iShares Core High Dividend ETF
iShares Core High Dividend ETF (HDV) Implied Volatility Current
HDV implied volatility is 13%. IV Rank is 14%, placing current premiums in the bottom of their 52-week range.
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Tracking HDV implied volatility helps you identify when options premiums on iShares Core High Dividend ETF are historically cheap or expensive, and where the best trades are hiding. iShares Core High Dividend ETF implied volatility reflects the market's expectation of future price movement: when HDV IV rises, option premiums increase, creating opportunities for sellers, and when it drops, buyers can find cheaper contracts. Use our scanner to monitor iShares Core High Dividend ETF's implied volatility current levels in real time and filter for high-probability trades.
Implied volatility is derived from option prices using models like Black-Scholes and represents the annualized expected move of an underlying stock. For HDV, tracking metrics like HDV IV rank helps traders understand whether current implied volatility is historically high or low. IV rank compares today's reading against the past year's range — a high rank on HDV signals rich premiums and potential mean-reversion, while a low rank may favor long options strategies.
The iShares Core High Dividend ETF seeks to track the investment results of an index composed of relatively high dividend paying U.S. equities.
Premium sellers, directional traders, and spread builders all need the same starting point: a clear read on where HDV implied volatility sits today versus where it has been. Our scanner ranks iShares Core High Dividend ETF implied volatility against its historical range, surfaces extremes in HDV IV rank, and pairs every reading with the trades that exploit it. Stop guessing whether iShares Core High Dividend ETF IV is rich or cheap — measure it, then act on it.
Implied Volatility
IV is compressed vs the past year - options are relatively cheap, favoring buyers.
As of September 17, 2026
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Track HDV IV rank across every expiration, spot where volatility is elevated, and identify high-probability setups before the window closes.
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