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ETF Analytics

MCHI ETF Analytics

Fund Profile · Cost · Size · Liquidity · Exposure

Financial ServicesAsset Management - GlobalScore data as of Sep 4, 2026

MCHI

ETF Analytics
iShares MSCI China ETF
Financial Services· Asset Management - Global
AIQ Score
NeutralAIQ Edge 8/10
Relative Leader / Watch
Strong Relative Position
Score data as of Sep 4, 2026
Last price
$54.91
+$0.54 (+0.99%)
Latest market quote
Momentum53
Value64
Quality60
Risk Resilience72
Sentiment50
View financial data

ETF Analytics Snapshot

Current ETF evidence uses fund profile, cost, size, distribution, momentum, and risk fields.

Price
$54.91
As of Sep 4, 2026
Fund size
$6.28B
Expense ratio
0.59%
Distribution yield
1.10%
IShares ETF evidence

ETF pages use fund-native profile fields for cost, size, liquidity, holdings breadth, NAV, issuer, and launch date.

Review ETF analytics
Holdings
578
NAV
$54.49
Average volume
3.83M
Inception
Mar 28, 2011
Asset class
Equity
Primary exposure
Basic Materials (5.17%)
Beta
0.63
Momentum score
53/100

ETF Fundamentals Overview

Fund-native evidence replaces stock-only quarterly statement fields for ETF pages.

Fund profile

FieldValue
Fund nameiShares MSCI China ETF
IssuerIShares
Asset classEquity
Primary exposureBasic Materials (5.17%)
DomicileUS
Inception dateMar 28, 2011
Websitehttps://www.ishares.com/us/products/239619/ishares-msci-china-etf

Current ETF metrics

FieldValue
Fund size$6.28B
Expense ratio0.59%
Holdings count578
NAV$54.49
Average volume3.83M
Distribution yield1.10%
Beta0.63

Top Holdings

586 reported holdings; top five weight 31.65%.

SymbolHoldingWeightMarket value
0700.HKTENCENT HOLDINGS13.52%$859.45M
9988.HKALIBABA GROUP HOLDING9.24%$587.58M
0939.HKCHINA CONSTRUCTION BANK CORP H4.03%$256.38M
1398.HKINDUSTRIAL AND COMMERCIAL BANK OF2.50%$158.82M
1810.HKXIAOMI2.35%$149.28M
3988.HKBANK OF CHINA LTD H2.00%$126.83M
3690.HKMEITUAN1.93%$122.46M
2318.HKPING AN INSURANCE (GROUP) CO OF CH1.75%$110.97M
PDDPDD HOLDINGS ADS1.68%$106.65M
9999.HKNETEASE1.66%$105.33M

ETF Exposure

Sector and country weights from ETF snapshot data where available.

Sector exposure
FieldValue
Basic Materials5.17%
Cash & Others0.01%
Communication Services19.41%
Consumer Cyclical25.02%
Consumer Defensive3.11%
Energy3.49%
Financial Services19.79%
Healthcare5.33%
Country exposure
FieldValue
China89.04%
Ireland1.69%
Hong Kong6.15%
Singapore1.10%
Switzerland0.85%
Other0.56%
Canada0.31%
Australia0.23%

ETF Risk-Adjusted Context

Risk and return-efficiency metrics sit beside fund structure rather than company financial statements.

AIQ Score
61/100

Composite research read.

Sharpe Ratio
-0.57

Return per unit of total volatility.

Sortino Ratio

Return per unit of downside volatility.

Max Drawdown
-24.65%

Largest trailing drawdown in the risk window.

Momentum
53/100

Trend and price behavior.

Value Exposure
64/100

Relative valuation/exposure context.

Risk
72/100

Volatility and downside resilience.

Annual Volatility
19.94%

Annualized realized volatility.

ETF analytics context
How to read MCHI's ETF profile

Read cost, fund size, liquidity, holdings breadth, NAV, distribution yield, and exposure together. ETF analytics should not be judged by company-only fields such as revenue, EPS, margins, or payout ratio when those rows are not applicable.

Analysis tools

Export and portfolio tools complement the ETF evidence above.

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See how ETF evidence contributes to the full analysis workspace.

How to Read a Fundamental Profile

Fundamental analysis is the discipline of estimating what a business is worth by examining the financial evidence it produces: how much it earns, how efficiently it converts revenue to cash, how much capital it uses to produce those earnings, and whether the current price compensates an investor for the risks of holding it. The metrics on this page are organized into six evidence buckets -- valuation, profitability, leverage, growth, efficiency, and company size -- because each bucket answers a different question. Valuation multiples answer whether the market price is cheap or expensive relative to underlying earnings power. Profitability answers whether the business model is inherently strong or thin. Leverage answers whether the balance sheet is durable under stress. No single ratio tells a complete story; the analysis is about how the full set hangs together.

The single most diagnostic question in fundamental analysis is whether a business generates returns on invested capital above its cost of capital. A business that earns 20% ROIC while its cost of capital is 9% is compounding value for shareholders at an 11-point spread -- and the market will typically pay a meaningful premium to book value for that privilege. A business that earns 8% ROIC against a 10% cost of capital is destroying economic value even if reported earnings are growing, because growth at below-cost returns dilutes per-share value rather than building it. This is why ROIC and gross margin -- which measures the inherent advantage in the product before overhead -- are the highest-signal fundamental metrics for evaluating business quality at the model level.

Valuation multiples (P/E, EV/EBITDA, P/S, P/FCF) measure what the market currently demands per unit of earnings, sales, or cash flow. They are not independently actionable: a low P/E can indicate value or distress, and a high P/E can indicate genuine quality or speculative excess. The interpretive work is contextual -- comparing a multiple to sector peers, to the company's own history, and to the underlying growth rate. The PEG ratio (P/E divided by earnings growth rate) is a simple first-order adjustment; EV/EBITDA is more reliable for cross-capital-structure comparisons because it normalizes for debt. FCF yield (FCF / market cap) is the cleanest single valuation signal for mature businesses because it is harder to manipulate than GAAP earnings.

Growth metrics deserve careful handling. Revenue growth that outpaces earnings growth signals margin compression -- revenue expansion without profitability improvement. EPS growth that outpaces revenue growth often reflects share buybacks rather than operational leverage, which is worth distinguishing. The highest-quality growth signature is expanding ROIC alongside revenue growth: the business is finding new markets without sacrificing the economics that made the existing business attractive. Declining ROIC with accelerating revenue growth is the opposite -- scale without economics, often the precursor to a valuation reset.

How to Read This Table

  • Valuation multiples (P/E, EV/EBITDA): Compare within sector and against the company's own 5-year history before concluding cheap or expensive.
  • ROIC vs WACC spread: The most important single quality signal. Sustained ROIC above cost of capital is the foundation of durable long-term returns.
  • Gross margin: Measures inherent product economics before overhead. Declining gross margin at scale is an early warning sign.
  • Debt-to-Equity and Interest Coverage: Frame balance sheet durability. Interest coverage below 3x reduces resilience in stress.
  • FCF yield: Divide trailing free cash flow by market cap. Yields above 4-5% are generally constructive; negative FCF yield requires a clear path to conversion.
  • Revenue growth vs. EPS growth: The gap between them tells you whether scale is creating or consuming margin.

These are analytical tools, not investment recommendations. Historical patterns do not guarantee future results.

MCHI ETF Analytics FAQ

What is MCHI's expense ratio?

MCHI's expense ratio shows the annual fund cost when available. Compare it with holdings, tracking exposure, liquidity, dividend yield, and volatility.

What is MCHI's dividend yield?

MCHI's dividend or distribution yield helps investors compare income potential. It should be weighed against fund strategy, expense ratio, and risk.

How diversified is MCHI?

MCHI's diversification depends on holdings count, top-position concentration, and sector exposure. Fund size and liquidity do not automatically mean broad diversification.

Is MCHI overvalued or undervalued?

ETF valuation depends on the valuation of its underlying holdings, sector exposure, and market regime. Use fund fundamentals with risk and technical context.