As a result of its elevated profile, the VIX is now followed by a wider variety of investors than at any time in the history of the index. But while the VIX is an important tool, investors -- including those who do not trade options -- would be well-served to look past the VIX for a more nuanced understanding of volatility and its implications for their portfolios.A case in point is the little-known VXV, whose formal name is the CBOE S&P 500 Three-Month Volatility Index. The VIX calculates implied volatility in S&P 500 index options for merely the next 30 days, but VXV uses a 93-day time window. The different time horizons have some important implications.
03 July 2009
The VXV
Where For Art Thou, GS?
02 July 2009
I'm Buying
MarketWatch - why do you pass on this gobbledegook? You guys know as well as all of us that the U.S. government "statistics" are about as dependable as a 2 dollar watch.
01 July 2009
Market Manipulated! Levin Lets The Cat Out Of The Bag!
The meaty bit starts at about 2 minutes in."Larry Levin is a professional futures trader. He has been in and around the S&P 500 futures pit at the largest futures exchange in the world; the Chicago Mercantile Exchange (CME), for almost 20 years.Larry has been trading his own account or company's proprietary accounts since 1993, trading an average of 2500-3000 E-mini S&P futures contracts a day."
Covered Calls and Naked Puts - Same Only Different
30 June 2009
Put Spreads - How to Blow Yourself Up In One Easy Lesson
- Proper money management/position sizing is used.
- Reward versus risk is commensurate with the probability of win/loss.
- Be careful of correlation with multiple positions.
29 June 2009
Naked Puts - A Horror Story

26 June 2009
Naked Puts - An Addendum
It's not 'being comfortable with the risks' that is the prime consideration.What is important is for the trader to understand that there is an alternative strategy. Then the alternatives can be compared, and an intelligent choice can be made.
I prefer selling put spreads. For me, the reduction in potential loss is well worth the reduced profit potential. That's my comfort zone, and each trader should find his/her own.
I've moved into the camp that believes that naked put selling is ONLY for investors who want to buy shares as an investment. Traders would do better to use positions that are less risky. That's my opinion - it's not a demand that others agree.
The fact that selling puts is less risky than buying stocks, doesn't mean it's a strategy without substantial risk.
- Folks happy with the risk of covered calls may feel equally happy to trade naked puts of the same face value.
- Folks realise that covered calls are far more risky than the muppet that sold them a course has told them. I've even seen it claimed that covered calls carry zero risk. :-P
One more point. I don't dislike the idea of naked put selling. In fact, it's one of three strategies that I believe is suitable for rookies. But once the investor has some hands-on trading experience, I suggest moving on to the safer put spread.
I think that's good advice. The caveat being that people can still crash and burn with put spreads. There were a whole host of them I know of in Australia, the followers of one particular "guru" who promoted put spreads as a investing panacea, encouraging people to essentially have their entire capital as risk in correlated underlying stocks. The recent market crash machine gunned those poor folks to pieces.
25 June 2009
Naked Puts - Myths and Truths
- Naked puts are extremely risky.
- Naked puts have unlimited risk.
- Don't ever trade naked puts.
- Naked puts cause diabetes and heart disease.
22 June 2009
Of Tribes And Markets
Many centuries ago, a great chief took his son on a journey across the great plain, over two great rivers, across the desert, through the forest whereupon he found a high place. He told his son to look as far as his eye could see and said:Son, we are Carvetii, this is Carvetii country, and forever more the tribe was known as the Carvetii.
At about the same time another great chief took his son on a journey through a great forest, across two deserts, over a river and to the highest point for 100 miles. He told his son to look as far as his eye could see and said:
Son, we are Cantiaci, this is Cantiaci country, and forever more the tribe was known as the Cantiaci. (These are ancient Briton tribes in case you were wondering.)
Yet another great chief took his son on a great journey at the same time so many centuries ago. He led his son across three plains, across 14 deserts, paddled over 5 lakes, traversed 7 mountain ranges, through 3 forests, across another three deserts, another 2 rivers until he found a high place. He looked at his son and said:
Son, where the Fukawee, and forever more, that people were known as Fukawees.
Centuries later, I am wondering the same thing following the markets convolutions. VIX seems to be moribund, yet is higher than at most times before Sept 2008. Bubblevision boasts of green shoots and recessions ending, yet real world data still indicates death by a thousand cuts. Housing industry vested interests speak of a bottom, yet housing remains very expensive by any sensible vectors of value (here in the UK at least).
01 June 2009
Here Endeth The Hiatus
Anyone who's followed me for a while will know that I was a bear... vindicated!
I'd like to say that I got rich out of it, alas, as I've also said before, extreme volatility is a bitch to trade. I had some great wins, but also some losses. What's new? Business as usual.
The cool thing is that even through some of the stormiest stock market action for years, option traders can still make a good living, while long only investors were taken to the wood shed. Though the ballsy ones who jumped on at the bottom might be feeling pretty chuffed.
Anyway, for better or for worse, I'm back.
07 May 2008
More About Volatility
Firstly I want to concentrate on HV. As I’ve pointed out in previous articles, HV looks backwards. A period of time is selected, that is, the most recent x days of data is used to calculate the historical volatility mathematically as per my previous article on volatility.
This begs the question, how many days should we look back over: 10 days, 20 days, 30, 100, 250? The general rule of thumb is either 20 or 30 days, roughly one month. But depending on the look-back period, we can get vastly differing figures for HV.
Consider the following chart where 10, 20, 30 and 100 day HV is plotted: click to enlarge
This shows the vastly differing values that can be derived, depending on the look-back period.
And below, the IV mean compared against 30 day HV for the same chart:Three things to note here:
1) The market does a reasonably good job of it at times, but drastically wrong at other times.
2) It is not possible to do in real time as we cannot see into the future.
3) Volatility is mean reverting; it tends to oscillate up and down around the mean.
We can use this information to make a “guess” as to what volatility (not direction) will do next. It is suggested in many texts to buy options when IVs are low and to sell options when IVs are high. It is also suggested that options are overpriced when IV is higher than HV, and under priced when IV is lower than HV.
That may be the case at times, but at other times it is absolutely false. It is then clear that assumptions such as these can get you into trouble if applied indiscriminately. But it is a good starting point; just don’t treat it as gospel.
How can the trader tell when options are overpriced or under priced? You can’t! You can only do it in retrospect.
However as traders, we get paid for taking risk. The options trader must make a volatility bet along with a bet on direction (or no direction). So if IVs are high, the question is whether the underlier is about to get very volatile for some reason, or whether option traders have just got a bit carried away and realized volatility does not increase, or falls; and visa-versa.05 May 2008
Implied Volatility
For instance, I may believe a particular option’s fair value is $2.65 using my own volatility projection, but when I go into the market it may be $3.75, for the sake of example. What is going on?
What is happening here is that the “market” believes that the future volatility of the underlier is going to be a lot more volatile than you do. How does the market do that? Simply by the bids and asks in the market depth and by arbitrage. Depending on your data supplier or broker, there may be a figure supplied called “Implied Volatility”.
This is worked out by algebra, using the first five unequivocal inputs into the option pricing model and the tradable price, which is also unequivocal at that point in time, to derive a volatility figure. So what we are saying here, is that the volatility “implied” by the option’s price is x; Hence “Implied Volatility”.
Let’s look at an example:
* The underlier (XYZ) is trading at 52.75 with no dividend payable.
* I’m looking the XYZ $55.00 call option, which expires in 63 days, which I can buy for $2.45.
* Risk free interest rates are 5%
By plugging those known values into our option pricing model, (in this case I’m using the Cox, Ross & Rubinstein Binomial Model) we can calculate an implied volatility of 36.7%.
So how does that help us?
Quite simply, it is from this figure that you can determine whether the option is fair value or not.
Often in various textbooks and spots around the Internet, the suggestion is to compare Implied Volatility (IV) to Historical Volatility (HV) to determine whether an option is over, or under priced. This is a gross oversimplification. Historical volatility should be studied to get an idea of the volatility characteristics of the underlier, but says very little about what volatility will be going forward.
Remember Implied Volatility looks forward, while Historical Volatility looks backward. For instance, IV can rise before an earnings announcement, sometimes quite dramatically, even though the underlying stock has become very non-volatile as the market waits for the announcement. The market is therefore making a judgment on the volatility once earnings are released. IV invariable drops equally dramatically once the earnings are actually released, as the market discounts the move from the announcement.
The history of Implied Volatility can be plotted on a chart, just like Historical Volatility, again to see the characteristics of IV and how it changes under various circumstances. There are various vendors of IV data, but there is a free source from www. cboe.com from where I sourced the following chart:
The IV plotted in the above is an average of near expiry, implied volatilities across several strikes, so the IV of the particular option you’re interested in may vary somewhat from what is represented here. It does however give the trader an idea of the ebb and flow of volatility over time. You can use this information to make volatility projections and to bet on future volatility fluctuations with a suitable strategy.
The standard wisdom is to buy low volatility and sell high volatility. While this may make sense on the face of it, it isn’t always the wisest thing to do, but more on that later.
Next - More On Volatility
02 May 2008
VIX Doldrums
A few thoughts on the situation on the VIX.From VIX And More:
Dissecting views on VIX technical analysis
VIX Numbers and Overbought Signals
Ten Things Everyone Should Know About the VIX
And from The Daily Options Report:
On VIX @ < 20
Tommorow Cancelled
It certainly has gone a bit quiet and the market seems to be anticipating a repeat of last summer's relentless upward grind.
Sans the end of the world happening, I think that about sizes things up until next earnings season... unless of course the sky does fall down.
Volatility
It is my observation that there is often a bit of confusion about this term. If you listen to any of the financial media, volatility is only ever mentioned when the market is going down. To be sure, a 400-point down day on the Dow is a volatile move, but a 400-point up day is never described as volatile, yet it is equally so.
In the simplest terms, volatility is the relative rate at which the price of a security moves up and down. Market technicians have various methods of measuring volatility, using a variety of formulae, but our option pricing model requires a particular measure of volatility; the annualized standard deviation of logarithmic daily change in price.
Now that’s a mouthful, and most option traders view volatility in relative terms without understanding the calculation, but I think it helps to actually understand the mathematics behind it. We can do this with Excel or charting software, which I will give an example of, but let’s do it in English first
We start of by calculating for each day’s data, today’s closing price divided by yesterday’s closing price. This will return a number that is today’s price as a proportion of yesterday’s price. If there is no change, the number will be 1.0, if it is up 2% it will return 1.02, if it is down 5% it will return 0.95 and so on.
The next stage is to find the natural logarithm of the above. This is to reflect the lognormal distribution of stock market returns. Next, multiply this by 100 to express it as a percentage. We can plot this as a scatter chart, which will show the lognormal daily move as a percentage

The next step is to calculate the standard deviation of the above. Normally this is calculated over the last 20 or 30 days of data; it can be any length, but for this example we will use 20 days. This gives us the standard deviation of logarithmic daily change in price, which can be plotted on a chart to see changes in volatility as time goes by. However, Option Pricing Models require that volatility is expressed as an annualized percentage and we do this by multiplying by the square root of the total number of trading days in a year, which is the square root of 252.
This is now the finished volatility calculation, which is called “Historical” or “Statistical” volatility, plotted in the chart below”

This equation can be plotted in charting software to show current and past historical volatility. In Metastock or Amibroker language, (the two platforms I am familiar with) it can be plotted by using the following formula:
(StDev(log(C/Ref(C,-1)),20)*sqrt(252))*100
The above formula calculates historical volatility based on he last 20 days, the figure in red. Any look-back period can be used and some option traders use various length.
So now we can enter this volatility figure into our Option Pricing Model to get an accurate option price; or can we?
The historical volatility number, depending on the look-back period can vary enormously, and as the name implies, looks at past data, whereas what we really want to know as option traders is what volatility will be in the time left until the option expires. As this cannot be known, this forces the option trader to make a volatility forecast, or at least an idea of where volatility might be relative to the present in order to calculate his or her idea of fair value. This where historical volatility can be used as a tool, but the trader must look forward.
Often the market will disagree with you, which I will discuss in the next section.
Next - Implied Volatility