Does the perpetual futures funding rate provide predictive insight into the future stock performance of recent IPOs compared to traditional short interest rates?
Not from the file in front of us. We have outcomes (post‑IPO equity returns), but we do not have issuer‑level perpetual funding rates or issuer‑level shorting/borrow metrics captured at consistent timestamps. Without those predictor series aligned to a window like day 1–30 post‑IPO, we can’t test whether either variable forecasts forward returns, or whether one dominates the other.
What we can do is anchor expectations with the cohort’s base rates. Any “predictive” signal, whether it comes from perps or borrow, has to overcome a very weak long-only backdrop in this universe.
Cohort baseline (as-of 2026-06-30)
| Metric | Value |
|---|---|
| IPO count | 585 |
| Median return (open→current) | -72.26% |
| Win rate (open→current) | 22.39% |
| Median return (first month) | -11.11% |
| Win rate (first month) | 34.68% |
In a cohort where the median name is down -72.26% from the open, most “signals” end up being about either (a) filtering out the worst long candidates or (b) trading short-lived squeezes and reflex rallies.
Why funding rates look attractive for IPOs (and where they can mislead)
Perpetual funding is a derivatives positioning price: it reflects who is paying to hold leverage at that moment. That can be useful for detecting crowded positioning and squeeze risk.
The problem is that many post‑IPO paths are dominated by slower, structural forces that a short-horizon positioning price may not capture well:
- Valuation and expectation reset: when growth decelerates or narratives fade, multiples compress.
- Supply and liquidity effects: incremental float and shifting holder mix can pressure prices for long stretches.
Those dynamics are consistent with the cohort-level outcomes above: the distribution is skewed toward long-run drawdowns, so a clean “sentiment mispricing” story will often be the exception, not the rule.
Which is more likely to help in practice: funding or short interest?
We can’t pick a winner empirically without the missing time series. Conceptually:
- Traditional short interest / borrow tends to reflect hard constraints (locate scarcity, borrow tightness). That can matter when float is limited, but reporting and updates can be intermittent.
- Perp funding updates continuously and can react quickly to positioning shifts, but it can be noisy and can reflect hedging flow rather than directional conviction, especially in thinner perp markets.
Given the cohort’s negative base rates for long-only holding periods, the more realistic use for both metrics is typically:
- risk control (avoid the most crowded longs / most fragile setups), and
- squeeze identification (stocks that can rally sharply even without fundamental improvement).
What we need to answer this rigorously
A workable test requires:
- Security-level time series for each IPO: perp funding (level and change) and borrow/short interest measures (level and change).
- A defined horizon (next‑day, next‑week, next‑month) and a defined observation window (e.g., first 30 trading days post‑IPO).
- Basic controls for mechanical drivers (at least size/float proxy, sector, and time/regime effects).
Until those inputs are present, claims that funding “predicts better” than short interest are not testable with this dataset.
References
[1] https://www.newconstructs.com/ipo-report-niche-product-massive-valuation/