VVIX, put/call ratios and skew

The VIX prices expected movement. Three other series from the options market describe how that expectation is distributed: how uncertain traders are about volatility itself, how much they are hedging, and how much they will pay for downside versus upside. Each is a positioning read, and each is easy to over-interpret.

VVIX: the volatility of volatility

VVIX is computed from VIX options the same way the VIX is computed from S&P options: it is the implied volatility of the VIX itself, over the next thirty days. It answers "how uncertain is the market about how uncertain it is?"

Typical range roughly 75 to 130. Readings above 130 have appeared in acute stress; readings below 80 in long calm stretches.

The most useful VVIX read is relative to the VIX. VVIX rising while the VIX is still low means someone is buying protection against a volatility spike before the spike has happened. That pattern has preceded several sharp corrections, though it has also preceded nothing at all often enough that it belongs in the "raise attention" category rather than "act".

Put/call ratios

A put/call ratio is the volume of puts traded divided by the volume of calls. The CBOE publishes several: a total ratio (all listed options), an equity-only ratio (single-stock options), and an index ratio (index options like those on the S&P 500).

equity P/C = put volume in single-stock options ÷ call volume in single-stock options

The equity-only version is the one that behaves most like a sentiment measure, because single-stock options are disproportionately traded by speculative retail and hedge-fund flow rather than institutional hedgers.

Approximate zones on the equity-only ratio, using a 10-day average to remove single-day noise:

 1.10 ┤ ▓▓▓ heavy put buying; fear. Historically near short-term lows.
 0.90 ┤ ░░░ elevated caution
 0.70 ┤ ─── neutral
 0.55 ┤ ░░░ call-heavy; optimism
 0.45 ┤ ▓▓▓ extreme call buying; complacency or mania (early 2021 printed near 0.40)

The index put/call ratio runs structurally higher (often above 1.0) because institutions hedge with index puts; a high index ratio is not fear, it is normal hedging. Do not apply equity zones to it.

How to use it. Extremes in the equity ratio are contrarian context. A 10-day average above 1.0 during a decline means the crowd has bought a lot of protection, which reduces the fuel for further panic; that condition has appeared near many swing lows. A 10-day average below 0.55 during a rally means the crowd is leaning long with leverage, which has appeared near many stretched highs. In both cases the ratio flags a crowded position; price still decides when it unwinds.

Key idea: Put/call ratios measure how the crowd is positioned, not where the market is going. Extremes mark crowded trades that need a price catalyst to unwind. Use the equity-only version, smooth it over 10 days, and treat it as contrarian context.

Structural drift

Put/call ratios have drifted lower over the last decade as retail call trading and zero-days-to-expiry options grew. A reading that was "extreme" in 2012 is neutral in some later years. As with intraday internals, calibrate to percentiles of recent data (say the last 250 sessions) rather than memorising levels. The zones above were reasonable at time of writing and will drift again.

Skew

Skew is the difference in implied volatility between out-of-the-money puts and out-of-the-money calls on the same underlying and expiry. In equity indexes puts almost always carry higher implied volatility than calls, because crashes are faster than rallies and because institutions are natural put buyers. That asymmetry is the skew.

The CBOE publishes a SKEW index derived from S&P 500 options. It is scaled so that 100 means a symmetric distribution (no skew); higher readings mean the market is pricing fatter left tails.

Skew's record as a timing tool is weak. High SKEW readings have preceded both crashes and long rallies; the honest reading is that when SKEW is high, tail hedges are expensive, and when it is low, they are cheap. That matters for how you hedge, less for when.

Where skew is more useful is in individual stocks and sectors. A sudden steepening of put skew in one name, with no news, means someone is paying up for downside protection there specifically. It is one of the few positioning signals that is stock-specific.

Reading the three together

The second row is the interesting one. A low VIX alone would say "calm". The VVIX and SKEW say tail protection is being bought aggressively. That combination does not predict a decline, but it does say that if one begins, it will not be from a position of complacency, and it says protection is expensive right now. That changes how a swing trader hedges, if at all.

Failure modes

• Trading a single day's P/C. One day is noise; option expiration days especially.
• Using the total or index ratio as sentiment. Institutional hedging dominates those series.
• Treating high SKEW as a crash forecast. It is a price of insurance, not a forecast.
• Fixed thresholds across years. All three series drift structurally. Percentiles.

Try it: Pull the equity-only put/call ratio for the last year and compute its 10-day average. Mark the five highest and five lowest readings. For each, note where the S&P 500 was relative to its 20-day high or low, and what it did over the next 10 sessions. You are checking whether extremes clustered near turns in your data, not accepting that they did.

Recap

• VVIX is the implied volatility of the VIX; rising VVIX with a low VIX means tail hedges are being bought before stress appears.
• Put/call ratios measure crowd positioning; use the equity-only version, smoothed over 10 days, as contrarian context with drifting thresholds.
• The index put/call ratio runs structurally high because of institutional hedging and is not a sentiment gauge.
• Skew measures how much more expensive puts are than calls; the SKEW index describes the price of tail protection, not the timing of tails.
• Read all three together with the VIX; the informative cases are when they disagree.