- Introduction: Short Portfolios Cluttered with Bimodal Biotechs
- Why Biotech Firms are Naturally Predisposed to Appear in Kailash Short Portfolios
- Exclusion & Implications: Removing Biotechs Is a Win for SMID & SAGE
- Conclusions: Higher Returns & Lower Volatility for SMID & SAGE
- WARNING: Today’s Decision is NOT a Totem on Timing, Biotech’s Appear Ripe for Reversal
- Appendix: Large Cap Virtually Unchanged by Removal of Biotech
Summary Conclusion: Overall we find that for both the portfolio built by the bottom of the SMID rankings tool and the Kailash SAGE portfolios, removing the biotech names improves expected returns, reduces aggregate volatility, improves information ratios all while significantly reducing the odds of our partners experiencing catastrophic drawdowns. With that said, the decision to remove biotechs from the Kailash short books does NOT represent a fundamental call on the space. In fact, the Biotech names we will be excluding possess fundamental data of such poor quality one could easily imagine the names may be ripe for yet another pullback akin to the one seen post our negative report on the space on October 9, 2015.
Introduction: Short Portfolios Cluttered with Bimodal Biotechs
Over the years clients have approached us about the preponderance of biotech firms in the Kailash short portfolios. Their main issue seems to be an idea that shorting biotech firms is a difficult proposition and the tendency of the Kailash models to assign these firms poor ranks due to their frequent lack of financial metrics we tend to prioritize, such as profits and revenues, fails to take into account the unpredictable scientific factors that often drive biotech outcomes. We recognize that the bimodal outcomes associated with small biotech firms that are speculations on various breakthroughs make this issue valid; the solid historical performance of the Small & Mid Cap Short portfolios (see Figure1 below) shows that while we are sympathetic to those unwilling to short these biotechs, they should nonetheless be viewed like difficult-to-research lottery tickets with intrinsically negative payoff structures.
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October 28, 2016 |
| Authors: Matthew Malgari, Nathan Przybylo, Dr. Sanjeev Bhojraj and John Durkin
October 28, 2016
Authors: Matthew Malgari, Nathan Przybylo, Dr. Sanjeev Bhojraj and John Durkin