Posts tagged ‘short interest’
Brain or Machine? Investing Holy Grail
Paul Meehl was a versatile academic who held numerous faculty positions, covering the diverse disciplines of psychology, law, psychiatry, neurology, and yes, even philosophy. The crux of his research was focused on how well clinical analysis fared versus statistical analysis. Or in other words, he looked to answer the controversial question, “What is a better predictor of outcomes, a brain or an equation?” His conclusion was straightforward – mechanical methods using quantitative measures are much more efficient than the professional judgments of humans in coming to more accurate predictions.
Those who have read my book, How I Managed $20,000,000,000.00 by Age 32 know where I stand on this topic – I firmly believe successful investing requires a healthy balance between both art and science (i.e., “brain and equation”). A trader who only relies on intuition and his gut to make all of his/her decisions is likely to fall on their face. On the other hand, a quantitative engineer’s sole dependence on a robotic multi-factor model to make trades is likely to fail too. My skepticism is adequately outlined in my Butter in Bangladesh article, which describes how irrational statistical games can be misleading and overused.
As much as I would like to attribute all of my investment success to my brain, the emotion-controlling power of numbers has played an important role in my investment accomplishments as well. The power of numbers simply cannot be ignored. More than 50 years after Paul Meehl’s seminal research was published, about two hundred studies comparing brain power versus statistical power have shown that machines beat brains in predictive accuracy in the majority of cases. Even when expert judgments have won over formulas, human consistency and reliability have muddied the accuracy of predictions.
Daniel Kahneman, a Nobel Prize winner in Economics, highlights another important decision making researcher, Robyn Dawes. What Dawes discovers in her research is that the fancy and complex multiple regression methods used in conventional software adds little to no value in the predictive decision-making process. Kahneman describes Dawes’s findings more specifically here:
“A formula that combines these predictors with equal weights is likely to be just as accurate in predicting new cases as the multiple-regression formula…Formulas that assign equal weights to all the predictors are often superior, because they are not affected by accidents of sampling…It is possible to develop useful algorithms without any prior statistical research. Simple equally weighted formulas based on existing statistics or on common sense are often very good predictors of significant outcomes.”
The results of Dawes’s classic research have significant application to the field of stock picking. As a matter of fact, this type of research has had a significant impact on Sidoxia’s stock selection process.
How Sweet It Is!
In the emotional roller-coaster equity markets we’ve experienced over the last decade or two, overreliance on gut-driven sentiments in the investment process has left masses of casualties in the wake of losses. If you doubt the destructive after-effects on investors’ psyches, then I urge you to check out my Fund Flow Paradox article that shows the debilitating effects of volatility on investors’ behavior.
In order to more objectively exploit investment opportunities, the Sidoxia Capital Management investment team has successfully formed and utilized our own proprietary quantitative tool. The results were so sweet, we decided to call it SHGR (pronounced “S-U-G-A-R”), or Sidoxia Holy Grail Ranking.
My close to two decades of experience at William O’Neil & Co., Nicholas Applegate, American Century Investments, and now Sidoxia Capital Management has allowed me to build a firm foundation of growth investing competency – however understanding growth alone is not sufficient to succeed. In fact, growth investing can be hazardous to your investment health if not kept properly in check with other key factors.
Here are some of the key factors in our Sidoxia SHGR ranking system:
Valuation:
- Free cash flow yield
- Price/earnings ratio
- PEG ratio
- Dividend yield
Quality:
- Financials: Profit margin trends; balance sheet leverage
- Management Team: Track record; capital stewardship
- Market Share: Industry position; runway for growth
Contrarian Sentiment Indicators:
- Analyst ratings
- Short interest
Growth:
- Earnings growth
- Sales growth
Our proprietary SHGR ranking system not only allows us to prioritize our asset allocation on existing stock holdings, but it also serves as an efficient tool to screen new ideas for client portfolio additions. Most importantly, having a quantitative model like Sidoxia’s Holy Grail Ranking system allows investors to objectively implement a disciplined investment process, whether there is a presidential election, Fiscal Cliff, international fiscal crisis, slowing growth in China, and/or uncertain tax legislation. At Sidoxia we have managed to create a Holy Grail machine, but like other quantitative tools it cannot replace the artistic powers of the brain.
Wade W. Slome, CFA, CFP®
Plan. Invest. Prosper.
DISCLOSURE: Sidoxia Capital Management (SCM) and some of its clients own certain exchange traded funds, but at the time of publishing SCM had no direct position in any other security referenced in this article. No information accessed through the Investing Caffeine (IC) website constitutes investment, financial, legal, tax or other advice nor is to be relied on in making an investment or other decision. Please read disclosure language on IC “Contact” page.
Investing Holy Grail: Brain or Machine?
Paul Meehl was a versatile academic who held numerous faculty positions, covering the diverse disciplines of psychology, law, psychiatry, neurology, and yes, even philosophy. The crux of his research was focused on how well clinical analysis fared versus statistical analysis. Or in other words, he looked to answer the controversial question, “What is a better predictor of outcomes, a brain or an equation?” His conclusion was straightforward – mechanical methods using quantitative measures are much more efficient than the professional judgments of humans in coming to more accurate predictions.
Those who have read my book, How I Managed $20,000,000,000.00 by Age 32 know where I stand on this topic – I firmly believe successful investing requires a healthy balance between both art and science (i.e., “brain and equation”). A trader who only relies on intuition and his gut to make all of his/her decisions is likely to fall on their face. On the other hand, a quantitative engineer’s sole dependence on a robotic multi-factor model to make trades is likely to fail too. My skepticism is adequately outlined in my Butter in Bangladesh article, which describes how irrational statistical games can be misleading and overused.
As much as I would like to attribute all of my investment success to my brain, the emotion-controlling power of numbers has played an important role in my investment accomplishments as well. The power of numbers simply cannot be ignored. More than 50 years after Paul Meehl’s seminal research was published, about two hundred studies comparing brain power versus statistical power have shown that machines beat brains in predictive accuracy in the majority of cases. Even when expert judgments have won over formulas, human consistency and reliability have muddied the accuracy of predictions.
Daniel Kahneman, a Nobel Prize winner in Economics, highlights another important decision making researcher, Robyn Dawes. What Dawes discovers in her research is that the fancy and complex multiple regression methods used in conventional software adds little to no value in the predictive decision-making process. Kahneman describes Dawes’s findings more specifically here:
“A formula that combines these predictors with equal weights is likely to be just as accurate in predicting new cases as the multiple-regression formula…Formulas that assign equal weights to all the predictors are often superior, because they are not affected by accidents of sampling…It is possible to develop useful algorithms without any prior statistical research. Simple equally weighted formulas based on existing statistics or on common sense are often very good predictors of significant outcomes.”
The results of Dawes’s classic research have significant application to the field of stock picking. As a matter of fact, this type of research has had a significant impact on Sidoxia’s stock selection process.
How Sweet It Is!
In the emotional roller-coaster equity markets we’ve experienced over the last decade or two, overreliance on gut-driven sentiments in the investment process has left masses of casualties in the wake of losses. If you doubt the destructive after-effects on investors’ psyches, then I urge you to check out my Fund Flow Paradox article that shows the debilitating effects of volatility on investors’ behavior.
In order to more objectively exploit investment opportunities, the Sidoxia Capital Management investment team has successfully formed and utilized our own proprietary quantitative tool. The results were so sweet, we decided to call it SHGR (pronounced “S-U-G-A-R”), or Sidoxia Holy Grail Ranking.
My close to two decades of experience at William O’Neil & Co., Nicholas Applegate, American Century Investments, and now Sidoxia Capital Management has allowed me to build a firm foundation of growth investing competency – however understanding growth alone is not sufficient to succeed. In fact, growth investing can be hazardous to your investment health if not kept properly in check with other key factors.
Here are some of the key factors in our Sidoxia SHGR ranking system:
Valuation:
- Free cash flow yield
- Price/earnings ratio
- PEG ratio
- Dividend yield
Quality:
- Financials: Profit margin trends; balance sheet leverage
- Management Team: Track record; capital stewardship
- Market Share: Industry position; runway for growth
Contrarian Sentiment Indicators:
- Analyst ratings
- Short interest
Growth:
- Earnings growth
- Sales growth
Our proprietary SHGR ranking system not only allows us to prioritize our asset allocation on existing stock holdings, but it also serves as an efficient tool to screen new ideas for client portfolio additions. Most importantly, having a quantitative model like Sidoxia’s Holy Grail Ranking system allows investors to objectively implement a disciplined investment process, whether there is a presidential election, Fiscal Cliff, international fiscal crisis, slowing growth in China, and/or uncertain tax legislation. At Sidoxia we have managed to create a Holy Grail machine, but like other quantitative tools it cannot replace the artistic powers of the brain.
Wade W. Slome, CFA, CFP®
Plan. Invest. Prosper.
DISCLOSURE: Sidoxia Capital Management (SCM) and some of its clients own certain exchange traded funds, but at the time of publishing SCM had no direct position in any other security referenced in this article. No information accessed through the Investing Caffeine (IC) website constitutes investment, financial, legal, tax or other advice nor is to be relied on in making an investment or other decision. Please read disclosure language on IC “Contact” page.
Short Interest Coiled Springs
If short interest measures the amount of bearish bets against a particular stock, then what are you supposed to do with that data? The answer really depends on your view regarding the research quality of the bears. If you believe the bears have done excellent homework, then it will pay to pile onto the bearish bandwagon and short the stock. There’s just one problem…it’s virtually impossible to know whether the brains of Warren Buffett are leading the shorting brigade, or the boobs of Snookie from Jersey Shore are driving the negative bets.
The situations that I find especially appealing are the cases in which your research conclusions are extremely bullish, yet a large herd of traders have piled up their pessimistic short positions up to the sky in the belief share prices are going lower. These “crowded shorts” provide a large tailwind of pending buy orders – effectively pouring gasoline on the fire – if you are arrogant enough, like me, to believe your bullish thesis will play out. These “short squeezes” occur often when fundamental momentum lasts longer than the bears expect, or when downbeat expectations do not come to fruition. A classic short squeeze occurred when well-known investor Whitney Tilson recently covered his Netflix Inc. (NFLX) short position (see Whitney the Waffler), pushing a high priced stock even higher. Short interest reached almost 13 million shares in September 2010, and declined to a little more than 11 million shares a few weeks ago (compared to about 53 million shares outstanding). Given the stock’s price action, and Tilson’s response, the short interest has likely declined – at least temporarily.
The Challenge of Timing
Shorting is difficult enough with the theoretical unlimited losses hanging over your head, but timing is of the essence too. Often, a short-seller may be correct on their unconstructive view on a particular stock, but the heat in the kitchen gets too hot for them to stick around for the main course. Shorting stocks in a down market can be just as easy as buying in an up market – making money in your shorts in a rising market is that much more difficult.
Rather than follow the herd of short sellers as a trading strategy, I choose to stick with the credo of legendary investor Benjamin Graham, who stated:
“You’re neither right nor wrong because others agree with you. You’re right because your facts and reasoning are right.”
It’s my strong belief the long-term share price of a stock is driven by the sustainable earnings and cash flows of a company. The direction of price and earnings (cash flow) may diverge in the short-run, but in the long-run the relationship between price and profits converges.
Shorting Criteria
The criteria for shorting a stock are just as varied as the factors used to buy a stock, but these are some of the factors I consider when shorting a stock:
- Weak and/or deteriorating market share positioning.
- Excessive leverage – substandard financial positioning.
- Weak cash flow based quality of earnings.
- Management mis-execution and deteriorating fundamentals.
- Expensive valuations on an absolute and relative basis.
A stock is not required to exhibit all these characteristics simultaneously in order to generate a profitable short position, but the framework works for me.
If long investing is your main focus, then I urge you seek out those heavily shorted stocks that maintain attractive growth opportunities at attractive prices. If you are going to seek out rising stocks, you may as well use the assistance of a coiled spring to get you there.
Click Here to Check Out High Short Interest Stocks
Click Here for NYSE Shorts at WSJ
Wade W. Slome, CFA, CFP®
Plan. Invest. Prosper.
DISCLOSURE: Sidoxia Capital Management (SCM) and some of its clients own certain exchange traded funds and NFLX, but at the time of publishing SCM had no direct position in any other security referenced in this article. No information accessed through the Investing Caffeine (IC) website constitutes investment, financial, legal, tax or other advice nor is to be relied on in making an investment or other decision. Please read disclosure language on IC “Contact” page.