The option strategy of buying stock and then writing call options against it - known as buy-write - is still generating some of its highest premiums in over 20 years (see WSJ article). By using a hypothetical version of the strategy using the BMX index as a comparison, the CBOE found that a buy-write strategy would have produced an 8.1 percent gross monthly premium in November, topping the second highest recent premium of 7.1 percent generated in October just a month earlier. Since June 30, 1986 until the end of October, 2008, the strategy has generated an average annualized return of 9.2 percent, while the S&P 500 index produced a return of 8.7 percent over the same time period. While volatility will not always be as high as it is now, nor will it always generate healthy option premiums and a nice return over the S&P 500, even an average 0.5 percent extra return over more than 20 years starts to look pretty good - not to mention compounds into some significant cash.

For those a little intimidated by option strategies, keep in mind that with a buy-write strategy your obligation for the written call is covered by owning the stock (a covered call). Therefore, you don't have the same potential "infinite" loss that scares away many investors from writing options. Of course, there are downsides. Besides the fact that your long position could decrease in value, an additional downside is that your long stock position could be called away if the stock produces a significant move - causing you to potentially leave some money on the table. Nonetheless, the strategy forces a sell discipline, which for many is the most difficult part of investing. For instance, if a 3-month call has an exercise price that is 20 precent away from the current price of the long stock position, then the stock could be called away once its price rises more than 20 percent in 3 months. Certainly disappointing when the stock moves much more than 20 percent, but you still lock into 20 percent (plus the premium) in 3 months or less. Not bad in my book. In the mean time, the premium provides additional downside protection, just in case you end up not picking a winner. For those interested, some additional information on buy-write strategies can be found here, here, and here.

Interesting chart over at the Bespoke Investment Group site showing how the 50-day average of the daily percentage spread between high and low crude oil price is near the average of the last ten years. Of course, daily price moves are bigger, and short-term volatility may in fact be higher. The results are interesting nonetheless. It would also be interesting to see a longer chart coving some of the 1970s in inflation adjusted terms.

As I was browsing various blog sites I came across an article entitled "What is High Implied Volatility?" at the VIX And More blog. The article is worth a read, and is linked above, but I wanted to mention and elaborate on a simple concept from the article that often gets overlooked. As traders and professors we often instruct students and others about how we can compare implied volatility to historical volatility to see whether an option is over-price or under-priced, assuming that the historical volatility is constant, and that it will stay that way into the future. Of course, comparing the two in real-life without such assumptions can be a little more complex.

As described at VIX and More, we need to compare the current implied volatility with a defined range of either historical volatility or implied volatility. Of importance are the time frames used, the type of past volatility (historical or implied), and the comparison universe (the same stock and/or similar stocks). Furthermore - and this is the key - we must not forget that historical volatility is by definition, and calculation, backward looking. On the other hand, implied volatility is forward looking and considers the market's expectation and potential reaction to news and events, such as earnings, dividends, FDA phase testing results, Federal Reserve actions, etc.

To make life easier, sometimes a relative measure, even one that considers a range or moving average, is useful. For those with a little more background and interests in mathematics and modeling, one of the many variations of the Generalized Autoregressive Conditionally Heteroskedastic (GARCH) models, or stochastic models of implied volatility surfaces, can be used. Other models also exist. I have used GARCH and find it to be useful when constructing option spreads, although parameter selection is necessary. With the right software, even a pre-programed Excel spreadsheet, the analysis can be implemented with less pain than expected, and sometimes incorporated into defined trading rules for those platforms that allow such integration.