Value-Momentum on German Stocks: 8.17% CAGR, +3.11% vs DAX

Value-momentum composite on XETRA from 2002 to 2025. 8.17% CAGR with +3.11% excess over DAX and 47.86% down capture against the local index. Mittelstand industrials fit the screen.

Growth of $10,000 invested in Value-Momentum on XETRA vs DAX.

Germany produced 8.17% CAGR with +3.11% excess over the DAX. The Sharpe of 0.387 is solid, and the strategy held up well in most downturns, though the -39.90% max drawdown is deeper than some other exchanges in the study.

Contents

  1. Method
  2. The Screen
  3. What We Found
  4. Key Observations
  5. Limitations
  6. Takeaway
  7. Part of a Series

Data: FMP financial data warehouse, 2000–2025. Updated May 2026.


Method

Parameter Value
Universe XETRA (Frankfurt Electronic Exchange)
Filters P/E 0-20, ROE > 10%, D/E < 1.0
Ranking 12-month momentum, composite percentile
Rebalancing Semi-annual (January, July)
Holding period 6 months
Max positions 30 stocks, equal weight
Cash rule Fewer than 10 qualifying stocks
Market cap > EUR 500M (~$545M USD)
Data source FMP via Ceta Research warehouse
Execution Next-day close (MOC execution model)
Benchmark DAX (^GDAXI)
Period 2000-2025 (effective: 2002-2025)

Based on Asness, Moskowitz, and Pedersen (2013). For the full methodology, see our US flagship post.

The Screen

-- Value-Momentum Germany (XETRA) Screen
-- Run at: cetaresearch.com/data-explorer?q=4TPFeBzoki

SELECT
    k.symbol,
    p.companyName,
    f.priceToEarningsRatioTTM as pe_ratio,
    k.returnOnEquityTTM * 100 as roe_pct,
    f.debtToEquityRatioTTM as debt_to_equity,
    k.marketCap / 1e9 as market_cap_billions
FROM key_metrics_ttm k
JOIN financial_ratios_ttm f ON k.symbol = f.symbol
JOIN profile p ON k.symbol = p.symbol
WHERE f.priceToEarningsRatioTTM > 0
    AND f.priceToEarningsRatioTTM < 20
    AND k.returnOnEquityTTM > 0.10
    AND f.debtToEquityRatioTTM >= 0
    AND f.debtToEquityRatioTTM < 1.0
    AND k.marketCap > 500e6
    AND p.exchange IN ('XETRA')
ORDER BY f.priceToEarningsRatioTTM ASC
LIMIT 100

What We Found

Growth of $10,000 invested in Value-Momentum on XETRA vs DAX from 2000 to 2025.
Growth of $10,000 invested in Value-Momentum on XETRA vs DAX from 2000 to 2025.

Full period summary (2002-2025):

Metric Value-Momentum DAX (^GDAXI)
CAGR 8.17% 5.06%
Excess vs DAX +3.11%
Max Drawdown -39.90%
Sharpe Ratio 0.387
Sortino Ratio 0.661
Up Capture 89.19% 100%
Down Capture 47.86% 100%
Beta 0.686 1.0
Alpha 4.07%
Win Rate 56.86%
Cash Periods 5 of 51
Avg Stocks 28.0

The +3.11% excess over the DAX shows the value-momentum screen adds real alpha in this market. Down capture of 47.86% is among the lowest in the study: when the DAX fell, this portfolio absorbed less than half the loss. The steady accumulation of alpha across most periods makes it a useful component of a multi-exchange allocation.

Value-Momentum Germany vs DAX annual returns from 2000 to 2025.
Value-Momentum Germany vs DAX annual returns from 2000 to 2025.

Year-by-year results:

Year Value-Momentum DAX Notes
2000 0.00% -6.83% Cash
2001 0.00% -17.84% Cash
2002 -15.74% -39.92% First invested year, fell less than DAX
2003 +27.28% +29.42%
2004 +12.62% +6.79%
2005 +47.50% +26.99% Best year
2006 +25.96% +22.59%
2007 +13.10% +18.98%
2008 -32.75% -37.44% Lost less than the DAX
2009 +23.59% +21.62%
2010 +19.63% +15.57%
2011 -11.76% -13.08% Eurozone sovereign debt crisis
2012 +11.86% +28.03%
2013 +31.28% +20.84%
2014 +21.23% +3.88%
2015 +11.46% +5.31%
2016 +11.82% +12.79%
2017 +14.24% +10.98%
2018 -8.43% -17.80% Lost less than DAX
2019 +9.99% +26.52%
2020 -8.88% +2.55% COVID impact
2021 +23.01% +16.71%
2022 -7.50% -12.18% Outperformed during rate shock
2023 +7.72% +19.19%
2024 -4.71% +19.41%
2025 +22.52% +18.80% YTD

Key Observations

Germany's Mittelstand fits the value-momentum screen. Germany's economy is built on mid-cap industrial companies: precision engineering, automotive suppliers, specialty chemicals, healthcare equipment. These businesses trade at reasonable P/E ratios, maintain strong ROE through operational excellence, and keep leverage low. The value-momentum screen naturally gravitates toward this profile. The 2005 result (+47.50%) and the steady mid-teens returns from 2013-2015 (+31.28%, +21.23%, +11.46%) reflect periods when Germany's industrial base was firing on all cylinders.

2008: -32.75%. The P/E < 20 filter kept the portfolio out of the overpriced financial stocks that suffered worst. German industrial companies, while cyclical, had more conservative balance sheets. The D/E < 1.0 filter reinforced this. Still, the -39.90% max drawdown shows the strategy took heavy losses during the crisis.

2022: -7.50%. Germany's value portfolio of industrials and consumer companies absorbed the rate shock with a modest loss. This was one of the strategy's better defensive showings.

Limitations

Returns are in EUR. The euro has fluctuated against the US dollar over this period, ranging from rough parity to $1.60. International investors face currency risk, though EUR/USD has been more stable than most emerging market currencies.

+3.11% excess vs the DAX is solid but not spectacular. After transaction costs, some of this excess narrows. The case for Germany is a combination of reasonable alpha and a market structure that suits the value-momentum screen.

Win rate is 56.86%. The portfolio outperforms the DAX more often than not, with down capture of 47.86% adding meaningful asymmetry.

5 cash periods. All in 2000-2001 and a few scattered later periods. Data coverage is solid from 2002 onward.

Eurozone integration risk. Germany's economy is deeply embedded in the eurozone. ECB policy, southern European sovereign risk, and EU regulatory changes all affect the portfolio. The 2011 eurozone crisis showed this clearly (-11.76%).

Takeaway

Value-momentum on XETRA produced 8.17% CAGR with +3.11% excess over the DAX. Germany's industrial economy generates a natural supply of the companies this screen selects: profitable mid-caps with reasonable valuations and conservative balance sheets. The 47.86% down capture vs DAX means the strategy absorbs less than half of local index drawdowns, making it a useful defensive component of a multi-exchange portfolio.

Part of a Series


Data: Ceta Research. FMP financial data warehouse, 2000-2025.

Past performance does not guarantee future results. This is research content, not investment advice.