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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.

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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.
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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.
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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.
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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.
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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.
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When the Left Tail Fattened — March 2020

Risk-Neutral Density · Intermediate

Free to read

When the Left Tail Fattened — March 2020

An illustrative look at how the risk-neutral density signals a crash-fear regime — and why the shape tells you something implied vol alone cannot.

Illustrative case studyRegime: crash-fearPattern: left-tail inflationReading time: 5 min

The spring of 2020 is the modern reference case for rapid, extreme repricing of risk-neutral densities. In a matter of days, what had been a roughly symmetric distribution with a modest negative skew transformed into one of the heaviest left tails on record — and the density made that transformation visible before the full severity of realized moves clarified it.

This case study is illustrative. It describes the qualitative shape changes that occur in crash-fear regimes; specific figures are not cited as precise historical readings.

The baseline shape — calm markets

In a low-volatility environment, the risk-neutral density for a broad equity index is modestly negatively skewed: the left tail is somewhat heavier than the right, reflecting the normal crash premium investors always pay. The mode sits slightly below the forward — the most probable single outcome is a small gain — while the left wing tapers slowly and the right wing tapers more quickly. Seen on the tool, this is a slightly asymmetric bell with a recognizable lean to the left, but nothing alarming.

Calm regime vs crash-fear regime — illustrative density shift strike (left = lower prices) → probability density calm (symmetric-ish) crash-fear (fat left tail) right tail compresses forward

Illustrative density shift in a crash-fear regime. The calm baseline (dashed) shows modest negative skew. The crash-fear density (solid red) shows dramatically more probability mass in the left tail and a compressed right tail — the market is pricing sharp downside as far more likely, and sharp upside as less likely, than it was days earlier.

The shift — left-tail inflation

As a crash-fear regime develops rapidly, the risk-neutral density changes in a characteristic way. The left tail — strikes well below spot — inflates sharply. In the March 2020 type of event, put-option demand from hedgers bidding for protection drives the implied-vol smile to steepen dramatically at low strikes. The Breeden–Litzenberger pipeline translates that steepened left wing directly into probability mass: the density assigns materially more probability to large downside outcomes. The right tail typically compresses at the same time: call options are not in demand, so the right wing of the smile is relatively flat, and the density's right side thins. The curve becomes lopsided in a way that a single implied-vol number — even a sharp one — cannot convey.

What the density revealed

Several things are visible in the density that a scalar implied-vol reading obscures. First, the shift in the mode: as crash fear accelerates, the peak of the density moves left — the most probable single outcome moves toward or below spot, reflecting genuine fear of a down close. Second, the right-tail compression: the market is simultaneously pricing out a rally. Third, the total left-tail area: using the CDF view, you can read the implied probability of finishing below any particular price level — and watch that number double or triple in days during an acute fear episode. None of that is in a single vol number.

The lesson

In a crash-fear regime, the density is not just a higher implied vol — it is a reshaped distribution with a categorically different left tail. Reading the shape, not just the level, is the point of the tool.

Do it live

This case study is free. To watch the density reshape in real time on your names: ETFs with ETF Analytics, single stocks with ETF + Equities, historical density snapshots with Everything.

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Educational content from Nations Indexes. This case study is illustrative — qualitative descriptions of crash-regime density shifts, not precise historical readings or price charts. Nothing here is investment advice.