DAX vs Euro Stoxx 50 Correlation: Spread Trading the Two Indices

The DAX (Germany 40 large-caps) and Euro Stoxx 50 (Eurozone 50 blue-chips) are heavily correlated but not identical. Both reflect Eurozone large-cap performance; the DAX is purely German while Euro Stoxx 50 is pan-European. The correlation typically runs 0.85-0.95, but the spread between the two indices fluctuates based on Germany-specific vs broader-Eurozone factors. For traders looking to express relative-value views with reduced market beta, spread trading FDAX vs FESX is a well-established setup. This guide covers the mechanics.

Index composition

DAX 40

• 40 largest companies listed on Frankfurt Stock Exchange.
• Sectoral tilt: industrial (Siemens, Schindler, ABB equivalents are not all included), automotive (Mercedes, VW, BMW), pharma (Bayer, Merck KGaA), financial (Allianz, Munich Re, Deutsche Bank, DBK), consumer staples, technology (SAP).
• Heavily international: top constituents derive 60-80% of revenue outside Germany.
• Performance index (includes reinvested dividends, distinct from a price-only index).

Euro Stoxx 50

• 50 largest blue-chip stocks across 8 Eurozone countries (Germany, France, Italy, Netherlands, Spain, Belgium, Finland, Ireland).
• Major constituents: ASML, LVMH, SAP, Siemens, Total Energies, Allianz, Sanofi, Schneider Electric, Air Liquide.
• Country mix: ~30% Germany, ~30% France, ~10% Italy, ~10% Netherlands, ~10% Spain, ~10% other.
• Sectoral mix: technology (ASML, SAP), luxury/consumer (LVMH, Hermès), pharma (Sanofi, Roche-related), financials, industrials.

The correlation

Daily return correlation between DAX and Euro Stoxx 50 typically runs 0.85-0.95 over rolling 60-day windows. The high correlation reflects:

• ~30% Germany weight in Euro Stoxx 50 (significant overlap in constituents).
• Common ECB monetary policy.
• Common European macro environment.
• Common trading hours.
• Heavy overlap in foreign-revenue exposure (both indices heavy in international sales).

The 5-15% of unexplained variance comes from:

• Country-specific factors (German fiscal policy, French elections, Italian political stress).
• Single-name impact (Mercedes earnings affect DAX disproportionately; LVMH affects Euro Stoxx 50 disproportionately).
• Sectoral composition differences (DAX more industrial; Euro Stoxx 50 more diversified).

Trading the spread

The basic spread trade:

• Long FDAX (DAX futures) + short FESX (Euro Stoxx 50 futures) → bullish German equities relative to broader Eurozone.
• Short FDAX + long FESX → bearish German equities relative.

The spread expresses a relative-value view with reduced market beta. If both indices fall, the spread profit/loss depends on which falls more, the relative outcome rather than absolute direction.

Sizing the spread

To create a beta-neutral spread, position sizing should equalise the dollar exposure of the two legs.

Step 1: Calculate notional of each contract

• FDAX at index 18,000: €25 × 18,000 = €450,000 notional per contract.
• FESX at index 4,800: €10 × 4,800 = €48,000 notional per contract.

Step 2: Calculate equal-notional position size

For 1 FDAX contract (€450,000 notional), the equivalent FESX position is:

FESX contracts = €450,000 / €48,000 ≈ 9.4 FESX contracts

Round to 9 or 10 FESX contracts depending on size preference.

Step 3: Adjust for beta differential

If DAX has historically had higher beta than Euro Stoxx 50 to common Eurozone factors, slight adjustments to the hedge ratio may be appropriate. Most traders use simple equal-notional pairing as a first approximation.

When the spread moves

DAX outperforms Euro Stoxx 50

Triggers:

• German industrial sector outperformance (favorable for DAX-heavy industrials).
• Weakness in French luxury sector (LVMH-driven, hits Euro Stoxx 50).
• German fiscal stimulus or favorable German political news.
• Euro weakness boosting German export profitability disproportionately.

Recent example periods: late 2022 / early 2023 when German industrial recovery outpaced French/Italian markets.

Euro Stoxx 50 outperforms DAX

Triggers:

• French elections producing market-friendly outcomes.
• Italian political stability.
• Strong performance in pan-European tech (ASML).
• DAX-specific weakness (German auto sector struggles, German political stress).

Recent example periods: certain 2023-2024 windows where French equities led European recovery.

Trading templates

Template 1: Mean-reversion fade

After the spread moves substantially in one direction (e.g., DAX outperforms Euro Stoxx 50 by 2-3% over 2-3 weeks), fade the move expecting reversion.

Setup:

• Identify spread extremes vs historical distribution.
• Open opposite-direction spread (short outperformer, long underperformer).
• Define exit at spread mean or pre-determined level.

Template 2: Catalyst-driven directional spread

Around specific German-only or Eurozone-broader catalysts, structure directional spread:

• German federal election ahead → spread view based on expected outcome.
• ECB decision likely to favor German vs broader Eurozone → spread view.
• French election ahead → opposite direction spread.

Template 3: Carry-aware long-spread

If the trader has a structural view favoring one index over the other for multi-month horizon, build the spread and hold. Roll quarterly.

Risks

1. Correlation breakdown

In stress regimes, correlation can break down, both indices may move sharply in different directions. The spread's expected risk profile no longer holds.

2. Single-name impact

Major news on a single heavy constituent (Siemens earnings for DAX, LVMH earnings for Euro Stoxx 50) can move one index materially without the other moving in tandem.

3. Country-specific events

German fiscal events affect DAX more than Euro Stoxx 50. French political events affect Euro Stoxx 50 more than DAX. Sudden country-specific news can break the typical correlation.

4. Sectoral rotation

Periods of sector rotation (industrial outperformance vs consumer outperformance) can shift the relative DAX/Euro Stoxx performance based on composition differences.

5. Liquidity in the spread

Liquidity is best during European cash session hours. Late-day or off-hours execution faces wider spreads on both legs.

Margin considerations

Spread positions on Eurex may benefit from margin offsets when held as a recognized spread structure. Confirm with broker whether the positions qualify for offset margin treatment.

For unhedged positions, margin requirements are calculated separately on each leg. Spread structures using Eurex calendar/cross-product offsets can substantially reduce capital requirements vs the sum of independent margins.

Cost considerations

Trading fees

Each leg of the spread incurs commission. Active spread traders should track total round-trip cost relative to expected spread movement.

Roll costs

Both legs roll quarterly. Roll execution should be coordinated across both legs to avoid leg risk.

Currency

For non-EUR-denominated accounts, both legs introduce EUR exposure. The spread trade itself is currency-neutral (the two EUR-denominated positions offset on FX), but the working margin is in EUR.

Cross-product variants

Beyond the simple FDAX vs FESX spread:

• DAX vs FTSE 100, express Germany vs UK relative view.
• DAX vs S&P 500, Eurozone vs US large-cap view.
• Euro Stoxx 50 vs S&P 500, broad Eurozone vs US view.
• DAX vs CAC 40, Germany vs France within Eurozone.

Each variant carries different correlation profiles, basis dynamics, and optimal sizing methods.

Related reading

• DAX futures on Eurex, parent overview.
• DAX Eurex margin requirements, capital planning.
• Index Derivatives pillar, the full landscape.