161 comments on How Periodic Are the Oil Price Fluctuations?
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GAIA Host Collective
The twelve $10 moves are marked in red. These all occurred within 2 month periods. I've also counted 10 2-month periods where the price traded within a $10 range.
I've got one more I'll throw in here at the end of the line. But after that I'm done.
But I will tell you this. If you were to substitute Americans for those frogs you speak of. And if you substituted gasoline prices for the boiling water. You'd probably be right.
http://www.econbrowser.com/archives/2005/07/100_a_barrel_wh.html
This is a one standard deviation measure of how much prices are likely to change in a year. For shorter periods, we reduce it proportionately. For two months, 1/6 of a year, this is about 6%.
Now, that's one standard deviation. In general there is a 68% chance of staying within 1 SD, or plus or minus 6% price change. 68% of the time, prices will change by less than 6% in a 2 month period.
Two standard deviations would be twice as much, and correspond to 95%. 95% of the time, price will vary by no more than plus or minus 12%.
Three standard deviations would be plus or minus 18%, and corresponds to 99%. 99% of the time, prices will change by no more than 18% in a two month period.
In this cases, prices fell from about 78 to 61. This is a drop of 22%, or more than a three standard deviation change, in fact almost four standard deviations. It should happen something like one in ten thousand times. Either oil price volatility has increased markedly (and I don't know that we see much evidence for that prior to the recent change) or else this was an extremely rare occurance.
Well, I suppose that's no surprise, we already knew it was rare, prices haven't fallen this much this fast in many years. This just shows how rare it is.
Now, one caveat - these statistics are based on a normal distribution. However financial prices are slightly "leptokurtic", a fancy word that just means "fat tailed". (If you like to live dangerously, try telling your girlfriend she's leptokurtic and say it's latin for beautiful.) What it means is that extreme moves are more likely than would be the case for a classical normal curve. Market psychology is more likely to lead to extremes than the kinds of physical processes that are often described by normal curves.
The bottom line is that this 22% drop in two months is in fact rare, but maybe not quite as rare as the calculations above would suggest. Four SD drops do happen in the market but they are certainly noteworthy.
And let me point out that Khebab's prediction graph shows us climbing back up to around 85 in November. An increase from 61 to 85 in two months would be 6.5 standard deviations! That would be even that much more remarkable than the drop we've already seen.
If I look at the lognormal distribution properties:
the variable mu is a linear dependent function of time in my case (log(Price)= 0.2615*(t-2002)+3.1). We have the following relationship for the mean and the variance of lognormal distributed variable X:
so the standard deviation is proportional to the mean. The coefficient in my case would be sqrt(exp(0.091^2)-1)= 0.0912= 9.1% wich is not far from the 6% you are using. So volatility would be given by the following function:
0.0912 * exp(0.2615*(t-2002)+3.1 + 0.091^2/2)
using this formula for mid-September 2006, we get a volatility between $6.89 and $7.03. The 95% confidence interval would be [$61.2, $89.2]. The recent drop of $22 is 22/75.2= 22.6% which is 22.6/9.3= 2.43 SD. The move toward $85 would be 3.44 SD with my value.