by Patrick Burns.
Abstract: A recent Barron’s article examined the efficacy of stock recommendations on the television show Mad Money. Statistical analyses of stock recommendations are scrutinized here in detail, and a powerful analysis using random portfolios is suggested. Differences between simple returns and log returns are discussed, as is the usefulness of the statistical bootstrap. The cost to individuals of trading stocks can easily overwhelm even quite good recommendations.
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 [...]