While standard investment strategies typically aim to mirror general stock market performance, hedge fund founder Eric Jackson is pursuing far more explosive growth.
The founder of Toronto-based EMJ Capital has built his career seeking out “100-baggers” — equities with the potential to skyrocket 100 times in value relative to his initial purchase price.
According to a report by Jon Erlichman published on BNN Bloomberg’s Ticker Take, Jackson sets a minimum threshold of a 50-fold return over a five-year horizon for any new stock position, with his ultimate sight fixed on a 100-fold gain.
Jackson explained that the thrill of finding massive multi-baggers drives his investment process, attracting retail investors who are seeking life-changing wealth creation rather than modest incremental gains.
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High concentration and heavy drawdowns
To execute his strategy, Jackson maintains a highly concentrated portfolio — holding only 10 to 12 equities rather than spreading capital thinly across broad indexes.
“I’d rather have some diversification through those names,” Jackson told BNN Bloomberg, “rather than only plowing my money into one Carvana and having the rest of the portfolio in a bunch of indexes.”
But to achieve his outsized returns, Jackson admits that the portfolio has to endure severe volatility. Highlighting online auto retailer Carvana Co. (NYSE: CVNA) as an example, Jackson pointed out that the stock suffered five or six drops ranging between 30% and 40%, along with a single plunge of 62%.
“You feel really stupid,” Jackson remarked regarding watching unrealized wealth evaporate during pullbacks, adding that significant drawdowns are simply the necessary price of entry for outsized long-term upside.
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The screening mechanism and pattern recognition
Jackson uses artificial intelligence (AI) tools to scan the broader market for potential investment targets, likening AI screening to a watering hole where key investment ideas naturally gather. However, he emphasizes that algorithmic filters only serve as an initial starting point, with final decisions hinging entirely on human judgment and corporate pattern recognition.
