Tag Archives: industry

3 Lies About The Stock Market

We’ve all been told outright lies about the stock market that do not square with the evidence. Today, we’re going to debunk some insidious lies. Lie #1: “Superior returns come from stock picking.” This lie is especially dangerous because it is partially true. High returns can come from stock picking. But higher returns most often come from not picking stocks. For example, if you had been smart enough to predict that Apple (NASDAQ: AAPL ) would trounce most of the S&P 500 after the unpleasantness of the financial crisis, you would be a great stock picker – you just wouldn’t be very bright at generating extremely high returns with a solid MAR ratio (CAGR/Maximum Drawdown). A 50/50 portfolio of leveraged S&P 500 and leveraged long duration government bond exposure would have trounced Apple. Take a look at 50% ProShares UltraPro S&P 500 ETF (NYSEARCA: UPRO )/50% Direxion Daily 30-Year Treasury Bull 3x Shares (NYSEARCA: TMF ), rebalanced weekly, vs. the performance of Apple. It’s not even close. And that’s holding stocks and bonds! The dramatic diversification not only provides Apple-trouncing performance but also does so with much higher Sharpe and MAR ratios. (click to enlarge) Click to enlarge Which leads us to: Lie #2: “Focus investing leads to the highest returns.” Absolutely not. As we have seen above, holding two major asset classes is the opposite of Phil Fisher style focus investing. If holding Apple (the greatest growth company of all time) since the summer of 2009 is not as good as holding two leveraged ETPs which give exposure to stocks and bonds, focus investing is not optimal. Focus investing may be better than holding the entire S&P 500, but it is not as good as holding the entire S&P 500 and long duration government bonds – i.e., dramatic diversification boosts returns more than focus. Remember, correlations between asset classes are, as a rule, more persistent than company earnings growth. Lie #3: “If you’re going to pick stocks, you need to predict earnings.” This lie is especially dangerous. Guessing quarterly earnings is a loser’s game. Here’s what’s better – measure the number of competitors in an industry. Long’s Law is the ultimate reductionist statistic which is predictive of sustained company outperformance. Long’s Law states that long-term free cash flow margins (FCF/revenue) in any industry over a multi-decade time frame tend towards the inverse of the number of competitors in that industry. Dozens of seemingly predictive statistical ratios really collapse causally to one number – the number of competitors in the industry. And there are the added benefits of determining if the measured outperformance is sustainable, and if and when the outperformance is threatened (the entrance of meaningful new competition, etc.). For example, in an industry with three competitors, FCF margins will tend towards 33.33% or 1/3. However, Economic “Laws” should best be termed Economic “Tendencies.” The rule roughly holds across a vast array of industries. But why is this important? FCF margins directly impact the sustainability of high long-term Return on Assets (ROA) rates. And longer term, sustained high ROA numbers dictate the unlevered return of a business. But the key word is “sustainable”. And high FCF margins, according to Long’s Law, are only sustainable longer term in industries with few substantial competitors. But what are examples of publicly traded companies that might rank very highly under Long’s Law? Here is an illustrative, but by no means complete, list below: Major Payment Networks (Network Effect Businesses) Visa (NYSE: V ) MasterCard (NYSE: MA ) Major Futures Exchanges (Network Effect Businesses) CME Group (NASDAQ: CME ) Intercontinental Exchange (NYSE: ICE ) CBOE Holdings (NASDAQ: CBOE ) Major Credit Rating Agencies (De Facto Regulators) Moodys (NYSE: MCO ) McGraw-Hill Financial (NYSE: MHFI ) Get the picture? Don’t predict earnings. Measure the number of competitors in the industry. Longer term, margins and sustained earnings growth follow the lack of or the brutality of competition in an industry. The robber barons understood this, and you should too. And you don’t even need to pick stocks, but if you’re going to, pick oligopoly businesses with few competitors. You’ll earn much higher returns than the major equity indices over time, but without the need to guess quarterly earnings. Why are these 3 lies so persistent and widespread? It’s because they are partially true. But if we want to optimize returns, we need to discard these lies, and replace them with evidence-based thinking. Thanks for reading. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article.

A Walk In The Woods: Evaluating Investment Strategies For The Long Haul

A Walk in the Woods , the book by Bill Bryson and movie starring Robert Redford and Nick Nolte, is a humorous yet insightful account of two novice hikers who set out to through-hike the Appalachian Trail. The endeavor parallels that facing many investors: setting out on what seems an almost implausibly long adventure with very little first hand knowledge of the challenges they are likely to encounter along the way. The parallels between hiking and investing extend further. In both cases, the participants receive all kinds of advice and are sold all sorts of things that turn out being either of dubious value or entirely counterproductive. Two guidelines stand out that apply as much to investing as to hiking. One is that fees are like gear in your pack – too much stuff that isn’t very useful can really slow you down, but some of that gear is really useful. Another is that the environment changes over time – which implies that different gear is appropriate at different times. Investment strategy is an extremely important decision for investors. The three main approaches of active, passive, and smart beta (also known as factor investing) each has advantages and a deserved role for certain situations. Too often, however, the pros and cons of each are overly simplified and applied dogmatically with little consideration given how conditions might change over time. While active management as a whole has performed poorly, that poor performance has not been universal as many assume. Research over the last several years reveals that the underperformance is not so much a structural issue with active investing as it is an endemic problem with the industry. It shouldn’t be surprising that active portfolios that are fairly concentrated, that charge reasonable fees, and that focus on inefficiently priced asset classes tend to perform better. In other words, active management is far from a futile exercise, but it does depend on the judicious use of “gear”. Critics who are completely dismissive of active management miss the reality that there are a number of excellent managers. Indeed, it defies common sense that given examples of exceptionalism in every realm of human endeavor, that there would be none in the field of active management. It is right to be skeptical, but not to be dismissive. A big part of the challenge for active investing is the cost/benefit tradeoff of its fees and this is exactly why passive investing has been such an attractive alternative. Indeed, passive investing today provides a far better way for people to gain exposure to the market than the main option available thirty years ago of buying a couple of individual stocks. No doubt, passive investing has been a useful addition to the amalgam of investment offerings. That said, the lower fees of passive investing relative to active do not provide an apples to apples comparison and are understated in an important sense. More specifically, Research Affiliates notes that, “Collectively, an active manager’s very important role is to increase market efficiency by identifying mispricing.” In doing so, active management actually provides a socially useful service in the form of price discovery by effectively making sure that market prices are fairly accurate. Without the efforts of active investors, there would be no natural forces to prevent prices deviating wildly from intrinsic values. As things currently stand, the costs of the service of price discovery accrue solely to active management clients, but the benefits accrue to passive management clients. Kenneth French (2008) studied these costs and found, “From society’s perspective, the average annual cost of price discovery is .67% of the total value of domestic equity.” This non-trivial cost accounts for a big chunk of the difference between active and passive fees. Indeed, it’s been a great deal for passive investors: it has been like having your hiking companion carry the tent, all of the food, and any shared gear for both of you, with no reciprocity. In addition to the traditional approaches of active and passive investing, a “third way” approach, often referred to as smart beta (factor investing), has become increasingly popular. The smart beta approach attempts to capture the best of both the active and passive approaches by facilitating low costs through automated selection processes and excess returns by leveraging finance theory and research. One well known “factor”, for example, is “value” and a recent favorite is “high quality” (usually determined by gross profitability). Smart beta is a legitimate concept and there is good reason to expect future developments in this area. Two threads of theory are relevant here. One was developed over twenty years ago by Kenneth French and Eugene Fama. Their research showed that returns could largely be described by the three factors of beta, size, and value in what is commonly referred to as the ” three factor model “. The implication for investors is that higher returns can be realized by increasing exposure to smaller stocks and to cheaper stocks. The economics of this quantitative approach have improved substantially as the costs of commissions and computing power have fallen relative to the costs active managers incur for doing fundamental research. Another thread of research pioneered by Research Affiliates argues that many indexes can be improved by weighting their constituents by variables other than that of market capitalization. Cap weighted indexes (such as the S&P 500), the argument goes, overweight the most overpriced stocks and underweight the most underpriced stocks, and therefore make systematic valuation errors. Their research shows that simply making random errors, as opposed to systematic ones, improves performance by about 2% per year. While this body of research certainly provides a valid foundation for some kind of smart beta (factor investing) approach, the investment industry has outdone itself the last few years by unveiling an enormous array of factor investing approaches to an investment audience ravenous for low fees and better performance. The recent paper put out by Research Affiliates entitled, “How can ‘smart beta’ go horribly wrong?”, provides some excellent research to help evaluate the recent proliferation of factors. Perhaps the single most important message from the paper is that the impressive results attributed to many of the new factors reveals more about the industry’s willingness and ability to mine data than it does about important new factors. More specifically, the authors found that, “factor returns, net of changes in valuation levels, are much lower than recent performance suggests.” In the case of high-profit companies, for example, they found, “When we subtract the returns associated with the rising popularity, and therefore rising relative valuation… the gross profitability factor loses more than 90% of its historical efficacy, delivering 10-year performance net of valuation change of just 0.39%.” In other words, “Many of the most popular new factors and strategies have succeeded solely because they have become more and more expensive.” While evaluating the costs and benefits of the three main investment strategies is a formidable task in its own right, investors in it for the long haul shouldn’t stop there. As the factor evidence highlights, things change over time and this absolutely holds true for the relative merits of investment strategies. John Authers highlights this point well in the Financial Times : “Using data from the past 25 years, Mr. Jones found a strong positive correlation between recent performance and buying decisions, in equities and bonds, for all of the classes of asset owners he looked at.” In other words, at the group level, everyone is a trend follower! In an important sense, this insight is frightening, but it also provides a useful warning: investment strategies may be just as subject to “inefficient pricing” as their underlying assets. It’s worth considering how such inefficiencies might get resolved. In the case of passive strategies, investors have been enjoying the benefits of efficient price discovery without having to pay for it. Insofar as the free ride persists, there is every reason to believe that investors will continue to jump on the passive bandwagon. The consequence of such trends will be to erode, over time, the ability of active investors to keep market prices fairly efficient. As this continues to happen, it is fair to expect that pricing efficiency will decline to a point where sufficient opportunities emerge for a smaller group of active investors to earn attractive returns over their costs, and that such excess returns will come at the expense of passive investors. In short, the free ride for passive investors may well be a one time gig. Smart beta too has had a very good run over the last few years but much of that appears to be temporal as well. As Research Affiliates notes, “We find that the efficacy of a factor-based strategy or a factor tilt (included by many under the smart beta umbrella) is strongly linked to changes in relative valuation, that is, whether the strategy is in vogue (becoming more richly priced) or out of favor (becoming cheaper).” Thus, since “Value-add can be structural, and thus reliably repeatable, or situational – a product of rising valuations-likely neither sustainable nor repeatable,” for many recent factors, the evidence points to situational and unsustainable. As a result, the authors conclude that “it’s reasonably likely a smart beta crash will be a consequence of the soaring popularity of factor-tilt strategies.” The Research Affiliates authors don’t uniformly disparage factors, however. Rather, they recognize that, “For the past eight years, value investing has been a disaster with the Russell 1000 Value Index underperforming the S&P 500 by 1.6% a year, and the Fama-French value factor in large-cap stocks returning -4.8% annually over the same period.” Largely as a result of that poor past performance, they find that the old Fama-French factor of value is currently “in its cheapest decile in history,” and therefore an attractive factor. Finally, the prospects for active management are mixed. On one hand, there are far too many active managers and far too many that charge fees greater than the benefits received. As a result, it is reasonable to expect the numbers to shrink. It is distinctly possible, and perhaps even likely, that as the active herd gets culled, so too will ever increasing opportunities emerge for efficient and focused active managers that aren’t “carrying too much weight” to take advantage of the overshoot of passive and smart beta strategies. A general lesson from all of this is that since the relative attractiveness of different investment strategies changes over time, it doesn’t make sense to take a dogmatic view towards them. Combined with the reality that each strategy has its own particular strengths in certain situations, it also makes little sense to think of any one strategy as being mutually exclusive of the others. The bottom line is that it makes the most sense to remain flexible. Further, there are two more specific lessons to consider in selecting investment strategies. One is to make sure that you get a good return from the fees that you pay, i.e. that you get a good “bang for the buck”. The other is that it makes sense to monitor changes in the environment that may warrant a different approach. Some of what passes as an “advantage” to one investment strategy in one situation may very well end up being a transient factor that can hurt you in the future. Your journey will be easier if you have the right “gear” (in the form of the right investment strategy) for each environment. Click to enlarge Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article.

Retail ETFs On Fire After Robust Results, Upbeat View

As the Q4 earnings season is winding down, the retail sector is grabbing attention with releases from its major players last week. Most of the retailers managed to beat our earnings and revenue estimates amid a slowing global economy, a stronger U.S. dollar and weakness in oil. In particular, better-than-expected earnings from retailers like J.C. Penney (NYSE: JCP ), Macy’s (NYSE: M ), Best Buy (NYSE: BBY ) and Home Depot (NYSE: HD ), and upbeat guidance from Target (NYSE: TGT ) and Lowe’s (NYSE: LOW ) spread optimism into the whole sector, and drove the stocks higher. However, disappointing results from Nordstrom (NYSE: JWN ) and Wal-Mart (NYSE: WMT ) weighed on the sector’s performance. Let’s dig into the details of the earnings releases: Retail Stocks Springing Surprises One of the leading department store retailers, J.C. Penney , emerged as the real champion in the Q4 earnings season as the stock popped up 14.7% and hit a new 52-week high of $9.7 1 following blockbuster fourth-quarter fiscal 20 15 results on February 25 after the market closed. The company came up with a huge beat of 77.3% on earnings and a mild beat of 0.02% on revenues. Additionally, J.C. Penney expects to post its first annual profit in five years in 20 16 (read: Retail ETFs to Watch Ahead of Q4 Results ). The big-box retailer, Target , also hit a new 52-week high of $78.97 in the last trading session, while its shares have jumped 6% since its fiscal fourth-quarter 20 15 earnings announcement on February 24. Though the retailer lagged our estimates for earnings by a couple of cents and for revenues by $0. 157 billion, it impressed investors with its upbeat guidance for the current fiscal year. The company guided earnings per share in the range of $ 1. 15-$ 1.25 for the ongoing fiscal first quarter and $5.20-$5.40 for fiscal 20 16. The mid-points were ahead of the Zacks Consensus Estimate of $ 1.2 1 for the first quarter and $5. 16 for the full fiscal at the time of the earnings release. The second-largest department store retailer, Macy’s , has seen share price appreciation of 5.8% to date post its earnings announcement on February 23. The company reported earnings per share of $2.09 and revenues of $8.869 billion that outpaced our estimates by 23 cents and $0.092 billion, respectively. For fiscal 20 16, the company guided earnings per share of $3.80-$3.90, the lower end of which was much above the Zacks Consensus Estimate of $3.72 at the time of the earnings release. Home Depot , the world’s largest home improvement retailer, cheered investors with better-than-expected fiscal Q4 results thanks to mild weather and an improving housing market. The company beat on earnings by 7 cents and on revenues by $0.6 19 billion. For fiscal 20 16, Home Depot expects earnings per share to increase 12%- 13% to $6. 12-$6. 18 and revenues to grow 5. 1%-6%, with same-store sales growth of 3.7%-4.5%. Driven by solid results, the company also raised its quarterly dividend by 17% to 69 cents per share and announced a $5 billion share buyback plan. The stock has gained nearly 2.7% to-date post its earnings announcement on February 23. The second-largest home improvement retailer, Lowe’s , reported in-line fourth-quarter fiscal 20 15 earnings but beat on revenues by $0. 182 billion. Moreover, the company provided an upbeat guidance for fiscal 20 16. The company expects sales to grow 6%, with 4% growth in comparable sales and earnings per share of $4.00. The stock has added 1.8% to-date since its earnings release on February 24. The largest U.S. electronics chain, Best Buy , topped our fourth-quarter fiscal 20 16 earnings estimate by 13 cents, but fell short of our revenue estimate by $0.049 billion. For the ongoing first quarter of fiscal 20 17, the company expects earnings per share in the range of 3 1-35 cents. Shares of BBY has gained 0.5% since its earnings announcement on February 25. The Real Dampeners The specialty retailer, Nordstrom , is the major loser as the stock has tumbled nearly 6.7% following lackluster fourth-quarter fiscal 20 15 results. The company missed the Zacks Consensus Estimate for earnings by a nickel and for revenues by $0.09 1 billion. In addition, the company issued disappointing earnings per share guidance of $3. 10-$3.35 for fiscal 20 16, the upper-end of which was well below the Zacks Consensus Estimate of $3.45 at the time of the earnings release. Nordstrom expects sales to increase 3.5%-5.5% and comps to grow in a flat to 2% growth range. The stock is modestly down 0.4% since the earnings announcement on February 18 after-market close. Shares of Wal-Mart , the world’s largest retailer, fell about 3% after the company missed on revenues by $0.687 billion for the fourth quarter of fiscal 20 16 and issued a weak revenue outlook, pointing to continued struggle with lower traffic and decelerating e-commerce. The company lowered its revenue growth projection for fiscal 20 17 from 3%-4% projected earlier to relatively flat. It also provided earnings per share guidance of $4.00-$4.30 for the full fiscal and 80-95 cents for fiscal first quarter of 20 17 (read: Consumer ETFs in Focus as Wal-Mart Disappoints ). The Zacks Consensus Estimate for the full year and the ongoing quarter were $4.56 and 88 cents, respectively, at the time of the earnings release. However, earnings per share came in at $ 1.49 for the fiscal fourth quarter, above the Zacks Consensus Estimate by 3 cents. The stock is up 0.6% to-date post earnings results on February 18. ETFs in Focus Robust performances and bullish guidance from most retailers offset the handful of weak earnings releases, leading to a rally in retail ETFs over the past 10 days. Investors seeking to take advantage of the ongoing rally in the space could consider the following three ETFs given the power-packed earnings releases. Any of these could be excellent choices given that these have a Zacks ETF Rank of 1 (Strong Buy) or 2 (Buy), suggesting their continued outperformance in the months ahead. SPDR S&P Retail ETF (NYSEARCA: XRT ) This product tracks the S&P Retail Select Industry Index, holding 100 securities in its basket. It is widely spread across each component as each of these holds less than 1.6% of total assets. Small cap stocks dominate nearly three-fifth of the portfolio while the rest have been split between the other two market cap levels. In terms of sector holdings, apparel retail takes the top spot at one-fourth share while specialty stores, automotive retail and Internet retail have a double-digit allocation each. XRT is the most popular and actively traded ETF in the retail space with AUM of about $667.9 million and average daily volume of more than 4.3 million shares. It charges 35 bps in annual fees and gained 12.8% over the past 10 days. The fund has a Zacks ETF Rank of 1. Market Vectors Retail ETF (NYSEARCA: RTH ) This fund tracks the Market Vectors US Listed Retail 25 Index and holds about 26 stocks in its basket. It is a largecap-centric fund and is heavily concentrated on the top 10 holdings with 64. 1% of assets. The largest allocations go to Amazon.com (NASDAQ: AMZN ), Home Depot and Wal-Mart (read: ETFs to Watch Post Amazon’s Big Earnings Miss ). Sector-wise, specialty retail occupies the top position with less than one-third share, followed by double-digit allocations each to Internet and catalog retail, hypermarkets, drug stores, departmental stores and healthcare services. The fund has amassed $ 149.6 million in its asset base while average daily volume is moderate at about 77,000 shares. Expense ratio came in at 0.35%. The product added 8.2% in the same period and has a Zacks ETF Rank of 2. PowerShares Retail Fund (NYSEARCA: PMR ) This retail fund provides a diversified exposure across various market caps with 45% in large caps, 43% in small caps and the rest in mid caps. This is easily done by tracking the Dynamic Retail Intellidex Index. The fund has accumulated just $22.8 million in its asset base while trades in a light volume of under 5,000 shares a day. The ETF charges 63 bps in fees per year. In total, the product holds 29 securities with none accounting for more than 5.88% of assets. In terms of industrial exposure, specialty retail takes the top spot at 48%, while food retail ( 19%) and drug stores ( 12%) round off the top three positions. PMR is up 8.5% in the past 10 days and has a Zacks ETF Rank of 2. Bottom Line The string of earnings and revenue beat has allowed retail ETFs to surpass the broader market fund by wide margins in the same period. This is likely to continue given the solid trends in the space. This is especially true as consumer spending has started regaining momentum on a slow but recovering economy, better job and wage prospects, and low oil prices. Original Post