Concept
Volatility of Volatility
Volatility of Volatility is a Volatility concept. The Library holds 1 implementations, each one a working definition you can pull into Quant.
Top Volatility of Volatility indicators
1 total
What is Volatility of Volatility?
Volatility of volatility (vol-of-vol) is second-order volatility: a measure of how unstable the volatility series itself is. Compute a volatility measure first, such as realized volatility, ATR, or an implied index, then apply a dispersion calculation to that series rather than to price. Two markets can carry the same average volatility while one holds it steadily and the other lurches between calm and panic; vol-of-vol is the number that separates them.
Options markets list the idea directly: VVIX measures the expected volatility of the VIX itself. High vol-of-vol means volatility estimates go stale quickly, which undermines anything calibrated to a trailing window: stop distances, position sizes, and band widths all inherit the instability.
How traders use it
- As a stability check on risk inputs: rising vol-of-vol warns that volatility-targeted sizing and volatility-scaled stops are calibrated to a number that keeps moving.
- As regime context: spikes in vol-of-vol often accompany transitions between calm and stressed conditions, so some regime models track it alongside the volatility level itself.
- In options analysis: VVIX elevated relative to VIX flags expensive volatility convexity, which some traders read as hedging demand.
Related concepts · Volatility estimators
Concept family
Volatility
56 concepts mapped · 43 in the Library
Volatility of Volatility FAQ
How do you measure volatility of volatility?
Build a volatility series first, such as rolling realized volatility, ATR, or an implied-volatility index, then measure that series' own variability, typically as a rolling standard deviation of its changes or log changes. For index options there is a listed version: VVIX, which applies the VIX methodology to options on the VIX itself.
Why does volatility of volatility matter for traders?
Because most risk plumbing assumes the current volatility estimate stays representative: ATR stops, volatility-targeted position sizes, and band widths are all trailing calibrations. When vol-of-vol is high that assumption fails, and the number you sized with can be badly wrong within days. Stable-volatility regimes forgive imprecise inputs; unstable ones punish them.
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