Tag Archives: feeds

The V20 Portfolio: Week #29

The V20 portfolio is an actively managed portfolio that seeks to achieve an annualized return of 20% over the long term. If you are a long-term investor, then this portfolio may be for you. You can read more about how the portfolio works and the associated risks here . Always do your own research before making an investment. Read the last update here . Note: Current allocation and planned transactions are only available to premium subscribers . Over the past week, the V20 Portfolio climbed by 7.9% while the SPDR S&P 500 ETF (NYSEARCA: SPY ) rose slightly by 0.5%. Portfolio Update This week we saw significant volatility in our smallest holding, Dex Media (OTCMKT: OTCPK:DXMM ). Last week speculators drove up the price by more than 100% to a high of $0.28. After Wall Street Journal reported rumor of a planned bankruptcy, shares fell to where they traded prior to the run-up. Of course, the reason the V20 Portfolio holds the stock is not to trade these unpredictable swings. Ultimately the value of the equity will be dependent on the outcome of the negotiation. Prior to the management electing to miss an interest payment, the company still had enough liquidity to keep operations going. Intelsat (NYSE: I ) rallied as the high yield market recovered. Over the past month, shares climbed by almost 50%. As is the case with Dex Media, the company will be facing liquidity issues if it cannot refinance, which is why it is so dependent on the high yield market. The difference is that the company still has a good business that is growing. I believe that the discount arising from this issue will eventually disappear as the company deleverages. We also saw revised Q1 guidance from Spirit Airlines (NASDAQ: SAVE ) this week. Operating margin was increased from 19-20.5% to 21.5%. While it is still lower than what was achieved in Q1 2015, it is still a good sign given the intense competition in the market. Because Spirit Airlines mainly competes on price, I believe that exchanging a temporary dip in profitability for market share is a sound strategy. Our recent stake in an insurance company has not moved much since our purchase, though the company has most certainly continued to collect sizable premiums in the first quarter. I believe that one of the main reasons is the expectation that 2016’s hurricane season will be one of the worst in recent years . As the hurricane season approaches, the market may become increasingly nervous about Florida P&C insurers in general. It is important to remember that we were not betting on the occurrence (or rather absence) of a catastrophic hurricane when we purchased a stake in the company, we were buying its long-term profits. Our biggest position, Conn’s (NASDAQ: CONN ), continued to climb this week, rising 24%. While there were no company specific news, I believe that the stock may have benefited from the recent rally in the energy sector. Due to the company’s concentration in Texas, it is possible that the market perceives the commodity rally as a sign that the job market will improve, leading to more sales and lower delinquencies at Conn’s. Performance Since Inception Click to enlarge Disclosure: I am/we are long DXMM, CONN, I, SAVE. 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. Editor’s Note: This article covers one or more stocks trading at less than $1 per share and/or with less than a $100 million market cap. Please be aware of the risks associated with these stocks.

The Future Of Beta – Slip Sliding Away…

Value, momentum, size, quality, volatility, etc., as factors in investing are quite popular. They’ve produced significant outsized returns relative to benchmarks. Now, we even have Smart Beta funds and ETFs popping up all over to make taking advantage of factors super easy. That brings up the critical question every investor interested in taking advantage of factors in their portfolio should ask – will the outperformance of factor investing continue in the future? Here I’ll take a look at a recent post from Alpha Architect that addresses this question. In short, investors should expect past outperformance to decrease in the future. Basically, there are two reasons why outperformance could go away; data mining (the factor is not real and just an artifact of the data) and arbitrage (basically investors becoming aware of the anomaly, investing in it in a big way, and thus it disappears). The Alpha Architect post references a study that looked at out of sample performance of factors. Below are the results. Basically, out of sample returns are lower than what the historical results had shown. The returns were about 40-70% of what they were in the past. Sobering. But as I’ve discussed on the blog in the past, some factors are better than others. In another post , a bunch of factors are analyzed and the only two sustainable ones are value and momentum. This is the reason all the strategies I use are primarily focused around these two factors. But one of the reasons that value and momentum work is that they come with periods of awful performance, absolute and relative, and drawdowns. All of which make them very difficult to stick with over the long term. And if history is a guide, investors should expect their relative outperformance to decrease going forward as more investors become aware of them. In a way, these factor strategies are even harder to stick with than just simple buying and holding of traditional index products. When you’re indexing at least you’re doing no worse than the index! There is no FOMO (Fear of Missing Out). If you’re not willing or able to tolerate underperformance, potentially for long periods of time, then you won’t be successful with factors. But I think the are a several things investors can do to increase their chances of success going forward. Reduce expectations: I always reduce potential outperformance by at least half when I look at implementing a strategy. Diversify: Use multiple strategies – buy and hold indexing, TAA, smart beta, individual stocks. There’s a very strong chance at least one of the strategies will be outperforming, thus increasing your chances of sticking with your program. It doesn’t and shouldn’t be all or nothing. Stick with what works – Value and momentum strategies have stood the test of time… at least so far. Dampen portfolio volatility with bonds. Reduce noise – There is a lot of noise in markets today. Investors need to work hard to tune it out. Try and go 1 month without looking at the market. Most investors I know can’t go a week. Have an investing process – Investing your money shouldn’t be haphazard and random. As with many things in life, having a system and process will help you achieve success. What are your goals? How does your portfolio match those goals? When do you rebalance? What strategies are you implementing and why? Do the same things at the same times on a regular schedule, etc… In summary, factor outperformance could very possibly decrease in the future. But they are still likely to be very powerful wealth building strategies if investors can stick with them and not expect the future to be exactly like the past.

Infrastructure, Dividends And Path Dependence

A new paper from EDHEC Infrastructure Institute-Singapore argues that infrastructure firms represent a unique business model, one with lower revenue volatility, higher payouts, and substantially lower correlation with the business cycle than other firms. An “infrastructure firm” for purposes of this discussion is either a special purpose vehicle created in the context of a specific infrastructure project; a firm that conducts specific infrastructure-related activities, such as a port or an airport; or a regulated utility. Along the way to making its points, the paper also speaks, if only briefly, to an idea at the core of behavioral economics and finance: path dependence. But more of that in time. Investors and Regulators EDHEC infra prepared this paper in partnership with the Long-Term Infrastructure Investors Association, an organization of investors with a sum of $5 trillion in assets under management. In a press release that accompanied the paper, LTIIA chairman and CEO Thierry Déau said: “Not only can this research benefit investors in their profile decisions; it can also help build a deeper alignment between infrastructure investors and regulators.” The publication, “Revenue and dividend payouts in privately-held infrastructure investments,” by Frédéric Blanc-Brude, Majid Hasam, and Tim Whittaker, focuses on firms situated in the United Kingdom, because the UK offers “the largest, longest and most coherent set of infrastructure cash flow data available at this time.” Also, by confining the study to a single currency and regulatory environment, the authors avoid the need to control for those dimensions in their analysis. Six Conclusions Each infrastructure firm in the EDHEC infra database was, for purpose of this study, matched with a “nearest neighbor” non-infrastructure firm for control purposes. The matching was based on total asset size, leverage, and profitability. As a consequence of their statistical analyses, the authors came to six conclusions: Infrastructure firms have lower revenues and profits per dollar invested than the paired firm; They have significantly lower volatility of revenues and profits, in the aggregate and “at each point in investment and calendar time”; Infrastructure firms have a dynamic lifecycle, that is, the unit revenues and profits evolve by an order of magnitude over the investment cycle; Their revenues and profits are not tied, or at worst not closely tied, to the business cycle; The probability of positive equity payouts is high; finally; Equity payout ratios and considerably higher than in the relevant control groups. Trading one Cycle for Another The third and fourth of those points are closely related. One might roughly say that because infrastructure firms tie their fate to their own lifecycle, they gain some independence of the business cycle. Statistically speaking, four proxies of the business cycle highly correlated to one another [calendar year dummies, GDP, retail prices, and the Fama-French market factors] “have limited or no explanatory value with respect to the variance of revenues in infrastructure assets….” Thus, infrastructure can serve a portfolio manager as a powerful diversifier. It is in considering the equity payout process, referenced in the fifth and sixth of the bullet points above, that we come to the issue of path dependence. Path dependence is a concept developed within the subculture of behavioral economics. It refers to the sometimes nonrational and generally unanticipated ways in which later choices are affected by earlier choices. One classic example is the continued use of the QWERTY keyboard in all sorts of devices and virtual displays today, though its creation in the early days of the typewriter is shrouded in mystery. Joan Robinson anticipated the development of the idea of path dependency in the 1970s, when she wrote, “Once we admit that an economy exists in time, that history goes one way, from the irrevocable past into the unknown future, the concept of equilibrium … become untenable.” Robinson believed that path dependence was so important that it required a rethinking of the foundations of economics as a science. Blanc-Brude et al have no need to go that far. They do observe, though, that there is strong evidence of path dependency in this respect: “those [infrastructure] firms that begin to pay dividends early their life are more likely to be paying dividends later on.” This is odd, because infrastructure firms are “private firms with concentrated ownership.” The usual explanation for path dependence, that is for “stickiness,” in the level of dividend payouts, is premised upon publicly listed firms and/or distributed ownership. Stickiness is said to mitigate the agency costs inherent in the relationship between a small management group and a large ownership group. So: why do infrastructure firms, for whom the agency cost explanation doesn’t fit, nonetheless show this path dependency? The study gives no definitive answer to that question, beyond the suggestion that such a constant payout path in a standalone infrastructure product “could be interpreted” as a measure of the project’s success. It seems a fitting topic for further research.