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The use of leverage in public markets means financial distress, like margin calls, forces an immediate collapse. In contrast, venture-backed startups lack this leverage, allowing them to burn down equity slowly over years by cutting costs, creating a much longer and less correlated unwinding process.
Before the market crash, key indicators showed hedge funds' gross exposure (the total value of long and short positions) was at historic highs. This extreme leverage meant that any catalyst forcing de-risking would inevitably trigger a large, cascading deleveraging event, regardless of the initial narrative.
Private equity and venture capital funds create an illusion of stability by avoiding daily mark-to-market pricing. This "laundering of volatility" is a core reason companies stay private longer. It reveals a key, if artificial, benefit of private markets that new technologies like tokenization could disrupt.
The fundamental risk profile shifts dramatically between venture stages. Early-stage investors bet against business failure, an idiosyncratic risk unique to each company. Late-stage investors are primarily betting on public market multiples and macro sentiment holding up—a systematic risk affecting all late-stage assets simultaneously.
A hedge fund's focus on yearly performance incentivizes betting on short-term catalysts, like clinical data events. In contrast, a venture capital fund's typical 10-year lockup period allows it to ignore market cycles and underwrite the best science for a long-term outcome.
The venture capital industry was transformed by two parallel forces post-financial crisis. Crossover funds brought a hedge fund-style intensity and speed, while founder-led firms like a16z brought an entrepreneurial metabolism. This dual injection of urgency permanently changed the pace and nature of venture investing.
Hedge funds often fail when they deviate from public markets and begin making illiquid private investments like venture capitalists. This historical pattern, stretching back 50 years, shows that very few managers can successfully operate in both domains, often leading to liquidity crises.
Despite the focus on LTCM being 'too big' or 'too leveraged' in 1998, the capital deployed in similar relative-value strategies today is 10 to 100 times larger, suggesting the industry has amplified, not learned from, the systemic risks of scale and leverage.
Success in late-stage venture resembles trading more than traditional investing—it's about buying and selling on momentum. However, this "new public market" has a critical flaw: while liquidity exists on the way up, it vanishes on the downside, making it impossible to execute a true trading strategy when a correction occurs.
Unlike the 2008 financial crisis, which was a debt-fueled credit unwind, the current AI boom is largely funded by equity and corporate cash. Therefore, a potential correction will likely be an equity unwind, where the stock prices of major tech companies fall, impacting portfolios directly rather than triggering a systemic credit collapse.
When a highly-levered fund is known to be in distress, the market turns predatory. Competitors will short its holdings relentlessly, not just for profit, but to force a full liquidation. The collective pressure makes the fund's collapse a near-certainty with "no other ending."