Retail Investor Portfolios Are Beginning to Look More Like Parlays than Strategies
Spend enough time in online investing circles, and you will encounter portfolios that read less like well-researched investment themes and more like multi-game parlays. Individual investors are layering 2x levered single-stock ETFs tied to Korean memory chip manufacturers on top of 3x levered semiconductor index funds that are all housed within the same brokerage account, often purchased on margin.
And to be fair, for a time, it works. Momentum has a way of validating behavior that would otherwise seem reckless. But what seasoned investors know is that these types of flashy trades have a way of working, right up until the moment they don’t. The same leverage and concentration that amplify gains on the way up tend to accelerate losses just as quickly when sentiment shifts. And by the time that shift becomes obvious, it’s usually too late for the investors who jumped in last.
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We have already begun to see early signs of how quickly this can unravel. The recent blowup at hedge fund Situational Awareness is a masterclass in this phenomenon. A strategy built on highly leveraged, concentrated positions ultimately required the forced liquidation of a significant portion of the Fund to meet margin obligations.
What makes this example especially prescient is that Situational Awareness had grown to manage more than $20 billion in less than two years, including leveraged bets on AI infrastructure, memory-chip manufacturers, energy providers, and other technology suppliers. What initially appeared to be a high-conviction approach was, in reality, dependent on continued momentum to remain intact.
By design, leverage compresses time and pulls forward both gains and losses. And when paired with crowded trades, it creates a feedback loop where rising prices attract more capital, driving prices higher yet again.
The market is now assigning higher multiples of the AI ecosystem to the suppliers than to the companies actually building and selling the technology themselves. Energy and industrial firms such as GE Vernova and Caterpillar are trading at approximately 32x and 60x next year’s earnings, respectively. Meanwhile, Nvidia—which has arguably been both the largest beneficiary and proponent of the entire AI boom—is trading closer to 21x next year’s earnings, roughly in line with the S&P 500 index.
That inversion should give investors pause. In fact, the real irony is that the very trades attracting the most attention tend to be the ones furthest along in their lifecycle. For individual investors, the challenge is not simply identifying these dynamics. Rather, it’s resisting the urge to participate in them at the wrong moment.
We’ve reached a point where the pursuit of incremental outperformance has begun to resemble a sliding scale where marginal gains are shrinking, but the risk and effort required to achieve them continues to climb. And as is often the case in investing, the more moving parts you introduce into a strategy, the more opportunities you create for something to go wrong.
Nowhere has this been more evident than in the recent unwind of momentum trades, particularly in semiconductors. Throughout the month of July, one of the market’s most crowded trades began to falter. Stocks that had been treated as “can’t-miss trades” benefiting from the AI boom suddenly reminded investors that narratives can change quickly.
For those holding broad exposure to stocks across the board, the volatility has been perfectly manageable. But for investors running leveraged bets on top of already concentrated themes, the drawdowns have been far more pronounced.
This is where the concept of Return on Effort becomes unavoidable. While some investors are busy constructing increasingly elaborate portfolios in an attempt to squeeze out every last drop of outperformance, the reality is that many of these strategies, if successful, only marginally improve outcomes. And if unsuccessful, they can set an investor back years.
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Malcolm Ethridge is the Managing Partner at Capital Area Planning Group, based in Washington, D.C. His areas of expertise include retirement planning, investment portfolio development, tax planning, insurance, equity compensation and other executive benefits.
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