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Kim, when backtesting the pre-earnings calendars, is the idea to track the price of the ATM spread each day in the runup to the historical earning date, whatever the ATM strike price happens to be on a particular day? 

 

For example, FSLR calendar: the underlying might be 60.00 on Monday, 62.50 the next day and 65.00 the next day etc -- do you look at the price of the 60 calendar on Monday, the 62.5 calendar on Tuesday and the 65 calendar on Wednesday?

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Yes, always ATM calendars. This is how Dustin has his charts as well. The reason is that we want to eliminate the impact of the stock move. This is something we cannot control in real life, but for many stocks we trade it will not make significant impact.

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Kim, I had a look at the historical ATM spread values for the recent GOOG April 15 calendar we did using ThinkBack's End of Day data.

 

Across the days I looked up running up to earnings, the average ATM value was 1.52, with a minimum of 1.43 and maximum 1.73. In other words, the granularity of the EOD data is not fine enough to show the 1.15 entry that some folks achieved on 20 April.

 

Is it necessary to be looking at the intraday spread prices to establish the range for the day or is EOD good enough?

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    • By Jesse
      Although they may not be selling a strategy or investing concept to investors, they do have incentives to get their research published in academic journals that their peers may read and respect. There is also the financial incentive of job security by earning tenure at their university, for it’s“Publish or Perish” as the phrase goes. This means few, if any, are immune from the incentives to create an attractive looking backtest.

      Does this mean we should dismiss all backtests? Certainly not, it just means we need a process, or series of scientific tests, that we run all our backtests through in order to keep ourselves out of trouble and from falling prey to good stories told by good salesmen. I must give credit where it’s due here. Both Dimensional Fund Advisors and the books and writings of Larry Swedroe have influenced my thinking when it comes to this topic.  For those who want to go deeper, I recommend reading Larry Swedroe’s book, “Your Complete Guide to Factor-Based Investing.”

      The 5 characteristics to look and test for when considering investments are:
      Persistent across time. The strategy or factor can be tested on long periods of historical data to increase statistical confidence. Larry Swedroe often points out that the average investor thinks three years is a long time, five years is a really long time, and 10 years is an eternity...yet if you ask academics, they will tell you that 10 years is nothing more than random noise that likely should be ignored. For example, the S&P 500 returned -1% per year from 2000-2009. Would that have been a good indication of long term expected returns for buying large cap US stocks? Since then, the S&P 500 has compounded at more than 12% per year, which is better than its long-term average. This is similar to how in August of 1979 BusinessWeek wrote a cover story called “The Death of Equities” after the S&P 500 had experienced a similarly long period of poor performance. The S&P 500 went on to compound at more than 17.5% annualized for the next two decades, turning $100,000 into more than $2.6 million.
        Pervasive across markets and geographies. The strategy or factor holds up when tested on other markets and countries. For example, the momentum effect has been found to exist in stocks, bonds, commodities and currencies. It’s also pervasive across sectors and in the historical data of nearly every country.
        Robust to various definitions. An effect should still show up when constructed with similar parameters. For example, the value effect is both persistent and pervasive as well as robust to alternative specifications. Whether it's price to book, price to sales, price to earnings, price to dividends, price to just about anything...you find in the historical data that value stocks (low price relative to fundamental measurements) outperform growth stocks (high price relative to fundamental measurements) over the long term all across the world.
        Investable. The strategy exists not just on paper but survives real world issues such as manager fees and realistic assumptions for transaction costs. Many anomalies discovered in the historical data persist simply because they are difficult to implement at size in the real world. Academics refer to this as "limits to arbitrage,” where an anomaly persists in the data because it's difficult or impossible to actually implement at scale and therefore it’s really only a paper illusion.
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      When investors understand the concepts discussed in this article, your investing life will never be the same. Using this checklist dramatically improves the odds of success and can keep investors from falling prey to a good sales pitch or chasing a good looking backtest that is unlikely to persist going forward in time on a net of all costs basis (transaction costs, manager fees, and taxes).
       
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      The biggest risk of a portfolio diversified by factors becomes more behavioral, where your portfolio will at times perform far differently than conventional market benchmarks that are only exposed to the single factor of market beta. Since the only purpose of investing should be to achieve your long-term goals with the least risk, this should be an acceptable trade-off for a well-educated and well-behaved investor.
       
      Jesse Blom is a licensed investment advisor and Vice President of Lorintine Capital, LP. He provides investment advice to clients all over the United States and around the world. Jesse has been in financial services since 2008 and is a CERTIFIED FINANCIAL PLANNER™ professional. Working with a CFP® professional represents the highest standard of financial planning advice. Jesse has a Bachelor of Science in Finance from Oral Roberts University. Jesse manages the Steady Momentum service, and regularly incorporates options into client portfolios.
       
       
    • By Reel Ken
      The Theory is pretty easy to understand. It is backed up by mounds of statistical proofs and observations. Advanced math skills are not necessary.  It is really borne out of two separate but interrelated concepts …  1) Market Performance and  2) Individual Performance. Let’s take a look at these two elements:
       
      Market Performance:
      A statistical proof exists; separate from data collection or observation, that indicates the market should have an upward bias (or positive skew). Observations and data, collected over the last 100 years confirm this to be true.  It is noteworthy that the data confirms the theory and not the other way around. One doesn’t need a statistics degree to confirm this … they need only look at any long term chart and they can easily see that the market is an ever upward climb.
       
      Of course it has it “fits and spurts” but the upward bias is obvious to all that take the time to look.Though there is some discussion of how large this skew is, most studies indicate that the market is up 60% to 70% of the time. This seems to hold true when viewed over decades, years, month, weeks and even days.
       
      Individual Performance
      This is a little bit trickier to explain … but I’ll do my best.  First, we must differentiate between the “trader”, the “market timer” and the long term investor. There have been many studies of professional money managers and individual investors that differ somewhat in their quantitative results but agree in the overall result … most investors (pros and DIY) underperform a simple buy and hold of abroad market index. Furthermore, this underperformance is not small … in some studies is as much as 5% per year in the short term, and even more in the long term
       
      Time Period (ending Dec. 31, 2014)
      Average Equity Fund Investor Return
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      Simply put: The most effective investment strategy is “buy and hold” but few actually accomplish this end. The reason seems to be pretty simple … the average investor is driven “emotionally” not logically.Every seasoned investor has experienced this  ... or they are kidding themselves. No one … yes, no one … is immune.

      Additionally, asset allocations such as the most popular 60%/40% stocks/bonds are widely recommended. Contrary to this, the data indicates that the most effective allocation is actually 100% stocks. By example, if we took the Five Year results from the above chart we would have a 10% Equity return. But if one was, say 60% in stocks, the equity return as a percentage of their portfolio is closer to 6%.  So, on a portfolio basis they are not achieving anywhere near the 10% return. Contrast that with over 15% had they just simply put all their assets into an index fund and not engaged in any trading activity.

      Of course, very few investors will accept this because of the risk of loss in down years (we all remember 2008). But, once again, the path is clear … it is the emotional courage that is at issue. Even the worst of down years are regained in a couple of years. Nonetheless, investors seem willing to accept less than optimal returns in exchange for some degree of safety.
       
      Calendar Option Theory
      Let me be emphatic that this conversation is about utilizing calendar spreads as an adjunct to or as a core position. It is not targeting “one-off” trades”. That’s for another day.

      So, this brings us full circle to the theory behind calendar spreads (and most hedges, for that matter).  Investors should seek out ways to be fully invested and also limit their downside risk.  The theory is based, mostly, upon the fact that most investors would have increased PORTFOLIO returns if they abandoned traditional asset allocation mixes (such as 60%/40%) and, instead put 100% of their portfolio in an index fund and bought a far dated put to protect the downside.

      It is so with calendar spreads. One can expand their allocation towards equities, and away from bonds, while protecting against loss.

      Of course, the far dated put detracts from returns, but the ability to be 100% equity invested, the ability to have a cap on the downside (usually less than 5%/year) will enable the investor to outperform traditional asset allocations and … most importantly … enable them to avoid panic and emotional selling.

      Now, with this theory behind us, let’s look at calendar spread methodology.
       
      Methodology
      First the time to employ a calendar spread is during a rising market (or at least a flat market) when volatility is average or lower. This is common sense. The far-darted long put wants to be bought at the most economical price and lower volatility lowers the cost. Not rocket science.

      Next, and the more difficult part, is the setting of the near--dated put-write. This is complicated because one needs to consider the strike; the expiry; and when to roll. So let me give some guidelines.
       
      Strike
      One can “play around” and try to guess the market and go ITM, ATM or OTM as they please. My personal experience and the rather dismal track record for “market timers” would discourage this in favor of a more systematic approach. This approach would be based upon the concept that the market has upward skew. It is also aided by the fact that the downside is limited and protected by virtue of the long, far dated put.
       
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      Expiry:
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      The 1% ITM shows gains in and of itself and compared to a further-dated as long as the weekly move is less than 2% up. Now, there will be times that the move is greater than 2%up. This will happen, on average, 4 times a year.  But the frequency of large up moves may be offset by “Holding the Strike”.
       
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      Summary
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      Over-runs are more problematic. They resemble the issues that traditional investors face on up moves. Is it going further or is it coming down? The only way to fully resolve this is to make a determination as to whether it is a knee jerk or fundamental move.

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