Tag Archives: power

Our Investing Biases Are Particularly Dangerous Because They Are Time-Based Rather Than Phenomenon-Based

By Rob Bennett I read an article this week that explored the differences between how we have responded as a society to the pushes for limits on smoking and on guns. The push for limits on smoking has been highly successful. The push for limits on guns has not been terribly successful. Why? The article argued that the difference is that smoking is not an ideological or cultural issue; neither conservatives nor liberals see efforts to limit smoking as an attack on their world view. It’s different with guns. Most cities are heavily liberal and most rural areas are heavily conservative. As a result, there are strong ideological and cultural differences between those who own guns and those who do not. Those who have never been around guns have a hard time understanding why anyone would feel a need to own one. But those who have been around guns all their lives cannot understand why those favoring limits on ownership are so troubled by guns. So efforts to change the law in this area produce intense conflicts; the harder one side pushes for limits, the harder the other side opposes those limits and gridlock results. “Bias” is not one thing. There are many varieties of biases, some more problematic than others. In fact, an argument can be made that some biases are good. As a general rule, it is a bad thing to be biased because to possess a bias is to respond unthinkingly to a phenomenon. But acting on the basis of a bias speeds up one’s reaction time and that is not such a bad thing in some cases. I have a strong bias against disco. I have probably missed out on some disco songs from which I would have derived a pleasurable listening experience. But there aren’t many disco songs that fall into that category. And my bias helped me avoid a lot of painful listening experiences too. The biases that many of us hold about investing issues are extremely damaging, in my view. Most biases are phenomenon-based. We favor certain types of food over others. Or we favor certain ways of thinking about issues over others. Or we favor certain ways of doing things over others. These biases can hold us back. But the good thing about phenomenon-based biases is that we can limit the power of the bias by deliberately exposing ourselves to the opposite sort of phenomenon from time to time to check whether the bias is supported by the realities. Liberals are biased against conservative ideas and conservatives are biased against liberal ideas. Is that really such a bad thing? If we reconsidered our philosophical orientation each time a new issue was presented to us for our assessment, it would take much longer for us to figure out where we stand on issues. The reality is that once a person has thought about a few issues hard enough to know where his bias lies, he can save time when assessing new issues by jumping to a quick conclusion that his position will be ideologically consistent with his earlier positions. Being biased is a time-saver. But there are dangers, of course. There are always those few issues regarding which a liberal adopts the conservative take and those few issues regarding which a conservative adopts the liberal take. Those exceptions can achieve great significance over time. If you follow the story of how a liberal becomes a conservative over a number of years or of how a conservative becomes a liberal over a number of years, you will see that it is usually one important exception to a general bias that starts the ball rolling in a new direction. I often seek out views different than my own just to shake up my preconceptions a bit. It’s very very hard to do that in the investing realm. The most important investing biases are time-based rather than phenomenon-based. That means that for long periods of time certain ideas are forgotten by almost the entire population. To tap into the other side of the story, the investor would have to study historical data from a time period many years removed from the current time period. Who does that? Shiller showed that valuations affect long-term returns. What he really was doing when he did that was showing that the stock market is not efficient, that mis-pricing on either the high or low side is a significant reality rather than the illusion that Buy-and-Holders believe it to be. Even during the most out-of-control bull market, there are a small number of people questioning whether the insane prices achieved are real and lasting. But the percentage of the population holding that view can be very small indeed. The percentage of the population that is conservative rather than liberal doesn’t vary dramatically from time to time. The percentage of the population that believes that stocks are the perfect investment choice is dramatically higher when prices are high than it is when prices are low. For a good number of years following the great crash of 1929, investors didn’t expect to see any capital appreciation at all on their stocks. The conventional wisdom of the time was that stocks were worth buying only for their dividends; those that didn’t pay high dividends were not worth owning. In the late 1990s, dividends fell to tiny levels. The very thing that made stocks dangerous (their high price) changed the conventional wisdom on stock ownership to reflect a bias that stocks are always worth owning. Stocks for the Long Run was a popular book in the 1990s. It would not have sold many copies in the 1930s. The book reports on data, facts, objective stuff. The message of the data should not change from times like the 1930s to times like the 1990s. But the ways in which we arrange the data and interpret the data changes when we go from bull markets to bear markets. People will be looking at the same data that was employed in Stocks for the Long Run to sell stocks to make the case against stocks when we are on the other side of the next stock crash. Our stock biases hurt us. But they are hard to see through because just about everyone is on one side of the table for a long stretch of time and then just about everyone is on the other side of the table for the next long stretch of time. Bull markets turn us all into bulls and bear markets turn us all into bears. Investing biases come to be so widely shared for long stretches of time that it is hard for any of us to keep their other point of view even remotely in mind. Disclosure: None

The Tree Is Up With The Best ETFs

Christmas isn’t Christmas without a tree. While the evergreen never fails to bring in cheer to the most lonesome of hearts, we decided to do something very different this year – build a tree with the choicest of ETFs of the season. Let’s build the base first, which is the most valuable of all for investors, and of course, where all the gifts are to be found. And what’s more fitting than the broad market ETF, the SPDR S&P 500 (NYSEARCA: SPY ) , which tracks the major U.S. benchmark – the S&P 500 index – to give a solid foundation to our tree. It holds 506 stocks in its basket that are widely spread out across a number of sectors and securities. None of the securities hold more than 3.4% share while information technology, financials, healthcare, consumer discretionary, and industrials are the top five sectors accounting for double-digit exposure each. The product has $174.8 billion in AUM and charges 9 bps in fees per year. It has a Zacks ETF Rank of 3 or ‘Hold’ rating with a Medium risk outlook. Since the stock market tends to rise on holiday optimism and year-end seasonal factors, high beta and high momentum ETFs are expected to lead the market in the weeks ahead. This is because high beta funds experience larger gains than the broader market counterparts in a soaring market. On the other hand, momentum investing should be a winning strategy for investors seeking higher returns in a short spell in any market environment. This strategy seeks to take advantage of market volatility by buying hot stocks, which have shown an uptrend over a few weeks or a few months, and selling those stocks that are going down. So, a couple of high beta and momentum ETFs could be the best option to include in our Christmas tree. In particular, the PowerShares S&P 500 High Beta Portfolio ETF (NYSEARCA: SPHB ) and the First Trust Dorsey Wright Focus 5 ETF (NASDAQ: FV ) are the most popular choices in their respective areas. They went in to form the fronds and leaves of the tree. SPHB tracks the performance of 100 stocks from the S&P 500 Index with the highest beta over the past 12 months. It has amassed $65.7 million in its asset base and charges 0.25% in expense ratio. The product is widely spread out across each security as none of them holds more than 1.54% of total assets. About one-fourth of the portfolio is allotted to energy, while financials, information technology and healthcare round off the next three spots with double-digit exposure each. FV on the other hand tracks the Dorsey Wright Focus Five Index, which provides targeted exposure to the five First Trust sector and industry-based ETFs that Dorsey, Wright & Associates (DWA) believes have the maximum chance of outperforming the other ETFs in the selection universe. Securities with high relative strength scores (strong momentum) are given higher weights. Currently, the product has the highest exposure to the biotech sector via the First Trust NYSE Arca Biotechnology Index ETF (NYSEARCA: FBT ) at 24.8%, followed by the First Trust DJ Internet Index ETF (NYSEARCA: FDN ) and the First Trust Health Care AlphaDEX ETF (NYSEARCA: FXH ) at 21.0% and 19.3%, respectively. It has accumulated nearly $4.6 billion in AUM while it charges 94 bps in annual fees. For the top layers, we’ve included financial ETFs like the Financial Select Sector SPDR ETF (NYSEARCA: XLF ) as the sector is a major beneficiary of a rising interest rate environment. This is the most popular financial ETF with AUM of $19.1 billion and an expense ratio of 0.14%. The fund follows the Financial Select Sector Index, holding 89 stocks in its basket. It is heavily concentrated in the top five firms that collectively make up 36.7% of the portfolio while the other firms hold less than 2.6% share. At the very top is the star ETF of the year – the First Trust Dow Jones Internet Index ETF ( FDN ) . The fund offers exposure to the Internet corner of the broad technology space by tracking the Dow Jones Internet Composite Index. In total, it holds a small basket of 42 securities with double-digit allocation in the top two firms. The ETF has amassed $4.87 billion in AUM while charging 54 in fees. Now that we are done with the tree’s structure, we are left with decorating it with lights and chocolates. For this, the best ETFs that could fit in here are the iPath Pure Beta Cocoa ETN (NYSEARCA: CHOC ) for the chocolate decor, and most importantly the Utilities Select Sector SPDR ETF (NYSEARCA: XLU ) for lighting up the tree. And voila, the tree is up! May it bring in bountiful returns for the investor with the jingle of Santa’s bells. Original Post

Generating 15% Returns Using The Growth Rating System

Summary How the Growth Score is created. What Growth related ratios I focus on from a value viewpoint. Types of stocks produced from the Growth Score. The Growth Score Introduction The backtests for this Growth Score show that it’s another winner at 15.3%. Previously I showed the Quality Score generating 16.8% and the Value Score achieving 16.7% . Creating the Growth rating was harder than I thought as I don’t have much of a typical “growth” mindset. My interpretation and focus on growth has to do with the qualitative side. “Growth” questions I ask myself are things like; what other industries or creative ways is the company executing to grow? is the industry large enough to accommodate more growth by the company? is the industry also growing or shrinking? (sample questions you can add to your own checklist) I look for stocks that are solid fundamentally and in a position to grow. I don’t search for stocks based on how much revenue, earnings or other numbers have grown over the past years. Relative strength and other technical indicators are beyond me also. That’s the approach I took here as well. Rather than search for high flyers, what the Growth Rating really represents are stocks with positive growth who are growing by utilizing their assets well. I’m going to share the full details with you. Just don’t focus too much on the 15.3% returns. The 15.3% returns from the backtest is just theoretical proof that this works on paper. In other words, the strategy itself is a winner. But what I really want to show is how and why this works. Analyzing the Results First the numbers on a yearly basis. As I pointed out in the quality score, I focused on reducing drawdown as much as possible. Drawdowns are a huge problem with mechanical strategies and since you end up buying stocks you don’t know, it’s easy to give up. And since I create tests and strategies based on 1 year holding periods, the drawdowns are larger than trading systems where you buy and sell about 20 stocks a day. As much as I don’t like drawdowns, I also don’t believe in frequent trading as it eats away your portfolio with fees as you end up playing the same game as the traders. They will out trade you with their eyes closed. Now, there are really 3 bad years here where the Growth Rating seriously underperformed. 2007, 2008 and 2014 where 2008 was horrific with a -44% decline. That’s close to half of a portfolio being wiped out. 2009 more than made up for it, but 2008 is enough to make anyone puke. However, when coupled with Q and V, the final combined Action Score performed marvelously well in 2008. That’s the power of combining Q, V and G all together. But I’ll be talking about the Action Score in another post. How I Created the Growth Score I kept the max number of criteria to 4. The more filters a stock has to pass, the bigger the drop in performance. Just because stocks can pass a 8 point checklist, it doesn’t mean it’s a buy. It could be the total opposite where you are too strict and end up only allowing mediocre upside stocks to pass through. Here’s what I narrowed the Growth criteria to: TTM sales percentage change: greater than zero 5 year sales CAGR: greater than zero Gross Profit to Asset Ratio (GPA): greater than 1 Piotroski F Score: higher the better Here’s the initial backtest I performed that proved I was onto something. This is a 20 stock portfolio backtest. Growth Score Backtest – Full Universe Woah. Deep breath. Just theoretical returns. After eliminating OTC stocks, financials, energy, mining and utilities, the results continue the outperformance. Growth Score Backtest w/ no OTC, Financials, Energy, Mining or Utilities Based on this data, I’m really excited because the combination of metrics I’m using is validated and it’s not a borderline combination. The ugly spike in the first backtest is gone. Most likely from an OTC stock that exploded temporarily and crashed back down. Rationale for Each Criteria TTM Sales Percentage Change > 0 The goal here is to look for stocks that actually grew. I’m not interested in high flyers and wall street darlings. I’m really looking for growth stocks with a strong value flavor. 5 Year Sales CAGR > 0 Same thing as above. I don’t want companies that are perennial losers for 5 years or more. Gross Profit to Asset Ratio (GPA) This ratio deserves an article of its own. In this case though, it has the biggest positive effect on the results. Comparing gross profit to assets tells you whether or not the assets are profitable. In other words, GPA measures the growth of profitability. When I look for stocks with a GPA above 1, I’m saying that I want stocks that are generating more than a dollar for every $1 of asset. A GPA of 0.5 means the company is generating profits of $0.50 for every dollar of assets. You can see how this is also a great way to compare competitors within the same industry. Piotroski F Score I include the F score for quality and value. Best way to filter out horrific stocks so that it doesn’t cloud the results. A Rating System is NOT a Screener I have to repeat this because I get this question about the results often. Since my goal is building a rating system where every stock is scored and ranked, it’s very different to a screener. A screener is to simply get stocks that pass specific numbers. A rating system may have stocks at the top of the list that fail certain criteria. That’s why each variable is weighted in the final formula. Stocks outside of the ideal ranges are penalized. You’ll see what I mean in the list of 2015 stocks below. Top 20 Growth Stocks from 2015 If you look at the GPA column, only 4 stocks meet the criteria of being 1 or above. That’s what I meant by a rating system being different to a screener. If you bought these 20 stocks at the beginning of the year, you’d be looking at a price return of 1%. Sure I’d love to have shown you the growth stocks exploding and defying the struggles of 2015, but the final Action Score is so much better and you’ll be amazed at the results. Watch out the for the final part of how the OSV Ratings have been created. Disclosure: Long GILD