The VIX Paradox
Why Market Anxiety Does Not Always Register in the Volatility Index
In June 2026, the Cboe Volatility Index, known on every trading desk as the VIX, sat near 16. The S&P 500 had recovered from the March sell-off, the Iran conflict had not escalated into a broader regional war, and the index was grinding higher on a slow and steady path. But under the surface, individual stocks were swinging wildly. Cboe’s VIXEQ Index, which aggregates volatility measures for each S&P 500 company and weights them by market capitalization, stood near 45 percent, close to a one-year high. The spread between VIXEQ and the VIX hit a record 29 points, the widest since the exchange began publishing the data in January 2023.
This is the central paradox of the modern volatility market: the VIX appears dislocated from the risk that market participants actually feel. The question is whether the index is broken, or whether the nature of equity market risk has fundamentally changed.
The VIX Measures What It Measures
The VIX was never designed as a fear gauge in the psychological sense. The index estimates the fair price of a one-month variance swap on the S&P 500, calculated from a weighted basket of out-of-the-money puts and calls on the index with between 23 and 37 days to expiry. As the Cboe itself states, VIX is an instantaneous measure of how much the market thinks the S&P 500 Index will fluctuate in the 30-day forward period. The word “fear” never appears in the underlying methodology.
That distinction matters because the popular understanding of VIX as a fear barometer creates an expectation gap. When markets sell off sharply and VIX does not respond the way it did in 2008, 2011, or 2020, observers conclude the index is broken. A July 2024 research paper from T. Rowe Price argued the opposite: VIX is not broken, but its character has changed, reflecting recent trends in how options are used. It is “less fear and more cheer” than it used to be, the paper concluded.
Dispersion, Not Complacency
The single most important structural factor suppressing the VIX in 2025 and 2026 is historically low correlation among S&P 500 constituents. When Apple, Nvidia, Amazon, and Meta each swing 3 to 5 percent in different directions while the index barely moves, dispersion is high and the parts are volatile but the whole is calm. Index-level volatility is suppressed by diversification itself.
Mandy Xu, head of derivatives market intelligence at Cboe, described the dynamic plainly in a June 2026 research note: “What stands out in the current market is just how calm things are at the index level even as single stock volatility remains near a one-year high. Stock dispersion is extremely elevated and correlation levels have fallen to historic lows as traders switch focus from macro risks to stock-specific catalysts such as AI and earnings.”
An earlier February 2025 analysis from Henry Schwartz at Cboe made the same point in more general terms. Higher dispersion leads to lower index volatility, he wrote, because component moves cancel each other out at the index level. The Cboe DSPX Index, a measure of implied dispersion, showed traders expected that condition to persist.
A CNBC Options Action report from late May 2026 quantified the phenomenon. The VanEck Semiconductor ETF carried implied volatility near 50 percent, more than three times the S&P 500 level. Individual tech stocks such as Micron showed implied volatility of 101 percent. Gross premiums traded across semiconductor options, tracked by Citadel Securities, hit 25 percent above the prior record from March 2024 and five times the historical monthly average. The semiconductor sector alone was generating more options activity than many entire markets.
The Great 0DTE Debate
When the VIX first began trading at persistently low levels despite visible macro risks, the leading theory among market commentators was that zero-days-to-expiry options had broken it. The argument was intuitive: 0DTE options had surged from 5 percent of SPX options volume in 2016 to over 50 percent by August 2023, and if trading activity had migrated from one-month options to same-day contracts, the reduced demand for the options used in the VIX calculation would mechanically lower the index.
The Bank for International Settlements addressed this question directly in a March 2024 Quarterly Review article by economists Karamfil Todorov and Grigory Vilkov. Their analysis found that the 0DTE surge was unlikely to be the main explanation. Even as 0DTE volume soared, one-month options were still used disproportionately more for gaining actual exposure to the index itself. More fundamentally, 0DTE trading does not directly affect the pricing of one-month options and thus the VIX, because they are entirely different maturities.
Independent analysis from Interactive Brokers reached the same conclusion. The VIX is calculated using only Friday-expiring SPX options with more than 23 and less than 37 days to expiration. The shortest options used in the calculation have over three weeks until expiry. The IBKR analyst, a former options market maker with 20 years of experience, argued that 0DTE options have only very limited bearing on the VIX calculation.
But this does not mean 0DTE growth has zero impact. The T. Rowe Price paper made the case that the availability of daily expirations may have shifted some hedging demand away from one-month OTM puts, which contribute the most to VIX pricing, toward shorter-dated contracts. This secondary effect is real but modest relative to the other structural forces at work.
Structured Products and the Supply of Volatility
The BIS analysis pointed to a different mechanism entirely: the explosive growth of yield-enhancing structured products. Banks sell these products to retail investors, offering above-market yields in exchange for selling options. In a covered call structure, the investor buys the S&P 500 index and sells a one-month call option. The bank, acting as dealer, effectively buys that option from the client.
To hedge the resulting exposure, dealers engage in dynamic hedging. They must buy when the index falls and sell when it rises, acting as a contrarian force that dampens price movements. As realized volatility declines, the cost of options also declines, and the VIX falls with it. The BIS authors noted that the rise of yield-enhancing structured products over the prior two years had tracked the VIX drop closely, suggesting this mechanism was a primary driver.
The T. Rowe Price paper identified a related but distinct channel: call-overwriting ETFs. Assets in these funds had quadrupled over two years by mid-2024. These ETFs hold long equity positions and sell OTM calls with approximately one month to expiry. This increases the supply of OTM calls, reducing their price and therefore the VIX. The market makers who buy those calls then delta-hedge by selling the underlying when prices rise and buying when they fall, adding to the contrarian flow that damps realized volatility.
Who Is Buying, Who Is Selling
The demand side of the options market tells a story about what kind of risk investors are actually taking. Cboe data from early June 2026 showed that demand for single-stock optionality was concentrated heavily in calls. The equity put-call ratio had fallen to levels not seen outside the 2021 meme stock frenzy and the late 1990s technology bubble. A record 35 percent of stocks in the S&P top 100 were trading with inverted three-month call skew, meaning calls were more expensive than puts, a pattern most concentrated in technology and energy.
At the retail level, bullish trades made up almost two-thirds of all opening options activity in mega-cap tech stocks. Ahead of the anticipated SPCX initial public offering, retail optimism in technology reached near-record levels. This enthusiasm inflates options prices on the call side of the VIX calculation, but the net effect on the index calculation is complicated by the weighting of OTM puts versus calls in the VIX formula.
On the index side, the story was different. Put-selling was the most popular trade on SPY, a bet that generally prefers the VIX to continue dropping. The combination of retail demand for single-stock calls and institutional put-selling on the index creates a market where risk is being taken in the tails of individual stocks while being suppressed at the index level.
Past Parallels and Institutional Memory
The VIX has gone through periods of perceived dysfunction before. In 2017, Goldman Sachs derivatives strategists Rocky Fishman and John Marshall published a widely circulated note arguing that the VIX was “off.” The index was in the 13s, they wrote, while economic data were consistent with a VIX over 15 and its normal relationship with realized volatility would put it above 18. That year ended with the VIX remaining low, and when February 2018 brought the Volmageddon event that wiped out the XIV exchange-traded note, the VIX spiked 100 percent in a single session.
The BIS analysis explicitly examined whether short VIX ETFs were again suppressing the index. Their finding: unlike the 2017 to 2018 period, net demand for VIX futures from VIX ETFs had been positive in recent years, inconsistent with downward pressure from ETF-driven futures sales.
In 2022, VIX again failed to reach the levels of early 2022 during the second half of the year’s bear market. The Interactive Brokers analyst argued this was because investors had already lowered their risk profiles by raising cash or moving to defensive names, reducing their need to buy expensive VIX protection. The mechanism was different from 2024 to 2026, but the question about VIX reliability recurs with each cycle.
The Correlation Breakdown
One of the more puzzling aspects of the current volatility regime is the breakdown of the traditional relationship between equity and bond volatility. The MOVE Index, which measures Treasury market implied volatility, has historically shown a moderate positive correlation with the VIX. But the IBKR analysis noted that the R-squared between the two had fallen below 0.50 for most of the prior year, meaning less than half the variation in one could be explained by the other.
Cboe data from June 2026 revealed just how far the equity-bond relationship had shifted. The one-month rolling correlation between the S&P 500 Index and the 10-year Treasury yield stood at negative 87 percent, the lowest on record in data going back to 1962. When stocks and bonds move in opposite directions at such extremes, equity volatility is relatively insulated from the bond market turmoil that had characterized much of the post-2022 period.
A New York Fed Liberty Street Economics post from February 2021 examined equity volatility term premia through the lens of variance swaps and VIX futures. The analysis, covering data from 1996 to mid-2020, found that selling one-month variance swaps had historically earned a large and significant average return, reflecting the structural volatility risk premium that the VIX embodies. That premium is not a constant; it expands and contracts with market conditions, and the current regime represents a period of extreme compression.
Final Thoughts
The extent to which the VIX is simply reflecting a correct assessment of low index-level risk versus being artificially suppressed by mechanical factors remains an open question. If the former is correct, the VIX is not broken, but the risk that investors perceive in individual stocks is. If the latter is correct, the VIX could snap back violently if the structural factors reverse, as they did in February 2018.
What is clear from the data is that the VIX continues to do what its methodology was designed to do: measure the expected 30-day volatility of the S&P 500 through the prices of a specific basket of near-month index options.
The risk that investors perceive but do not see reflected in the VIX is concentrated in individual stocks, in sector-specific options, and in tail events that the market has learned to hedge through newer instruments. The index is not lying. It is measuring something narrower than the popular term “fear gauge” implies, and the gap between what it measures and what market participants feel has never been wider.



Great article