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The Best And Worst Of January: Market-Neutral Funds

Market-neutral mutual funds and ETFs posted aggregated loses of 0.14% in January, bringing their one-year totals through January 31 to a near-flat +0.01%. Market-neutral funds, which seek a balance between long and short equity positions in pursuit of returns that are uncorrelated with the broad market, have had an ultra-low beta of 0.13, relative to the Barclays U.S. Aggregate Bond Index, for the year ending January 31, but have averaged just 0.04% of alpha over that time. Average volatility of the funds has been low, as the category has an aggregate one-year standard deviation of just 4.89%; but risk-adjusted returns have been unimpressive, with the average fund in the category sporting a one-year Sharpe ratio of -0.16. Top Performers in January The three best-performing market-neutral funds in January were: QuantShares U.S. Market Neutral Anti-Beta ETF (NYSEARCA: BTAL ) Hussman Strategic Growth Fund Inv (MUTF: HSGFX ) Cognios Market Neutral Large Cap Fund Inst (MUTF: COGIX ) The QuantShares U.S. Market Neutral Anti-Beta ETF ( BTAL ) was January’s top-performing market-neutral product, posting monthly gains of a whopping 9.48%! For the year ending January 31, the fund was up 6.24%, generating 9.81% of alpha with a beta of 3.96, relative to the Barclays U.S. Aggregate Bond Index. That high beta may not be attractive to market-neutral investors despite the bullish returns, and the ETF’s 13.58% one-year standard deviation falls at the top of the rankings for the category. Among the 58 funds in the category with a 1-year track record, BTAL earned a one-year Sharpe ratio – a measure of risk-adjusted performance – of 0.66, outperforming all but 13 funds. The Hussman Strategic Growth Fund Inv ( HSGFX ) was among the top-performing market-neutral mutual funds in January, ranking second only to the above ETF in the category. The fund’s January returns of +5.01% weren’t enough to push it into the black for the year, though, as it was down 6.91% for the 12 months ending January 31. HSGFX produced a -6.25% alpha over the past year, with a beta of 1.53 and volatility of 11.94%. This yielded a one-year Sharpe ratio of -0.55 – not the worst in the category, but certainly worse than the category average. The Cognios Market Neutral Large Cap Fund Inst ( COGIX ) ranked third in January, with returns of +4.29%. For the year ending January 31, the fund’s gains of 10.16% ranked in the top 2% of the Morningstar Market Neutral category. Those gains break down into a 1.66 beta and 10.27% alpha, with a very nice 1.26 Sharpe ratio and 7.88% volatility. The fund, which launched on the last day of 2012, had annualized three-year gains of 7.87%, earning it a five-star rating from Morningstar . Bottom Performers in January The three worst-performing market-neutral funds in January were: Highland HFR Event-Driven Activist ETF (NYSEARCA: DRVN ) Schooner Hedged Alternative Income Fund Inst (MUTF: SHAIX ) Turner Titan Long/Short Fund Inst (MUTF: TSPEX ) An ETF was the top-performing market-neutral fund in January, and an ETF was the worst performer: The Highland HFR Event-Driven Activist ETF ( DRVN ) fell 8.50% for the month, making it the category’s worst by a wide margin. The fund only launched on May 29, 2015, and thus, doesn’t have longer-term performance numbers to analyze. The Schooner Hedged Alternative Income Fund Inst ( SHAIX ) lost 3.91% in January, but still held on to a +1.88% one-year return through January 31. The fund had a beta of -1.58 over the past year and generated an alpha of 1.67%. Its annualized volatility of 6.62% was the lowest of any fund reviewed this month. All of this adds up to a decent Sharpe ratio of 0.30. Finally, the Turner Titan Long/Short Fund Inst (TPSEX) had the third-worst performance of all market-neutral funds in January, with its shares falling 3.24% for the month. Nevertheless, the fund maintained one-year returns of +3.50% (an alpha of 3.36%) through January 31, with a beta of -1.22. TPSEX had annualized volatility of 7.27% through January 31, and a Sharpe ratio of 0.50. Past performance does not necessarily predict future results. Jason Seagraves contributed to this article.

Top 10 Drivers Of Valuation

Business Valuation Framework Over the years I’ve spent a lot of time thinking about and working on business valuations across a broad range of transactions. Given that I’m a visual learner, I thought it would be helpful to illustrate my thoughts in a diagram. Click to enlarge Source: CFI Top Down vs. Bottom Up As I look at the diagram it logically flows from top to bottom, however, when building a financial model to value a business I usually think about it bottom up, and in an iterative way. I start in the bottom left corner of the diagram with historical financials, working my way up to the top, then back down again to build the forecast financials (and repeat the process again). 1. Historical Financials The first place to start when valuing a business is usually with historical financial statements. The past matters a lot when performing a valuation as it informs a view of the future and what’s realistically possible. The future, of course, is heavily influenced by what the company’s assets, management team, competition and markets will do going forward. 2. Assets Examining the asset base in conjunction with the historical income statement will paint a picture of the business’ ability to generate a return on those assets (“ROA” net income divided by total assets), and most importantly, generate free cash flow (operating cash flow less capital expenditures). When evaluating a business’ assets it’s important to look at both tangible (property, plant, equipment, etc.) and intangible assets (brands, customer lists, intellectual property, etc.). 3. Management Track-record Assessing management can be quite challenging, especially if you don’t have the opportunity to meet them in person (which is the case for most retail investors). An easy way to evaluate their performance is to look back at historical guidance (if a public company) and measure it against results achieved. Do you see a consistent trend of missing, meeting, or beating guidance? Measuring the track-record combined with in-person meetings to assess integrity, honesty, work ethic, etc. will be the best way to decide whether you assign a “management premium” or “management discount” to the business. 4. Competition What is the current state of competition in this industry? Are barriers to entry high or low, and how much pricing power does the company have? Answers to these types questions (and others listed in the diagram above) will help shape your view of risk and the company’s ability to protect profits (which will be reflected in the forecast financials). 5. “Moat” Warren Buffett and Charlie Munger are notorious for buying business that have wide moats around them, or more literally, have durable competitive advantages. Examples of companies with big moats around them include Google (NASDAQ: GOOG ) (NASDAQ: GOOGL ) (Alphabet), railroad companies (infrastructure), Coca Cola (NYSE: KO ) (its brand), and business with network effects like Facebook (NASDAQ: FB ) and Amazon (NASDAQ: AMZN ). The wider the moat, the longer the company will be able to earn above average profits, and the lower the risk of the investment. The inverse it true for companies with little to no moat. 6. Culture & Strategy I group these two together because they are two of the main objectives of the CEO. Culture is critical as it drives the “Why” of an organization (see Simon Sinek) and motivates people to create a business that can change the world (even if in some small way). Culture is also critical for driving company behavior such as honesty and integrity, which lowers the risk of the business. Next in importance is strategy (i.e. “strategy eats culture for breakfast” ?) as this will be critical in maintaining any durable competitive advantage that a company has, or is attempting to gain/increase. 7. Future Assets Based on the strategy of the business, what will the assets look like in the future? Will the company have to significantly invest to grow the asset base, and if so, what types of ROA will they earn? It’s important to think carefully about how much capital is required to sustain and grow the assets (based on the strategy) and how those assets will create value in the form of free cash flow generation. The details/inputs behind these assets will generate the “principles” or drivers of the financial model. 8. Forecast Financials With a deep understanding of the industry, management (culture & strategy), and the business’ assets it’s now possible to forecast future financial statements. A good model will dis-aggregate the various drivers of revenues, expenses, etc. and present them as inputs that can easily be changed. Depending on the industry or maturity of the business you may forecast out anywhere from 5 years to the end of an asset’s life. 9. Discount Rate Once the financial forecast is in place, setting up the discounted cash flow (“DCF”) model is just simple mechanics in Excel. The most challenging and subjective part of the DCF model is determining what discount rate to use. There are specific formulas you can use based on interest rates and relative volatility, but the essence of the discount rate is captured in most of the qualitative issues discussed above: stability of assets, durability of a moat, competence of management, risk of changes in competitive dynamics, and risk of changes in markets (i.e. government regulation). Taking all of these into account will determine what discount rate you think is appropriate to account for the riskiness of the investment. To the extent you have risk-adjusted the cash flows directly in the model (for the risks discussed above), you don’t need to include those risks in the discount rate (i.e. a perfectly risk adjusted cash flow forecast would be discounted at only the appropriate risk free government treasury rate). 10. Price The net present value (“NPV”) of future cash flows gives you the value of the business, but how much are you willing to pay for it? Value investors will typically want to build in a margin of safety (say 20-30%) by paying less than the intrinsic value. Other investors pay full value if they are willing to accept the discount rate as their internal rate of return (“IRR”). Investors typically look at comparable companies or past transaction (acquisitions) to see what other people are willing to pay for similar business (this adds an element of game theory or “greater fool theory” and moves away from intrinsic value). Conclusion This is how I think about valuation when building a financial model and I hope you found it insightful. I’m a visual learner and find it useful to organize mental models, like valuation, on paper. The key takeaway for me is that valuation is an iterative process — you really have to cycle through things like markets, competition, management, and assets multiple times before you can build a reliable financial forecast and discount it back to today. 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.