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XLK vs XLC — Quantitative ETF Study

GICS Reclassification Analysis  ·  Correlation Structure  ·  Holdings Comparison  ·  2018–2025
XLC Inception: June 2018 Back-Test Period: 2018-2025 (N=8) Event: GICS Reclassification Sept 2018 Primary Metric: Pearson Correlation Risk-Free Rate: 2.5%
Methodology & Data Set  ·  Study Period: 2018-2025 (N=8, XLC inception June 2018)  ·  Assets: XLK, XLC, QQQ, S&P 500 benchmark  ·  Returns: Annual total return including dividends reinvested  ·  Risk-free rate proxy: 2.5%  ·  Source: Yahoo Finance, Slickcharts, Visual Capitalist  ·  Not financial advice. Past performance does not guarantee future results.
XLK vs XLC Correlation
0.927
Very high co-movement (2018-2025)
XLC Google Exposure
~19.4%
GOOGL ~10.8% + GOOG ~8.6%
XLC Meta Exposure
~19.7%
~39% in just 2 companies
XLC 2022 Return
-37.6%
vs XLK -27.7% same year
XLK 8-Yr Terminal ($1)
$4.87
2018-2025
XLC 8-Yr Terminal ($1)
$2.67
2018-2025

Research Background — The 2018 GICS Reclassification

In September 2018, S&P and MSCI implemented a significant revision to the Global Industry Classification Standard (GICS), creating a new sector called Communication Services and transferring a number of large technology-oriented companies from the Technology and Consumer Discretionary sectors. The primary transfers relevant to this study were Alphabet (Google) and Facebook (Meta) from Technology to Communication Services, and Netflix from Consumer Discretionary to Communication Services. This reclassification simultaneously removed these companies from XLK and added them to the newly reconstituted XLC (previously the Telecommunications sector ETF). The study analyzes the statistical properties of both ETFs across the 8 observable years since XLC's relaunch in June 2018.

Key Research Question
Given that XLC holds approximately 19.4% Alphabet and 19.7% Meta — two of the largest companies in the world — does adding XLC to a portfolio containing XLK provide statistically meaningful diversification benefit, or does the high mutual correlation (0.927) render the combination redundant?

Constituent Holdings Analysis — XLK vs XLC

The table below compares the top constituent holdings of each ETF. The structural divergence is clear: XLK concentrates in semiconductors, enterprise software, and device hardware, while XLC concentrates in digital advertising (Google, Meta) and digital media (Netflix, Disney). Despite this compositional difference, macro correlation is 0.927.

HoldingXLK WeightXLC WeightGICS SectorPrimary Revenue Driver
Alphabet / Google0%~19.4%Communication ServicesDigital advertising, cloud
Meta Platforms0%~19.7%Communication ServicesDigital advertising, social media
Apple (AAPL)~12.9%0%Information TechnologyConsumer devices, services
Microsoft (MSFT)~11.5%0%Information TechnologyCloud, enterprise software
Nvidia (NVDA)~15%0%Information TechnologyAI chips, data center GPUs
Netflix (NFLX)0%~4.5%Communication ServicesStreaming subscription
T-Mobile (TMUS)0%~4.2%Communication ServicesWireless telecommunications
Walt Disney (DIS)0%~3.5%Communication ServicesEntertainment, streaming
Broadcom (AVGO)~4.5%0%Information TechnologySemiconductors, networking
Salesforce (CRM)~3.8%0%Information TechnologyCRM software, cloud

Approximate weights as of 2025. Holdings change with market capitalization movements and index rebalancing. Zero holdings reflect GICS sector classification rules.

Annual Return Comparison — XLK vs XLC (2018–2025)

N=8 annual observations. XLC launched June 2018; 2018 is a partial-year starting mid-year but treated as annual for consistency with other studies. QQQ shown as reference series.

Compound Growth Index — $1 Invested January 2018

$1 rebased to January 2018. XLC's -37.6% in 2022 drove the primary terminal value divergence from XLK.

Full Statistical Summary — 8-Year Back-Test (2018–2025)

StatisticXLKXLCQQQS&P 500
CAGR (2018-2025)21.9%13.6%20.4%14.1%
Terminal Value ($1)$4.87$2.67$4.52$2.92
Annualized Std. Dev.25.9%27.1%26.8%17.8%
Sharpe Ratio (rf=2.5%)0.7480.4110.6790.653
Positive Return Years6 / 86 / 86 / 86 / 8
Worst Single Year-27.7% (2022)-37.6% (2022)-32.6% (2022)-18.1% (2022)
Best Single Year+56.0% (2023)+52.8% (2023)+56.4% (2023)+26.3% (2023)
XLK Correlation1.0000.9270.9770.944

All metrics computed over 8 annual observations (2018-2025). XLC's weaker risk-adjusted performance (Sharpe 0.411 vs XLK 0.748) is primarily attributable to its deeper 2022 drawdown driven by Meta's -64% return that year.

Correlation Analysis — Why High Holdings Concentration Doesn’t Reduce Co-Movement

The macro driver argument

The intuition that XLC's distinct holdings (Google, Meta, Netflix) should produce meaningfully differentiated returns from XLK is undermined by a more powerful force: both ETFs are driven by the same macroeconomic factors. Interest rate expectations affect growth stock valuations uniformly across Technology and Communication Services. AI investment cycles benefit Nvidia (XLK) directly while also lifting Google Cloud and Meta AI spending (XLC). Digital advertising revenue is tightly correlated with semiconductor earnings cycles because both depend on the same enterprise technology capex and consumer confidence dynamics.

The 2022 evidence

In 2022, when the Federal Reserve raised rates by 425 basis points, XLK fell -27.7% and XLC fell -37.6% — both large, directionally identical, and both driven by the same rate-sensitivity mechanism. XLC's deeper drawdown reflected Meta's -64% decline (an idiosyncratic factor related to Reels investment costs and TikTok competition) rather than any structural difference in interest rate response. This episode confirms that the two ETFs share a correlation regime even when specific constituent performance diverges significantly within that regime.

Portfolio construction implication

A 0.927 correlation between XLK and XLC implies that a portfolio holding both allocates approximately 92.7% of the combined position to the same underlying return factor. Only 7.3% of the combined exposure is statistically independent. For practical diversification purposes, investors seeking Google and Meta exposure alongside XLK's Technology holdings should consider QQQ, which includes all of these names with a single 0.977 correlation to XLK — providing essentially the same concentrated growth-tech exposure in one instrument.

Annual Return Data — Full Observation Set (N=8)

YearXLKXLCQQQS&P 500XLK Edge vs XLCMarket

XLK outperformed XLC in 6 of 8 observable years. The primary driver of XLC underperformance was Meta's extreme volatility (-64% in 2022, +197% in 2023) which distorted XLC's return distribution.

Estimated Pre-2018 Performance — Back-Projection Methodology

Because XLC did not exist before June 2018, estimating its historical performance requires a proxy methodology. Given that Alphabet became publicly traded in 2004 and Meta in 2012, a reasonable proxy is constructed as a weighted blend of XLK and the S&P 500 total return index, with the XLK weight increasing over time as Google and Meta grew to represent larger proportions of what would have been XLC's portfolio.

PeriodProxy MethodologyRationale
Pre-2004Old Telecom sector (IYZ proxy)Google not yet public; XLC predecessor was pure telecom
2004-201150% XLK + 50% S&P 500Google public 2004; Meta IPO 2012; small weights
2012-201765% XLK + 35% S&P 500Meta public; Google/Meta growing toward Magnificent 7 weight
2018-2025Actual XLC returnsXLC inception June 2018; actual data used

Using this back-projection, estimated XLC 2004–2025 CAGR is approximately 10.9% — below XLK's actual 14.25% CAGR over the same 22-year window. This further supports the finding that XLC does not offer superior return potential versus XLK as a growth-technology instrument, even with Google and Meta as major holdings.

Did Google being in XLK or XLC matter for investors?
Primarily it mattered for investors who owned sector-specific funds rather than broad market index funds. Investors in XLK lost exposure to Google after September 2018, while investors in XLC gained it. For QQQ holders, Google remained in the portfolio throughout as the Nasdaq 100 methodology is not sector-based. The performance impact was most visible in 2023 when Google recovered strongly (+58%) and boosted both XLC (+52.8%) and QQQ (+56.4%), while XLK's Google-free composition still delivered +56.0% driven by Nvidia and Microsoft.
Why did XLC fall more than XLK in 2022?
XLC's -37.6% in 2022 vs XLK's -27.7% was driven primarily by Meta's -64.2% collapse that year. Meta's decline was driven by a combination of TikTok competition eroding user engagement metrics, CEO Mark Zuckerberg's decision to invest aggressively in the metaverse (Reality Labs division burned approximately $13.7 billion in 2022), and the broader digital advertising recession driven by iOS privacy changes. At approximately 20% of XLC's weight, Meta's collapse created approximately 12-13 percentage points of additional drag versus XLK.
Is XLC or XLK better for AI exposure?
XLK provides more direct AI infrastructure exposure through Nvidia (chips), Microsoft (Azure AI, Copilot), and Broadcom (custom AI ASICs). XLC provides AI application-layer exposure through Google (Gemini AI, Google Cloud) and Meta (AI-driven ad targeting, Llama models). Both sectors benefit from the AI investment cycle but through different parts of the value chain. For pure infrastructure exposure, XLK is the more concentrated instrument; for AI application and monetization exposure, XLC's Google and Meta weights are relevant.
Should I hold XLK and XLC together?
Based on the correlation analysis (0.927) and the back-test data (2018-2025), holding both simultaneously provides limited diversification benefit at the portfolio level. The more efficient path to owning both Technology (XLK) and Communication Services (XLC) constituents simultaneously is through QQQ, which includes all major constituents of both sectors in a single instrument with a 0.977 correlation to XLK. However, if your investment mandate or portfolio constraints require sector-specific ETFs, holding both XLK and XLC does provide explicit exposure to different named companies and different GICS sector classifications, which may be relevant for sector rotation strategies.

Data Sources & References

This research is for informational and educational purposes only. All statistics are computed from publicly available annual return data. N=8 annual observations represents a limited sample; findings should be interpreted accordingly. This does not constitute financial advice.