Hendrik Bessembinder examines whether observable firm characteristics can predict which stocks will deliver extreme long-term outcomes, using U.S. data from 1960–2019. While certain traits show statistical links, over 98% of outcome variation remains unexplained, challenging the idea that investors can systematically identify future outliers.
Extreme Stock Market Performers, Part IV: Can Observable Characteristics Forecast Outcomes?
Arizona State
Hendrik Bessembinder
Research
20 Pages
Key Takeaways
Extreme Wealth Concentration: Just 83 firms (0.32%) generated 50% of $47 trillion in excess shareholder wealth, while 5 firms (0.02%) alone contributed 11.9%.
Positive Outlier Traits: Top performers had prior-decade drawdowns near 81.16%, R&D intensity of 4.76%, and were statistically younger, signaling risk and reinvestment as common features.
Negative Outcome Signals: Bottom performers showed leverage of 57.6%, return volatility of 23.78%, and income-to-asset ratios near -10.12%, pointing to fragile balance sheets and unstable earnings.
Join our newsletter to have all of this content + Exclusive Newsletter Bonus Content delivered to your inbox every week
