that score well on the first two criteria; in other words, buy a handful of securities with high potential returns net of their hedging costs (or, ones with high net potential returns). Hedge them. The potential benefits of this approach are twofold: If you are successful at the first step (finding securities with high potential returns), and you hold a concentrated portfolio of them, your portfolios should generate decent returns over time. If you are hedged, and your return estimates are completely wrong, on occasion — or the market moves against you — your downside will be strictly limited. How to Implement This Approach Finding promising stocks In this case, we’re going to use a large cap value screen from Zack’s Investment Research, but you could also use value stock ideas from Seeking Alpha or Seeking Alpha Pro . To quantify potential returns for these stocks, you can, for example, use analysts’ price targets for them and then convert these to percentage returns from current prices. In general, though, you’ll need to use the same time frame for each of your potential return calculations to facilitate comparisons of potential returns, hedging costs, and net potential returns. Our method starts with calculations of six-month potential returns. Finding inexpensive ways to hedge these securities First, you’ll need to determine whether each of these top holdings are hedgeable. Then, whatever hedging method you use, for this example, you’d want to make sure that each security is hedged against a greater-than-20% decline over the time frame covered by your potential return calculations (our method attempts to find optimal static hedges using collars as well as protective puts going out approximately six months). And you’ll need to calculate your cost of hedging as a percentage of position value. Selecting the securities with highest net potential returns In order to determine which securities these are, out of the list above, you may need to first adjust your potential return calculations by the time frame of your hedges. For example, although our method initially calculates six-month potential returns and aims to find hedges with six months to expiration, in some cases the closest hedge expiration may be five months out. In those cases, we will adjust our potential return calculation down accordingly, because we expect an investor will exit the position shortly before the hedge expires (in general, our method and calculations are based on the assumption that an investor will hold his shares for six months, until shortly before their hedges expire or until they are called away, whichever comes first). Next, you’ll need to subtract the hedging costs you calculated in the previous step from the potential returns you calculated for each position, and exclude any security that has a negative potential return net of hedging costs. Fine-tuning portfolio construction You’ll want to stick with round lots (numbers of shares divisible by 100) to minimize hedging costs, so if you’re going to include a handful of securities from the sort in the previous step and you have a relatively small portfolio, you’ll need to take into account the share prices of the securities. Another fine-tuning step is to minimize cash that’s leftover after you make your initial allocation to round lots of securities and their respective hedges. Because each security is hedged, you won’t need a large cash position to reduce risk. And since returns on cash are so low now, by minimizing cash you can potentially boost returns. In this step, our method searches for what we call a “cash substitute”: that’s a security collared with a tight cap (1% or the current yield on a leading money market fund, whichever is higher) in an attempt to capture a better-than-cash return while keeping the investor’s downside limited according to his specifications. You could use a similar approach, or you could simply allocate leftover cash to one of the securities you selected in the previous step. Calculating Expected Returns While net potential returns are bullish estimates of how well securities will perform, net of their hedging costs, expected returns, in our terminology, are the more likely returns net of hedging costs. In a series of 25,412 backtests over an 11-year time period, we determined two things about our method of calculating potential returns: it generates alpha, and it overstates actual returns. The average actual return over the next six months in those 25,412 tests was 0.3x the average potential return calculated ahead of time. So, we use that empirically derived relationship to calculate our expected returns. An Automated Approach Here we’ll show an example of creating a hedged portfolio starting with value stocks using the general process described above, facilitated by the automated hedged portfolio construction tool at Portfolio Armor . Narrowing Down Our List of Stocks To get a starting list of value stocks, we used the Large Cap Value screen created by Zack’s Investment Research in Fidelity ‘s stock screener. That screen uses these criteria: Market capitalization of $5 billion and above Projected EPS growth (quarter over quarter) of 17% or more Projected EPS growth (year over year) of 17% or more P/E below 12 PEG below 1 Security price above $5 Average volume over 50,000 shares traded daily On Thursday, that screen generated these 11 stocks: American Airlines Group (NASDAQ: AAL ) Citigroup (NYSE: C ) Delta Air Lines (NYSE: DAL ) Ford Motor Co. (NYSE: F ) Gilead Sciences (NASDAQ: GILD ) HollyFrontier Corp (NYSE: HFC ) Lear Corp (NYSE: LEA ) Southwest Airlines (NYSE: LUV ) Tesoro Corp (NYSE: TSO ) United Continental Holdings (NYSE: UAL ) Valero Energy (NYSE: VLO ) Using the Automated Tool In the first step, we enter the eleven ticker symbols in the “Tickers” field, the dollar amount of our investor’s portfolio (250000) in the field below that, and in the third field, the maximum decline he’s willing to risk in percentage terms (20). In the second step, we are given the option of entering our own potential return estimates for each of these securities. Instead, in this case, we’ll let Portfolio Armor supply its own potential returns. Note that the site’s potential returns are calculated based on price history and option market sentiment, so they generally won’t be very high for value stocks. But, again, you can enter your own potential returns in this step if you want. A couple minutes after clicking the “Create” button, we were presented with the hedged portfolio below. The data here is as of Thursday’s close. Why These Particular Securities? The site included all of the entered securities for which it calculated a positive potential return, net of hedging costs. In this case, that turned out to be six of the eleven stocks we entered, DAL, GILD, HFC, LEA, TSO, and VLO. In its fine-tuning step, it added Under Armour (NYSE: UA ) as a cash substitute. Let’s turn our attention now to the portfolio level summary for a moment. Worst-Case Scenario The “Max Drawdown” column in the portfolio level summary shows the worst-case scenario for this hedged portfolio. If every underlying security in it went to zero before their hedges expired, the portfolio would decline 19.8%. Negative Hedging Cost Note that, in this case, the total hedging cost for the portfolio was negative, -2.56%, meaning the investor would receive more income in total from selling the call legs of the collars on his positions than he spent buying the puts. That also means that if the underlying securities returned 0% over the next 6 months, and the hedges expired worthless, the portfolio would return 2.56% (to be prudent, we suggest exiting positions just before their hedges expire instead). Best-Case Scenario At the portfolio level, the net potential return is 6.32% over the next six months. This represents the best-case scenario, if each underlying security in the portfolio meets or exceeds its potential return. A More Likely Scenario The portfolio level expected return of 2.22% represents a conservative estimate, based on the historical relationship between our calculated potential returns and backtested actual returns. By way of comparison, a hedged portfolio created recently using the same decline threshold (20%), but without entering any ticker symbols (i.e., letting Portfolio Armor pick all the securities), had an expected return of 6.1%. You can see that hedged portfolio in a recent article (“Investing While Guarding Against Extensive Vertical Losses”). Each Security Is Hedged Note that each of the above securities is hedged. Under Armour, the cash substitute, is hedged with an optimal collar with its cap set at 1%, and the remaining securities are hedged with optimal collars with their caps set at each underlying security’s potential return, as calculated by the site. Here is a closer look at the hedge for Gilead Sciences: Gilead Sciences is capped here at 10.62%, because that’s the potential return Portfolio Armor calculated for it over the next several months. As you can see at the bottom of the image above, the cost of the put protection in this collar is $464, or 2.08% of position value. But if you look at the image below, you’ll see the income generated from selling the calls is $640, or 2.87% of position value. So, the net cost of this optimal collar is -$176, or -0.79% of position value, meaning the investor would collect more income from selling the calls than he paid to buy the puts.[i] Possibly More Protection Than Promised In some cases, hedges such as the ones in the portfolio above can provide more protection than promised. For an example of that, see this instablog post on hedging the iPath S&P 500 VIX ST Futures ETN (NYSEARCA: VXX ). [i]To be conservative, this optimal collar shows the puts being purchased at their ask price, and the calls being sold at their bid price. In practice, an investor can often buy the puts for less (i.e., at some point between the bid and ask prices) and sell the calls for more (again, at some point between the bid and ask). So the actual cost of opening this collar would have likely been less. That’s true of the other hedges in this portfolio as well. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.