S&P 500 vs Emerging Markets
SPY closed near $708 in mid-April 2026; EEM traded near $52 the same week. EEM tracks MSCI Emerging Markets Index covering 25+ developing economies.
Also known as: S&P 500 ETF (SPY) (ETF_SPY, S&P 500, SPX, SP500) · Emerging Markets (EEM) (ETF_EEM, emerging markets, EM)
Why This Comparison Matters
SPY closed near $708 in mid-April 2026; EEM traded near $52 the same week. EEM tracks MSCI Emerging Markets Index covering 25+ developing economies. Country weights April 2026: China ~25.08 percent, Taiwan ~22.53 percent, South Korea ~16.15 percent, India ~12.35 percent, with Brazil, Saudi Arabia, Mexico, South Africa, Indonesia smaller. Top holdings: Taiwan Semiconductor 13.26 percent (single-largest EEM holding), Samsung Electronics, Tencent, SK Hynix, Alibaba. EEM has gained 53 percent over trailing 12 months versus SPY 17.4 percent, a 35.6 percentage point EM outperformance, the largest sustained gap in over a decade. Drivers: weaker dollar, semiconductor demand from Taiwan and Korea, renewed foreign investment in China and India, and AI capex translation questions weighing on US.
EEM Composition
EEM holds approximately 1,200 stocks across 25+ emerging markets. Country weights April 2026: China 25.08 percent, Taiwan 22.53 percent, South Korea 16.15 percent, India 12.35 percent, Brazil ~6 percent, Saudi Arabia ~4 percent, Mexico ~3 percent, South Africa ~3 percent, Indonesia ~2 percent.
Top 5 holdings: Taiwan Semiconductor 13.26 percent (single-largest EEM holding by far), Samsung Electronics ~5 percent, Tencent ~4 percent, SK Hynix ~3 percent, Alibaba ~3 percent. The semiconductor concentration is striking: TSMC plus Samsung plus SK Hynix together represent approximately 21 percent of EEM. EEM is essentially a leveraged play on semiconductor and AI hardware demand at the EM level.
Sector weights: Tech ~22 percent (semiconductor concentrated), Financials ~21 percent (Asian banks), Consumer Discretionary ~12 percent (Alibaba, Tencent, MercadoLibre), Communications ~9 percent, Materials ~7 percent, Energy ~5 percent. EEM AUM approximately $25 billion. Expense ratio 0.69 percent (the highest among major equity ETFs we cover).
The 2025-2026 EM Outperformance
EEM has gained 53 percent over trailing 12 months vs SPY 17.4 percent (35.6 percentage point EM outperformance, largest sustained gap in over a decade). Three drivers explain the rally.
First, semiconductor demand: Taiwan Semiconductor (13.26 percent of EEM) is the dominant manufacturer for Nvidia, Apple, Qualcomm AI chips. The 2024-2026 AI capex cycle has driven unprecedented TSMC revenue and capacity expansion. TSMC stock has gained roughly 80 percent in 2024-2025. Samsung and SK Hynix benefit from HBM (high-bandwidth memory) demand for AI training, both gaining 50+ percent.
Second, China stimulus and reform: 2024-2026 China policy stimulus including PBoC rate cuts, fiscal expansion, and property sector intervention has supported Chinese equities. Tencent and Alibaba have rallied 30-50 percent on regulatory clarity and stimulus.
Third, India growth story: Indian equities continued multi-year compounding. Sensex reached new highs in 2025-2026 on infrastructure spending, manufacturing reshoring, and demographic dividend.
EEM's Semiconductor Concentration
TSMC alone is 13.26 percent of EEM, the largest single-stock concentration in any major equity ETF. Combined with Samsung Electronics (~5 percent) and SK Hynix (~3 percent), semiconductor companies represent approximately 21 percent of EEM.
The concentration produces specific risks and opportunities. Risk: TSMC company-specific issues (China geopolitical tensions, Taiwan Strait risk, customer concentration with NVDA/Apple) can produce material EEM moves. Opportunity: TSMC dominance of advanced semiconductor manufacturing means EEM benefits disproportionately from AI hardware cycle.
The TSMC concentration also creates an interesting asymmetry vs SPY. SPY has Nvidia at ~7 percent (similar AI hardware exposure but at the customer level). EEM has TSMC at 13.26 percent (the manufacturer). Both benefit from AI hardware cycle but through different value-chain positions. SPY captures AI design and software; EEM captures AI manufacturing.
Currency and Dollar Sensitivity
EEM is unhedged to USD. Roughly 35-45 percent of EEM volatility comes from currency moves; 55-65 percent from underlying equity moves. The currency contribution is higher than EFA because emerging market currencies are typically more volatile than developed-market currencies.
During 2014-2024 USD strength, EM currency drag accounted for approximately 50 percentage points of EEM underperformance vs SPY. During 2025-2026 USD weakness, currency has contributed approximately 8-10 percentage points of EEM outperformance. The dollar effect is large.
EM-specific currency risks: BRL (Brazilian real), MXN (Mexican peso), TRY (Turkish lira), INR (Indian rupee), and ZAR (South African rand) all have historical volatility periods that can devastate USD-investor returns. The Latin American currency crises of 1994-1995, Asian crisis 1997-1998, and Russian default 1998 all produced significant EEM drawdowns from currency components alone.
The 2010-2024 EM Lost Decade
From 2010 through October 2024, SPY gained ~350 percent while EEM gained ~30 percent (320 percentage point cumulative SPY outperformance). The "EM lost decade" was unprecedented: at no other 14-year window since EEM's 2003 inception had EM underperformed US so dramatically.
Drivers: First, China property crisis: 2014-2024 China real estate sector decline (Evergrande default, Country Garden distress, broader property developer collapse) weighed heavily on Chinese equities. Second, dollar strength: USD index +30% 2010-2024 produced material currency drag. Third, US tech dominance: AI, cloud, and platform companies all US-listed; EM had no equivalent. Fourth, EM-specific stress: Russia/Ukraine war 2022 (Russia removed from EEM after invasion); Turkey/Argentina/Brazil currency crises throughout the period.
The lost decade led to massive capital outflows from EM funds. EM equity allocations dropped from ~15 percent of global equity allocations in 2010 to ~8 percent in 2024.
EEM Volatility and Beta
EEM realized volatility is approximately 22 percent annualized vs SPY 16-17 percent. The 1.4x volatility ratio reflects EM-specific risks plus currency exposure. EEM beta to SPY averages 1.1, with significant variation: during EM-specific stress episodes (1997-1998 Asian crisis, 2014-2016 commodity collapse) beta drops to 0.7-0.9 (EM moves on its own factors). During risk-on rallies, beta rises to 1.3-1.5 (EM amplifies broader market moves).
60-day rolling correlation between SPY and EEM averages approximately 0.70. During risk-off periods correlation rises to 0.80-0.85; during EM-specific episodes drops to 0.50-0.65. Current April 2026 correlation approximately 0.55, reflecting the EM-specific outperformance regime.
For pair-trade sizing, the 1.4x volatility plus 0.70 correlation produces a hedge ratio of approximately 0.70 SPY per 1 EEM (dollar-weighted) for beta-neutral positioning. The pair has higher tracking error than SPY-vs-EFA because EM has more idiosyncratic exposures.
How the Pair Performs in Crises
EM-specific crises have produced extreme SPY-vs-EEM divergence. The 1997-1998 Asian financial crisis: EEM didn't exist yet but MSCI EM Index fell ~60 percent peak-to-trough vs SPY +50 percent (110 percentage point divergence in 18 months). The 2014-2016 commodity collapse: EEM fell 40 percent vs SPY +5 percent. The 2022 hiking cycle and Russia removal: EEM fell 25 percent vs SPY -25 percent (essentially equal but EEM with idiosyncratic stress).
The 2008-2009 GFC: EEM fell 65 percent peak-to-trough vs SPY 56 percent (9 percentage point EEM underperformance, EM credit/currency stress). The 2020 COVID: EEM -34 percent vs SPY -34 percent (essentially equal, both global crisis).
Pattern: in EM-specific crises (Asian 1997, commodity 2014-2016, EM-currency 2018), EEM massively underperforms. In global crises (2008, 2020), EEM tracks SPY similarly. In US-specific stress (2025-2026 AI translation questions), EEM outperforms.
How Fed Policy Affects EEM
Fed policy is a primary EEM driver through dollar exchange rate and global liquidity. Restrictive Fed (2022-2024 hiking) drove dollar strength that hurt EM. EM dollar-denominated debt servicing became more expensive; EM currency depreciation drove asset value declines for USD investors.
Accommodative Fed (2024-2026 cutting) reverses these dynamics. Dollar weakens, EM debt servicing eases, EM currencies appreciate. Each Fed cut produces approximately 2-4 percent EEM outperformance over 30 days, with the effect compounding through dollar moves and EM credit spread tightening.
The 2025-2026 setup with Fed at 3.50-3.75 percent (down from 5.25-5.50 percent peak) has been highly favorable for EM. If Fed delivers expected 2-3 cuts in 2026, expect EEM to continue outperforming SPY by 3-5 percentage points annually from monetary policy alone.
Reading the Pair as a Trading Tool
For pair traders, the SPY/EEM ratio currently trades at approximately 13.6 (SPY $708 / EEM $52). The 12-month range is approximately 11.5 to 16.0. The 5-year range is 11.5 to 17.5 (SPY peak in late 2024). Above 16.0 indicates extreme SPY outperformance; below 11.5 indicates broader EEM rally.
Long SPY / short EEM captures continued US dominance: benefits from dollar strength, EM-specific stress, AI translation success in US, and recession scenarios with EM credit stress. Long EEM / short SPY captures EM rotation: benefits from continued Fed cuts, dollar weakness, semiconductor cycle continuation, China stimulus, and India growth. Position sizing should account for EEM 22 percent annualized volatility versus SPY 16-17 percent.
The pair has produced highly variable returns. From 2010-2024 cumulative long SPY short EEM gained 320 percentage points. Trailing 12 months: long EEM short SPY has gained 35.6 percentage points. The current 2025-2026 reversal is the largest sustained EM outperformance in over a decade.
The April 2026 Configuration
SPY ~$708, EEM ~$52, ratio 13.6. EEM trailing 12 months +53% vs SPY +17.4% (35.6pp EM outperformance). TSMC at 13.26% of EEM has gained 80% in 2024-2025; Samsung and SK Hynix gained 50+%. Tencent and Alibaba +30-50%. India Sensex new highs.
Forward-looking: TSMC Q1 2026 earnings will set EEM direction. Strong AI hardware revenue extends EM rally. Disappointment hurts EEM disproportionately. China policy stimulus continuation supports Chinese equities (~25% of EEM). India economic data: continued growth supports EEM. Dollar trajectory: USD weakness supports EEM, USD strength reverses.
Watch the SPY/EEM ratio for moves outside 11.5 to 16.0. Below 11.5 indicates structural EM revival underway. Above 16.0 indicates US exceptionalism reasserting. The pair offers leveraged exposure to dollar weakness, AI hardware cycle, and EM growth simultaneously through one trade.
Conditional Forward Response (Tail Events)
How Emerging Markets (EEM) has historically behaved in the 5 sessions following a top-decile or bottom-decile daily move in S&P 500 ETF (SPY). Computed from 1,266 aligned daily observations ending .
Following these triggers, Emerging Markets (EEM) falls 0.12% on average over the next 5 sessions, versus an unconditional baseline of +0.11%. 127 qualifying events; Emerging Markets (EEM) closed positive in 53% of them.
Following these triggers, Emerging Markets (EEM) rises 0.35% on average over the next 5 sessions, versus an unconditional baseline of +0.11%. 126 qualifying events; Emerging Markets (EEM) closed positive in 54% of them.
Past behavior in the tails is descriptive, not predictive. Mean response is the simple arithmetic mean of compounded 5-day forward returns following each trigger event; baseline is the unconditional mean across the full sample window. Edge measures the gap between the two.
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Frequently Asked Questions
What's in EEM?+
EEM tracks MSCI Emerging Markets Index: ~1,200 stocks across 25+ emerging markets. Country weights April 2026: China 25.08%, Taiwan 22.53%, South Korea 16.15%, India 12.35%, Brazil ~6%, Saudi Arabia ~4%, Mexico ~3%, South Africa ~3%, Indonesia ~2%. Top 5: Taiwan Semiconductor 13.26% (single-largest EEM holding), Samsung Electronics ~5%, Tencent ~4%, SK Hynix ~3%, Alibaba ~3%. Semiconductor concentration: TSMC + Samsung + SK Hynix = ~21% of EEM. Sectors: Tech 22%, Financials 21%, Consumer Discretionary 12%, Communications 9%, Materials 7%, Energy 5%. EEM AUM ~$25B, expense 0.69%.
What drove the 2025-2026 EM rally?+
EEM gained 53% over trailing 12 months vs SPY 17.4% (35.6pp EM outperformance, largest sustained gap in over a decade). Three drivers. First, semiconductor demand: Taiwan Semiconductor 13.26% of EEM is dominant manufacturer for Nvidia/Apple/Qualcomm AI chips. TSMC stock +80% 2024-2025. Samsung and SK Hynix benefit from HBM (high-bandwidth memory) for AI training, both +50%. Second, China stimulus: 2024-2026 PBoC cuts, fiscal expansion, property sector intervention. Tencent and Alibaba +30-50% on regulatory clarity. Third, India growth: Sensex new highs on infrastructure, manufacturing reshoring, demographic dividend.
How concentrated is EEM in semiconductors?+
TSMC alone is 13.26% of EEM, the largest single-stock concentration in any major equity ETF. Combined with Samsung Electronics (~5%) and SK Hynix (~3%), semiconductor companies represent ~21% of EEM. Risk: TSMC company-specific issues (China geopolitical tensions, Taiwan Strait risk, customer concentration with NVDA/Apple) produce material EEM moves. Opportunity: TSMC dominance of advanced semiconductor manufacturing means EEM benefits disproportionately from AI hardware cycle. EEM captures AI manufacturing while SPY (with Nvidia ~7%) captures AI design and software.
How does currency affect EEM?+
EEM is unhedged to USD. ~35-45% of EEM volatility comes from currency moves; 55-65% from underlying equity. Higher currency contribution than EFA because EM currencies more volatile than developed. During 2014-2024 USD strength, EM currency drag ~50pp of EEM underperformance vs SPY. During 2025-2026 USD weakness, currency contributed ~8-10pp of EEM outperformance. EM-specific risks: BRL, MXN, TRY, INR, ZAR have historical volatility periods. 1994-1995 LatAm crises, 1997-1998 Asian crisis, 1998 Russian default all produced significant EEM drawdowns from currency components alone.
What was the 2010-2024 EM lost decade?+
From 2010 through October 2024, SPY +350% vs EEM +30% (320pp cumulative SPY outperformance). Unprecedented: at no other 14-year window since EEM 2003 inception had EM underperformed US so dramatically. Drivers: China property crisis (Evergrande default, Country Garden distress); dollar strength USD +30% 2010-2024; US tech dominance no EM equivalents; EM-specific stress (Russia/Ukraine 2022, Turkey/Argentina/Brazil currency crises). EM equity allocations dropped from ~15% of global allocations in 2010 to ~8% in 2024 as investors abandoned EM.
How volatile is EEM vs SPY?+
EEM realized volatility ~22% annualized vs SPY 16-17% (1.4x ratio). EEM beta to SPY averages 1.1 with significant variation: EM-specific stress drops beta to 0.7-0.9 (EM moves on own factors); risk-on rallies push beta to 1.3-1.5 (EM amplifies). 60-day rolling correlation averages 0.70: rises to 0.80-0.85 during risk-off, drops to 0.50-0.65 during EM-specific episodes. Current April 2026 correlation ~0.55 reflecting EM-specific outperformance. For pair-trade sizing, 1.4x vol plus 0.70 correlation produces hedge ratio ~0.70 SPY per 1 EEM (dollar-weighted) for beta-neutral.
How does Fed policy affect EEM?+
Fed policy is a primary EEM driver through dollar exchange rate and global liquidity. Restrictive Fed (2022-2024 hiking) drove dollar strength that hurt EM: dollar-denominated debt servicing more expensive, EM currency depreciation hurt USD investor returns. Accommodative Fed (2024-2026 cutting) reverses: dollar weakens, EM debt servicing eases, EM currencies appreciate. Each Fed cut produces ~2-4% EEM outperformance over 30 days. The 2025-2026 setup with Fed at 3.50-3.75% (down from 5.25-5.50%) has been highly favorable. Expected 2-3 cuts in 2026 = 3-5pp annual EEM outperformance from monetary policy alone.
How do I trade SPY vs EEM?+
Track the SPY/EEM ratio (currently ~13.6, 12-month range 11.5-16.0, 5-year range 11.5-17.5). Above 16.0 indicates extreme SPY outperformance; below 11.5 indicates broader EEM rally. Long SPY / short EEM captures continued US dominance: benefits from dollar strength, EM-specific stress, AI translation success, recession with EM credit stress. Long EEM / short SPY captures EM rotation: benefits from continued Fed cuts, dollar weakness, semiconductor cycle continuation, China stimulus, India growth. Position sizing: EEM 22% annualized vol vs SPY 16-17%. Pair has been highly variable: 320pp gain 2010-2024 long SPY short EEM, then 35.6pp trailing 12mo long EEM short SPY.
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Data sourced from FRED, CoinGecko, CBOE, and other providers. This page is for informational purposes only and does not constitute financial advice. Past performance does not guarantee future results.