On Friday, 18 May 2012, the state of order that had existed in the stock market since 4 August 2011 came to an end.
You can see that is the case in our highly refined chart below, which is based upon the daily values for both the value of the S&P 500 index and its trailing year dividends per share, rather than the average monthly values for both that we typically feature at Political Calculations.
What we see is that the daily closing value of the index broke below its lower 3-Sigma "statistical equilibrium limit" curve that defines the bottom of the range where we could have reasonably expected stock prices to be found at least 99.7% of the time during this relative period of order in the stock market. The very low probability that we would see such an outcome if the statistical equilibrium defining the period of relative order was still in effect leads us to make the determination that the existing state of order in the market has broken down.
For us, "order" in the stock market can be said to exist whenever stock prices and their underlying dividends per share are closely coupled. When order exists in the stock market, the basic relationship between the two may be described in mathematical terms by a power law relationship, where the exponent is the ratio of the exponential growth rate of stock prices with respect to the exponential growth rate of dividends per share over time.
The basic variation of stock prices with respect to the mean trend curve defined by that power law relationship then may be reasonably described by a normal distribution, with the standard deviation in the data being measured by the difference between actual stock prices and the value of the mean trend curve for the corresponding level of dividends per share. Technically, this is the residual distribution of the data, which allows us to take the rising or falling value of stock prices and dividends per share into account, which would otherwise inflate the value of the standard deviation.
With that being the case, when order exists in the stock market as we have defined it, we have a potentially powerful method for forecasting where stock prices will go in the future. Under those conditions, stock prices will, 68.2% of the time, fall in the range between one standard deviation above or below the mean trend curve and will, 95% of the time, fall in the range between two standard deviations above or below the mean trend curve. As we have already noted, they will fall within three standard deviations above or below the mean trend curve 99.7% of the time when such order exists. All we need to know to successfully forecast stock prices when order exists is what the expected value of dividends per share is at a given future point of time.
That works up until order breaks down in the stock market, as it did on 18 May 2012. In which case, we have invented entirely other methods for dealing with that situation, which is really simply when chaos is in the driver's seat for determining stock prices, which we can do pretty well in the relative absence of noise.
If only we hadn't chosen to stop making these kinds of forecasts public, rather than simply offering timely observations. Again, and again and again.
Maybe then, people like Cantor Fitzgerald's Peter Cecchini wouldn't be so surprised about what's changed since April....
But then, what we're doing just isn't possible, is it? Just ask the guys over at Seeking Alpha....
Labels: chaos, dividends, forecasting, SP 500
Welcome to the blogosphere's toolchest! Here, unlike other blogs dedicated to analyzing current events, we create easy-to-use, simple tools to do the math related to them so you can get in on the action too! If you would like to learn more about these tools, or if you would like to contribute ideas to develop for this blog, please e-mail us at:
ironman at politicalcalculations
Thanks in advance!
Closing values for previous trading day.
This site is primarily powered by:
CSS Validation
RSS Site Feed
JavaScript
The tools on this site are built using JavaScript. If you would like to learn more, one of the best free resources on the web is available at W3Schools.com.
Other Cool Resources
Blog Roll
