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Valuation Dashboard: Industrials – Update

Summary 4 key fundamental factors are reported across industries in the Industrial sector. They give valuation status of an industry relative to its historical average. They give a reference for picking stocks in each industry. This is part of a monthly series of articles giving a valuation dashboard in sectors and industries. The idea is to follow up a certain number of fundamental factors for every sector, to compare them to historical averages. This article covers Industrials. The choice of the fundamental ratios used in this study has been justified here and here . You can find in this article numbers that may be useful in a top-down approach. There is no analysis of individual stocks. You can refine your research reading articles by industry experts here . A link to a list of stocks to consider is provided in the conclusion. Methodology Four industry factors calculated by portfolio123 are extracted from the database: Price/Earnings (P/E), Price to sales (P/S), Price to free cash flow (P/FCF), Return on Equity (ROE). They are compared with their own historical averages “Avg”. The difference is named with a prefix “D” before the factor’s name (for example D-P/E for the price/earnings ratio). It is measured in percentage for valuation ratios and in absolute for ROE. The industry factors are proprietary data from the platform. The calculation aims at eliminating extreme values and size biases, which is necessary when going out of a large cap universe. These factors are not representative of capital-weighted indices. They are useful as reference values for picking stocks in an industry, much less for ETF investors. Industry valuation table on 11/25/2015 The next table reports the 4 industry factors. For each factor, the next “Avg” column gives its average between January 1999 and October 2015, taken as an arbitrary reference of fair valuation. The next “D-xxx” column is the difference between the historical average and the current value, in percentage. So there are 3 columns relative to P/E, and also 3 for each ratio. P/E Avg D- P/E P/S Avg D- P/S P/FCF Avg D- P/FCF ROE Avg D-ROE Aerospace&Defense 22.02 18.02 -22.20% 1.19 1.02 -16.67% 21.02 21.28 1.22% 7.89 9 -1.11 Building Products 28.48 20.14 -41.41% 1.28 0.64 -100.00% 33.72 22.38 -50.67% 9.91 6.07 3.84 Construction&Engineering 23.7 18.3 -29.51% 0.43 0.48 10.42% 18.32 19.81 7.52% 2.76 5.98 -3.22 Elec.Equipment 21.46 18.31 -17.20% 1.51 1.64 7.93% 27.36 21.88 -25.05% -8.4 -3.3 -5.1 Ind. Conglomerates 41.07 20.45 -100.83% 2.54 1.3 -95.38% 33.63 29.98 -12.17% 1.88 12.12 -10.24 Machinery 19.26 18.25 -5.53% 1.09 0.9 -21.11% 27.38 21.81 -25.54% 9.65 8.72 0.93 Trading Companies&Distri 15.36 17.14 10.39% 0.6 0.7 14.29% 12.99 25 48.04% 9.18 8.61 0.57 Commercial Services&Supplies 22.1 20.86 -5.94% 1.17 1.03 -13.59% 24.19 19.84 -21.93% 2.15 3.99 -1.84 Professional Services* 23.25 24.04 3.29% 1.46 1.22 -19.67% 21.24 17.43 -21.86% 7.36 3.09 4.27 AirFreight&Logistics 23.07 21.06 -9.54% 0.66 0.57 -15.79% 21.72 32.87 33.92% 11.93 11.12 0.81 Airlines 12.46 15.18 17.92% 0.97 0.41 -136.59% 19.15 12.37 -54.81% 34.11 3 31.11 Marine** 12.92 14.04 7.98% 0.81 1.41 42.55% 15.89 23.27 31.71% -15.58 6.05 -21.63 Road&Rail 16.88 19.17 11.95% 1.22 0.86 -41.86% 34.67 36.17 4.15% 16.97 9.43 7.54 Transport Infrastructure** 7.01 23.6 70.30% 1.06 1.19 10.92% 5.37 20.8 74.18% -1.33 -3.22 1.89 *Professional Services: Avg since 2008. **Factors may vary a lot for some industries with a low number of stocks or a lot of outliers. Valuation The following charts give an idea of the current status of industries relative to their historical average. In all cases, the higher the better. Price/Earnings: Price/Sales: Price/Free Cash Flow: Quality (ROE) Relative Momentum The next chart compares the price action of the SPDR Select Sector ETF ( XLI ) with SPY (chart from freestockcharts.com). (click to enlarge) Conclusion Industrials have slightly out-performed the broad market in the last 3 months, but underperformed it in the last 6 months. The 5 most prominent S&P 500 industrial companies in the recent rally have been General Electric (NYSE: GE ), Southwest Airlines (NYSE: LUV ), Norfolk Southern Corp (NYSE: NSC ), Raytheon (NYSE: RTN ), United Rentals (NYSE: URI ). LUV and RTN have hit new all-time highs, GE is close to its 2008 top. At industry level, Trading Companies and Transport Infrastucture are the only 2 industries with the 3 valuation ratios pointing to underpricing, and a quality level above the historical average. The industries with an improvement in valuation factors since last month are Trading Companies, Commercial Services and Supplies, Marine. There may be quality stocks at a reasonable price in any industry. To check them out, you can compare individual fundamental factors to the industry factors provided in the table. As an example, a list of stocks in Industrials beating their industry factors is provided on this page . If you want to stay informed of my updates on this topic and other articles, click the “Follow” tab at the top of this article.

Selling Winners And Holding Losers – Even The Smartest Investors Get It Wrong

The study of how human instinct impacts on investment decisions is hotly debated and sometimes controversial. But even Ben Graham, the father of value investing, was aware of the potential for investors to err. He famously warned that “the investor’s chief problem – and even his worst enemy – is likely to be himself.” One of the best known behavioural trap-doors is to hang onto losing investments for too long and sell winning positions too soon. It’s a phenomenon known as the Disposition Effect. For years, researchers have warned that investors can damage returns by cutting winners and riding losers. Often, this warning has been pitched in the direction of relatively unsophisticated retail investors. But new research suggests that the same behavioural flaw exists in some of the market’s smartest and best-informed traders – Short Sellers. It serves as a reminder that the risk of succumbing to selling the wrong positions is something every investor needs to be aware of. So here’s a review of how things can go wrong and why smart investors are susceptible too. Why we sell the wrong shares If you were looking at a map of behavioural finance, you’d arrive at the Disposition Effect directly from two other places: prospect theory and mental accounting. These are theories about how humans make choices between risky prospects and how they categorise them based on different outcomes. In the context of investing, these theories claim that investors treat the probability of a loss differently to that of a gain. With the Disposition Effect, what this means is that investors irrationally sell winners and hold losers even though it often makes no economic sense. Some of the best research into the consequences of all this was done by Terrance Odean, who waded through 10,000 accounts held at an American discount broker between 1987 and 1993. He found a clear tendency for investors to sell winning positions over losing positions. Moreover, there was no good reason for it – there was no evidence that these investors were deliberately rebalancing their portfolios. On average, after one year, the losing stock, that was held, fell by 1.0% against the market. While the winning stock, that was sold, actually gained 2.4% above the market. Momentum rides on the Disposition Effect Clearly, Odean’s findings show that the Disposition Effect can damage performance – but not everyone loses. Readers of Stockopedia will know that we view Momentum as a core driver of market returns – as do a number of academics and investment professionals. So it’s worth mentioning at this point that the Disposition Effect arguably has a role in driving momentum. Given that research shows that investors sell winning positions too soon, there’s a read-across to companies that issue good news to the market. Some evidence suggests that the share price rise that goes hand-in-hand with good or surprising news can be artificially held back. And it’s held back by investors succumbing to the Disposition Effect and selling out of those ‘good news’ stocks too early. It causes something called post-earnings announcement drift, where the market takes a protracted time to price in the full meaning of the good news. This is one of the ways that momentum has been shown to work – very successfully for those who catch the wave. Smart investors make the same mistakes! If all this sounds a bit like like academics have been nit-picking at the fallibilities of individual investors, think again. In the evolutionary tree of the stock market, Short Sellers (despite their opaque nature) are regarded as some of the smartest investors around. Geared up to bet on shares that will fall in price means that they have to operate with a high degree of confidence. Ultimately, that means deep pockets and very detailed, industry-leading research. But very recent analysis shows that these guys are equally susceptible to the Disposition Effect. Watch out, we’re straying into the realms of double negatives here… but the evidence shows that short sellers are more prone to realising a capital gain on a falling share then they are to cut a losing position (i.e. a share that has risen in price). This is interesting stuff, not least because it hasn’t been looked at in detail before. In particular it shows just how powerful this natural urge to cut a winner really is. Plus it casts a small shadow over just how effective short selling is at making markets more efficient by pricing stocks correctly. The implication is that short sellers unwind profitable positions before they really should, or could do. The research was done by Bastian von Beschwitz (an economist at the US Fed) and Massimo Massa (a professor at INSEAD business school). They studied shorting activity on all US stocks between mid-2004 and mid-2010. Given the assumption that short sellers are very smart, there was a suspicion that they held on to losing (poor performing) positions because they knew they’d eventually come good. But it turns out this wasn’t the case – there was an element of irrational behaviour. Those profitable losing stocks became more profitable even after the short sellers had cut and run. As the researchers concluded: “…short sellers are closing more positions exactly at the time when it would be profitable to keep the short position open and profit from the negative future return. Thus, their tendency to hold on to their losing positions and close their winning ones causes them to lose money, a clear sign that it is not a profit maximizing strategy.” Circling back to the momentum connection, this new research also suggested that the Disposition Effect behaviour leads both long traders and short sellers to add to momentum. What can investors learn from this? For individual investors, news that the market’s most ruthless traders are prone to the same behavioural bias is perhaps quite reassuring. Unfortunately, it appears that individuals are more susceptible. Comparing Terry Odean’s 1998 research with their own, von Beschwitz and Massa found that the average retail investor suffered from a Disposition Effect that is approximately 6 times as strong as that of the average short seller. Overall, the findings reinforce many years of research that shows that selling winners too soon and holding losers too long can be costly. Dealing with this, of course, is another matter.

The 5 Dimensions Of Variant Perception

By Ron Rimkus, CFA Back in early 2007, an analyst pitched me on Ambac (NASDAQ: AMBC ), the bond guarantor. He understood the financial statements of the company exceptionally well. He could quote from memory the details of the company’s financial guarantee book. He also understood how the accounting for the guarantees worked, even the detailed notes in the financial statements, and knew intimate details about the structure of recent deals. The analyst advocated that we hold the stock. Ambac was a stock that I had inherited when I took over the fund roughly a year earlier. The time had finally come to make a decision about it. But, shortly after the analyst recommended we hold the position, I sold it. Ambac stock (ABK at the time; now, AMBC) was trading in the low $80s when I sold it. Over the following three years, the stock fell to pennies on the dollar, and the company ultimately declared bankruptcy. I wasn’t right because I was a genius or had perfect foresight. It’s that I was roughly right about the prospects for the business in terms of the bigger picture, whereas the analyst was right about the fine details of the company but wrong about the story they were telling. Very wrong, as it turned out. Why was the analyst so wrong? In short, this analyst knew everything about the boat, but nothing about the river. In other words, he held a bias for company-related micro information. And this bias led him to a favorable view of the company’s prospects. And this favorable view was – we now know – consistent with the market’s views. So, how can we learn from this? What exactly is the difference between detailed knowledge of a business on the micro level and understanding a business sector on the macro level? Shouldn’t such detailed knowledge of the company support the ability of long-term investors to make sound decisions? Does detailed company knowledge eliminate the need to know what the market thinks? How did this analyst’s perceptions of Ambac compare to the market’s perceptions of Ambac? These are important questions. For far too long, the investment industry has failed to recognize the distinction between personal and market perceptions of securities, even though this distinction is at least as important as the fundamental analysis we perform and is absolutely essential to active management. In fact, the role of perceptual analyst should be a C-level position in every investment organization. Many analysts labor under the belief that the game is about getting the cash flows right. It’s not. Alpha is not in your cash-flow estimates. It’s not in your discount rates. And it’s not in your cheap multiples. The game is about our variant perception – our ability to distinguish our perceptions from the market’s and successfully bet when there is a material difference. Divergence between your perception and that of the market is where you should dedicate the lion’s share of your work. This is where true alpha comes from. Everything else is beta in disguise. Consider the following graphic, which outlines the five dimensions of variant perception: Using this framework, let’s look back at what happened with Ambac. Fundamental Analysis Micro: As of the first quarter of 2007, the company was profitable and had reported decent earnings growth in the preceding five years. Its return on equity had averaged about 15% and was the best in the industry. Its administrative expense ratio was 15%, also the best in the industry. Its stated capital ratios were adequate. The analyst I worked with even had detailed information on how much money the company was making from each deal. Pretty good, right? The problem was that this analyst had no idea how these numbers might change under alternate scenarios. Macro: Up until 2007, flows into asset-backed securities had been robust, and demand for guarantees had likewise been strong. But it was clear that any slowing of growth would change the market dynamics for Ambac. Just as rising house prices reduced the obligations the company might ultimately make, falling prices increased the obligations. As house prices declined, it meant that the capital backing the bonds it underwrote was increasingly at risk. In the event of mortgage defaults, which were rising, the obligations for Ambac would also rise commensurate with supporting mortgage-backed securities. Market Perspective: For approximately 12 months, the market price of Ambac stock was still responding to market sentiment and largely ignoring home price declines. In the 2006 10-K , management states, “In order to enter the financial guarantee market certain requirements must be met, most restrictive of which is that a significant minimum amount of capital is required of a financial guarantor in order to obtain triple-A financial strength ratings by the rating agencies. These capital requirements may deter other companies from entering the market.” Not only was this statement true (which was, of course, good for the company in and of itself), it also suggested that the company had staying power, a competitive advantage. It was possible that a certain group of investors would become fixated on this notion of competitive advantage and, perhaps, less fixated on the events unfolding in the business. History Valuation History: In early 2007, Ambac was trading at about nine times earnings. The S&P 500 P/E multiple was around 17.30, making this stock about half as expensive as the market. Many investors, particularly value investors, considered the stock cheap and were satisfied with the combination of low P/E ratios and what they believed to be a competitive advantage. Macro History: Going back 200 years, the United States has experienced a roughly generational real estate cycle . And sharp real estate cycles have almost always ended in recession, where bond issuers, such as local and state governments, struggle financially. In 2007, the most recent real estate crash had been in 1990, and it had been fairly severe. Besides this, 2007 was littered with many other warning signs that a down cycle was beginning. Defaults on mortgage loans were rising sharply , and home prices were declining nationally. In fairness, I had no idea how bad this particular cycle was about to become, but history told me that things were changing and that change would be negative for the safety and soundness of Ambac. Analogies of History: At Ambac, its financial position was based not only on its own finances, but also on the financial wherewithal of the bond issuers it underwrote. In the 2008 crisis, it assumed massive liabilities for issues in default. From a historical perspective, many companies have labored through similar situations and failed. One example is how large numbers of banks in Texas went bankrupt in the mid-1980s after the oil patch turned south on the back of geopolitical events. When falling oil prices weakened the financial stability of many energy companies, these firms, in turn, couldn’t pay back their bank loans, creating insolvency among many banks. The market responded modestly to changes in oil prices as they fell, but reacted strongly once these changes became evident in the performance of the banks. The same held true during the financial crisis of 2008. Home prices peaked in July 2006. Ambac stock didn’t peak until March 2007, and didn’t fall below $80 until the company’s pre-announcement of negative earnings on July 25, 2007. That was a full 12 months after home prices began to fall, as is illustrated by the shaded area on the left hand side of the graph below: Policy Industry Regulation: From a policy perspective, recent laws and regulations had been enacted that were pushing more and more risk onto guarantors. The banking industry was encouraged to expand into sub-prime mortgages by both threats and rewards. Banks that didn’t meet affordable housing goals were threatened with sanctions, while banks that embraced sub-prime borrowers found a ready market to sell these loans through Fannie Mae ( OTCQB:FNMA ), Freddie Mac ( OTCQB:FMCC ), and Wall Street, booking immediate gains on sales and removing these loans from their books. Regulations across the credit markets had pushed the envelope in credit extension limits and, in turn, helped push issuers to pursue guarantees to maintain their own credit ratings. The result was that credit standards were lowered and buffers were reduced throughout the system. In many cases, the reduction in buffers simply shifted more of the burden of failure onto guarantors like Ambac. Monetary Policy: Artificially low interest rates created by the US Federal Reserve caused an unsustainable spike in credit growth and asset-backed securities, artificially inflating the economy and the markets. Trade Policy: The US current account deficit ballooned to nearly 6% of GDP in 2006, making it clear that the incremental growth in trade could not continue very long, as economic imbalances this large tend to get corrected. As the current account deficit ramped up, it encouraged foreign central banks (particularly China’s) to purchase US Treasuries with longer maturity dates and drive down interest rates. Given the prospect of a correction, this phenomenon would reverse itself, meaning interest rates would rise, the US economy would weaken, and foreign capital would (to some degree) flee the United States. With the exception of the massive policy response to the crisis, this is exactly what happened in 2008-2009. Agency Costs Incentives: From an agency perspective, lenders had incentives to grow EPS without any reference to the quality or transparency of the whole supply chain, which directly affected Ambac’s obligations. The top five senior executives at the company stood to take home $43 million simply upon termination after a change in control (see the ” Potential Payments Upon a Change in Control ” section), while rank-and-file employees risked losing their jobs. CEO William T. McKinnon received minimum annual bonuses of $800,000 and $850,000 in 2007 and 2008, respectively. Regardless of the value created by McKinnon for shareholders, he stood to make a lot of money whether the company did well or poorly. Moreover, senior management stood to gain $17 million personally if the company hit its earnings targets over the 2007-2010 time frame. Behavioral Analysis News Flow, Propaganda, and Meme Repetition: Alan Greenspan : “Nominal house prices in the aggregate have rarely fallen.” Ben Bernanke : The sub-prime crisis is “contained.” Alan Greenspan : “A ‘bubble’ in home prices for the nation as a whole does not appear likely.” Hank Paulson : “I also said I thought in an economy as diverse and healthy as this that losses may occur in a number of institutions, but that overall this is contained and we have a healthy economy.” We heard it all on the front end of the crisis. We even heard it all the way up until all hell broke loose with the collapse of Lehman Brothers in September 2008. And we didn’t hear these types of bromides uttered by just anyone: We heard them from the heads of the Fed, Alan Greenspan and Ben Bernanke. We heard them from the sitting secretaries of the US Treasury, Hank Paulson and Timothy Geithner. We heard them repeated by sitting President George W. Bush and many other high-profile authority figures. This authority mis-influence, leading to memes that were then repeated ad nauseam throughout the investment industry, made the market slow to respond to the full scope of the crisis. Status Quo: Ambac was profitable and growing. This is true. It is natural for many market participants to expect the status quo to continue. This should be a baseline assumption about market perceptions. Looking back, we now know definitively that the market was wrong. The market clearly had been focused on recently reported earnings, which were at their peak. In my experience, the status quo tends to dominate market perception of a stock. Mental Model Bias: Many value investors saw the low P/E multiple of 9 on Ambac and viewed the stock as “cheap” compared with the overall market multiple of 17-plus. Ambac stock had “relative value,” and many value investors supported it on that basis. With the benefit of hindsight, it is now clear the analyst’s perception of Ambac in early 2007 was shaped by the company’s reported financial results up to that time. Just three years later, however, the company declared bankruptcy, wiping out all existing shareholders. In 2007, I didn’t forecast the larger crisis, but I was able to incorporate a more expansive view of the business and identify the Ambac as relatively unsafe in contrast to a market that generally viewed the business as safe. If you have a similar view and similar weighting to the market portfolio, you are wasting precious time. Remember, everything interesting in economics and investing happens on the margin. Disclaimer : Please note that the content of this site should not be construed as investment advice, nor do the opinions expressed necessarily reflect the views of CFA Institute.