Value-Momentum on Swedish Stocks: 9.67% CAGR, +6.75% Alpha vs OMX Stockholm 30

Value-momentum composite on Stockholm Exchange from 2003 to 2025. 9.67% CAGR with +6.75% alpha vs the OMX30, 58% down capture, and a 0.697 Sortino ratio.

Growth of $10,000 invested in Value-Momentum on STO vs OMX Stockholm 30.

Sweden's industrial base is a natural fit for value-momentum screening. Companies like Atlas Copco, Sandvik, and Volvo are the kind of businesses that show up in value screens: cyclical earnings, reasonable leverage, and strong returns on equity when the cycle cooperates. The momentum overlay captures the ones currently in an earnings upcycle.

Contents

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

9.67% CAGR from 2003 to 2025. 6.75% excess over the OMX Stockholm 30. The Sortino ratio of 0.697, which adjusts for downside risk only, is among the highest of any exchange in the study.

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


Method

Parameter Value
Universe STO (Stockholm Stock 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 > 5B SEK (~$460M USD)
Data source FMP via Ceta Research warehouse
Execution Next-day close (MOC execution model)
Transaction costs Size-tiered (0.1-0.5% one-way)
Benchmark OMX Stockholm 30 (^OMXS30)
Period 2000-2025 (effective: 2003-2025)

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

The Screen

-- Value-Momentum Sweden (STO) Screen
-- Run at: cetaresearch.com/data-explorer?q=5kRnpr9Boz

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 > 5e9
    AND p.exchange IN ('STO')
ORDER BY f.priceToEarningsRatioTTM ASC
LIMIT 100

What We Found

Growth of $10,000 invested in Value-Momentum on STO vs OMX Stockholm 30 from 2000 to 2025.
Growth of $10,000 invested in Value-Momentum on STO vs OMX Stockholm 30 from 2000 to 2025.

Full period summary (2003-2025):

Metric Value-Momentum OMX Stockholm 30 (^OMXS30)
CAGR 9.67% 2.92%
Total Return 952.82%
Max Drawdown -50.39%
Volatility 18.94%
Sharpe Ratio 0.405
Sortino Ratio 0.697
Up Capture 124.59% 100%
Down Capture 58.29% 100%
Beta 0.856 1.0
Alpha 6.89%
Win Rate 62.75%
Cash Periods 7 of 51
Avg Stocks 27.5

The down capture of 58.29% is the highlight. When the OMX30 fell, this portfolio absorbed about three-fifths of the decline. Combined with 124.59% up capture, the asymmetry is strong: the strategy participates more in rallies and cushions the falls.

Value-Momentum Sweden vs OMX Stockholm 30 annual returns from 2000 to 2025.
Value-Momentum Sweden vs OMX Stockholm 30 annual returns from 2000 to 2025.

Year-by-year results:

Year Value-Momentum OMX30 Notes
2000 0.00% Cash
2001 0.00% Cash
2002 0.00% Cash
2003 +12.43% +25.19% First invested year
2004 +14.23% +16.03%
2005 +45.44% +28.84%
2006 +37.75% +20.84%
2007 -7.96% -9.08% Beat index in downturn
2008 -36.31% -34.45%
2009 +46.05% +38.89%
2010 +26.23% +22.14%
2011 -17.96% -15.08% Eurozone crisis spill
2012 +17.06% +13.06%
2013 +24.70% +17.20%
2014 +21.26% +10.53%
2015 +19.09% -4.74% OMX30 fell, portfolio +19%
2016 +21.67% +9.50%
2017 +3.52% +3.47%
2018 -17.41% -11.01%
2019 +45.02% +28.65% Best year
2020 +17.55% +4.80%
2021 +28.89% +28.95% Matched the index
2022 -23.90% -15.07% Worst relative year
2023 +9.81% +15.38%
2024 +8.02% +4.76%
2025 +6.10% +0.54% YTD

Key Observations

Sweden's industrial base fits the value-momentum profile. The Stockholm exchange is weighted toward industrials, healthcare, and financial services. These sectors produce the kind of companies the screen targets: reasonable P/E ratios during cyclical troughs, strong ROE from efficient capital allocation, and manageable debt levels. The 2005-2006 period (+45.44%, +37.75%) and the 2019 result (+45.02%) coincide with Swedish industrial upcycles where momentum captured the leaders.

The 2019 result deserves attention. +45.02% was the best single year. Swedish krona weakness made Swedish exporters more competitive, and the portfolio likely concentrated in industrials benefiting from strong order books. This was also a broad global recovery year after the 2018 selloff, and momentum naturally selected the companies bouncing hardest.

62.75% win rate and 58% down capture. The portfolio won nearly two-thirds of semi-annual periods against the OMX30, and when it lost, it absorbed only 58% of the decline. The combination of high win rate and low down capture is the strongest argument for this strategy in Sweden.

Limitations

Returns are in SEK. The Swedish krona has been volatile against the US dollar. International investors face currency risk. The 9.67% CAGR is a local-currency figure.

Eurozone correlation. Sweden isn't in the eurozone but its economy is deeply integrated with the EU. European macro shocks (2011 sovereign debt crisis, 2022 rate shock) pass through directly.

-50.39% max drawdown is severe. Even with 58% down capture overall, the 2008 crash and 2022 drawdown hit hard.

7 cash periods. Data coverage pre-2003 is sparse.

Takeaway

Value-momentum on Stockholm produced 9.67% CAGR with 6.89% annual alpha vs the OMX30 over 22 effective years. The 58% down capture and 62.75% win rate make the case: the strategy reliably beats the local index with less downside participation. Sweden's industrial economy produces a steady supply of the kind of companies this screen targets, reasonably priced, profitable, and low-leverage businesses in cyclical sectors.

Part of a Series


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