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Ride The Coming Fourth Wave Of Wealth Creation With This ETF

Summary Rising yields generally mean the economy is improving, which should benefit companies that depend on corporate and consumer spending. Technology is at the edge of another transformative wave. The acceleration of global population aging is going to drive demand across the biotech sector. Ride the coming transformative wave with this unique ETF that targets both technology and biotech and has consistently outperformed the broader market by a wide margin. Michio Kaku is a world-renowned, American futurist and theoretical physicist. He is a Professor of Theoretical Physics at the City College of New York (CUNY). Kaku has written several books about physics and related topics and has made frequent appearances on radio, television, and film. I recently had the pleasure of listening to him speak at an event in Boston. During his talk, he described the past three waves of wealth generation and shared his vision of how technology will shape the future. The question today is: what is the fourth wave? The first wave was steam power, the second wave was electricity, the third wave was high technology – all of it unleashed by physicists. What is the fourth wave of wealth generation? It’s going to be on the molecular level: nanotech, biotech and artificial intelligence . – Michio Kaku. According to Kaku, we’re at the edge of another wave of technological transformation. The world is growing increasingly dependent on technology. Products and services based upon or enhanced by information technology have revolutionized nearly every aspect of human life. The use of IT and its new applications has been extraordinarily rapid across all industries and an IT-Biotech convergence is already well underway. The acceleration of global population aging and technological breakthroughs are going to drive demand across the biotech sector. Longer life spans and increasing rates of chronic conditions will continue to fuel demand for new products and services. Nanotech breakthroughs will spur innovations across a wide range of applications in biotech and healthcare, potentially curing human illness. Multiple platform technologies working in combination – nanotechnology, biotech/genomics, artificial intelligence, robotic and ubiquitous connectivity – are going to lead to increasing profits for the dominant players utilizing these technologies. Many ETF issuers are coming up with innovative concepts targeting these technological transformative areas. The iShares Exponential Technologies ETF (NYSEARCA: XT ), with an annual expense ratio of 0.30%, attempts to track the developed and emerging market companies which create or use exponential technologies such as big data and analytics, nanotechnology, medicine and neuroscience, networks and computer systems, energy and environmental systems, robotics, 3-D printing, bioinformatics, and financial services innovation. (click to enlarge) There are funds targeting cloud computing such as the First Trust ISE Cloud Computing Index Fund (NASDAQ: SKYY ), which has annual expense ratio of 0.60%. The Robo-Stox Global Robotics and Automation Index ETF (NASDAQ: ROBO ), with an annual expense ratio of 0.95%, targets the robotics industry or you could own the Purefunds ISE Cyber Security ETF (NYSEARCA: HACK ), for 0.75% per year, which holds a portfolio of companies in the cyber security space. SKYY and HACK both follow the technology sector solely while ROBO and XT follow multiple sectors. Although many of these ETFs hold a few well-known, large-cap companies, most are fairly expensive and have so far proven to be more volatile than the broader technology sector. Because they have a short history, and until many of the smaller Exponential Technology companies achieve consistent profit growth, I prefer to ride the coming tech-biotech transformative wave with a portfolio of large, high-quality companies – market leaders within their respective industries, with a history of delivering consistent revenue growth. These large-cap market leaders are, no doubt, aware of how emerging technologies might bring them new customers or force them to defend their existing bases or even inspire them to invent new strategic business models. Many successful small-cap companies with disruptive technologies will eventually become dominant large-cap players. In fact, the NASDAQ’s dominant players have changed drastically in the last 15 years and probably will look much different in the future. You can capture this large-cap dynamic dominance with one of our favorite, can’t miss ETFs, the tech-heavy PowerShares QQQ ETF (NASDAQ: QQQ ), a unique fund that targets both technology and biotech and has outperformed the broader market by a wide margin for more than a decade. (click to enlarge) The QQQ is an ETF based on the NASDAQ 100 Index. The Index includes 100 of the largest domestic and international non-financial companies listed on the Nasdaq Stock Market based on market capitalization. The fund is rebalanced quarterly and reconstituted annually. Besides being a 5-Star Morningstar-rated ETF with an expense ratio of just 0.20%, QQQ has delivered consistently superior returns during most time periods over the last decade. QQQ Sector Allocation: (click to enlarge) The top 10 holdings of QQQ consist primarily of U.S. technology, and also include Gilead Sciences (NASDAQ: GILD ), a major biotechnology firm, Amazon (NASDAQ: AMZN ), an e-commerce retailer and Comcast (NASDAQ: CMCSA ), a media/entertainment giant. QQQ Top 10 Holdings: (click to enlarge) In addition to the technology names in the above graphic, the QQQ holds another 36 big-tech firms including Qualcomm (NASDAQ: QCOM ), Texas Instruments (NASDAQ: TXN ) and Baidu (NASDAQ: BIDU ) to name a few. Besides Amazon and Comcast , there are 31 additional Consumer Discretionary names including Netflix (NASDAQ: NFLX ), Tesla (NASDAQ: TSLA ) and Priceline (NASDAQ: PCLN ). And besides Gilead, the QQQ’s biotech holdings consist of 15 more companies including Celegene (NASDAQ: CELG ), Amgen (NASDAQ: AMGN ) and Biogen (NASDAQ: BIIB ). Over 55% of the QQQ is tech. Technology is a cyclical industry. When the economy gets stronger, cyclical sectors like technology have tended to generate higher revenues from increased consumer and corporate spending. So its relative performance tends to rise and fall with the strength, or lack thereof, of the economy. However, a number of technological innovations – from nanotech applications to cloud computing to mobile connectivity – are spurring migration to new technologies. This migration may continue regardless of the overall condition of the global economy. Some solid, pure technology funds include the Technology Select Sector SPDR ETF (NYSEARCA: XLK ), the iShares U.S. Technology ETF (NYSEARCA: IYW ), the Vanguard Information Technology ETF (NYSEARCA: VGT ) and the Fidelity Select IT Services Portfolio (MUTF: FBSOX ). However, the aforementioned funds are primarily all tech and not the unique mix of the QQQ. The world’s dependence on technology and the acceleration of global population aging are two megatrends that should drive performance for years to come. Seventy percent of the QQQ’s holdings focus on well-established, high-quality technology and biotech companies. The fund’s consumer discretionary stocks should also benefit from an improving economy while the fund’s consumer staples stocks add a defensive component to the mix. Let’s take a look at how the QQQ has performed over various time frames. The newer Exponential Technology ETFs don’t have a long-term performance record so they cannot be included in this comparison. As you can see in the table below, the QQQ, with its unique structure of one-half tech, one-fifth consumer discretionary and one-seventh biotech, has outperformed the S&P 500 and just about every other large-cap technology fund during most time periods over the past decade, including the iShares S&P 500 Growth ETF (NYSEARCA: IVW ), which holds the fastest growing half of the S&P 500 stocks. QQQ is a kind of quirky fund, but it works. It delivers a unique combination of tech-biotech, growth and large-cap exposure. 10-Year Performance: (click to enlarge) Conclusion Rising yields generally mean that the economy is improving, which should be good for technology and growth companies that depend on corporate and consumer spending. Big tech and biotech companies have the potential to capitalize on two mega-trends for years to come – the increasing global dependence on technology and the acceleration of global population aging. QQQ is in a strong position to benefit from these favorable trends. As Michio Kaku says, “Don’t bet against technology. Be a surfer. Ride the wave of technology, see the wave coming, get on the wave”.

Cotton Holding Its Own Going Into 2016

Summary Despite the plunge in crude oil prices, cotton has remained relatively stable. Ending stocks and production both declined from the 2014/15 planting season. Cotton looks fairly valued here and doesn’t represent a good enough value for a buy recommendation. Welcome back to coverage on the iPath’s Dow Jones-UBS Cotton Total Return Sub-Index ETN (NYSEARCA: BAL ). This ETN has done a perfect job at tracking its index. For more information on the Cotton Index BAL follows and how this ETN tracks it, please check out a previous article here . A Year in Review Overall, cotton had a decent 2015. The biggest story came in the second half of the year. Despite plummeting oil prices, cotton has held its own. We previously discussed how cotton has a correlation to oil in this piece. See below for a comparison between BAL and The United States Oil ETF (NYSEARCA: USO ). In 2015, for the first time in over five years, cotton stocks ended the year lower than where they started. Data points on ending stocks and production decreases have been the main supporter of spot prices through oils decline. A Look Ahead As cotton traders look to 2016 there are two key metrics to keep an eye on, supply and demand. I know, I know, like you didn’t already know how economics work. However, with commodities, spot prices are sometimes supported by a belief that either demand will increase or production will decrease. This is the current case for cotton. Supply As already noted, ending stocks are finally headed in the right direction. However, they are still only about 10% off the all-time high ending stocks set last in 2014. China is solely credited for this as they began increasing their strategic reserves in 2011. As of December 2015 China had 14,157,000 metric tons in stock. This compares with only 6,767,000 in the 2011/12 season. See the spot price of cotton below in response to Chinese policy. The huge spike you see on the chart is the reaction to Chinese reserve policy. In July of 2015 China began selling state owned cotton stocks. Interestingly these supplies were priced at a premium to spot prices at the time. There has been much talk and speculation about the quality of Chinese stocks. The oldest sales in 2015 came from the 2011 harvest season. If there really were quality concerns with these stocks, given the volume sold, we would know more about it by now. I do believe there were isolated cases of quality issues however the widespread concerns and hype was a little overdone. There are five countries that make up the majority of cotton production and in order they are India, China, The United States, Pakistan, and Brazil. Globally production has fallen every year for the past five years. Demand The total consumption of cotton has risen every year for the last five years, despite the loss of market share. The current purchasing volume from mills indicates a consistent to cautious outlook for demand going into 2016. Current ICE cotton futures for December 2016 have ranged from 62-66 cents this year. Currently ICE futures all the way until October of 2018 are trading between 65.43 and 64.34 with the 2018 date representing the lowest in the range. In other words, investors aren’t betting on cotton spiking any time soon. Planting Seasons and Acreage Most volatility in cotton prices takes place into the summer months due to planting seasons. China plants from April to May and harvests from September to October. In northern India cotton is planted from March to June while southern India plants from May to July. In the United States planting occurs mainly from March to May and the harvesting is completed by December. The first half of the calendar year with cotton is spent positioning for what will happen during the second half. Right now there isn’t enough information on projected acreage but that will start to be made available soon as we get closer to planting season. In 2015 global acreage, in millions of hectares, stood at 31.24. This compares to 34.01 during the 2014/15 season. Kilogram yield per hectare also declined for the third straight year from 799 in 2013/14 to a projected 723 as of December 2015. For continuing information on production, demand, and planted acreage I recommend the monthly reports on cotton from the USDA . Conclusion China’s reserve policy will play a dominate roll in 2016 cotton prices. The number of planted acres and production of cotton has continued to decline despite rising demand. Cotton continues to lose market share to other fibers. With the current spot price hovering around 64 cents, this does not offer enough of a discount to what I see being a good value for cotton. Pending any unforeseen production issues, I see cotton remaining relatively flat in the near-term. The risks and rewards of an investment in cotton currently seem fairly even. I would suggest you wait for a better opportunity to initiate any new positions in BAL. Thank you very much for reading and I wish you a very profitable 2016.

Has The CEFL Rebalancing Train Left The Station?

Summary A previous article attempted to predict CEFL/YYY’s new composition for 2016. Three groups of CEFs are analyzed for their recent price, premium/discount and volume behavior. Frontrunning in the underlying CEFs may have already begun. Introduction In last week’s article ” Are You Ready For CEFL’s Year-End Rebalancing ?”, I discussed the fact that not only was the annual rebalancing of the ETRACS Monthly Pay 2xLeveraged Closed-End Fund ETN (NYSEARCA: CEFL ) nearly upon us, but that the index provider has modified its methodology this year so that changes to the index are no longer made public five days before the actual rebalancing event. Ostensibly, this change was enacted to prevent “front-running” of the index (for more information, refer to ” Frontrunning Yield Shares High Income ETF YYY And ETRACS Monthly Pay 2xLeveraged Closed-End Fund ETN CEFL: Could You Have Profited ?”), which last year caused heavy losses to CEFL holders as well as those of the YieldShares High Income ETF (NYSEARCA: YYY ), an unleveraged version of CEFL. Both CEFL and YYY track the ISE High Income Index [symbol YLDA], an index consisting exclusively of close-ended funds [CEFs], and both pay high, monthly distributions. However, although the index changes are not announced publicly beforehand this year, the index methodology is published and available to all. Therefore, I was quite certain that professional investors would be able to apply the index methodology to accurately determine which CEFs were to be added or removed from the index. Therefore, two days ago I attempted to replicate the index methodology in order to level the playing field for Seeking Alpha readers. As described in ” CEFL: A Year In Review, And A Prediction Of What’s Ahead “, my crude attempt to reproduce the rebalancing algorithm resulted in the identification of the 16 CEFs that could be added to the index, and the 16 CEFs that could be removed. 14 CEFs are predicted to remain in the index. I stressed that my predictions were only an estimate given that I used only an approximate volume ranking and also because I did not know the exact date from which the index provider would harvest the CEF data. However, I did receive some confirmation on my predictions from reader waldschm85 : Thanks for the article SC! I recalculated this morning and 27/30 of our holdings match. I did go ahead and use the volume as a filter so that is likely the difference. There are a few like NHF and TDF that I’m worried won’t meet the threshold based on the 90-day average volume from Yahoo Finance. That being said, I’m feeling good that some of your top holdings with solid volume like KYN, NFJ, BCX, RVT, etc. will be in the index. Another astute reader, Jhinkle, noted : 11 out of 15 to be sold had abnormally high volume on the last trading day. As well most were flat to slightly up compared to decent gains on the ones to be added. 3 in fact were down on price. It would seem the action has already started. Therefore, I wanted to analyze whether or not traders were already bidding up the CEFs to be added to the index, and/or selling the CEFs to be removed. I also discuss some implications and strategies that investors may take advantage of during CEFL’s rebalancing event. Has the CEFL rebalancing train already left the station? (click to enlarge) Credit: Ben Brooksbank ( some rights reserved ) Fund rotations In my previous article, I presented preliminary lists of CEFs that I predicted were to be added, removed or that will remain in the index. Below are reproduced the same lists except that I’ve arranged the CEFs in order of size, from largest to smallest. The Top 10 CEFs in each category are shown in bold. Added CEFs: RVT (NYSE: RVT ), BCX (NYSE: BCX ), NFJ (NYSE: NFJ ), DPG (NYSE: DPG ), NHF (NYSE: NHF ), DSL (NYSE: DSL ), CEM (NYSE: CEM ), CSQ (NASDAQ: CSQ ), KYN (NYSE: KYN ), CHI (NASDAQ: CHI ), TDF (NYSE: TDF ), USA (NYSE: USA ), NTG (NYSE: NTG ), FEI (NYSE: FEI ), UTF (NYSE: UTF ), BOE (NYSE: BOE ), ETJ (NYSE: ETJ ) Removed CEFs: NCZ (NYSE: NCZ ), NCV (NYSE: NCV ), BGY (NYSE: BGY ), HYT (NYSE: HYT ), CHW (NASDAQ: CHW ), DSL , ETY (NYSE: ETY ), FPF (NYSE: FPF ), VTA (NYSE: VTA ), MCR (NYSE: MCR ), MMT (NYSE: MMT ), EDD (NYSE: EDD ), JPC (NYSE: JPC ), ISD (NYSE: ISD ), EAD (NYSEMKT: EAD ), ERC (NYSEMKT: ERC ), ESD (NYSE: ESD ) CEFs that remain from last year: EVV (NYSEMKT: EVV ), GHY (NYSE: GHY ), EXG (NYSE: EXG ), AOD (NYSE: AOD ), PCI (NYSE: PCI ), GLO (NYSEMKT: GLO ), DSL , AWP (NYSE: AWP ), IGD (NYSE: IGD ), GGN (NYSEMKT: GGN ), FAX (NYSEMKT: FAX ), BGB (NYSE: BGB ), BIT (NYSE: BIT ), HIX (NYSE: HIX ) In this article, I analyze these three groups of CEFs in terms of three metrics: [i] price change, [ii] premium/discount change and [iii] volume change, to see if I could spot any differences in behavior between the three groups. I focus only on the top 10 CEFs in each group for two reasons. Firstly, as those CEFs have the largest weighting in the index, any changes in their price will have a larger impact on CEFL/YYY compared to funds with smaller weighting in the index. Secondly, the higher the allocation of the fund within the index, the more certain I am that that fund is indeed belongs to the category that I have assigned it to. I again wish to stress that all predictions about the CEFs to be added, removed or that will remain in the index are simply predictions, and the actual changes may be significantly different to what I have predicted. For the sake of brevity, however, from this point onwards I will no longer preface my predictions with the word “predicted”. 1. Price change How have the prices of the CEFs fared recently? To analyze this, I plotted the price change of the CEFs over five trading days, from December 21st to the 25th. Top 10 added CEFs RVT Price data by YCharts The graph above shows that out of the Top 10 added CEFs, KYN has the highest 5-day price return of 24.67%, followed by CEM at 13.30%. The average 5-day price return of the 10 CEFs is 7.26%. Top 10 removed CEFs NCZ Price data by YCharts The chart above shows that out of the Top 10 removed CEFs, BGY has the highest 5-day price return of 2.64%, followed by CHW at 1.83%. The average 5-day price return of the 10 CEFs is 1.12%. Top 10 remaining CEFs EVV Price data by YCharts The chart above shows that out of the Top 10 removed CEFs, GGN has the highest 5-day price return of 5.18%, followed by GHY at 3.30%. The average 5-day price return of the 10 CEFs is 2.08%.(Apologies that the above YChart does not appear to be showing correctly. You’ll have to take my word for the numbers). Summary Let’s take stock of the situation. The Top 10 CEFs that were to be added to the index experienced a 5-day price gain of + 7.75% , while the Top 10 CEFs that were to be removed from the index experienced a 5-day price gain of +1.13% . The Top 10 CEFs that remain in the index experienced a 5-day price gain of +1.83 %. Now, the astute reader may observe that two of the Top 10 CEFs to be added (KYN and CEM) are MLP CEFs, which experienced a tremendous rebound over the course of last week. Indeed, KYN rocketed higher by 24.67% while CEM gained 13.30%. Thus, I also calculated an “ex-MLP” average for the remaining 8 CEFs to be added. The answer came out to be +4.33% , which is still significantly greater than the other two categories of CEFs. The above data would support the notion that the CEFs to be added experienced buying pressure while the CEFs to be removed experienced substantially less buying pressure over the past 5 days. 2. Premium/discount change Perhaps a better way to determine buying and selling pressure on CEFs is to study changes in premium/discount value, because the premium/discount value reflects how much more (or less) investors are willing to pay for a CEF compared to its net asset value [NAV]. The following graphs show the change in premium/discount value for the CEFs over the period of last week, from December 21st to the 28th (source: CEFConnect ). Top 10 added CEFs The graph above shows that KYN experienced the largest increase in premium/discount at +4.54%, followed by TDF at +2.41%. 9 out of 10 CEFs to be added experienced positive gains in premium/discount value, while only NFJ had a slightly negative loss of -0.10%. The average of the 10 CEFs was +1.62%. Top 10 removed CEFs The chart above shows that HYT experienced the largest premium/discount increase at +1.52%, followed by VTA at +0.22%. However, 6 out of 10 CEFs experienced decreases in premium/discount value, with MCR and MMT both declining by -1.51%. The average of the 10 CEFs was -0.46%. Top 10 remaining CEFs Of the 10 remaining CEFs, GLO had the highest premium/discount increase of +1.42%, while DSL had the lowest premium/discount change of -1.90%. The average of the 10 CEFs was -0.02%. Summary The Top 10 CEFs that were to be added to the index experienced a 1-week premium/discount change of +1.62% , while the Top 10 CEFs that were to be removed from the index experienced a 1-week premium/discount change of -0.46% . The Top 10 CEFs that remain in the index experienced a 1-week premium/discount change of – 0.02% . The above data would support the notion that the CEFs to be added experienced buying pressure while the CEFs to be removed experienced slight selling pressure over the past 1 week. 3. Volume changes Volume changes can reveal unusual buying or selling pressure on individual CEFs. The below graphs show the changes in 30-day average daily volume for the CEFs over the past one month. I used the 30-day average daily volume rather volume to reduce the effect of volume spikes and make the data more easy to visually interpret. Top 10 added CEFs RVT 30-Day Average Daily Volume data by YCharts The Top 10 CEFs added averaged a +67.73% increase in 30-day average daily volume over the past month. Top 10 removed CEFs NCZ 30-Day Average Daily Volume data by YCharts The Top 10 CEFs removed averaged a +42.00% increase in 30-day average daily volume over the past month. Top 10 remaining CEFs EVV 30-Day Average Daily Volume data by YCharts The Top 10 CEFs remaining averaged a +41.11% increase in 30-day average daily volume over the past month. Summary The Top 10 CEFs that were to be added to the index experienced a 30-day average daily volume increase of +67.73% over the past month, while the Top 10 CEFs that were to be removed from the index experienced a 30-day average daily volume increase of +42.00% . The Top 10 CEFs that remain in the index experienced a 30-day average daily volume increase of +41.11% . The above data would support the notion that the CEFs to be added experienced buying pressure over the past 1 month. However, the volume of the CEFs to be removed was not significantly greater than that for the remaining CEFs (the control set). Discussion of results In this study, I compared the 5-day price change, 1-week premium/discount change and 1-month 30-day average daily volume change for three groups of CEFs. The first group were the Top 10 CEFs by weighting that I predicted were to be added to the index. If frontrunning of the index were to occur, this group would experience buying pressure before the rebalancing date. The second set were the Top 10 CEFs by weighting that I predicted would be removed from the index. If frontrunning were to occur, this group would experience selling pressure before the rebalancing date. The final group were the Top 10 CEFs by weighting that I predicted would remain in the index. While these CEFs may change in weighting depending on whether their relative allocations were to be increased or decreased, I still used this group as a control set because I would expect the increases or decreases to partially offset each other. The characteristics of the three groups are presented below. Top 10 added CEFs: +7.75% ( +4.43% ex-MLP) price change, +1.62% premium/discount change and +67.73% volume change. Top 10 removed CEFs: +1.13% price change, -0.46% premium/discount change and +42.00% volume change. Top 10 remaining CEFs: +1.83% price change, -0.02% premium/discount change and +41.11% volume change. Now, readers may draw their own conclusions from the data, but it is clear to me that the frontrunning may have already begun. Both the price and premium/discount data support this idea across three data sets. The volume data indicates higher buying pressure among the added CEFs, although the volumes of the removed CEFs and the remaining CEFs were similar. What are the implications for investors? If this frontrunning behavior were to continue, there are a number of possible strategies for investors depending on the time frame: Sell CEFL or the CEFs to be removed now. While the CEFs to be added have already shown significant increases in price, the CEFs to be removed have not yet experienced heavy selling. Last year, the top 10 CEFs to be removed declined by -3.38% in the one week before the rebalancing date. If further selling in these CEFs were to occur, CEFL will decline in value. Sell the added CEFs just before rebalancing . A number of the CEFs to be added showed increases in both price and premium/discount values. If these were to revert after rebalancing, then those CEFs will decline in value. The best time to execute this strategy may be just before the rebalancing is to take place. Buy the removed CEFs after the rebalancing. Frontrunning may cause the prices and premium/discount values of the removed CEFs to be artificially depressed in price. This might make these funds good buys after the rebalancing is complete. I close by repeating again that my list of CEFs are simply predictions of the upcoming changes and the actual changes may be materially different to my predictions. A final cautionary note is warranted, as presented by reader cpyles42 : Furthering your cautionary note for all the amateur front runners – if UBS has already front run, they will simply cross their positions at rebalance, book a nice profit for themselves and the buying/selling that everybody is expecting to emerge to get them out of their front run positions at the beginning of the year will be absent. if enough people front-ran you could even see a paradoxical response, this happens all the time in markets because market positioning if often the most important short-Term factor. I have provided the 5-day price changes for all the CEFs in each of the three groups for further consideration by readers, in order of largest to smallest price change. 16 added CEFs (click to enlarge) 16 removed CEFs (click to enlarge) 14 remaining CEFs