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Bring Data

When doing financial modeling, one of the first things to look at is if your empirical work makes sense. In other words, are there valid economic reasons why a model should work? This can help you avoid drawing erroneous conclusions based on creative data mining. [1] Next, you should look for robustness. This can take several forms. One of the most common robustness tests is to see how well a model does when it is applied to somewhat different markets. Even though equities have historically offered the highest risk premium, it is desirable to see a model do well when it is also applied to other financial markets. Another robustness test is to see if a model is consistent over time. You do not want to see success based on spurious short periods of good fortune. Similarly, you would like to see a model hold up well over a range of parameter values. Getting lucky can be good in some things, but not in financial research. Relative and absolute momentum have held up well according to all of the above criteria. But now that momentum is attracting more attention, it is important to remain vigilant and to keep robustness in mind. What makes this especially true is the natural tendency to come up with modifications and “enhancements” that can add complexity to a once-simple model. An interesting new paper by Dietvorst, Simmons, and Massey (2015) called ” Overcoming Algorithm Aversion: People Will Use Algorithms if They Can (Even Slightly) Modify Them ,” shows that people are considerably more likely to adopt a model if they can modify it. Everyone likes to feel that they have some personal involvement with a model, and that they may have made it better. But simpler is often better in the long run. Data-mined “enhancements” may fit the existing data well, but may not hold up on new data or over longer periods of time. I have seen dozens of variations and “enhancements” to momentum, and I will undoubtedly see many more in the days ahead. One variation that attracted considerable attention a few years ago was by Novy-Marx (2012), who found that the first six months of the lookback period for individual stocks gave higher profits than the more recent six months. This became known as the “echo effect.” However, it never made much sense to me. So I tested the echo effect on stock indices, stock sectors, and assets other than stocks. I was not surprised when incorporating the echo effect gave worse results than the normal way of calculating momentum. A subsequent study by Goyal and Wahal (2013) showed that the echo effect was invalid in 37 markets outside the U.S. Goyal and Wahal also demonstrated that the echo effect was largely driven by short-term reversals stemming from the second to the last month. Overreaction to news leading to short-term mean reversion of individual stocks does make sense. Prior to that time, only the last month was routinely skipped when calculating momentum for stocks. [2] Based on this finding, the latest research papers skip the prior two months instead of just the last month when calculating individual stock momentum. [3] While robustness tests are very important, the best validation of a trading model is to see how it performs on additional out-of-sample data. The statistician W. Edwards Deming once said, “In God we trust; everyone else bring data.” When I first developed the dual momentum-based Global Equities Momentum (GEM) model, my backtest went to January 1974. This is because the Barclays Capital bond index data I was using began in January 1973. I am now able to access Ibbotson bond index data, which has a much longer history. My GEM constraint has now changed to the MSCI stock index data going back to January 1970. Having this additional bond data, I have another three years of out-of-sample performance for GEM. My new backtest includes the 1973-74 bear market, and shows dual momentum sidestepping the carnage of another severe bear market. (click to enlarge) GEM is more attractive than it was previously on both an absolute basis and relative to common benchmarks. Here is summary performance information from January 1971 through July 2015. 60/40 is 60% S&P 500 and 40% Barclays Capital U.S. Aggregate Bonds (prior to January 1976, Ibbotson U.S. Government Intermediate Bonds). Monthly returns (updated each month) can be found on the Performance page of our website. GEM S&P 500 60/40 Ann Rtn 18.2 11.9 10.2 Std Dev 12.5 15.2 9.8 Sharpe 0.91 0.38 0.44 Max DD -17.8 -50.9 -32.5 Results are hypothetical, are NOT an indicator of future results, and do NOT represent returns that any investor actually attained. Indexes are unmanaged, do not reflect management or trading fees, and one cannot invest directly in an index. Please see our GEM Performance and Disclaimer pages for more information. In our next article, we will look at longer out-of-sample performance using the world’s longest backtests. Fortunately for us, these were done to further validate simple relative and absolute momentum. [1] For example, between 1978 and 2008, U.S. stocks had an annual return of 13.9% when a U.S. model was on the cover of the annual Sports Illustrated swimsuit issue versus 7.2% when a non-U.S. model was on the cover. [2] Short-term mean reversion is not an issue with stock indices or other asset classes, so the last two months do not need to be excluded from their momentum lookback period. [3] See Geczy and Samonov (2015). The discovery of two-month mean reversion is an example of the Fleming effect in which different but related research can lead to serendipitous results.

Rate Hike Fears Spark 2015’s Biggest Bond Fund Outflow

According to the latest data from the Investment Company Institute, U.S.-based bond funds witnessed the biggest outflows in 2015. The year’s biggest outflow was attributed to the increasing fears about the possibility of the first rate hike in September. For the week ending July 29, $4.7 billion was pulled out of the US bond funds. This was the biggest weekly outflow since mid December and also reversed the $1.6 billion of inflows in the prior week. Certain dismal economic data, such as the decline in ISM manufacturing index and weak wage growth data, have negated the Fed rate hike possibilities momentarily. Nonetheless, the balance towards the possibilities of rate hike is stronger, which is further evident from the bond fund outflows. The primary forms of bond risk include default risk and the interest rate risk. A low interest rate environment is favorable for investments in bond funds. This stems from the fact that the market value of a bond is inversely proportional to interest rates. Government bond prices usually move up when yields drop along with lower interest rates. Outcome of Latest FOMC Meeting The Federal Open Market Committee’s two-day policy meeting gave no clear indication on the timing of the first rate hike. However, the door for a September rate hike was kept open. The policy makers said: “The labor market continued to improve, with solid job gains and declining unemployment”. The committee also said that “economic activity has been expanding moderately in recent months” and that there has been “moderate” improvement in consumer spending levels along with an “additional improvement” in the housing market. These comments did raise speculations of a possible rate hike in September or at the most in December. However, the committee also mentioned “inflation continued to run below the Committee’s longer-run objective.” The central bank’s inflation target is 2%. The Fed remained dovish about economic health, which increased September rate hike possibilities. The Federal Reserve Chairwoman Janet Yellen stated that the U.S. economy will strengthen and expects the central bank to hike interest rates “at some point this year.” Fed Officials Signal Hike in September In an interview with The Wall Street Journal, Atlanta Fed Reserve president Dennis Lockhart signaled that the Fed is preparing for a rate hike in September. He said that the given economic scenario is “appropriate” to opt for a rate hike in near future unless the economy witnesses a “significant deterioration”. He stated: “I think there is a high bar right now to not acting, speaking for myself… My priors going into the (September) meeting as of today are that the economy is ready and it is an appropriate time to make a change.” Last month, San Francisco Fed President John Williams said that a rate hike could take place as soon as September. Williams believes that inflation will soon increase to the Fed’s target rate of 2%. There was a high probability that it could go even higher by the end of next year. Williams added that full employment could be achieved even before the end of 2016. His views are of particular significance since he is a voting member of the Fed’s decision-making body. Additionally, he takes a moderate stance on such issues, consistent with the position of the current Fed Chair. Previously, New York Fed President William Dudley had said a rate hike would be “very much in play” during the Fed’s September meeting. Dudley added that this was, of course, associated with continuing evidence that the economy was continuing to recover. International Bond Funds as Alternative? As the Fed hikes interest rates, a sell-off in bond funds is likely to take place as investors switch to safer choices. Some experts have even suggested that investors should move out of such securities as soon as the rate hike takes place. The influential Carl Icahn also expressed similar views. He said the junk bond market was “extremely overheated.” However, for investors interested in the space, there are actually some alternatives they can try. International bond funds are great alternatives, as they are one of the best ways to balance losses incurred from US markets, since interest rate fluctuations differ from country to country. Considered to be among the world’s largest asset classes, international bond funds show little correlation with domestic equities and only moderate correlation with investment grade domestic debt. They also help in diversifying currency exposure and protecting assets against a long-term secular decline in the U.S. dollar. Below we present 3 international bond – developed mutual funds that carry either a Zacks Mutual Fund Rank #1 (Strong Buy) and Zacks Mutual Fund Rank #2 (Buy). Goldman Sachs High Yield Floating Rate A (MUTF: GFRAX ) seeks high current income. GFRAX invests a lion’s share of its assets in domestic or foreign floating rate loans and other floating or variable rate obligations that are rated below investment grade. GFRAX may invest a maximum of 20% of its assets in fixed income instruments regardless of their ratings. These may comprise fixed rate corporate bonds, government bonds and convertible debt obligations among others. GFRAX currently carries a Zacks Mutual Fund Rank #1 (Strong Buy). The year-to-date and 1-year returns are 1.9% and 1.7%. The 3-year annualized return is 3.2%. The expense ratio of 0.94% is lower than the category average of 1.11%. Payden Global Fixed Income (MUTF: PYGFX ) invests in varied debt instruments and income-producing securities. A minimum of 65% of assets is invested in investment grade debt securities. A maximum of 35% of assets may be invested in junk bonds. However, the overall average credit quality of the fund will be investment grade. PYGFX currently carries a Zacks Mutual Fund Rank #1 (Strong Buy). The year-to-date and 1-year returns are 1.5% and 3.9%. The 3-year and 5-year annualized returns are 3.6% and 4%. The expense ratio of 0.7% is lower than the category average of 1.03%. Eaton Vance Global Macro Absolute Return A (MUTF: EAGMX ) invests in securities and derivatives among other instruments to gain short and long investment exposures across the globe. The short and long investments are sovereign exposures, which include currencies, interest rates and debt instruments. EAGMX invests in many countries and has significant exposure to foreign currencies. EAGMX currently carries a Zacks Mutual Fund Rank #1 (Strong Buy). The year-to-date and 1-year returns are 1.7% and 3.1%. The 3-year annualized return is 1.8%. The expense ratio of 1.05% is lower than the category average of 1.28%. Original Post

DCF Myth 2: A DCF Is An Exercise In Modeling And Number Crunching!

Most people don’t trust DCF valuations, and with good reason. Analysts find ways to hide their bias in their inputs and use complexity to intimidate those who not as well versed in the valuation game. This may surprise you, but I understand and share that mistrust, especially since I know how easy it is to manipulate numbers to yield almost any value that you want, and to delude yourself, in the process. It is for this reason that I have argued that the test of a valuation is not in the inputs or in the modeling, but in the story underlying the numbers and how well that story holds up to scrutiny. Left brain, meet right brain! This fall, as I have twice a year, for almost 30 years, I will be teaching a valuation class at the Stern School of Business at New York University. When the 300 registered students walk into my classroom, I know that they will come in with preconceptions about what the class will cover. Many will bring in their laptops, with the latest version of Microsoft Excel installed, eagerly anticipating session after session on modeling, hoping to become Excel Ninjas, by the time the class is done. They expect it to be a class about numbers, more numbers and still more numbers, with Greek alphabets (alphas and betas) thrown in. I begin the class by asking students to tell me whether each of them is more comfortable with numbers or with stories, and not surprisingly, the class draws disproportionately large numbers of the former, but there are more than a handful of the latter. (There are a number of tests online, like this one , that you can take to make this judgment for yourself, but most of us have a sense without tests.). I then explain my vision of valuation, as a bridge between the two groups, a way of connecting narratives to numbers. While this picture is only an abstraction in that first class, the rest of the class is really my attempt to flesh out the picture and make the bridge real. I don’t always succeed, but my vision of a successful class is that my number crunchers walk out with a little more imagination and that my storytellers acquire a bit more discipline along the way. Connecting Stories to Numbers: The Process The process by which you connect stories to numbers is neither obvious nor intuitive, but it can be learned. In an earlier post on the topic , I laid out five steps in this process, not intended to be either exhaustive or sequential. To illustrate, consider Amazon (NASDAQ: AMZN ), a high profile company where the world is divided into those that believe that it is an extraordinary company with a plan to conquer the world and those that use it as an example of how you can fool a lot of people for a really long time. In a post in October 2014 , I valued Amazon and arrived at a value of $175 per share. (click to enlarge) Rather than get stuck into the details, it is worth laying bare the narrative that I have for Amazon that is determining its value. In my story, Amazon will continue on its path of delivering high revenue growth (with revenues growing to $249 billion by year 10), generally by selling products or offering services at or below cost for the near future (note that margins stay close to zero for the next 5 years), but will eventually start to use its market power to deliver profits, but this market power will be checked by the entry of new players into the retail business, leaving the target margin at a number (7.36%) that reflects the overall retail business in 2014. To see where the optimists in the spectrum come up with higher value, consider an alternative narrative, where Amazon’s market power is unchecked allowing it to expand into more extensively in the media market (with revenues of $329 billion in year 10) and earn an operating margin of 12.84% (the 75th percentile of retail/media firms). Those changes increase the value per share to $468/share. (click to enlarge) To complete the process, consider the pessimistic narrative. In their story, they see Amazon as a company with a charismatic CEO (Jeff Bezos) who is less interested in creating a profitable business than he is in changing the retail world. In that story, Amazon will continue to grow revenues with little attention paid to margins, with the end game being world domination (at least of the retail business). In the valuation, that translates into higher revenue growth and paper-thin operating margins (2.85%, the 25th percentile of large US retail/media firms), even in steady state, the value per share drops to $32/share. (click to enlarge) I followed up my post on narratives and numbers with one on how a change, shift or break in the narrative can translate into a significant change in value , and why the conventional view that intrinsic value, if done right, is timeless is nonsense. Using earnings reports as the vehicles that deliver news about narratives, I looked at my narratives for Apple (NASDAQ: AAPL ), Twitter (NYSE: TWTR ) and Facebook (NASDAQ: FB ) in August 2014, and valued them. Since the last few weeks have brought new earnings reports from all three companies, I will be doing an updated version of that post in the next few days. If you are a number cruncher, this process may seem too free form and subjective to you, and if you are a storyteller, the numbers will seem made up. To me, though, it is the essence of valuation and if you are interested in my extended discussion of this process of connecting narratives to numbers, you may want to take a look at this keynote talk that I gave at the CFA Institute Conference last year. I have to warn you that the length of the webcast (almost 3 hours) could lead you to seek the protection of the Geneva Conventions. Tie to the life cycle: The Investor Angle While narrative and numbers are tied together in every company’s valuation, the importance of each in driving value will shift over a company’s life cycle, as it evolves from a start up to a mature firm to one in decline. Very early in the life cycle, when numbers on the company are either scarce or uninformative, it is almost entirely narrative that drives value. In addition, that narrative can also have a much wider range of possibilities and end values, depending on the path that you map out for the company. In December 2014, I let readers pick their narrative for Uber and mapped out widely divergent values (ranging from less than $1 billion to in excess of $90 billion) for the company, based on the narrative path picked. As companies mature, the numbers start to get weighted more, as it becomes more difficult for companies to not only break away from the past, but the pathways narrow. If you are valuing Coca-Cola (NYSE: KO ), for instance, it is more difficult to visualize explosive breakaways (either up or down in the narrative), though not impossible. If you are an investor uninterested in valuing companies, there are still lessons that you can draw from the link between where a company is in its life cycle and the importance of narrative/numbers. Value Differences: If you get big differences in the perceived value of a young company, they come from fundamentally different narratives about the company, not disagreements about the numbers. Thus, if your assessment of Etsy’s (NASDAQ: ETSY ) value is very different from mine, it is not because we disagree about revenue growth next year but because we have fundamentally different narratives about the company. Value focus: Early in the life cycle, large value changes have to come from large narrative shifts (resulting in large changes in value). Consequently, the focus when you scrutinize earnings reports and other news announcements should be on whether they change your narrative, not on whether the company met or beat some metric (earnings per share, revenues, number of users). To illustrate, much as I have taken issue with the market pricing of Tesla (NASDAQ: TSLA ), I think it seems to me an overreaction, to knock off 15% of its price because it sold 50,000 cars instead of 55,000 , since I see little change in the narrative for Tesla, as a consequence. In contrast, I do think that Tesla’s announcement of a $5 billion investment in a battery factory is cause for a big narrative change (though I am still trying to figure out in which direction), as it may shift your view of the company for an auto manufacturer to an energy producer. (I know… I know… It is time for another look at Tesla as well, and I will…) Value mistakes: If the essence of investing is finding misvalued companies, it seems to me that the odds of doing so are greater early in a company’s life cycle, where narratives can get mangled or when investors overreact to incremental reports. As the investment world gets flatter (in terms of everyone having access to past numbers), the most successful investors of the next millennium will be those are skilled at creating and fine tuning narratives for young companies or those in transition. Tie to the Life Cycle: Implications for managers The link between narratives and value has implications for those who run businesses and for what defines success for a top manager as companies move through the life cycle. Narrative control: If it is narrative that drives value early in the process, it should come as no surprise that the most successful entrepreneurs are the ones who are best at establishing narratives that are compelling, plausible and potentially profitable. Thus, Tesla is lucky to have Elon Musk as a CEO, and Uber has been fortunate with Travis Kalanick at its helm. Both men have their faults (who does not?), but they are enormously gifted storytellers, who (for the most part) have the discipline to stick with their narratives, even in the face of distractions. Narrative consistency: One characteristic that sets apart top managers at those young growth companies that have succeeded is that they have (a) not changed their narratives substantively and (b) have acted consistently with their narratives. The stand out example for this is Jeff Bezos, who has stuck with his narrative of “revenues now, profits later” story for Amazon, sometimes to the chagrin of analysts, and everything that the company has done and continues to do advances that narrative. Mark Zuckerberg has been almost as impressive in his focus on turning Facebook’s immense user base into profits, albeit over a shorter period, but one reason for Twitter’s travails is that there seems to be no coherent narrative emerging about how the company ultimately plans to make money. Bar Mitzvah Moments: In keeping with the theme of this post, which is that narratives have to be tied to numbers, it is worth emphasizing that even the most compelling and consistent narrative will ultimately fail, if the company cannot deliver the numbers to back it up. It is true that this “day of reckoning”, which I labeled a “bar mitzvah” moment , may come later for some companies than for others, but when it does come, you need a management team that recognizes that the market has shifted its focus from narrative to numbers, and behaves accordingly. I have tried to capture the change in balance between narrative and numbers, with the management qualities that are most needed at each stage in the picture below: (click to enlarge) As a company makes it move from young start-up to growth company to mature business, the characteristics that make up a good CEO will change as well. One argument for a strong board of directors and shareholder power even at a well-managed young company is that there may well come a time when the top management has to change with the times or be changed. Work on your weak side There is no one path to valuation nirvana, but I think that you need to find a balance between your storytelling and your number crunching skills, for your valuations to have heft. This balance may come easier to you than it did to me, since my natural instincts are to go with the numbers, and building my storytelling side has been slow going, at times. With each valuation that I do, I still have to force myself to be explicit about the narrative that I am building my valuation around, even when it seems obvious, and each time I do it, it gets a little easier. If you are a natural storyteller, you will probably find yourself resisting just as strongly to working with numbers, but I believe that you too will find a way to strengthen your weak side. I would like to think that a valuation that is the result of both sides of my brain working together is better than one that emerges out of only my left side, but even if it is not, it is a lot more fun getting there. Blog Posts Narrative and Numbers: Modeling, Story Telling and Investing (June 2014) If you build it (revenues), they (profits) will come: Amazon’s Field of Dreams (October 2014) Reacting to Earnings Reports: Narrative Adjustments and Value Effects (August 2014) Up, up and away: A Crowd Valuation of Uber (December 2014) Twitter’s Bar Mitzvah: Is social media coming of age? (November 17, 2014) Reacting to Earnings Reports II: Apple, Twitter and Facebook revisited (August 2015) (Still to come) Valuations Amazon Valuation (October 2014) Uber Valuation (December 2014) Other My keynote talk at the CFA Conference in November 2014 DCF Myth Posts Introductory Post: DCF Valuations: Academic Exercise, Sales Pitch or Investor Tool If you have a D(discount rate) and a CF (cash flow), you have a DCF. A DCF is an exercise in modeling & number crunching. You cannot do a DCF when there is too much uncertainty. The most critical input in a DCF is the discount rate and if you don’t believe in modern portfolio theory (or beta), you cannot use a DCF. If most of your value in a DCF comes from the terminal value, there is something wrong with your DCF. A DCF requires too many assumptions and can be manipulated to yield any value you want. A DCF cannot value brand name or other intangibles. A DCF yields a conservative estimate of value. If your DCF value changes significantly over time, there is either something wrong with your valuation. A DCF is an academic exercise.