Don’t Google for Profits, Just Read This: Pregame GOOG Earnings From Every Angle (GOOG, GOOSY, SPY, QQQ) 10.18.2012

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The first graphic is a daily bar chart of price’s reaction to the past nine earnings announcements from GOOG. Action after the event is mixed; in most of the sample set, six of the nine observations, GOOG gapped and pinned on expiration (red vertical line). In the other observations, GOOG gapped, but then filled or reversed into said gap. This is indicative of efficient markets and random walk…for each observation is unique and independent of past price action. The gap is price’s way of adjusting to new news. While this gap may seem inefficient, the derivatives market, in most cases, was expecting said move.

Now to what is implied for the coming event, because the GOOG October options only have two days until expiration, they will be an organic way to derive what is implied for the event today after the close. Using the KOTM implied volatility & time based model, we calculated the one-sigma move (68% probability within) to be roughly $44.17 up/down or about 68% chance we settle between $799.67 and $711.31 by the close on Friday. The two sigma move (95% probability within) is $88.35 either way or $843.85 & $667.13. On Wednesday, October 17th 2012, the stock had a 1.5% pop while the market was only up 0.5%…1% alpha (we will touch on GOOSY alpha options later). The implied volatility curve (IV being a measure of risk, supply and demand, relative price, and an input into theoretical models) is displayed below, for it is important to know, especially if one is trading two different months in a spread.

The following chart includes the one and two sigma rolling probability cone, volume profile, and major moving averages (50, 100, 150, & 200). While the chart may seem noisy, it sure does tell us a lot if you listen! GOOG broke out of its June-July range on 7/5/12 and has yet to seriously look back. The recent pullback tested the trend line and 23.6% Fibonacci retracement level. Other than little support levels like prior lows, the next serious support level is the 50-day moving average at $710. On expiration Friday the 50-day will sit at the lower end of the two-sigma rolling probability level. The rolling probability levels and the KOTM probability levels differ for inputs like IV were not the same. The rolling used a lower IV, an average of the whole IV curve, which says there is a 2.5% chance we test the 50-day by expiration Friday (nearest red vertical line) vs the KOTM probability of 16% we test the 50-day by expiration Friday. The KOTM model is only used for the next two days, for it would not be appropriate to input 80% IV over the long term, as this one is only used before an earnings announcement. Additionally, we are currently sitting at the point of control on the upper, yet small, distribution. The other moving averages sit about 15% below us.

The ATM (at the money) front month $755 straddle (lifting the offer) is at about $39.50 (5.2% of stock). Because deltas move to one faster near expiration, it is easy to calculate break evens on the straddle; $715.75 & $794.25… IV crush, large gamma, and time decay. It is vital to note that given the ATM straddle, it is estimated that GOOG will need to expire one standard deviation away from where we are now, or move + or – $44, either way, just to make about 10% on the trade (using the KOTM sigma model).

IV is actually cheap however, historically speaking, given the average is 102% and Wednesday closed at 79%. The average % move and net change are about 7% & $40 respectively…see excel sheet for all data. Considering GOOG’s price, the ATM straddle will cost about $4,000. This is where the GOOSY will come in handy, while this is not a pure GOOG play, (see link below for alpha options explanation), it does lower the relative cost. The $88 ATM GOOSY straddle is about $4.10, about 4.6% of that product, and only $410 per one lot!

Alpha options explained here LINK

http://www.keeneonthemarket.com/blog/1562-goog-aapl-spy-alpha-option-review-avspy-a-goosy-10172012

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Author

salerno.mark.a@gmail.com

Data courtesy of Thinkorswim

 

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