by Patrick Burns.

Abstract: The quality of stock market predictions based on the winner of the Super Bowl is examined using permutation tests. These tests are very easy to perform in modern computing environments like the R language. One key point that comes to light is that the success rate of a prediction is not a good measure of its usefulness. Statistically significant success in prediction does not automatically lead to economically profitable strategies.

This version: 2004 January 02 (pdf)

Associated software is in the BurStMisc R package and updated data is available via ”The US market will absolutely positively definitely go up in 2012”.

Kommentarer inaktiverade för Permuting Super Bowl Theory

See more

Explore more content and blog posts.

  • jun 25, 26

    Music and snow. Poke my eyes out Perhaps your immediate response is: ”I’d rather poke my eyes out with a burning stick than do data analysis.” There’s a completely different [...]

  • jun 25, 26

    Move your data analysis to a computing environment specifically designed for it. Why R and not spreadsheets? Here are three reasons: complexity graphics money Spreadsheets are easily overwhelmed.  Very complex [...]

  • jun 25, 26

    The steps taken to fix an R problem. Task To prepare for the Portfolio Probe blog post called ”Implied alpha and minimum variance”, I tried to update a matrix of [...]