Our Indexes

The world's leading
independent volatility indexes.

Five precision-engineered indexes that strip away the distortions of legacy vol measures — giving you a clean, real-time read on what options are actually pricing.

📊
VolDex®
A better way to measure option volatility
VolDex® focuses on the options that matter most—at-the-money (ATM) options with near-term expirations—giving a cleaner, more accurate view of implied volatility.

By isolating these highly liquid and actively traded contracts, VolDex avoids the distortion caused by less relevant, far out-of-the-money options. The result is a more precise snapshot of market expectations for price movement and investor sentiment—without the noise.
Explore VolDex®
📈
CallDex®
A clearer signal of bullish sentiment & expected volatility
CallDex® tracks the cost of out-of-the-money call options to gauge market sentiment for the next 30 days. It uses call options that are one standard deviation out-of-the-money to measure what investors are expecting in terms of both volatility and potential price direction.

Higher CallDex values generally suggest traders are anticipating bigger moves or a possible market rally. Lower values indicate a calmer outlook or reduced interest in upside exposure.
Explore CallDex®
📉
PutDex®
Focused on downside risk pricing
PutDex® delivers a clear, strike-specific measure of implied volatility by concentrating on one key data point: the normalized cost of a 30-day, one standard deviation out-of-the-money (OTM) SPY put option.

This approach isolates the segment of the options market most directly associated with downside protection, removing the noise from less relevant strike prices. The result precisely indicates market sentiment around tail risk, hedging activity, and bearish positioning.

By zeroing in on these put options—widely used by institutional investors to protect against market declines—PutDex offers valuable insight into how much investors are willing to pay to insure against losses over the next month.
Explore PutDex®
⚖️
RiskDex®
A Clear Signal of Expected Market Direction
RiskDex® measures investor sentiment by comparing the normalized cost of 30-day, one standard deviation out-of-the-money (OTM) SPY put and call options. This simple ratio reveals whether the market is more focused on downside protection or upside opportunity — offering a direct view of expected equity direction over the next month.

Unlike traditional volatility indexes, which reflect overall price movement, RiskDex highlights directional bias. A rising RiskDex indicates OTM put prices are increasing at a faster rate than OTM call prices and suggests growing concerns about potential declines; a lower reading signals confidence or complacency.

This makes RiskDex a valuable tool for traders and risk managers seeking clarity on where the market thinks it's headed—not just how volatile it might be.
Explore RiskDex®
🦅
TailDex®
A smarter signal for downside risk & tail hedging demand
TailDex® measures the price of deep out-of-the-money put options to assess bearish sentiment and demand for tail risk protection over the next 30 days. By focusing on puts that are three standard deviations OTM, it reflects how concerned traders are about a major downside move, often called a 'tail event'.

Higher TailDex values suggest rising demand for crash protection or increased fear of large selloffs. Lower values imply a calmer market tone and less urgency to hedge against tail risk.
Explore TailDex®

How the Deconstruction Works

Event Vol Isolation · Desk

Free to read

How the Deconstruction Works

Variance additivity, an estimate for each scheduled event, and a little subtraction. The full recipe — and where the assumptions live.

Event Volatility Isolation rests on one clean principle and a few careful estimates. Here is each step.

Variance additivity

Volatilities don't add, but variances do for independent contributions over non-overlapping time. The total variance the option market prices over a window of T days is the diffusive variance over those days plus the summed variance of each scheduled event inside the window:

σ²ₜₒₜₐₗ · T = σ²₌ₐₛ₋ · T + Σₙ V₋ₙ₋ₙₜ,ₙ total variance = baseline variance + sum of event variances σₜₒₜₐₗ is the VolDex® reading at the chosen tenor

The identity that makes the deconstruction possible: total variance is the baseline plus the events.

Event variance estimation

Each scheduled event — FOMC, CPI, PCE, NFP, earnings — is assigned an expected event variance: the extra one-day variance the market prices for that catalyst. It is estimated from the size of historical (and option-implied) moves around that type of event for that underlying. The bigger and less predictable the typical move, the larger the variance chunk it contributes.

Diffusive volatility — the subtraction

With the event variances estimated, the diffusive (event-stripped) vol falls out by subtraction: take the total variance implied by VolDex®, remove the summed event variances, divide by the time in the window, and take the square root. What remains is the baseline volatility — the regime vol with the scheduled catalysts removed.

Does the tenor span the event?

An event only contributes if it falls strictly inside the option's life. The tool checks each scheduled event's date against the chosen 7- or 30-day tenor and includes only those that the tenor spans. An event one day past expiration is excluded; one just inside is counted in full. This guard is what keeps the deconstruction honest at the window's edges.

Limitations

The framework is an estimate, not a measurement. Event variances are modeled from history and implied moves, not observed directly; the additivity assumes the contributions are independent and the events are the scheduled ones it knows about; and an unscheduled shock will show up in the diffusive baseline because it isn't on the calendar. Read the deconstruction as a well-grounded attribution of implied vol, not an exact accounting.

How it maps to the Nations suite

The deconstruction's input and output are both about VolDex®. VolDex® supplies the total; the event-stripped baseline is the cleaner version of it to feed the cones (rich vs realized history) and the VRP (rich vs the move that follows). Stripping the scheduled noise makes every downstream comparison sharper.

Do it live

The method is free. Run it on ETFs with ETF Analytics, single names with ETF + Equities, and export the full deconstruction with Everything.

See plans →

Educational content from Nations Indexes. VolDex® is a registered mark of Nations Indexes. Event variances are modeled estimates; the additivity framework assumes independence and known scheduled events. Nothing here is investment advice.

×