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
The function in question is scriptSearch. I’m not much for superlatives — ”most” and ”best” imply one dimension, but we live in a multi-dimensional world. I’m making an exception. The [...]
jun 25, 26
I recently gave a talk at the R in Finance conference in which I introduced the marketAgent package for R. Here is the source for the package if you'd like [...]
jun 25, 26
Executive summary Surprisingly good. And it’s not like my expectations were especially low. Structure There are 20 chapters. I mostly like the chapters and their order. Hadley breaks the 20 chapters [...]