Our uniquely rigorous research[1] earned us the following ranks per SumZero rankings for November 2021:
- #1 in Long
- #1 in Value
- #1 in Small Cap
- #1 in Consumer Discretionary
- #2 in Large Cap
- #5 in North America
- #7 All Time
- #8 in Healthcare
SumZero is a highly exclusive buy-side only community with over 16,000 pre-screened professional portfolio managers that compete for these rankings. See our rankings for last month and other stock-picking accolades.
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Figure 1: Performance of Select Long Ideas on SumZero – Through 11/4/21
| Company | Ticker | Publish or Close Date | Outperformance as a Long Vs. S&P 500 |
| GameStop | GME | 1/28/21 | 1095%* |
| Williams-Sonoma | WSM | 9/14/16 | 205% |
| Simon Property Group | SPG | 4/20/20 | 142% |
| HCA Healthcare | HCA | 6/22/20 | 102% |
| MasTec Inc. | MTZ | 6/10/20 | 67% |
Sources: New Constructs, LLC
Performance represents price performance and is not adjusted for dividends.
*Performance measured through date position was closed
Figure 2: Performance of Select Danger Zone Picks on SumZero – Through 11/4/21
| Company | Ticker | Publish or Close Date | Outperformance as a Short Vs. S&P 500 |
| TrueCar, Inc. | TRUE | 6/10/19 | 85%* |
| Hertz Global Holdings | HTZ | 4/3/20 | 66%* |
| Beyond Meat | BYND | 9/2/20 | 52% |
| Peloton Interactive | PTON | 9/21/20 | 52% |
| Koss Corp | KOSS | 5/3/21 | 24% |
Sources: New Constructs, LLC
Performance represents price performance and is not adjusted for dividends.
*Performance measured through date position was closed
This article originally published on November 5, 2021.
Disclosure: David Trainer owns SPG and HCA. David Trainer, Kyle Guske II, and Matt Shuler receive no compensation to write about any specific stock, style, or theme.
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[1] Our reports utilize our Core Earnings, a more reliable measure of profits, as demonstrated in Core Earnings: New Data & Evidence, a paper by professors at Harvard Business School (HBS) & MIT Sloan. Recently published by the Journal of Financial Economics, the paper reveals significant inaccuracies, omissions, and biases in legacy fundamental datasets while proving the superiority of our fundamental data.