PairBook
HomeFXI › FXI vs QQQM

FXI vs QQQM: Correlation & Overlap

Measured on weekly returns over the past three years, iShares China Large-Cap ETF (FXI) and Invesco Nasdaq 100 ETF (QQQM) carry a correlation of 0.34, a moderate link. The two funds also share 0% of their portfolios by weight.

Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology

Correlation (3Y)
0.34
moderate
Correlation (1Y)
0.35
last 12 months
Correlation (5Y)
0.34
long-run
Holdings overlap
0%
0 common holdings

How correlated are FXI and QQQM?

Across a 3-year window, the weekly returns of FXI and QQQM correlate at 0.34, moderate. Recent behaviour matches the longer record: 0.35 over 1 year against 0.34 over 3. Stretching to 5 years gives 0.34, with an annualized covariance of 169.4 %².

Within FXI's tracked universe of 74 assets, QQQM comes in at #42 by 3-year correlation. Their recent paths diverged sharply: over the last 12 months QQQM outperformed by 32.5 percentage points (-6.1% for FXI against +26.4% for QQQM). On a rolling one-year basis the correlation drifted between 0.21 and 0.66, a moderate band.

+1.0+0.50-0.5-1.020232026-08-27
How the one-year correlation itself moved over the past three years.
How is this computed?

Pearson correlation on weekly returns: ρ(A,B) = cov(rA, rB) / (σA · σB), over windows of 52, 156 and 260 weeks. Covariance is annualized (×52) and expressed in %². Full definitions on the methodology page.

FXI vs QQQM: side by side

FXI (iShares China Large-Cap ETF)QQQM (Invesco Nasdaq 100 ETF)
1-year return-6.1%+26.4%
5-year return-1.4%+96.1%
Volatility (ann.)25.3%19.5%
Beta vs S&P 5000.681.28
Max drawdown (3Y)-23.2%-22.7%
Dividend yield1.87%0.46%
Expense ratio0.73%0.15%
Assets under management$4.3B$97.1B
Sector / categoryETF · InternationalETF · US Growth & Tech
Lower fee: QQQM 0.15% vs 0.73%Higher yield: FXI 1.87% vs 0.46%Smaller drawdown: QQQM -22.7% vs -23.2%Higher 5y return: QQQM +96.1% vs -1.4%

FXI is a Greater China Region fund from iShares: $4.3B under management, 50 holdings, a 0.73% expense ratio, a 1.87% trailing dividend yield. QQQM is a Large Growth fund from Invesco: $97.1B under management, 105 holdings, a 0.15% expense ratio, a 0.46% trailing dividend yield.

-17%0%+29%2025-09-052026-08-27
Both assets over the last year, indexed to 100 at the starting week. FXI · QQQM

Portfolio overlap between FXI and QQQM

The two portfolios are largely distinct: 0% of the funds' weight sits in the same underlying holdings (0 common positions). Correlation tells you they move together; overlap tells you why.

Largest positions held only by FXI: 9988 (9.72%), 939 (9.09%), 700 (8.51%), 1398 (6.35%), 1810 (5.16%). Only by QQQM: NVDA (8.15%), AAPL (7.39%), MSFT (5.93%), MU (4.69%), AMZN (4.50%).

Overlap = sum of the smaller of the two weights across common holdings, from issuer disclosures as of 2026-08-26.

Year-by-year returns

YearFXIQQQM
2022-20.7%-32.5%
2023-12.4%+55.0%
2024+29.0%+25.7%
2025+28.9%+20.9%
2026-7.3%+17.7%

Calendar-year price returns; the current year is year-to-date as of the data date above.

Are FXI and QQQM good diversifiers for each other?

Yes, to a useful degree: a correlation of 0.34 leaves real independence between the two, which historically damped combined volatility.

FAQ

What is the correlation between FXI and QQQM?

The FXI/QQQM correlation stands at 0.34 on a 3-year window (1 year: 0.35, 5 years: 0.34), computed from weekly returns as of 2026-08-27.

Is QQQM a good diversifier for FXI?

Yes, to a useful degree: a correlation of 0.34 leaves real independence between the two, which historically damped combined volatility.

How much do FXI and QQQM overlap?

Per the issuers' own portfolio disclosures (2026-08-26), the overlap is 0% by weight over 0 common positions.

Use this data

JSON API · no key required
$ curl https://www.pairbook.io/api/v1/pairs/fxi-vs-qqqm.json

FXI vs QQQM: 3-year weekly correlation 0.34FXI vs QQQM0.34

Markdown for the live badge, attribution link included:

[![FXI vs QQQM correlation](https://www.pairbook.io/api/v1/badge/fxi-vs-qqqm.svg)](https://www.pairbook.io/pair/fxi-vs-qqqm/)

Free with attribution; caching and terms are described in the API documentation.

Related comparisons

Hubs: FXI correlations · QQQM correlations