It’s important for a fund manager that finishes any period up or down, how they generated that return. This is an attempt to do that.
An example would be a hedge fund PM starting the year with $20M AUM and finishes up 22% while the S&P rose 14%. On the surface it looks good, but what if the PM invested $2M in a very small cap firm that generated 400% return due to an acquisition by another firm. That 22% return looks watered down and actually should signal a red flag because it’s not repeatable, especially if the PM’s fund size increases
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## https://rstudio.github.io/DT/server.htmlTotal Return, Total Games Picked out of how many played, Record in games picked
Favorites, underdogs, and pick-ems
2 percent, 1.5 percent, 1, percent, etc.
All teams that have a return of +/- 2% or more on the year
All teams that have a return of +/- 2% or more on the year
I have similar data acquired for NFL line movements. I had to halt before the end of the season because I was in Texas and I legally could not scrape the lines without potential for my account to be suspended.