We joined CNBC’s Squawk Box on Thursday, February 20 to discuss Earnings Distortion and the flaws in traditional earnings measures such as EBITDA.

Professors from Harvard Business School and MIT Sloan empirically demonstrate that our Earnings Distortion Scores help you better:

  1. Pick stocks (Section 4.3)
  2. Estimate earnings (Section 3.4)

This article originally published on February 20, 2020.  

Disclosure: David Trainer and Kyle Guske II receive no compensation to write about any specific stock, sector, style, or theme.

Follow us on Twitter, Facebook, LinkedIn, and StockTwits for real-time alerts on all our research.

Click here to download a PDF of this report.

Leave a Reply

Your email address will not be published.