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There Are No Holy Grails

When the markets get volatile, many strategies start performing poorly. Even your most basic diversified low fee indexing strategy will start to look weak, even though it likely beats most professional fund managers. And when these strategies start to weaken, many investors will start getting impatient. You probably know that nothing works 100% of the time, but that still doesn’t stop the allure of the green grass elsewhere. I know, the gold strategy looks so good in the short run. That fancy hedge fund strategy has outperformed since the S&P 500 (NYSEARCA: SPY ) peaked. That short-only fund looks really smart now. But the problem is that most of these fancy-sounding strategies are charging you high fees to underperform 80% of the time. And unfortunately, they lure in most of their assets during that 20% of the time when the markets look weak. But here’s the thing – there are no holy grails. Nothing works all the time. If you don’t hate something in your portfolio most of the time, then it probably means you’re not diversified. But be careful about the difference between being diversified and being diworsified. Diversification is best done when it’s simple, low-fee and tax-efficient. Diworsification occurs when you’re just layering on expensive and tax-inefficient strategies that provide far less benefit over the course of an entire market cycle than you think. And most importantly, find a good strategy and stick with it. You’ll be better off in the long run if you find a diversified, inexpensive, tax-efficient and systematic investing process, as opposed to constantly flipping in and out of strategies and searching for that holy grail that doesn’t exist. Share this article with a colleague

The Complete Guide To Retail ETFs

As a pioneer in retail business, the United States provides ample growth opportunities for all types of retail companies. From growth perspective, retail ranks among the dominant U.S. industries and employs an enormous workforce. Retail sales represent approximately 30% of consumer spending, which itself accounts for more than two-thirds of the economy. The U.S. economy is sending out signals of growth, driven by lower oil prices and an improved job market. In July, 215,000 people were hired, reflecting improved employment prospects. According to the recent data from Bureau of Labor Statistics, the unemployment rate for July was constant at 5.3% reached in the previous month, its lowest level since Sept. 2008. This improvement in the job scenario is likely to boost consumer confidence and provide them with a sense of security when it comes to purchasing power, thereby increasing consumer spending. According to a recent Conference Board data, the Consumer Confidence Index rebound in August increased to 101.5 from July’s reading of 91.0. Moreover, consumer spending increased 3.1% in the second quarter from the initial estimate of 2.9%, and also improved considerably from the first quarter’s spending rate of 1.8%. July retail sales growth of 0.6% also validates the pickup in consumer activity. Additionally, real GDP expanded at a 3.7% seasonally-adjusted annual rate in the second quarter of 2015, according to the “second” estimate released by the Bureau of Economic Analysis. This fared way better than the “advance” estimate of a 2.3% increase and 0.6% growth recorded in the first quarter. The positive revision in GDP numbers reflects a rise in consumer spending, higher business spending, increased investment in intellectual property products and larger inventory levels at businesses. An expected rebound in the economy, combined with declining unemployment rate, cheap gasoline prices, higher consumer confidence and improving consumer spending, the retail space is bubbling with optimism. ETFs present a low cost and convenient way to get a diversified exposure to this sector. Below we have highlighted a few ETFs tracking the industry: SPDR S&P Retail (NYSEARCA: XRT ): Launched in June 2006, SPDR S&P Retail is an ETF that seeks investment results corresponding to the S&P Retail Select Industry Index. This fund consists of 103 stocks, the top holdings being Netflix Inc. (NASDAQ: NFLX ), Amazon.com Inc. (NASDAQ: AMZN ) and Casey’s General Stores Inc. (NASDAQ: CASY ), representing asset allocation of 1.33%, 1.29% and 1.22%, respectively, as of Aug. 28, 2015. The fund’s gross expense ratio is 0.35%, while its dividend yield is 1.04%. XRT has $1,118 million of assets under management (AUM) as of Aug. 31, 2015. Market Vectors Retail ETF (NYSEARCA: RTH ): Initiated in Dec. 2011, Market Vectors Retail ETF tracks the performance of Market Vectors US Listed Retail 25 Index. The fund comprises 26 stocks, the top holdings being Amazon.com Inc. ( AMZN ), Home Depot Inc. (NYSE: HD ) and Wal-Mart Stores Inc. (NYSE: WMT ), representing asset allocation of 12.78%, 8.66% and 7.75%, respectively, as of Aug. 31, 2015. The fund’s net expense ratio is 0.35% and dividend yield is 0.39%. RTH has managed to attract $216.9 million in AUM till Aug. 31, 2015. PowerShares Dynamic Retail (NYSEARCA: PMR ): PowerShares Dynamic Retail, launched in Oct. 2005, follows the Dynamic Retail Intellidex Index and is made up of 30 stocks that are primarily engaged in operating general merchandise stores such as department stores, discount stores, warehouse clubs and superstores. The fund’s top holdings are O’Reilly Automotive Inc. (NASDAQ: ORLY ), The Home Depot Inc. ( HD ) and CVS Health Corp. (NYSE: CVS ), reflecting asset allocation of 5.66%, 5.34% and 5.24%, respectively, as of Sept. 1, 2015. The fund’s net expense ratio is 0.63%, while its dividend yield is 0.61%. PMR has managed to attract $24.7 million in AUM as of Aug. 31, 2015. Original Post

Less Pain, More Gain

Summary Pain felt from losses far exceeds joy caused by gains — this psychological asymmetry is called loss aversion. The more often you check your portfolio, the more losses you’ll see, and the more emotional discomfort you’ll feel. If these emotions get the better of you, it can lead you to make investment decisions that you may later regret. This is why investors would do better (and be happier) if they monitored their performance less frequently. If it bleeds, it leads — bad news makes news; good news is no news. That’s the motto of today’s media. It’s no wonder people tend to think the world is always getting worse. But this asymmetry between bad and good is a much broader phenomenon. Our brains are in fact hardwired with a “negativity bias” — that is, we notice, remember, and give more importance to negative things than to positive ones. It’s why one little thing can ruin a good day. Why a reputation that takes decades to build can be destroyed by one mistake. Or why a single cockroach will completely wreck the appeal of a bowl of cherries, while a cherry will do nothing for a bowl of cockroaches. “Loss aversion,” or the tendency to weigh losses more heavily than gains, is another way this negativity bias manifests itself. Consider the following question: You are offered a gamble on the toss of a coin. If it comes up heads, you win $1,500. If it comes up tails, you lose $1,000. Would you accept this gamble? Although this gamble has a positive expected value of $250, you probably dislike it. And you’re not alone — for most people, the fear of losing $1,000 is more intense than the hope of gaining $1,500. In fact, numerous studies have shown that the average person won’t accept this gamble unless the potential gain is about $2,000, twice as much as the loss. This led researchers to famously conclude that “losses are twice as painful as gains are pleasurable.” That asymmetry between losses and gains has important implications for all investors. For instance, the more often you look at your portfolio, the more losses you’ll see, and the more emotional discomfort you’ll feel. The best solution, therefore, is to look at your portfolio as infrequently as possible. A simple example can illustrate this point. Let’s say you had invested $10,000 in the S&P 500 (NYSEARCA: SPY ) in January 1980. By the end of 2014, this would have grown to roughly $481,489 (which includes reinvested dividends) — an attractive return of 11.71% with a reasonable 16.76% volatility per annum. That return/volatility combination translates into a 76% probability of making money in any given year (and a 100% probability in any 10-year period). Sounds pretty good, right? But if you looked at your portfolio on a more frequent basis — say every hour — you’d have observed it making money only 50.65% of the time. In other words, even though you only had a 24% chance of losing money in any given year, the same portfolio when observed on an hourly basis would have disappointed you with losses 49.35% of the time. And since losses hurt twice as much as gains feel good, you’d be incurring a large emotional deficit by examining your performance at such a high frequency. This emotional deficit can actually be approximated mathematically. Simply assign a score of 1 for each positive return observation and a score of -2 for each negative return observation and then add them together to get a “reward-to-pain score.” The higher the score, the better. The table below shows that it’s not until we reach the annual portfolio observation that the reward-to-pain score turns positive. Checking your portfolio more frequently than that would cause you more emotional harm than good — which is why I shake my head when I see investors constantly monitoring their portfolios on their smartphones or tablets. It’s always easy to tell who’s making money and who isn’t (the look on their face says it all). Chances of Positive Returns on an S&P 500 Portfolio (1980 – 2014) Notes: (1) The above calculations assume that stock market returns are normally distributed (an imperfect but workable assumption). (2) Volatility is measured using the standard deviation of annual returns. (3) There are, on average, 252 trading days in a year and 6.5 hours in a regular trading day. (4) Reward/pain score = (1*probability of price increase) + (-2*probability of price decline). Source: A North Investments (“ANI”) Now let’s view this from another angle. The more frequently you look at your portfolio, the more randomness you’re disproportionately likely to get. In other words, you’ll see the short-term volatility of the portfolio, not the returns. This can be illustrated by taking the ratio of volatility to return at different observation frequencies (as shown in the table above). At a yearly observation frequency, the ratio is about 1.4 — or 59% randomness, 41% performance. But if you looked at the very same portfolio on an hourly basis, as many investors have a tendency to do, the composition changes to 98.4% randomness, only 1.6% performance. Yes, that’s right — you get over 60 times more randomness than performance! You’d be drowning in randomness and incurring emotional torture; it’s nearly impossible to make rational investment decisions under such conditions. The obvious moral here is that investors would do better (and be a lot happier) if they monitored their performance less frequently. Because the less often you look at your portfolio, the more likely it is that you’ll see gains. On the other hand, checking your portfolio more frequently increases the likelihood that you’ll see losses and hence suffer emotional distress. Avoiding the latter and focusing on the former prevents you from being fooled by short-term randomness — making it easier to stick to and achieve your long-term financial goals. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.