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Historical Data

Cboe Hanweck Borrow Intensity Indicators describe constant maturity synthetic lending rates derived from real-time option analytics. Borrow Intensity Indicators are a proprietary calculation based upon implied borrow, enhanced with machine learning using characteristics including relative liquidity and term in order to create constant maturities of 45, 60, 90, 180, and 360 days.


Borrow Intensity Indicators may enhance:

  • Equity trading strategies
    • Higher frequency and timeliness than equity risk model short interest factors
  • Securities lending price discovery
    • Informs on levels and trends in overnight stock-borrow loan rates, highlighting rising shorts or other conditions in the collateral market such as persistent mildly hard-to-borrow securities

Borrow Intensity Indicator Attributes:

  • Includes:
    • Securities underlying US listed options (approximately 4,000 symbols)
    • Raw and smoothed form
    • Confidence measures supporting interpretation for every observation
  • Availability:
    • Current: 20 minute intervals, intraday (Subscription)
    • Historical: Back to 2010
  • Granularity:
    • Milliseconds
  • Format:
    • CSV Files
  • Delivery Method:
    • SFTP

For the file specifications, please click here
For the methodology overview, please click here

If you would like subscribe to ongoing updates of this data-set, please order the Subscription product here: Borrow Intensity Indicators - Subscription
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CFE VIX Tick data includes trades and quotes of all VIX futures contracts (VX) from the Cboe Futures Exchange (CFE). The historical data is available back to April 2004. Timestamps prior to and including February 23, 2018 are stated in U.S. Central (CST) and in Greenwich Mean Time (GMT) afterwards..

* VIX Trade at Settlement (TAS) data is not included

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Cboe LiveVol Implied Volatility Blends capture term structure and solve for expiration-specific and constant maturity implied volatilities encapsulated within the range of option expirations. Capturing the constant maturity volatilities helps traders visualize and track the behavior of volatility over time providing context to current market implied volatility. To build out our volatility blends we first solve for the at-the-money volatility of each expiration to capture the term-structure of the volatility. Next, using a cubic spline approach, we fit a curve to the term-structure. Using the fitted curve, we solve for the constant maturity (IV30, IV60, IV90, etc.) time periods offered in the file. *Constant maturity times that fall outside the range of expirations available for a particular symbol will be zero. This dataset is only available with end of day granularity.