VVIX (Vol of Vol) Forecast 2026
Quantitative analysis from 1 observations of VVIX (Vol of Vol) history, joined to four universal macro regime classifications. Numbers are computed, not narrated.
Performance by Window[02]
| WINDOW | N | ANN RET | ANN VOL | RET/VOL | HIT % | TOTAL |
|---|---|---|---|---|---|---|
| 1Y | 1 | n/a | n/a | n/a | n/a | n/a |
| 3Y | 1 | n/a | n/a | n/a | n/a | n/a |
| 5Y | 1 | n/a | n/a | n/a | n/a | n/a |
| 10Y | 1 | n/a | n/a | n/a | n/a | n/a |
| All | 1 | n/a | n/a | n/a | n/a | n/a |
Annualized total return = (1 + total)^(1/years) - 1. Ret/Vol is the annualized return divided by annualized volatility (Sharpe-equivalent without risk-free subtraction). Hit % = pct of single periods that were positive.
Where We Are Now[03]
N = 1 OBS · GENERATED 2026-05-02 14:00Z
Forecast Approach
regime implied: The current macro regime classification (Goldilocks, Reflation, Stagflation, or Deflation) dictates the expected direction and magnitude of movement, calibrated against historical regime performance.
Key Drivers & Risks
- •Market stress
- •Options positioning
- •Leverage
- •Event risk
- •Correlation
Historical Volatility
Mean-reverting but with explosive tail events
Scenarios That Affect This Forecast
How VVIX Forecasts Have Held Up Historically
VVIX (the vol-of-vol index) forecasts are notoriously unreliable as point predictions because VVIX is a function of options-on-VIX prices that themselves react to events. The 2018 February volmageddon (VVIX to 180+), 2020 March COVID spike (VVIX to 200+), and August 5, 2024 yen-carry-unwind (VVIX intraday 215, all-time high) were all missed.
Regime-conditional models on VVIX achieve approximately 65% directional accuracy on the regime label (low-vol-of-vol vs high-vol-of-vol) but materially worse on the level. VVIX is itself a regime variable, so the classifier reads back rather than predicts.
Regime Sensitivity for VVIX
VVIX is the vol-of-vol regime variable. Sub-90 anchors complacent regimes; 90-100 normal; 100-130 elevated tail-risk pricing; above 130 signals crisis-pricing in VIX options.
The April 2026 setup has VVIX elevated relative to spot VIX, signaling that traders are pricing tail-risk hedges aggressively even though realized SPY vol is contained (VIX 17.83). This is a "calm-VIX-but-nervous-VVIX" regime that historically has either resolved to a vol-spike (2018 January-to-February pattern) or to VVIX mean-reverting lower as the tail event fails to materialize.
What Drives VVIX Forecast Errors
Two structural issues drive VVIX forecast errors. First, VVIX is convex to actual VIX moves. A VIX spike from 15 to 30 takes VVIX from 90 to 130+; a VIX move from 20 to 16 takes VVIX from 100 to 88. The convexity isn't captured in linear regime models.
Second, the term structure of vol-of-vol provides regime information that spot VVIX doesn't. Sustained inversion (near-term VVIX above longer-dated) signals near-term tail-risk pricing.
How to Use This Forecast in Practice
For VVIX, the cleanest single signal is the VIX-VVIX divergence. When VIX is calm (sub-20) but VVIX is elevated (above 100), traders are pricing tail-risk hedges. When both rise together, broad volatility regime is shifting.
The cleanest cross-check is the realized SPY 30-day vol versus VIX. When VIX runs above realized vol by 5+ points, the vol-risk-premium is rich; when below, vol is being supplied cheaply. VVIX adds the second-derivative information. The 68% band on VVIX should be treated as asymmetric: tighter on the downside (VVIX floors near 80 in normal regimes) and wider on the upside (VVIX can spike to 200+ in genuine crisis).
Frequently Asked Questions
What factors could push VVIX (Vol of Vol) higher?▾
The primary drivers that tend to lift VVIX (Vol of Vol) depend on the current macro regime. Volatility is the market's price of uncertainty. The VIX measures 30-day implied equity volatility, the MOVE does the same for Treasuries, and SKEW captures demand for tail-risk protection. Persistent divergences between equity and bond vol often precede regime shifts, while spikes in both simultaneously signal broad deleveraging. Convex tracks these drivers live across the Volatility category and flags when multiple forces align in the same direction. See the "Key Drivers & Risks" section on this page for the current list, and check the regime dashboard for how the macro backdrop is currently tilted.
What factors could push VVIX (Vol of Vol) lower?▾
The same transmission channels that drive VVIX (Vol of Vol) higher operate in reverse when conditions flip. The risk drivers listed above map directly to scenarios that, if triggered, would pull this metric in the opposite direction. Convex aggregates these into a scenario-weighted probability distribution rather than a point forecast, so the magnitude depends on which scenarios activate.
Where does consensus see VVIX (Vol of Vol) heading?▾
Rather than publish a point target that goes stale the day after release, Convex assembles consensus from the macro regime classification, active scenario probabilities, and historical base rates. Point forecasts from banks and strategists are worth reading for context, but they typically cluster around the consensus and miss the tail events that actually move markets. The scenario-weighted approach here captures that tail risk explicitly.
What is the historical range for VVIX (Vol of Vol)?▾
Historical ranges for VVIX (Vol of Vol) vary dramatically by regime. A level that is extreme in Goldilocks can be routine in Stagflation, and vice versa. The Historical Volatility section on this page describes the typical range and regime-specific behavior. For the full multi-decade history, visit the VVIX (Vol of Vol) chart page, which includes selectable time ranges up to five years and downloadable data.
How often is the VVIX (Vol of Vol) forecast updated?▾
This forecast page recalculates whenever the underlying data or regime classification changes, typically within hours of new data releases. The scenario probabilities refresh daily as the macro state is regenerated. Specific drivers listed on this page reflect the current state of the Convex regime engine, not static historical assumptions.
Is this forecast actionable for trading?▾
Convex forecasts are informational and educational. They describe probability distributions and regime-conditional paths rather than specific entry and exit levels. Traders and portfolio managers use them alongside other inputs including position sizing rules, risk management, and their own conviction calibration. They are not investment advice.
Get forecast updates for VVIX (Vol of Vol) and related indicators.
Forecasts are model-based projections derived from current regime classification, scenario probabilities, and historical patterns. They are not investment advice. All investments involve risk.