iShares China Large-Cap ETF (FXI) Probability Analysis

Probability analysis extracts the risk-neutral probability distribution implied by option prices. It shows the market-implied likelihood of the underlying reaching various price levels by expiration.

iShares China Large-Cap ETF (FXI) operates in the Financial Services sector, specifically the Asset Management - Global industry, with a market capitalization near $5.66B, listed on AMEX, carrying a beta of 0.55 to the broader market. The iShares China Large-Cap ETF seeks to track the investment results of an index composed of large-capitalization Chinese equities that trade on the Hong Kong Stock Exchange. public since 2004-10-08.

Snapshot as of May 29, 2026.

Spot Price
$35.14
ATM IV
21.4%
IV Rank
26.1%
IV Percentile
13.5%
HV 20-Day
20.8%
IV Skew 25Δ
0.000

As of May 29, 2026, iShares China Large-Cap ETF (FXI) at $35.14 has an ATM IV of 21.4%, implying a 30-day one-standard-deviation range of approximately ±$2.16. IV rank is 26.1% (subdued, distribution priced tighter than usual). IV percentile is 13.5%. The 25-delta skew is +0.000: roughly symmetric wings. Under lognormal assumptions roughly 68% of outcomes fall within ±1σ and 95% within ±2σ; risk-neutral probability analysis refines this by extracting the market-implied distribution directly from options prices, capturing the fat tails that real markets exhibit.

How FXI probability analysis Data Feeds Strategy Selection

Strategy selection on iShares China Large-Cap ETF options does not derive from any single metric in isolation. The probability analysis view above sits inside a broader read: ATM IV currently sits at 21.4% and dealer gamma exposure is negative, so dealer hedging amplifies directional moves. Combine the probability analysis data here with the volatility-skew surface, dealer-gamma exposure, max-pain level, and upcoming-events calendar to build a positioning thesis. Risk-defined structures (credit spreads, debit spreads, iron condors) are usually safer than naked positions while the regime is uncertain; the data on this page anchors the inputs but does not by itself constitute a trade thesis.

How to read the FXI probability distribution

The probability cone above is the option-market-implied distribution of where iShares China Large-Cap ETF spot could end up at expiration. It's derived from the implied-volatility surface via a risk-neutral pricing transformation, not from historical realized returns. With ATM IV at 21.4% and spot at $35.14, the 1σ band is approximately ±7.4% over a 30-day horizon. Recent realized HV-20 of 20.8% runs 0.6 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

FXI risk-neutral vs real-world probabilities

The probabilities derived from option prices reflect the market's risk-adjusted view, not the realized statistical distribution. Risk-neutral probabilities include the equity risk premium and skew preferences priced into options, so they tend to overstate tail probability and understate upside drift relative to actually-realized outcomes. For probability-of-touch calculations and assignment-risk modeling, risk-neutral is the right benchmark. For position-sizing your own conviction, blend with realized-volatility-based statistics from the HV columns.

Trading the FXI distribution

Probability-driven strategies aim to capture mispricings between the implied distribution and your own probability assessment. Premium-selling structures (credit spreads, iron condors, cash-secured puts) profit when the implied distribution overprices tail probability relative to realized; premium-buying (debit spreads, long calls/puts, long straddles) profits in the reverse. With FXI IV rank at 26.1%, the chain is pricing tighter tails than recent realized history; buyers get cheaper optionality but need a real catalyst to monetize. Always pair probability-driven strategy selection with a stop loss or wing-defined risk - the implied distribution is a snapshot, and regime shifts can invalidate it intraday.

Learn how risk-neutral density is reported and how to read the data →

FXI implied volatility by strike, top contracts ranked by IV in the nightly options scanFXI Implied Volatility Skew (Top Contracts)22%23%24%25%$32$33$34$35$36$37$38$39$40Strike ($)Implied VolatilityCall IVPut IV
Chart aggregates top-ranked contracts by strike from the institutional-grade nightly options scan. Sparse coverage on long-tail tickers reflects the scan's S&P 500/400/600 + ETF focus.

FXI highest implied-volatility contracts

TypeStrikeExpirationVolumeOIIVBidAsk
CALL$35.00Jul 17, 202624.0K53221.9%$1.07$1.23
PUT$37.00Jun 18, 20263179.8K23.2%$2.07$2.31
CALL$35.00Jul 17, 202624.0K53221.9%$1.07$1.23
PUT$35.00Jul 17, 202624.0K46.9K21.9%$1.06$1.12
PUT$32.00Jun 18, 20260126.4K25.3%$0.01$0.12
CALL$40.00Sep 18, 202623124.5K23.2%$0.40$0.44
PUT$34.00Jun 18, 202618120.3K23.0%$0.32$0.35
PUT$36.00Sep 18, 20260112.1K22.5%$1.92$2.44
CALL$39.00Jun 18, 20260109.4K25.8%$0.01$0.06

Top 9 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.

Frequently asked FXI probability analysis questions

What is the FXI 30-day expected price range?
As of May 29, 2026, with FXI at $35.14 and ATM IV at 21.4%, the implied 30-day one-standard-deviation range is approximately ±$2.16, or about $32.98 to $37.30. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
What does FXI risk-neutral density tell us?
Risk-neutral density is the probability distribution of future FXI price implied by listed option prices. Extracted via Breeden-Litzenberger (twice-differentiating the call price function with respect to strike), it represents the pricing kernel rather than the real-world probability of outcomes. Persistent skew or fat-tail features in the density reflect how the market is pricing tail risk.
How does FXI ATM IV translate to a probability range?
ATM IV is annualized; multiplying by sqrt(t/365) scales it to the chosen tenor. Under lognormal assumptions, the resulting standard deviation defines the ±1σ band that contains roughly 68% of outcomes, ±2σ for 95%. Empirical equity returns have fatter tails than log-normal, so the implied tail probabilities under-state realized tail frequency in stressed regimes.