We're finally getting a pause in the rapid ascent of the markets on September 3rd. Though headlines may look scary and momentum/volatility investors could start to pile on to the downside, a modest retracement is actually a good thing. We continue to focus on the long haul with our processes, and we're viewing the sell-off as profit taking, for the most part.
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In the near term, the markets will also have to digest some speculators betting on mean reversion between "value" (cyclical) versus "growth" (secular), but we maintain the view that the value-versus-growth conversation is largely nonsense (see block quotes below), and mean reversion is something akin to the gamblers' fallacy, in my humble opinion. Investors should also continue to expect outsize volatility, something every member should be anticipating given the prevalence of price-agnostic trading. Nothing in today's trading session should be surprising.
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Here is what I wrote in the second edition of Value Trap:
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Through the course of the COVID-19 crisis, I have learned to appreciate enterprise valuation even more. In the first edition of Value Trap (December 2018), I explained how investors should prepare for "one of the most volatile periods in stock market history," pointing to enterprise valuation and the Best Ideas Newsletter and Dividend Growth Newsletter portfolios, in particular, as ways to guard against the declines. Many Valuentum stocks, or ones that had key cash-based drivers of intrinsic value such as net cash and future expected free cash flows, as well as moaty attributes (sustainable competitive advantages), attractive economic castles (large foreseeable economic profit spreads), and asset-light (capex light) recurring business models not only persevered during the pandemic, but many of these companies turned out to be "pandemic-resistant," if not "pandemic proof."
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Though the concentration of undervalued equities, as derived by the enterprise valuation process, has been within the large cap growth bucket in the years following the Great Financial Crisis and during the COVID-19 crisis, bargains based on enterprise valuation (and the Valuentum process) will inevitably move around the traditional style box. However, with most measures of quant value failing to capture the very essence of intrinsic value estimation, the future hopes of systematic quant value, which weighs accounting book value heavily, are riding only on the gambler's fallacy, in my view. Accounting book value, which coincidentally Warren Buffett abandoned in his 2018 Letter to Berkshire Hathaway Shareholders (45), is about as arbitrary of an accounting measure as it gets (read more about this in Value Trap), and other single-year snapshot valuation multiples continue to suffer from the many shortcomings outlined in this text...
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...Whether it's B/M, P/E, EV/EBITDA, or another single-year snapshot valuation multiple, they all suffer from similar pitfalls, including but not limited to the application of realized (not expected) data and the absence of capturing the long-duration components of equity value in a fundamental anchor. If today's factor-based quant practitioners use the components of enterprise valuation, as in adjusting book value for intangibles (measured on the basis of future free cash flows in enterprise valuation) and point to interest rates (the discounting mechanism for future free cash flows in enterprise valuation) to explain varying performance of "growth" and "value" stocks, it only builds the case for enterprise valuation as the primary causal driver behind stock prices and returns, as Value Trap argues. Value investing is not dying or dead. Quant investors have been measuring value all wrong. In many ways, value investing has been thriving for those employing the enterprise valuation process.
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What I want you to understand is that traditional single-year snapshot valuation multiples are largely arbitrary. For example, a company with a large net cash position could trade at a high multiple of earnings just because of that net cash position (net cash elevates the earnings multiple, irrespective of growth or earnings). The opposite is also true. A company with a large net debt position could trade at a low multiple of earnings just because of that net debt position (net debt reduces the earnings multiple, irrespective of growth or earnings). The level of the multiple, itself, is not as informative as one may want it to be. There are many other examples that skew multiples, including off-balance sheet liabilities, hidden assets such as stakes in other companies, and many, many others. Single-year snapshot multiples could at times be very misleading, and stocks are often mis-categorized into arbitrary buckets as a result.
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In this light, most quantitative processes that are employing traditional single-year snapshot valuation multiples aren't really measuring "value" as most investors want to believe they are. When academics or the media talk about the growth-versus-value conversation, they are talking about two sets of stocks that are, at best, ambiguously defined, in my view, and most of the conversation therefore just doesn't hold water. We continue to prefer big cap tech, large cap growth, and many entities in the NASDAQ, not because of the nature of the group, but rather the composition of the stocks in the group, including the likes of Facebook, Alphabet, Visa, etc.
Most of small cap value, on the other hand, is heavily weighted toward banks and financials, an area that perhaps we like the least. Banks and financials struggled relative to other sectors following the Great Financial Crisis, and the sector was among the worst performing groups amid the COVID-19 breakdown as it failed to participate meaningfully in the rebound (there's a great image in the second edition of Value Trap that shows how the sector was down for the count). I see very little reason why small cap value would come into favor in the longer run, meaning I see little basis for a "reversion to the mean" relative to large cap growth on the performance of small cap value alone.
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Image: A popular small cap value ETF (IWN) weights financials at nearly 30% of holdings. Tightening net interest margins and higher expected loan loss reserves make financials a rather unattractive area, in our view. The group also experienced one of the biggest falls during the COVID-19 crash and failed to participate meaningfully in the rebound. The sector never really recovered completely from the Great Financial Crisis, and today, many banks could be viewed more like utilities given their participation in government stimulus programs.
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That's not to say that certain quantitatively-defined "value" stocks aren't undervalued, but it is to say that any reversion between growth-and-value will be primarily due to luck, not due to "science," "empirical support" or "evidence-based analysis," as commonly marketed. In many respects, given the ambiguous nature of single-year snapshot valuation multiples and the lack of applying expectations in the process, there's actually not much support for what many quants are betting on at all these days. Since the publishing of the first edition of Value Trap (December 2018), a large cap growth ETF has advanced nearly 70% while a small cap value ETF has declined 5% (including today's sell off). We maintain our view that such arbitrary buckets are irrelevant, and that it is the underlying intrinsic value (and the important cash based sources of intrinsic value) of the equities that is driving the divergence.
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Image: Large cap growth stocks have been on a tear since the publishing of the first edition of Value Trap. They are taking a pause today. We don't expect the category to fall out of favor, and we continue to dislike the make-up of small cap value given the heavy banks/financials exposures.
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When I left as director in the equity and credit department at Morningstar in 2011, I thought I knew a whole heck of a lot about investing. I felt like I was one in the top 5-10 in the world as it relates to the category of practical knowledge of enterprise valuation (maybe include Koller at McKinsey, Mauboussin at Counterpoint, and Damadoran at Stern on this list). After all, I oversaw the valuation infrastructure of a department that used the process extensively, and the firm was among just a few that used enterprise valuation systematically. Then, at Valuentum, our small team would go on to build/update 20,000+ more enterprise valuation models. There can always be someone else out there, of course, but I don't think anybody has worked within the DCF model as much as I have across so many different companies. That said, through the past near-10 years managing Valuentum's simulated newsletter portfolios, I've also learned a number of things to become an even better portfolio manager.
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