Everyone agrees the normal distribution isn’t a great statistical model for stock market returns, but no generally accepted alternative has emerged. A bottom-up simulation points to the Laplace distribution as a much better choice. A well-known problem in financial risk assessment is the failure of the normal distribution (also known as the Gaussian distribution) to correctly predict big up or down days on the stock …
In September 2013, I published a post written by Frank Roellinger on his stock market trading system—a modification of the Ned Davis system first published in the 80s. Since Frank’s work was first published here he has shifted his Russell 2000 positions 11 times, each move reported here and on my twitter account. His hypothetical portfolio value has increased from 1658 to 1936 (+16.7%)—impressive given …
Probably the most difficult thing to do in stock market investing is to identify a good time to sell. Many technical indicators have been devised to identify lows around the time they occur or soon thereafter with a moderate degree of success, but to my knowledge that has not happened for tops with comparable success. My own modified Davis method does not do a very …
Serious volatility watchers are always observing a three-ring circus. The left ring holds the general market. Center ring has options on the S&P 500 and the various CBOE VIX® style indexes and to the right are VIX futures, Volatility Exchange Traded Products like VXX, UVXY, TVIX, and XIV plus associated options. Activities in the three rings usually follow a familiar choreographed pattern. The VIX moves …
It’s been said that we learn more from failures than success. Hopefully the chart below will be an illustration of that. It displays the near real-time prices of VIX futures vs. the predictions of a “simple” model I’ve created. My intent with the model is not to achieve high accuracy (it won’t) but rather to distinguish between when VIX futures prices are truly unusual, and …
