VIX Index
CBOE Volatility Index, the "fear gauge" measuring S&P 500 expected volatility.
Current Reading
Normal volatility, typical risk-on environment
About VIX Index
What Is the VIX?
The CBOE Volatility Index (VIX) measures the market's expectation for 30-day volatility in the S&P 500, derived from the prices of S&P 500 index options across a wide range of strike prices. It is expressed as an annualized percentage, a VIX of 20 implies the market expects S&P 500 moves of roughly ±1.25% per day (20 ÷ √252 trading days).
Created in 1993 by the CBOE (now Cboe Global Markets), the VIX has become the single most watched indicator of market fear and risk appetite globally. It is referenced in Fed meeting minutes, Treasury Department reports, and is the basis for a multi-billion dollar ecosystem of volatility derivatives, ETFs, and trading strategies.
VIX Level Interpretation Guide
| VIX Level | Market Regime | Historical Context | Implication |
|---|---|---|---|
| 9-12 | Extreme complacency | 2017 (avg VIX: 11); Jan 2018, Jan 2020 | Calm before the storm, low VIX often precedes spikes |
| 12-15 | Low volatility bull | 2013-2014, mid-2019, late 2023 | Healthy trending market; option sellers dominant |
| 15-20 | Normal conditions | Long-run average is ~19.5 | Standard market environment |
| 20-25 | Elevated uncertainty | Early 2022, earnings seasons, FOMC weeks | Caution; hedging demand rising |
| 25-30 | Significant stress | 2022 hiking cycle, trade wars 2018-2019 | Risk management critical; reduce position sizes |
| 30-40 | Market crisis | Euro crisis 2011, China deval 2015, Q4 2018 | Peak fear; contrarian opportunities emerging |
| 40-50 | Severe crisis | Early GFC (Sep 2008), Aug 2024 carry unwind (65) | Forced selling/liquidation in progress |
| 50-85 | Generational panic | GFC peak (80.9), COVID (82.7) | Maximum fear; historically exceptional buying opportunity |
The VIX in Major Crises
| Crisis | VIX Peak | S&P 500 Drawdown | Time to Market Bottom | 12-Month Return from VIX Peak |
|---|---|---|---|---|
| Black Monday (1987) | N/A (pre-VIX) | -22.6% (1 day) | Same day | +23% |
| Asian Crisis (1997) | 38 | -7% | Days | +33% |
| LTCM / Russia (1998) | 45 | -19% | 5 weeks | +39% |
| 9/11 (2001) | 43 | -12% (post-reopening) | 2 weeks | +15% |
| GFC (2008-2009) | 80.9 | -57% (total) | 5 months after peak VIX | +68% |
| Flash Crash (2010) | 40 | -10% | 1 day | +26% |
| Euro Crisis (2011) | 48 | -19% | 3 months | +32% |
| COVID Crash (2020) | 82.7 | -34% | 7 trading days after VIX peak | +75% |
| Aug 2024 Carry Unwind | 65 | -8% (brief) | 3 weeks | TBD |
The pattern is remarkably consistent: buying equities at VIX extremes has been one of the most reliable strategies in market history, with the critical caveat that you must size for the possibility of further drawdown before the bottom.
How the VIX Is Calculated
The VIX uses a model-free implied volatility methodology, it does not rely on Black-Scholes or any pricing model. Instead, it aggregates the market prices of SPX options across a wide strip of strike prices:
- Select all out-of-the-money (OTM) puts and calls on the S&P 500 across the two nearest expiration dates that bracket a 30-day window
- Weight each option's price by its contribution to total variance (options closer to at-the-money get more weight)
- Interpolate between the two expiration dates to produce a constant 30-day expected volatility
- Express the result as an annualized percentage
This methodology captures the entire volatility surface, not just at-the-money options, making the VIX sensitive to demand for deep OTM puts (crash protection) and calls (upside speculation).
The VIX-S&P 500 Relationship
The VIX maintains a persistent negative correlation with the S&P 500 of approximately -0.75 to -0.85. This asymmetry exists because:
- Put demand surges on declines: When stocks fall, portfolio managers rush to buy put protection, driving options prices (and VIX) higher
- Vol compression on rallies: During steady uptrends, options sellers (who earn premium from time decay) aggressively write puts, compressing implied volatility
- Leverage and margin calls: Sharp declines trigger forced selling and margin calls, creating the gap moves that VIX captures
- The "leverage effect": A falling stock price increases a company's effective leverage (debt/equity ratio), making future returns more volatile
The asymmetry is itself asymmetric: VIX rises faster on market declines than it falls on market rallies. A 5% S&P drop might spike VIX by 40-50%, but a 5% S&P rally might only reduce VIX by 15-20%. This is why VIX is called a "fear" gauge, it overweights the downside.
VIX Term Structure
| State | Condition | Interpretation | Frequency |
|---|---|---|---|
| Contango (normal) | VIX < VIX3M < VIX6M | Normal; more uncertainty over longer horizons | ~80% of the time |
| Flat | VIX ≈ VIX3M | Transition; near-term uncertainty rising | ~10% |
| Backwardation (inverted) | VIX > VIX3M | Acute crisis; near-term fear exceeds long-term | ~10%; only during crises |
Term structure inversion is a more reliable crisis signal than VIX level alone. VIX can rise to 25-30 during routine corrections without the curve inverting. When VIX exceeds VIX3M, the market is pricing in a near-term crisis that is expected to resolve, this has accompanied every major market dislocation since 2008.
VIX Trading Products and Strategies
The Product Ecosystem
| Product | Ticker | Exposure | Key Risk |
|---|---|---|---|
| VIX Futures | /VX (CBOE) | Direct VIX futures | Contango roll cost (-5-10%/month in calm markets) |
| UVXY | ProShares Ultra VIX | 1.5x leveraged short-term VIX futures | Loses ~60-80% per year in normal conditions |
| SVXY | ProShares Short VIX | -0.5x inverse VIX futures | Can lose 50%+ in a single day during VIX spike |
| VIX Options | VIX (CBOE) | Options on VIX index | European-style; cash-settled; complex pricing |
| VIXM | ProShares VIX Mid-Term | 4-7 month VIX futures | Lower decay but less responsive to spikes |
The Critical Warning About VIX ETFs
Long VIX products (UVXY, VXX) are designed to lose money over time. Because VIX term structure is usually in contango, these products must continually sell cheap near-month futures and buy expensive far-month futures. The roll cost is approximately -5% to -10% per month in calm markets. UVXY has lost over 99.99% of its value since inception (adjusted for reverse splits). These products are useful only for short-term hedging measured in days, never weeks or months.
Volmageddon (February 5, 2018)
The most dramatic VIX product failure in history. VIX doubled from 17 to 37 in a single afternoon. The inverse VIX product XIV (which profited from contango decay) lost 96% of its value in one day and was subsequently liquidated by its issuer (Credit Suisse). Approximately $2 billion in investor capital was destroyed. The event demonstrated that short volatility strategies, while profitable 90% of the time, carry catastrophic tail risk.
VIX as a Cross-Asset Signal
The VIX doesn't just affect equities, it reverberates across all asset classes:
| VIX Regime | Equities | Credit | Currencies | Crypto | Commodities |
|---|---|---|---|---|---|
| VIX < 15 | Risk-on rally | Spreads tighten | Carry trades flourish | BTC follows risk appetite | Demand-driven |
| VIX 15-25 | Selective; rotation | Stable | Normal FX vol | Moderate correlation to equities | Mixed |
| VIX 25-35 | Defensive rotation | Spreads widen | JPY and CHF strengthen | Sells off with risk assets | Gold rallies |
| VIX > 35 | Panic selling | HY spreads blow out | Dollar spikes (funding demand) | Crashes hard (high-beta risk) | Gold up; oil depends on cause |
What to Watch
- VIX level vs its 20-day moving average: VIX 50%+ above its 20-day MA signals panic; 30%+ below signals complacency that often precedes shocks
- Term structure slope: Inversion (VIX > VIX3M) is the single best "crisis in progress" confirmation signal
- VIX of VIX (VVIX): Measures volatility of VIX itself, extreme VVIX readings signal that even the volatility market is uncertain, indicating structural instability
- Correlation with credit: When VIX and HY spreads diverge (one rising while the other is calm), the lagging indicator usually catches up
- Put/call skew: The difference between OTM put and call implied volatility. Extreme skew toward puts = maximum hedging demand = contrarian buy signal
Recent Data
| Date | Value | Change |
|---|---|---|
| Apr 13, 2026 | 19.12 | -0.57% |
| Apr 10, 2026 | 19.23 | -1.33% |
| Apr 9, 2026 | 19.49 | -7.37% |
| Apr 8, 2026 | 21.04 | -18.39% |
| Apr 7, 2026 | 25.78 | +6.66% |
| Apr 6, 2026 | 24.17 | +1.26% |
| Apr 2, 2026 | 23.87 | -2.73% |
| Apr 1, 2026 | 24.54 | -2.81% |
| Mar 31, 2026 | 25.25 | -17.51% |
| Mar 30, 2026 | 30.61 | — |
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Data sourced from FRED, CoinGecko, CBOE, CFTC, and EIA. Updated daily. This page is for informational purposes only and does not constitute financial advice.