Tag Archives: knowledge

Valuations Are 80% Of The Stock Investing Story

By Rob Bennett I often make the claim that it is a terrible mistake for buy-and-holders not to take valuations into consideration when setting their stock allocations, because the peer-reviewed research in this field shows that valuations are the most important factor bearing on whether an investor achieves long-term investing success. I say that if you get valuations right, you are almost certain to do well in the long run even if your understanding of all other issues is poor, and that if you get them wrong, you are almost certain to do poorly in the long run even if your understanding of all other issues is strong. I sum up the point by stating that the valuations issue comprises roughly 80 percent of the stock investing story. It’s an informed estimate. I don’t believe that there is any way to say precisely how big an impact understanding valuations will have on an investor’s long-term success. But the evidence that I have seen has persuaded me that the valuations factor is of far more importance than most people realize, that it may well be 80 percent of the stock investing story or perhaps even a bit more than that. How much would you say that price matters when buying a car? It’s certainly not the only factor. You need to be sure that a car is well made. A poorly designed car is not a good deal even at a low price. And you need to be sure that the car you buy is one well suited to your needs. Someone who desires a sports car will not be happy with even a well-designed family van. And there are lots of personal considerations that need to be taken into account. Some people like red cars. Some people like black cars. Getting the color right can add a good bit to your enjoyment of the car you buy. Still, I think it can be said that researching prices and negotiating a good deal on price is 80 percent of what makes one a successful car buyer. Getting the color right is easy – you just need to be willing to drive to a second dealer if the first one you visit does not have the right color in stock. And it doesn’t take too much effort to identify the best style of car to satisfy your particular needs. We all know what is out there. You might need to check out a few vehicles to decide which particular sports car or which particular family van is right for you. But it is not difficult to get that aspect of the car buying experience settled in your favor. Nor does it take much research to learn which cars have a reputation for being built well. Getting the price right is harder. If you accept the dealer’s price, you are almost certainly going to overpay by hundreds of dollars, and quite possibly by several thousand dollars. If you do enough research to enter the dealer’s lot with confidence that you know the fair market value of the vehicle that you intend to purchase, and are willing to invest the time and energy needed to negotiate a good deal, you are going to enjoy a huge dollar return for the hours invested. You can improve your car deal by thousands of dollars by working the price aspect of the matter, potentially turning a very bad deal into a very good deal by focusing on this all-important issue. There is now 34 years of peer-reviewed research telling us that it works precisely the same way when buying stocks rather than cars. The safe withdrawal rate in 2000 was 1.6 percent real. The safe withdrawal rate in 1982 was 9 percent real. This means that a retiree with a $1 million portfolio who began her retirement in 1982 could live the life available on a $90,000 budget for her remaining years, while a retiree with a $1 million portfolio who began her retirement in 2000 could only live the life available on a $16,000 budget for her remaining years. That’s a big difference! It is critical to take valuations into consideration when planning a retirement. I think it would be fair to say the numbers show that valuations are roughly 80 percent of the retirement planning story. The story is the same for investors who are in the stage of life where they are accumulating assets, rather than living off the earnings from them. A regression analysis of the 145 years of historical data available to us shows that the most likely 10-year annualized return for stocks purchased in 1982 was 15 percent real. The most likely 10-year annualized return for stocks purchased in 2000 was a negative 1 percent real. That’s a difference of 16 percentage points of return! For 10 years running! Knowing about that difference and taking advantage of the knowledge by going with a higher stock allocation when going-forward returns are likely to be good than you go with when going-forward returns are likely to be poor turns the magic of compounding returns very much in your favor. I think it would be fair to say the numbers show that valuations are roughly 80 percent of the asset allocation story too. Lots of non-valuation factors matter. Interest rates matter. Unemployment rates matter. Consumer confidence levels matter. Inflation rates matter. And on and on. But those factors are all factored into the price that is available to the individual investor considering a stock purchase. So, while these other factors play a role in the investing game, we as individual investors need not pay attention to them. There is only one decision in our control – what percentage of our portfolio will be comprised of stocks. If we buy at good prices, we always do well in the long term. There has never once in the history of the market been an exception to this rule. And if we buy at bad prices, we always do poorly in the long run. Again, there has never been an exception. Most investors accept that valuations matter. But few realize how big a factor the valuations factor is (I can’t help but wonder if the reason might be that there is so much money to be made on the selling side by persuading investors that valuations are not a big deal). The reality is that the stock market is like every other market known to humankind – price is by far the dominant factor in the determination of whether market participants are able to achieve a good deal or not. Disclosure: None.

Expanding The Smart Beta Filter: Does It Help?

Summary iShares factor ETFs provide a source of well tested algorithms for factor-based stock selection. Previous examination of QUAL, MTUM and USMV have shown that this approach can produce actionable investing ideas. Can adding other, well-documented, factors improve the selective powers of this approach?. I continue to think about mining the iShares smart beta ETFs for investing ideas. In this article, I want to discuss expanding the source of data to include ETFs for risk premium factors beyond those I looked at previously. Let me start by reviewing some recent results from this exercise. My starting premise is that the set of ETFs offered by Blackrock iShares emphasizing individual risk-premium factors provides a rich source of securities that have passed their quantitative filters for the target factors. Previously I looked at three of these ETF focused on low volatility, quality and momentum factors. My goal was to find stocks that appeared in the holdings from more than one of these ETFs with the idea that such stocks have passed the MSCI index screen for more than one factor. I identified 14 stocks that occur in all three ( A Quest for the Smartest Beta ) and 60 more that occur in at least two ( Can We Find Smarter Beta From 2 Factor Portfolios? ). I found the results intriguing. First, The ETFs all beat the market, as represented by the SPDR S&P 500 Trust ETF ( SPY), as does the equal-weighted portfolio of ETFs. By analyzing a hypothetical portfolio, I was able to show that the 14 holdings from the set occurring in all three ETFs has soundly beaten all of the ETFs as well as the equal-weighted portfolio of the ETFs. This is fully documented in the second article referenced in the previous paragraph. Readers commented on my omission of two of the classic risk-premium factors and offered suggestions on incorporating them into the models. The missing factors, value and size, are, of course, important, and I’m going to look at how much, if anything, they add to the exercise as I go on. But first, let me digress here for a paragraph or two and consider why I felt these factors could, or should, be left out. Let’s start with the objective: It is to mine the quantitative algorithms of MSCI’s factor indexes for high-potential stocks. As I explained in the second article, I wanted to keep this exercise to a manageable number of funds and holdings. I thought three was optimal. Also, value and size are much less straightforward to deal with in this context. These factors form the basis for the traditional classifications of stocks: Value vs Growth and Large-, Mid-, Small-Cap. It’s the Morningstar style box. Value is variously defined and it’s not at all unusual to see the same securities turning up in growth and value funds from the same group. Size is easy, but pairs poorly with other factors depending on how one makes size cuts. By contrast, quality, momentum and low volatility are less rigorously defined (even considering the vagueness of how value is defined) and, in my view, more amenable to quantitative analysis that can produce unique, actionable results. So, I went with quality, momentum and low volatility. Quality is something I’ve been thinking about a lot, and I like the algorithm QUAL is using to define the factor (discussed here ). Momentum is another factor that can add serious alpha. I’ve been maintaining some momentum-based investing strategies in moderate-size portfolios using commission-free ETFs for several years to modest success. A problem with momentum is it tend to generate volatility and I’ve tried to modulate that in my own investing by adding a weighting for volatility (some day I may write an article on this). This reflects my appreciation for low volatility and the thinking that led me to include USMV in this project. The Factor ETFs All this is a bit subjective and intuitive, which is always something to guard against in an evidence-based approach, so I’ve decided to take readers’ advice and look at two more of iShares MSCI factor-index funds. I wanted to see if adding value and size to the analyses can improve the results. To this end, I’ll be deconstructing five ETFs looking for common holdings. The list of five, starting with the three considered earlier: iShares MSCI USA Minimum Volatility ETF (NYSEARCA: USMV ), iShares MSCI USA Momentum Factor ETF (NYSEARCA: MTUM ) iShares MSCI USA Quality Factor ETF (NYSEARCA: QUAL ) iShares MSCI USA Value Factor ETF (NYSEARCA: VLUE ) iShares MSCI USA Size Factor ETF (NYSEARCA: SIZE ) One problem right off the bat is the size of SIZE. At 636 holdings, it’s nearly four times the size of the next largest fund (USMV with 165). Perhaps as a consequence, it adds little value to the analysis, although, despite having 636 holdings, it is the least correlated with the broader market of the five ETFs. (click to enlarge) Pay particular attention to the last column in that table. SIZE is the least correlated with SPY, much lower than I would have anticipated. Note too, that VLUE is less correlated with SPY than any of the other three ETFs. I’ll start by looking at the performance of these ETFs and ask if the two new additions look likely to add any value. (click to enlarge) For the past year, they have lagged the previously considered three. But this has not been a good year for value stocks, and SIZE may add an advantage from that low correlation coefficient that will only become evident when it becomes an important variable. Deconstruction the ETF Portfolios As I did previously, I downloaded the full holdings of each of the ETFs into a spreadsheet and analyzed all five for stocks that appeared in more than one of the funds. Here’s a summary of the results. As anticipated, it quickly gets unwieldy. Only a single stock is in all five funds, and there are 20 that appear in four of the ETFs. Beyond that, there are too many to be useful for my purposes. What’s interesting is the 14 stocks that formed the basis of the earlier analysis by occurring the holdings of QUAL, MTUM and USMV, are all included in the 21 four- or five-fund stocks here. Thirteen of the 14 occur in either VLUE or SIZE; only one is in both. So, if we take the top 22 stocks here, i.e. those occurring in at least four funds, we have added eight to the previous list. So far, so good, we have increase our candidate pool; but not excessively, it’s still a manageable number. Here, for the record, are the 22 stocks with the 14 from MQLV set in italics: Axis Capital Holdings Ltd (NYSE: AXS ), Accenture Plc (NYSE: ACN ), Ace Ltd (NYSE: ACE ), Arch Capital Group Ltd (NASDAQ: ACGL ), Assurant Inc (NYSE: AIZ ), AT&T Inc (NYSE: T ), Chevron Corp (NYSE: CVX ), Chipotle Mexican Grill Inc (NYSE: CMG ), Chubb Corp (NYSE: CB ), Eli Lilly (NYSE: LLY ), Home Depot Inc (NYSE: HD ), Nike Inc Class B (NYSE: NKE ), O’Reilly Automotive Inc (NASDAQ: ORLY ), Partnerre Ltd (NYSE: PRE ), Reynolds American Inc (NYSE: RAI ), Sigma Aldrich Corp (NASDAQ: SIAL ), Starbucks Corp (NASDAQ: SBUX ), Target Corp (NYSE: TGT ), Travelers Companies Inc (NYSE: TRV ), United Health Group Inc (NYSE: UNH ), Visa Inc Class A (NYSE: V ), WR Berkley Corp (NYSE: WRB ). The first entry, Axis Capital, is the single name in all five ETFs. Sector representation is dominated by Financials and Consumer Discretionary, but it is more diverse than the set of 14 derived from three ETFs. (click to enlarge) Here is how these 22 stocks are allocated among the ETFs. As we see, all are in SIZE. SIZE is therefore acting as a binary filter to select among funds that are in three of the four funds but do not pass the size-factor filter. This is potentially a useful filter. USMV holds all but one, so it’s a similar filter. VLUE is a stronger filter. Less than half the funds are in VLUE’s holdings. I find this interesting and would have expected a result like this from MTUM, which only misses four, none of which is likely to be mistaken for a momentum stock in the current market. As I refine my thinking on this whole exercise, I have to spend more time considering how VLUE affects results. Portfolio Analysis As previously, I wanted to see the results of this filtering process. There is only one record to analyze. The funds rebalance at the end of May and November and, to my knowledge, do not publish past index allocations. Thus, there is only one analyzable record, that for the current cycle which is about 5 months old. We can see how various permutations of these results have fared since the last rebalance. I ran analyses on Portfolio Visualizer for equal-weighted portfolios comprising the following with the coding I’ve used in the tables: Five ETFs: 5ETFs EW QUAL, USMV, MTUM: 3ETFs (QVM) EW Stocks present in holdings of at least 4 of the ETFs: VQMVS(4+) VQMVS(4+) stocks in QUAL and MTUM only: QxM VQMVS(4+) stocks in QUAL and VLUE only: QxV VQMVS(4+) stocks in MTUM and VLUE only: MxV I pulled out the last three sets because USMV and SIZE were doing little more than serving as a final filter for the other three ETF holdings’ overlaps, so I thought it useful to see how those components were contributing to the results. Here are those results. (click to enlarge) As we can see, the five ETFs as an equal-weighted portfolio beat SPY, but lagged the subset of three ETFs. Let’s not forget, however, that this is only a five-month result. Longer term results can show benefit to holding all five factor ETFs, or at least four of them. For this we do have a longer record. The full record is still limited as the youngest fund only dates to July 2013. From July 2013, equal-weighted portfolios, rebalanced semiannually, of combinations of five, four and three of the ETFs turned in the following performance results. (click to enlarge) Removing either SIZE or VLUE added return and reduced maximum drawdown. Removing both, i.e. going to only QUAL, MTUM and USMV, as previously considered, improved both metrics. Volatility did increase slightly, but in all cases it remained lower than the S&P 500. These results indicate that there has been no advantage to adding VLUE or SIZE to a factor-based ETF portfolio. I’d like to say this validates my decision to use only MTUM, QUAL and USMV in my analyses, but the fact remains that the data set is too limited to draw such a conclusion. Let’s return to the previous table – and our main topic – and see how stocks filtered from the ETFs on the basis of their presence in four or more funds fared. Over the past five months, the combined ETFs returned 1.40% CAGR for all five, and 5.75% CAGR for the MQLV three. A portfolio of the 22 stocks found in four or more ETFS 29.67% CAGR and did so with a max drawdown of only -3.35% vs. -6.52% for the better performing of the two ETF portfolios. Separating out the component ETFs we see that the combination of QUAL an MTUM added a remarkable level of value, far outpacing a combination of either of the two factors with value as represented by VLUE. Yet again, I must emphasize the limited data available. But the results certainly begin to suggest that these ETFs, especially MTUM, QUAL and USMV, are attractive sources for filtered lists of stocks that rank strongly for risk-premium factors which can be further filtered for having been selected by the quite different quantitative criteria by multiple funds.

What’s In Your Wallet: The Case For Cash

Strong returns to risk assets have largely precluded the consideration of cash in a portfolio. In times of uncertainty and low expected returns, however, holding cash entails little opportunity cost. Further, holding cash provides a valuable option to take advantage of opportunities as they arise in the future. Following a period of high inflation in the 1970s and early 1980s, and then a period of 33 years of declining interest rates that boosted asset returns, it’s no wonder that cash has fallen out of the lexicon of useful investment options. In addition to this experience, some of the core tenets of investment theory have also helped to relegate cash to an afterthought as an investment option. Regardless, the lesson taken by many investors has been to remain fully invested and let risk assets to do what they do – appreciate over time. Not surprisingly, this has largely obviated the utility of cash. We don’t live in a static world though, and sometimes things change in ways that challenge underlying assumptions and change the endeavor in a fundamental way. In times of ever-increasing asset appreciation, investors just need exposure and cash serves as a drag. In leaner times characterized by lower expected returns, however, the opportunity cost of cash is far lower. More importantly, it also provides a valuable option to take advantage of future opportunities as they arise. Several factors have contributed to the lowly status of cash. An important one has been a core tenet of investment theory that indicates higher returns accrue from assets with higher levels of risk. Money managers and asset allocators such as investment consultants and wealth managers have run with this partly out of desire to help clients earn better returns, but also to out of desire to increase their own asset management fees. Many of these fiduciaries, however, take a shortcut by basing allocation decisions on past records rather than by making determinations of future expectations. This practice has two important consequences for investors. One is that it almost permanently consigns cash allocations to only the most extremely risk averse investors. Another is that it structurally avoids addressing situations in which risk asset opportunities deviate materially from their historical average. And deviate they do from time to time. Stocks, for example, hit exceptionally high valuations in 2000 and 2007. Identifying such instances is not a matter of using Ouija boards and engaging in occult activities either; straightforward analytical techniques are widely available (see John Hussman’s work [ here ] for an excellent analysis). These instances create significant opportunities to avoid low expected future returns by temporarily holding cash instead. To skeptics leery of making any changes, such a dynamic response falls far short of market timing. It merely involves adapting one’s exposure to be consistent with longer term risk/reward characteristics as they go through cycles over time. This really just involves a common sense approach of only taking what is given and not overreaching, but it is also completely consistent with the Kelly criterion prescription for wealth maximization that we discussed [ here ]. The problem is that at the current time, it’s not just stocks that look expensive. With rates near zero, and below zero in many countries, fixed income also looks unattractive. As James Montier of GMO complained [ here ], “Central bank policies have distorted markets to such a degree that investors are devoid of any buy-and-hold asset classes.” And that was in 2013 when the S&P 500 was 400 points lower! He followed up by expanding on his position [ here ], “When we look at the world today, what we see is a hideous opportunity set. And that’s a reflection of the central bank policies around the world. They drive the returns on all assets down to zero, pushing everybody out on the risk curve. So today, nothing is cheap anymore in absolute terms.” In other words, we seem to be experiencing a rare global phenomenon in which virtually all assets are overpriced. For a generation (and more) that grew up on strong asset returns, this may seem surreal and hard to believe. Some things move in bigger cycles than our personal experience, though, and the history of asset returns certainly bears this out. On this score, Daniel Kahneman highlighted in his book, Thinking, Fast and Slow , exactly the types of situations in which we should not trust experience. In his chapter “Expert intuition: When can we trust it?”, he notes that a necessary condition for acquiring a skill is, “an environment that is sufficiently regular to be predictable.” Given our current environment of unprecedented levels of debt on a global basis and central banks intentionally trying to increase asset prices by lowering interest rates, in many cases below zero, it is doubtful that anyone can claim that this environment is “sufficiently regular to be predictable.” Indeed, this environment more closely resembles a more extreme condition identified by Kahneman: “Some environments are worse than irregular. Robin Hogarth described ‘wicked’ environments, in which professionals are likely to learn the wrong lessons from experience.” For those who are anchored to the notion that risk assets are utilities that reliably generate attractive returns, and for investors who are making decisions based on the last thirty years of performance, Kahneman’s work raises a warning flag: This is likely to be a situation in which your natural, intuitive, “system 1” way of thinking may lead you astray. This is a good time to engage the more thoughtful and analytical “system 2” to figure things out. If indeed we must contend with a “hideous opportunity set”, what options do investors have? The answer many receive from their investment consultants and wealth managers is to diversify. The practice of diversification works on the principle that there are a lot of distinct asset classes which implicitly suggests that there is almost always an attractive asset somewhere to overweight. This response creates two challenges for investors. One, as mentioned in the last Areté Blog post [ here ], is that, “The utility of diversification, the tool by which most investors try to manage risk, has been vastly diminished over the last eight years.” This is corroborated by Montier who notes, “Investors shouldn’t overrate the diversifying value of bonds … When measured over a time horizon of longer than seven years, Treasury bonds have actually been positively correlated to equities.” A second issue is that diversification does not really address the problem. As Ben Hunt notes [ here ], “investors are asking for de-risking, similar in some respects to diversification but different in crucial ways.” As he describes, “There’s a massive disconnect between advisors and investors today, and it’s reflected in … a general fatigue with the advisor-investor conversation.” The source of the disconnect is that “Advisors continue to preach the faith of diversification,” which is just a rote response to concerns about risk, while “Investors continue to express their nervousness with the market and dissatisfaction with their portfolio performance.” In short, “Investors aren’t asking for diversification;” they are asking for de-risking. And one of the best answers for de-risking is cash. In an environment of low expected returns wrought by aggressive monetary policy, James Montier makes a powerful case for cash [ here ]. He describes, “If the opportunity set remains as it currently appears and our forecasts are correct (and I’m using the mean-reversion based fixed income forecast), then a standard 60% equity/40% fixed income strategy is likely to generate somewhere around a paltry 70 bps real p.a. over the next 7 years!” In other words, we are stuck in an investment “purgatory” of extremely low expected returns. He suggests some ideas for exceeding the baseline expectation of paltry returns, but his favorite approach is to “be patient”, i.e., to retain cash and wait for better opportunities. As he duly notes though, “Given the massive uncertainty surrounding the duration of financial repression, it is always worth considering what happens if you are wrong,” and purgatory is not the only possibility. Montier’s colleague, Ben Inker, followed up with exactly this possibility [ here ]: “He [Montier] called it Purgatory on the grounds that we assume it is a temporary state and higher returns will be available at some point in the future. But as we look out the windshield ahead of us today, it is becoming clearer that Purgatory is only one of the roads ahead of us. The other one offers less short-term pain, but no prospect of meaningful improvement as far as the eye can see.” Inker’s recommendation is, “if we are in Hell (defined as permanently low returns), the traditional 65% stock/35% bond portfolio actually makes a good deal of sense today, although that portfolio should be expected to make several percentage points less than we have all been conditioned to expect. If we are in Purgatory, neither stocks nor bonds are attractive enough to justify those weights, and depending on the breadth of your opportunity set, now is a time to look for some more targeted and/or obscure ways to get paid for taking risk or, failing that, to reduce allocations to both stocks and bonds and raise cash.” Once again, cash figures prominently as an option. An unfortunate consequence of these two possible paths is that the appropriate portfolio constructions for each are almost completely mutually exclusive of one another. If you believe we are in investment purgatory and that low returns are temporary, you wait it out in cash until better returns are available. If you believe we are in investment hell and that low returns are the new and permanent way of life, something like the traditional 65% stock/35% bond portfolio “still makes a good deal of sense.” The catch is that the future path is unknowable and this uncertainty has implications as well. In regards to this uncertainty Montier’s observation is apt: “One of the most useful things I’ve learnt over the years is to remember that if you don’t know what is going to happen, don’t structure your portfolio as though you do!” That being the case, most investors should prepare for at least some chance that either path could become a reality. And that means having at least some exposure to cash. In conclusion, managing an investment portfolio is difficult in the best of times, but is far harder in times of uncertainty and change. When valuations are high, uncertainty is high, and diversification offers little protection, there are few good options and it makes sense to focus more on defense than on offense. In times like this, there are few better places to seek refuge than in cash. The degree to which one should move to cash depends heavily on one’s particular situation and investment needs. If you are a sovereign wealth fund or a large endowment with low draws for operating costs, your time horizon is essentially infinite so it may well make sense to stay pretty much fully invested. In most other situations, it probably makes sense to have some cash. If your spending horizon is shorter than the average 50 year duration of equities, if you may have liquidity needs that exceed your current cash level, or if you are trying to maximize your accumulation of wealth (and minimize drawdowns), cash can be a useful asset. Finally, the current investment environment has highlighted a growing divide between many investors and their advisers. Investors who are well aware of the risks pervading the market are seeking to manage the situation but all too often receive only rote directives to “diversify” in response. They may even be chided for shying away from risk as if risk is an inherently good thing. Such investors should take comfort in the knowledge that it only makes sense to take on risk insofar as you get well compensated for doing so. Further, identifying assets as expensive is in many ways a fundamentally optimist view – it implies that they will become cheap again someday and will provide much better opportunities to those who can wait. (click to enlarge)