iShares Large Cap Value Active ETF (BLCV) Volatility Skew
Implied volatility skew shows how IV varies across strike prices for a given expiration. Steeper skews indicate higher demand for downside protection relative to upside speculation.
iShares Large Cap Value Active ETF (BLCV) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $108.4M, listed on AMEX, carrying a beta of 0.84 to the broader market. The iShares Large Cap Value Active ETF seeks to maximize total return. public since 2023-05-23.
Snapshot as of May 15, 2026.
- Spot Price
- $38.94
- ATM IV
- 32.2%
- IV Skew 25Δ
- 0.052
- IV Rank
- 8.9%
- IV Percentile
- 37.1%
- Term Structure Slope
- -0.051
As of May 15, 2026, iShares Large Cap Value Active ETF (BLCV) at-the-money implied volatility is 32.2%. IV rank is 8.9% (where 0% is the 52-week low and 100% is the 52-week high). IV percentile is 37.1%. The 25-delta skew is +0.052: calls carry premium over puts, indicating upside speculation or squeeze risk. High IV rank typically favors premium-selling strategies; low IV rank favors premium-buying.
BLCV Strategy Selection at Current Volatility Levels
For iShares Large Cap Value Active ETF options at 32.2% ATM IV, low IV rank (8.9%) favors premium-buying or long-vol structures: long calls or puts, debit spreads, calendar spreads, long straddles. The risk: low-rank regimes can persist for months while time decay eats premium-buyers alive. The 25-delta skew tilts to calls, so call-credit spreads or covered-call writes harvest more premium than put-credit spreads of the same width. Pair the vol-rank read with the dealer-gamma view and the upcoming-events calendar to confirm the strategy fits both the structural regime and the path-dependent risk. The variance risk premium - the persistent gap between implied and subsequently realized vol - is positive in equity markets on average; high IV rank typically reflects a stretch where the premium is wider than usual.
Learn how volatility skew is reported and how to read the data →