Tag Archives: fn-end

2 New Alternative ETNs Launched In December

A pair of new exchange-traded notes (ETNs) launched last month: One providing investors with the price return of a diversified basket of MLPs; the other a targeted-volatility and VIX “roll yield” strategy. ETNs, which are unsecured notes backed by the faith and credit of the issuer, trade on exchanges like shares of stock or ETFs. The Credit Suisse S&P MLP Index ETN (NYSEARCA: MLPO ) The Credit Suisse S&P MLP Index ETN debuted on December 2. It provides exposure to the price return of the S&P MLP Index, which includes both MLPs (master limited partnerships) and publicly traded LLCs (limited liability companies). Index components must be from either the energy sector or gas-utility sector, with market capitalizations of at least $300 million. The index is cap-weighted, but no constituent may constitute more than 15% of the total index, and constituents that account for more than 4.5% may not combine to account for more than 45%, as a group. Although the ETN launched last month, the index has been calculated live since September 6, 2007. For the five years ending November 28, 2014, the total return S&P MLP Index returned an annualized 17.80%, besting the S&P 500’s total return of 15.45%. However, the new Credit Suisse S&P MLP Index ETN provides exposure to only the price return of the index, which returned 11.18% for the five years ending 12/31/14. The wide difference between the total return and price return of the index is due to the large yield distributed by MLPs. The net-expense ratio of MLPO is 0.95%. Investors looking for a total return on the S&P MLP Index can look to the iPath S&P MLP ETN (NYSEARCA: IMLP ), which was launched in on January 3, 2013 and carries an expense ratio of 0.80%. As of November 28, the ETNs five largest holdings were Enterprise Product Partners (NYSE: EPD ), Energy Transfer Equity (NYSE: ETE ), Plains All American Pipeline (NYSE: PAA ), Magellan Midstream Partners (NYSE: MMP ), and Energy Transfer Partners (NYSE: ETP ). The new ETN joins the ranks of nine other alternative ETNs offered by Credit Suisse: Long/Short Equity Index ETN (NYSEARCA: CSLS ) Equal Weight MLP Index ETN (NYSEARCA: MLPN ) Merger Arbitrage Index ETN (NYSEARCA: CSMA ) Leveraged Merger Arbitrage Index ETN (NYSEARCA: CSMB ) Market Neutral Index ETN (NYSEARCA: CSMN ) Gold Shares Covered Call ETN (NASDAQ: GLDI ) The Credit Suisse Commodity Benchmark ETN (NYSEARCA: CSCB ) Silver Shares Covered Call ETN (NASDAQ: SLVO ) The Credit Suisse Commodity Rotation ETN (NYSEARCA: CSCR ) For more information about MLPO, read the fund’s prospectus . The ETRACS S&P 500 VEQTOR Switch ETN (NYSEARCA: VQTS ) The ETRACS S&P 500 VEQTOR Switch ETN launched on December 3. The ETN is linked to a volatility-targeted S&P 500 index strategy and a long/short VIX futures strategy. The VIX futures component is intended to capture VIX “roll yields” and volatility drops when allocated to short positions in VIX futures; and VIX upside during volatility spikes when allocated to long positions in VIX futures. The ETRACS S&P 500 VEQTOR Switch ETN tracks the performance of the S&P 500 VEQTOR Switch Index, which seeks to “simulate a dynamic portfolio that allocates between equity and volatility based on realized volatility in the broad equity market.” The index launched on November 17, 2014, and has no prior performance history. The ETN’s net-expense ratio is 0.95%. For more information, download a pdf copy of the fund’s prospectus .

Join Them If You Can’t Beat Them: Stop Picking Individual Stocks And Start Living An Easier Life

Summary The S&P has risen 171%. Time to start stock picking? Not necessarily. Let’s go back in time (15 years ago) to find a similar scenario, and let’s find out what John did. Our imaginary fellow investor from that time, John, made a decent amount of money by sticking to the plan and using common sense, while doing less and exposing himself to less risk. Since regular investors are really lagging behind, performing as good as the market is already setting you apart and makes you one of the top investors. My goal of today’s article was to figure out once and for all whether or not I should be going long – not by stock picking – but by buying an ETF of the S&P 500, so that I actually don’t have to do anything. If I had a dollar for every time I heard and read that “95% of individual investors don’t beat the market”, I’d have a lot of dollars. And yet still, while this seems to be a 100% accurate fact, I refused (until this point) to believe that I’m part of that 95% and hoped that I’ll beat the market over time. Does this make me an idiot or just a typical human being? I don’t know. But what I do know is that there are still a lot of stock pickers out there that are just as stubborn as me. 1 in 20 investors So once and for all, as you’re reading this, I hope you’ll realize that only 1 in 20 investors can select a portfolio of active funds that will outperform the market index over a 20-year period. That’s only a 5% chance of success, or a staggering 95% chance of failure. To put this in perspective: Being diagnosed with cancer in your lifetime: 1 in 2 for men, 1 in 3 for women Beating the house in a hand of blackjack: 1 in 2.2 A celebrity marriage lasting a lifetime: 1 in 3 Successfully climbing Mount Everest: 1 in 3 Living to 100 (if you’re 50): 1 in 8 Today’s article will answer a lot of questions for investing teens, investors in their twenties and even investors in their early thirties who are probably bothered by the same question: Should we be buying individual stocks that appear attractive/cheap after the 171% increase in the S&P 500? Or should we be afraid and wait for the next “big crash” before going long? Or should we just surrender to Mister Market no matter what, and start buying the index as a whole today through the oh-so simple S&P 500 ETF (NYSEARCA: SPY ) that follows the entire index, as we’ll be better off following the market in the long run? Let’s go back in time I believe that the only way to get a possible answer to this question is to present ourselves with a similar scenario where investors were probably also asking themselves the same thing, and then look at how things turned out for them if they had acted a certain way. In order to try and do this, I suggest we jump back in time. In fact, let’s jump back exactly 15 years ago to January 7, 2000. (click to enlarge) (Source: Yahoo Finance) The above graph is a representation of what investors were looking at, at that moment in time. SPY was up 215% since January 7, 1995, and was quoting at an all-time high. This reflects the current situation pretty damn well – if not better. (click to enlarge) (Source: Yahoo Finance) SPY is currently up 171% since its lowest point in February 2009, and is also quoting at an all-time high. So 15 years ago, I bet a lot of investors were wondering the same thing. Should we be stock picking? Or should we continue to follow the market. First of all, let’s just admit that deciding to get a position at an all-time high is never a pleasant occasion. It feels like shooting yourself in the foot. It feels like setting yourself up for losses. Especially when thinking about the typical sayings like: “Sell high, buy low” and “Be fearful when others are greedy and greedy when others are fearful”, which are clearly warning you not to get in at all-time highs after a 200% rally. Let’s meet John However, let’s just assume that one of our fellow investors (we’ll call him John for now) was ready to ignore all of his natural human responses/emotions and would just agree with the fact that 95% of individual stock pickers fail, and thus, that he is better off buying SPY no matter what. John feels that it is better to go with the market, “If you can’t beat them, join them”, right? Waiting for the next big correction before getting in seems to be silly, as no one knows when it’ll come. The strategy and situation of our imaginary investor John is the following: John just turned 20, and has decided that he wants to have a nice pension fund by the time he is 60, or perhaps have a nice pile of money by the time he is in his prime, let’s say, forty years old. This gives our investor friend a time horizon of at least 20 years, and when necessary, even 40 years. He then figures that he can miss at least $500 per month. John starts to deposit $500/month in SPY as of January 7, 2000, and will continue to do this at the beginning of each month. John is 35 Now, let’s take a look at how John’s simple strategy has played out so far – 15 years later. After 15 years, John has invested a total of $90.000 ($500 x 180) in the ETF, and the position seems to be worth $176.567,40 as of today. So without having to do anything special, except depositing $500 per month into the ETF (that was quoting at an all-time high when starting), he would have gained $86.567 if he were to sell today. (click to enlarge) John’s performance could have also been achieved if he would have chosen his stocks individually. However, he then needed to achieve an ~8.45% cumulative annual growth rate (see table below). Which is a rather hard thing to do for the average Joe in today’s market, right? ( Source ) Warren Buffett himself did only slightly better, growing Berkshire’s book value by 8.9% annually during the past 15 years. Thereby, let’s not forget that John has had 15 wonderful years. He never had to waste a single minute of his day in order to achieve this 8.45% annual growth rate. He never slept bad. He never worried that he would wake up and all his money would be gone. All he did was execute his simple plan. Let’s assume John is a smart guy Now, let’s assume that John is a smart guy like you and me, and that he tries to seize opportunities whenever they come along. So one day, he notices that his ETF is starting to drop due to the financial crisis. John thinks this is a temporary problem and decides to stick to the plan; in fact, he even tries to double his efforts, and decides to make a deposit of $1000 per month during 2009. (click to enlarge) By injecting an extra $6000 during the 2009 crash, John’s position is now worth a total $191.352,70, and has thus increased with $14.785 because of his extra efforts. John’s cumulative annual growth rate now lies at ~9.5% for the past 15 years, while doing nothing special except using his common sense. This is way higher than what average investors ( 2.6% ) have been achieving during the past 10 years. Conclusion Either you get a thrill out of proving others wrong and will try to actively beat the market – knowing that there’s a rather high chance you won’t beat it – or you’re just not bothered to achieve above-average results, and are happy with whatever the market does. However, as the average investor has achieved a 2.6% return for the past 10 years, and John has been able to scoop a 9.5% annual return by following the market, perhaps doing as well as the market has become an achievement of itself and is already making you special. Because of today’s analysis, I’ve decided to start depositing $500 into SPY each month as of now, as I feel that there is no downside in doing this in the long term. This way, some of my money will at least perform as well as the market. However, I will nonetheless continue to keep a portfolio full of individual stocks, as I also really enjoy investing actively. Even when this means that I’ll have a 95% chance of underperforming the market with this portfolio.

GII Survives My First Round Of Cuts As Poor Liquidity Meets Strong Dividend Yields

Summary I’m taking a look at GII as a candidate for inclusion in my ETF portfolio. The expense ratio isn’t great, but it is within reason. The correlation to SPY is a huge selling point, but the poor liquidity may have made the statistics less reliable. I’m not assessing any tax impacts. Investors should check their own situation for tax exposure. Investors should be seeking to improve their risk adjusted returns. I’m a big fan of using ETFs to achieve the risk adjusted returns relative to the portfolios that a normal investor can generate for themselves after trading costs. I’m working on building a new portfolio and I’m going to be analyzing several of the ETFs that I am considering for my personal portfolio. One of the funds that I’m considering is the SPDR S&P Global Infrastructure ETF (NYSEARCA: GII ). I’ll be performing a substantial portion of my analysis along the lines of modern portfolio theory, so my goal is to find ways to minimize costs while achieving diversification to reduce my risk level. What does GII do? GII attempts to track the total return (before fees and expenses) of S&P Global Infrastructure Index. At least 80% of the assets are invested in funds included in this index. GII falls under the category of “Miscellaneous Sector”. Does GII provide diversification benefits to a portfolio? Each investor may hold a different portfolio, but I use (NYSEARCA: SPY ) as the basis for my analysis. I believe SPY, or another large cap U.S. fund with similar properties, represents the reasonable first step for many investors designing an ETF portfolio. Therefore, I start my diversification analysis by seeing how it works with SPY. I start with an ANOVA table: (click to enlarge) The correlation is excellent at 69%. I want to see low correlations on my investments. Extremely low levels of correlation are wonderful for establishing a more stable portfolio. I consider anything under 50% to be extremely low. However, for equity securities an extremely low correlation is frequently only found when there are substantial issues with trading volumes that may distort the statistics. Standard deviation of daily returns (dividend adjusted, measured since January 2012) The standard deviation is also very good. For GII it is .7760%. For SPY, it is 0.7300% for the same period. SPY usually beats other ETFs in this regard; GII is doing very well comparatively. Because the ETF has fairly low correlation for equity investments and a reasonable standard deviation of returns, it should do fairly well under modern portfolio theory. Liquidity looks fine Average trading volume is bad. The average over the last 10 days was in the ballpark of 5,000 to 6,000 shares. This represents a serious liquidity problem. As I’m writing (market open), the spread is .46%. I’d be very cautious about crossing that spread and would stick to limit orders. In my sample period (about 3 years), there were 31 days where the dividend adjusted close did not change at all. Those days may represent days in which no shares changed hands and thus a change in fair value would not be recorded. Such an event could significantly damage the reliability of the statistics for correlation and standard deviation. I will perform the rest of the analysis treating the standard deviation and correlation as being reliable and valid numbers, but investors should be aware that the poor liquidity may have significantly changed the results. Mixing it with SPY I also run comparisons on the standard deviation of daily returns for the portfolio assuming that the portfolio is combined with the S&P 500. For research, I assume daily rebalancing because it dramatically simplifies the math. With a 50/50 weighting in a portfolio holding only SPY and GII, the standard deviation of daily returns across the entire portfolio is 0.6930%. With 80% in SPY and 20% in GII, the standard deviation of the portfolio would have been .7006%. If an investor wanted to use GII as a supplement to their portfolio, the standard deviation across the portfolio with 95% in SPY and 5% in GII would have been .7210%. Why I use standard deviation of daily returns I don’t believe historical returns have predictive power for future returns, but I do believe historical values for standard deviations of returns relative to other ETFs have some predictive power on future risks and correlations. Yield & Taxes The distribution yield is 3.12%. The SEC yield is 2.90%. That appears to be a respectable yield. This ETF could be worth considering for retiring investors. I like to see strong yields for retiring portfolios because I don’t want to touch the principal. By investing in ETFs I’m removing some of the human emotions, such as panic. Higher yields imply lower growth rates (without reinvestment) over the long term, but that is an acceptable trade off in my opinion. I’m not a CPA or CFP, so I’m not assessing any tax impacts. Expense Ratio The ETF is posting .40% for a gross expense ratio, and .40% for a net expense ratio. I want diversification, I want stability, and I don’t want to pay for them. The expense ratio on this fund is higher than I want to pay for equity securities, but not high enough to make me eliminate it from consideration. I view expense ratios as a very important part of the long term return picture because I want to hold the ETF for a time period measured in decades. Market to NAV The ETF is at a .09% premium to NAV currently. Premiums or discounts to NAV can change very quickly so investors should check prior to putting in an order. Generally, I don’t trust deviations from NAV and I will have a strong resistance to paying any meaningful premium to NAV to enter into a position. While the .09% premium isn’t too bad, the spread is still a concern. Largest Holdings The diversification within the ETF is mediocre. There are 7 investments that are each over 3% of the total investments, so I’m not overly impressed by the diversification within the portfolio. The value for correlation was great for an equity security, and if that correlation was based on much higher trading volumes I would be confident enough to disregard some of the concentration within the portfolio. (click to enlarge) Conclusion I’m currently screening a large volume of ETFs for my own portfolio. The portfolio I’m building is through Schwab, so I’m able to trade GII with no commissions. I have a strong preference for researching ETFs that are free to trade in my account, so most of my research will be on ETFs that fall under the “ETF OneSource” program. The best argument for the ETF, in my opinion, is that it has a very favorable level of correlation (NYSE: LOW ) with SPY and a strong dividend yield. If further testing on the correlation supports the idea that it actually is that low (I’m doubtful), then I would rate the ETF very favorably despite a mediocre expense ratio and poor liquidity. I’m willing to deal with poor liquidity by using limit orders and watching for deviations from NAV if the ETF actually provides meaningful diversification benefits. I’ll keep GII on my list for the next round with a note to dig deeper on correlations and poor liquidity.