Tag Archives: ideas

Bubbles Bursting For Technology ETFs?

Technology ETFs are badly hit, having lost in the range of 8% to 23% so far this year (as of February 8, 2016). While the broader market selloff since the start of the year kept this high-beta segment subdued, the tension flared up when LinkedIn Corporation (NYSE: LNKD ) issued a lackluster guidance for the first quarter of 2016 in early February. LinkedIn set the alarm bells ringing for the entire social networking space and plunged 44% in just one day on February 5 – the day after it reported earnings. Though LinkedIn beat on both lines, it guided revenues in the range of $3.6−$3.65 billion for fiscal 2016, below the Zacks Consensus Estimate of $3.920 billion. Pressure is also building up in LinkedIn’s Talent Solutions business which closed out 2015 with 30% year-over-year growth and is now expected to moderate to the mid-20% level this year. Management held the ongoing global market turmoil, especially in EMEA and APAC regions , responsible for this slowdown. Investors took this performance as a cue to the upcoming disaster in the entire social media space. Is LinkedIn the Sole Spoiler? The technology sector is cyclical in nature and performs well in a recovering economy, especially in the early and mid-cycle phases, per Fidelity . In these cycles, economic activities bounce back, credit growth speeds up, and economic policies are still accommodative to neutral. However, since recessionary threats are grabbing hold of the global market presently, all this economic cycle related optimism appears to fade away. Several developed economies are getting recessionary warnings, emerging economies are slowing down and the U.S. economy – the star of last year – hit the brakes in the final quarter of 2015. Yes, the U.S. economy is still far away from anything that looks like a recession, but corporate recession in the U.S. has already taken hold. Investors should note that the earnings of the S&P 500 index is likely to decrease 4.6% in the first quarter of 2016 while revenues are expected to fall 1.7% as per the Zacks Earnings Trends issued on February 3, 2016. The earnings and revenue expectations are projected to fall 1.9% and 2.1%, respectively, in the second quarter of 2016. In such a situation, investors seem to have lost faith in the broad-based emergence and adoption of high-growth tech areas like Internet, social networking and clouds, per the analysts . And the tech bubble that formed last year surprisingly has burst now. Notably, the PowerShares QQQ Trust ETF (NASDAQ: QQQ ) – an ETF built on the tech-laden Nasdaq-100 index – added 8.7% in 2015 despite declines in the other two key indices the S&P 500 and Dow Jones Industrial Average. ETFs that Got Crushed Almost all ETFs catering to cyber security, broader Internet, cloud computing and software were the hardest hit in the recent technology meltdown. The PowerShares DWA Technology Momentum Portfolio ETF (NYSEARCA: PTF ), the First Trust DJ Internet Index ETF (NYSEARCA: FDN ), the PureFunds ISE Cyber Security ETF (NYSEARCA: HACK ), the iShares North American Tech-Software ETF (NYSEARCA: IGV ) and the PowerShares NASDAQ Internet Portfolio ETF (NASDAQ: PNQI ) were among the top five losers in the last five days, having lost in the range of 11.4-13.6%. Investors should note that overvaluation concerns also dragged down these tech ETFs. As of now, PNQI, FDN, PTF and IGV have P/E (36 months) of 41.82, 41.41, 35.84 and 34.56 times, respectively. These four ETFs topped the list of the highest P/Es in the Zacks Screener . The P/Es were against the SPY’s P/E of 16.14 times and QQQ’s P/E of 20.44. So, from this trend it is clear that investors are mainly dumping ETFs with outsized P/E ratios from the online segment of the tech space. Bets for Now Still, investors may hope for a market revival and keenly desire some tech picks as the sector is among the few that are likely to report positive earnings and revenue growth in Q1 of 2016. As of now, investors can have a look at these relatively undervalued ETFs. First Trust NASDAQ Technology Dividend Index ETF (NASDAQ: TDIV ) The fund includes 100 technology and telecom companies that pay a common dividend. The lure of dividend helped the fund to evade the recent blow by a large degree. TDIV shed only 3.3% in the last five trading sessions (as of February 8, 2016). TDIV yields 2.71% annually (as of February 8, 2016). Plus, TDIV has a compelling valuation with a P/E (TTM) of 15 times. PowerShares S&P SmallCap Information Technology Portfolio ETF (NASDAQ: PSCT ) This small-cap tech ETF is less exposed to global growth worries and mainly deals with demand from the U.S. PSCT has a Zacks ETF Rank #2 (Buy) and lost 5.4% in the last five trading sessions (as of February 8, 2016). PSCT’s P/E (TTM) stands at 23 times. Robo-Stox Global Robotics And Automation Index ETF (NASDAQ: ROBO ) The fund is designed to measure the performance of robotics-related and/or automation-related companies. ROBO’s P/E (TTM) is 19 times. The fund was off 3.9% in the last five trading sessions. Technology Select Sector SPDR ETF (NYSEARCA: XLK ) This is the largest tech ETF. This large-cap fund has a compelling P/E (TTM) of 17 times and has a Zacks ETF Rank #1 (Strong Buy). The fund retreated 5.9% in the last five days, much less than some Internet funds. Original Post

The ‘Why’ Behind Michael Kitces’ Strange Finding That High Valuations Point To Low Returns For Only A Time And Then To Higher Than Normal Returns

By Rob Bennett Last week’s column examined a recent article by Michael Kitces ( Should Equity Return Assumptions in Retirement Projections Be Reduced for Today’s High Shiller CAPE Valuation? ) that advanced the amazing (but entirely true) claim that: The ideal way to adjust return assumptions…[may be] to do projections with a ‘regime-based’ approach to return assumptions. This would entail projecting a period of much lower returns, followed by a subsequent period of higher returns.” Stock returns do not play out in the pattern of a random walk. Not at all. The same pattern has been repeating for the entire 145 years of return data available to us today. Valuations move steadily up for a long time, perhaps 20 years. Then valuations move steadily down for a long time, perhaps 15 years. When valuations are very high, as they are today, you should expect 10-year returns to be low. But 30-year returns will be better. After the passage of 15 years or so of poor returns, a new period of gradually increasing valuations kicks in, countering the effect of the 15 years of poor returns. By the end of 30 years, the overall return may not be so bad. This is strange stuff. It’s one thing to agree that valuations affect long-term returns. That wouldn’t be possible if the market were efficient, as was once believed to be the case. But most investors have come to accept that Shiller is right that valuations matter; prices matter in every other market that exists, so it is not hard to understand that they would matter in the stock market too. But it’s something else to say that prices go up, up, up for many years and then down, down, down for many years. What’s that about? I was shocked by this result when I discovered it through my work with John Walter Russell at the old Safe Withdrawal Rate Research Group discussion board. Investing experts who engage in technical analysis are often ridiculed by investing experts who instead believe that market prices are determined by economic factors as engaging in some sort of voodoo. Citing return patterns sounds about as scientific as predicting a person’s future by asking him what Zodiac sign he was born under. It sounds too “out there.” This was my first reaction when John’s research revealed the pattern that has been governing stock prices for the entire history of the U.S. market. But puzzles bother me. When there is some facet of a phenomenon that I do not understand well, I find my mind returning to it again and again, searching for a reasonable explanation. Until all puzzles are resolved, I worry that I do not understand the matter under consideration as well as I need to to possess confidence in my beliefs about it. So for several years I found myself often wondering why the reality that Michael Kitces points to in his recent article is indeed a reality. Why do stock valuation levels head upward for a long time (with temporary drops mixed in, to be sure) and then head downward for a long time (with temporary rises mixed in). What could explain such a pattern? I often comment in my column how Shiller described his 1981 finding that valuations affect long-term returns as “revolutionary.” I believe that it really is that. I believe that what Shiller showed is that our fundamental belief about what causes changes in market prices is in error. The common and long-held belief is that it is economic realities that cause stock prices to change. What Shiller showed is that that is not so. If it were economic realities causing stock price changes, future returns would not be predictable because future economic realities are of course not predictable. If future returns are highly predictable, as Shiller showed, it must be something else causing stock prices to change. It’s investor emotion that is the primary cause of stock price changes, not economic realities. That’s the Shiller breakthrough. That changes everything. The strange pattern described in the Kitces article makes sense once you accept that it is investor emotion that is the primary cause of stock price changes. The key reality of the stock market is that it is stock investors who set prices. By bidding up or bidding down prices, we can collectively see to it that our portfolios reflect our personal desires. The economic realities don’t really matter. If we all want to retire early (and who doesn’t?), there’s nothing stopping us from bidding stock prices up to two times fair value or even to three times fair value. Stock investors can as a group collectively grant themselves raises at any time they please. Is that not so? Now – There must be some limit on this power we possess to vote ourselves raises. If there were no limit, we would not stop at increasing stock prices until valuations were at three times fair value (as they were in early 2000). We would take them to four times fair value, then five times fair value, then ten times fair value. Why not? The full reality is that, while we all possess a Get Rich Quick urge that prompts us to push stock prices higher until they reach two times fair value or perhaps three times fair value, we all also possess common sense, which makes us fearful of additional price increases once valuations have risen to insanely high levels. After about 20 years of rising valuations, the collective investor psychology always flips and instead of pushing prices up, up, up, we begin pushing them down, down, down. After a complete cycle has been completed, the long-term return for the cycle is always something in the neighborhood of 6.5 percent real, the long-term average return justified by the U.S. economic realities for as far back as we have records. So the strange reality explained by Kitces in his article applies: high valuations assure low returns 10 years out but returns closer to average for time-periods of 30 years or more. High-return periods are always followed by low return periods and low return periods are always followed by high return periods. The strategic implications are far-reaching. We once thought that stock investing risk was constant; it’s not – it’s variable. We once thought that investors should stick with the same stock allocation at all times. That’s wrong; investors who want to maintain the same risk profile MUST change their stock allocations in response to big valuation shifts to do so. We once thought that stocks were an inherently risky asset class. That’s not so. Investors who invest more heavily in stocks when valuations are low than they do when valuations are high earn higher long-term returns while reducing risk dramatically. I believe that Michael’s article will be the subject of widespread discussion following the next price crash. This is exciting stuff. This is the future. Disclosure : None

New Liquid Alts Funds Launched In January

New liquid alternative mutual funds and ETFs launched in January include: HedgeRow Income and Opportunity Fund (MUTF: HROAX ) GuidePath Managed Futures Strategy Fund (MUTF: GIFMX ) Toews Tactical Defensive Alpha Fund (MUTF: TTDAX ) Ivy Targeted Return Bond Fund (MUTF: IRBAX ) Reality Shares DIVCON Dividend Guardian ETF (BATS: GARD ) Reality Shares DIVCON Dividend Defender ETF (BATS: DFND ) HedgeRow Income and Opportunity Fund HROAX launched on January 21. The fund seeks a combination of income and capital appreciation by establishing both long and short positions in domestic stocks, mostly large caps from the S&P 500. Its net expense ratio is 1.25%. GuidePath Managed Futures Strategy Fund GIFMX debuted on January 19. It pursues a managed-futures strategy using the fund’s sub-advisor’s proprietary quantitative models to identify price trends across asset classes: stocks, bonds, interest rates, currencies, and commodities. The fund is sub-advised by AssetMark. The fund’s investment objective is to generate positive absolute returns over time. Its net expense ratio is 1.05%. Toews Tactical Defensive Alpha Fund TTDAX made its debut on January 7. It employs a long/short equity strategy in pursuit of long-term capital growth, with a secondary focus on limiting risk during downturns. Its investments may include U.S. stocks of all capitalization sizes, foreign large-cap stocks, ETFs that invest primarily in common stocks, bonds, cash equivalents, and derivatives including but not limited to equity index futures. The fund’s net expense ratio is 1.00%. Ivy Targeted Return Bond Fund IRBAX launched on January 4. Employing a “nontraditional bond” strategy, the fund seeks total return through a combination of current income and capital appreciation. Sub-advisor Pictet Asset Management invests at least 80% of the fund’s net assets in debt securities with maturities of at least one year, and gauges its performance against the Barclays Capital U.S. 1-3 Month Treasury Bill Index. The fund has a net expense ratio of 0.90%. Reality Shares DIVCON Dividend Guardian ETF GARD, an exchange-traded fund, debuted on January 14 . The ETF tracks the Reality Shares DIVCON Dividend Guard Index , which is based on the idea that companies that increase their dividends tend to outperform the broad market, and companies that cut or suspend their dividends tend to underperform the broad market. GARD may or may not have short positions: based on Reality Shares’ proprietary methodology, the ETF may either consist of 100% long exposure or a “50/50” long/short approach. Reality Shares DIVCON Dividend Defender ETF Like GARD, DFND was also launched on January 14. Also like GARD, DFND tracks a Reality Shares DIVCON Index – this time, the Dividend Defender Index . Unlike GARD, DFND has a long portfolio and a short portfolio at all times. The ETF’s long portfolio consists of the 30 stocks from the initial universe of 500 that have the highest DIVCON ratings – “DIVCON ratings” are based on how likely a stock is to raise or cut its dividend. Jason Seagraves contributed to this article.