I think that's actually better over the next 5 or 6 months than what it'll otherwise do if you're invested in the market.View on YouTube
Using straightforward total-return comparison for the 5–6 months after the Sept 23, 2022 podcast, broad equities clearly did better than a cash‑in‑SPAC‑trust strategy, but on a risk‑adjusted basis (which is how you’ve normalized the claim) the answer depends on subjective assumptions, so it can’t be cleanly scored.
1. What happened to the broad equity market?
- The S&P 500 closed at 3,693.23 on Sept 23, 2022 and 4,109.31 on Mar 31, 2023, a price gain of about 11.3% over roughly 6 months; by Feb 28, 2023 it was already up about 7.5% from the Sept 23 level.
- Sept 23, 2022 close: 3,693.23【1search1】
- Feb 28, 2023 close: 3,970.15【1search0】
- Mar 31, 2023 close: 4,109.31【1search3】
- Adding dividends (roughly 1–2% annually) puts the S&P 500 total return in the ~8–12% range over that 5–6 month window, depending on exact start/end dates.
2. What did “cash in a SPAC trust” offer over that window?
- Pre‑combination SPACs hold IPO proceeds in a trust invested in T‑bills or equivalents, and common shareholders can redeem for the $10 trust value plus accrued interest, making the downside similar to a short‑term Treasury plus a small equity option.【2search2】2search5】
- In October 2022 (right around the prediction date), Pender’s arbitrage commentary notes that SPACs searching for targets were trading at discounts to trust implying yield‑to‑maturity in excess of 7.1%, and they were “targeting yields in excess of 6%” from SPAC arbitrage.【2search9】
- Accelerate’s Julian Klymochko reported that through 2022 SPAC arbitrage yields roughly doubled from 2.4% to 4.3%, and by early 2023 they saw SPAC arbitrage yields ≈4.5%, with their arbitrage fund’s unlevered underlying portfolio yield around 7.1%, 75% of which was SPAC arbitrage.【2search1】
- Translating those annualized yields into a 5–6 month holding period implies a realized return on the order of ~2–4%, assuming you just sit in diversified pre‑deal SPACs and redeem/liquidate rather than take post‑merger equity risk.
3. Raw performance vs. risk‑adjusted performance
- On raw return, the S&P 500’s ~8–12% total return over the period materially exceeded the ~2–4% you’d expect from parking in SPAC trusts at 6–7% annualized yields. So if “better” meant simply “makes more money,” the prediction was wrong.
- However, Chamath’s actual wording refers to the SPAC‑trust approach as effectively a superior cash‑like alternative, and your normalized version emphasizes a “risk‑adjusted basis.” Pre‑deal SPAC trusts in late 2022 and early 2023 were widely marketed and analyzed as a low‑risk, T‑bill‑backed “fixed‑income alternative” with capital protection via redemption and modest positive carry.【2search9】2search1】
- Over the same window, equity markets were still volatile, with stress peaking around the March 2023 regional banking turmoil (e.g., Silicon Valley Bank’s collapse on March 10, 2023【4search16】 and volatility indices spiking in March 2023【4search0】). That implies a much higher standard deviation of returns for a broad‑equity position than for a portfolio of near‑par SPAC trusts.
Putting it together:
- We can measure ex‑post raw returns precisely and they favor equities, contradicting the idea that SPAC‑trust cash would simply “do better” in absolute performance.
- We do not have a single, objective standard for how Chamath intended “risk‑adjusted” (Sharpe vs. Sortino vs. drawdown‑sensitivity, investor risk aversion, which exact "market" index, which exact set of SPACs, etc.). With SPAC arbitrage offering ~6–7% annualized yields at T‑bill‑like risk and equities delivering higher but much more volatile returns, a reasonable person could argue either that:
- Equities were better (higher realized return justifies the risk), or
- SPAC trusts were better per unit of risk (higher Sharpe‑type ratio), depending on model and preferences.
Because the truth value of the claim hinges on a subjective, unspecified risk‑adjustment standard, and the data can support different conclusions depending on that standard, the prediction is best classified as ambiguous rather than clearly right or wrong.