to your HTML Add class="sortable" to any table you'd like to make sortable Click on the headers to sort Thanks to many, many people for contributions and suggestions. Licenced as X11: http://www.kryogenix.org/code/browser/licence.html This basically means: do what you want with it. */ var stIsIE = /*@cc_on!@*/false; sorttable = { init: function() { // quit if this function has already been called if (arguments.callee.done) return; // flag this function so we don't do the same thing twice arguments.callee.done = true; // kill the timer if (_timer) clearInterval(_timer); if (!document.createElement || !document.getElementsByTagName) return; sorttable.DATE_RE = /^(\d\d?)[\/\.-](\d\d?)[\/\.-]((\d\d)?\d\d)$/; forEach(document.getElementsByTagName('table'), function(table) { if (table.className.search(/\bsortable\b/) != -1) { sorttable.makeSortable(table); } }); }, makeSortable: function(table) { if (table.getElementsByTagName('thead').length == 0) { // table doesn't have a tHead. Since it should have, create one and // put the first table row in it. the = document.createElement('thead'); the.appendChild(table.rows[0]); table.insertBefore(the,table.firstChild); } // Safari doesn't support table.tHead, sigh if (table.tHead == null) table.tHead = table.getElementsByTagName('thead')[0]; if (table.tHead.rows.length != 1) return; // can't cope with two header rows // Sorttable v1 put rows with a class of "sortbottom" at the bottom (as // "total" rows, for example). This is B&R, since what you're supposed // to do is put them in a tfoot. So, if there are sortbottom rows, // for backwards compatibility, move them to tfoot (creating it if needed). sortbottomrows = []; for (var i=0; i
Nobody can predict where stock prices will go next, can they? Especially given the volatility of stock prices, especially in today's market, where the market can swing by more than 3% in any given day, right?
It's just not possible, is it?
To really find out, we ran a two-year long experiment, from April 2009 through April 2011, to see if we could forecast the average value of stock prices for a month at the end of the previous month. Here were our final results:
As you can see, we offered a split final forecast option for April 2011. Here's what we believed would happen instead:
What we believe is likely is that stock prices will track upward from the average level of 1304 they recorded in March 2011 toward the 1393-1429 level our primary method would forecast as the noise currently in the market subsides.
And that's what happened. In April 2011, stock prices did indeed track upward, rising to an average level of 1331 for the month, with the S&P closing the month at 1363.61.
We took the next several months off from offering public forecasts of where the S&P 500 would head next, but by 26 September 2011, we couldn't resist any more, and posted the following chart, which presents a graphical prediction that happens to cover the period through the end of 2011:
And here's what the updated chart looks like, through the end of 16 December 2011:
What can we say? We're still in the zone! And that concludes, for real this time, our public experiment in forecasting the future for the S&P 500!
Labels: 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:
The S&P 500 at Your Fingertips
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Tipping Around the World
What's Your Body Fat Percentage?
The Odds of Dying, Again!
The Biggest Issue of 2010, In One Chart
Hauser's Law
Average Lifetime Earnings Trajectories by Education
First Time Visitor to Political Calculations?
On the Moneyed Midways
A Lot, But Not All, of Our Tools
Political Calculations' U.S. GDP Temperature Gauge provides a means to quickly evaluate the growth rate of the U.S. economy against the backdrop of how the economy has performed since 1980, with the "temperature" color spectrum ranging from a recessionary "cold" (purple) through an expansionary "hot" (red).
The GDP Temperature Gauge presents both the annualized GDP growth rate as reported by the U.S. Bureau of Economic Analysis reports for a one-quarter period and also as averaged over a two quarter period, which smooths out the volatility seen in the one-quarter data and provides a better indication of the relative strength of the U.S. economy over time.
Political Calculations' Recession Probability Track shows the probability that the U.S. economy will be in recession 12 months from the indicated date (shown in red) while revealing the probability trend over the past four years.
Previously, the probability of recession peaked at 50% on 4 April 2007, which means that March-April 2008 was the most likely period in which the NBER would have found the U.S. to be in recession.
As it happens, they almost did. The NBER instead chose December 2007 as the beginning month of the most recent recession (we had found a 46% probability for a recession beginning in that month!)
The Recession Probability Track ceased to be a leading indicator of recession in the U.S. following the Federal Reserve's adoption of its current Zero Interest Rate Policy, where the Fed artificially constrains short term U.S. Treasury yields near zero percent. We continue to post the Recession Probability Track to monitor the yield on the 10 Year Constant Maturity Treasury, where a falling value provides a leading indication of a worsening economy.
Political Calculations is also the online home of On the Moneyed Midways (aka OMM), a review of the best posts contributed to the week's best business and money-related blog carnivals, which we ran as a regular weekly feature for the five years from 2006 through 2010.
The link below will take you to the running index containing our most recent back issues (you can easily navigate the index to find older editions.)
OMM's Most Recent Editions - with links to our older editions!
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ZunZun - Exceptional regression analysis tool.
Wolfram Integrator - Solve integrals. Do calculus!
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Many Eyes - Data visualization extraordinaire!
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