This is a rebroadcast of OICs webinar panel. In this deep dive discussion, Frank Fahey (representing...

# Volatility Can Find Great Option Trades

08/17/2012 9:00 am EST

**Focus:** OPTIONS

*JW Jones** of **Options Trading Signals** explains how volatility in individual stocks can help an option trader find money-making trades.*

One of the hallmarks of an option-based trading approach is the ability to accommodate various market conditions by varying the specific construction of your option trade in order to maximize the probability of success.

In order to form a logical basis for trade selection, it is best to think in terms of each of the three primary forces impacting option pricing—price of the underlying, time to expiration, and implied volatility.

For option traders, one of the fundamental characteristics of the current market is the extremely low implied volatility. The new trader could reasonably pose the question “How would I know that?” There are several answers to that question.

First, the most widely followed indicator of implied volatility is the Volatility Index, aka the VIX. This somewhat arcane calculation reflects the implied volatility of the S&P 500 index options, and as such is a useful barometer of the overall market volatility. Its current daily chart is included here for reference. Suffice it to say that it is currently at very low levels.

Less generally known is that there exist volatility indexes for several of the less broadly followed indices, such as the**Russell 2000 Index**(RUT), whose volatility symbol is RVX. The

**PowerShares QQQ Trust**(QQQ) also has its very own volatility index in symbol QQV. These less broadly based calculations are particularly useful when the implied volatility of a specific index is not congruent with the general measures of volatility.

Yet another layer of granularity in volatility calculations exist in a few underlying assets for which the CBOE calculates a volatility level. These include: **Apple **(AAPL), **Amazon **(AMZN), **Goldman Sachs **(GS), and **Google **(GOOG).

Another stock for which this index is calculated is **International Business Machines **(IBM). Its current volatility chart is presented below:

Not only is the IBM implied volatility currently at very low levels, it is substantially less than the actual historic volatility (labeled SV in chart below), and in fact it demonstrates the largest downward divergence from historic volatility we have seen this year.

|pagebreak|For the option trader, the take-home message from this assessment of the current state of implied volatility is that negative vega trades—trades that are inversely impacted by increases or decreases in implied volatility—face a stiff headwind here. Probabilities strongly favor both a convergence of historic and implied volatilities and return of the current low values of volatility to its historic mean for IBM.

Most option traders usually prefer to enter negative vega trades because this type of trade construction usually benefits from the inevitable and unavoidable passage of time. Examples of such trades would be naked short puts, butterflies, and iron condors. While such trades are not absolutely contraindicated in the current environment, they are not trade structures we would choose first.

Let us consider for discussion one of the positive vega trades available in order to increase the probability for a successful outcome. The trade I would like to demonstrate is known as a horizontal spread, a time spread, or most commonly a calendar spread.

The fundamental logic of this spread is to sell a rapidly decaying shorter-dated option and buy a longer-dated, more slowly decaying option at the same strike price. The specific strikes for the trade are selected so that the short option is out-of-the-money in order to avoid the potential complication of early assignment.

An example of such a trade using the August and September monthly options at the 205 strike is presented below and reflects a mildly bullish price hypothesis for IBM:

Several points of general applicability for calendar spreads deserve emphasis. Our IBM example has ten days of total duration and for this example we will be looking at a ten-lot trade costing $1,490.

Most importantly, the IBM Calendar Spread reaches maximum profitability at expiration when the underlying is at the strike price. This characteristic is clearly seen in the broken lines on the P&L graph, which gradually rise to meet the solid expiration P&L line. I would also point out that the IBM trade has a positive vega of 166, meaning that for every one-point increase in volatility, the trade profits $166.

The last point of emphasis, not immediately apparent from this graph, is the potential for additional profit. As expiration approaches for the August 205 call we are short, there exists the ability to sell additional premium in the weekly calls that would then be available.

As with all option trades, it is important to understand crisply the risk of the trade, since we can only arrange probabilities in our favor—there are no guarantees of profit.

This trade has a defined maximum risk of the cost incurred to enter the trade. This is the level of absolute maximum risk that has a low probability of occurring, since we have the ability to sell additional premium to reduce this outcome or to simply close the trade should market conditions change.

This IBM Calendar Spread is just one example of using the current market conditions to put the wind at your back as an option trader.

**JW Jones can be found at Options Trading Signals.**** **

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