CME Group Volatility Index (CVOL™)
The global volatility benchmark index, derived from the world’s most actively traded options on futures, across major asset classes. Available in real-time streaming and daily benchmarks.
Multi-asset class coverage
Derived from extremely liquid option contracts traded on CME Group exchanges, creating a consistent and tractable metric across different products and asset classes.
Transparent and user-friendly calculation
Replicates an equivalent simple variance options portfolio from equal weighted option strips, which also produces its auxiliary indicators, DnVar, UpVar, Skew, Convexity and ATM.
Daily benchmark and live streaming versions
Access and monitor both a daily (end-of-day) official benchmark CVOL calculation as well as a live streaming CVOL Index.
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Get the latest updates on our CVOL products and services.
The CME Group Volatility Index (CVOL) delivers the first ever cross-asset class family of implied volatility indices based on simple variance. Using our proprietary simple variance methodology that assigns equal weighting to strikes across the entire implied volatility curve, the CVOL Index produces a more representative measure of the market’s expectation of 30-day forward risk.
How to access
You have multiple ways to view CVOL data. Choose the method(s) that best suits your needs.
Market data in the cloud
Access CVOL data using the benefits of Google Cloud Platform – delayed and real-time data delivery at scale, securely and easily, using our hourly fee model for cloud-computing.
CVOL data via CME Direct, the one-stop trading solution for futures, options, and block trades. Download the CVOL trading grid to easily add CVOL data to analytics and enhance your trading decisions.
Download CVOL trading grids for CME Direct:
- Right-click the link for the relevant grid
- Save the file as an .XML on your computer.
- In CME Direct, select Import View in the main menu.
- Import the grid into CME Direct.
- Under Menu, click on Save Window Layout.
Use our self-service historical data platform, CME DataMine, to browse, license, and download CVOL datasets on the asset classes and products that interest you most.
Volatility oversight committee
View a summary of the latest meeting of the oversight committee.
Carrick Pierce (Chair)
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How the CVOL Index works
CVOL Indices measure the expected risk or volatility of an underlying futures contract based on the information contained in the prices of options on that underlying futures contract.
The concept of simple variance can be used to improve existing measures of expected volatility. CVOL indexes use an improved simple variance estimation method to provide expected volatility metrics derived from the entire Implied Volatility Curve. The original simple variance methodology was introduced in two papers by Ian Martin, Professor of Finance at the London School of Economics, which provide more information about simple variance and its applications: Simple Variance Swaps and What is the Expected Return on the Market?"
Watch and learn more about how CVOL Indices work.
Introduction to CVOL Skew
Learn about Convexity
Research and analysis
Learn how research experts and industry leaders are using CVOL to gain insights and improve decision-making for trades.
Contact a Data expert
Connect with a member of our team to get more information about our products and services.