DuPont ROE Korea: Leverage Loses 2% Per Year, Quality Beats KOSPI (2000-2025)

DuPont ROE decomposition on KSC from 2000 to 2025. Quality ROE returned 5.51% CAGR, beating KOSPI at 4.44%. Leverage-driven ROE lost 1.97% annually. Margin-to-leverage spread of +5.7%. Chaebol discount is measurable over 25 years.

Korea is one of the clearest illustrations of the DuPont thesis. Quality ROE returned 5.51% annually on KSC from 2000 to 2025, edging the KOSPI at 4.44%. The margin-to-leverage spread of +5.7% is wide. Margin-driven stocks at 3.70% CAGR weren't impressive in absolute terms, but leverage-driven stocks at -1.97% confirm what the data shows repeatedly: leveraged Korean companies destroy value over the long run.

Contents

  1. Method
  2. What is DuPont Analysis?
  3. The Screen
  4. What We Found
  5. Margin beats leverage by 5.7%, but neither is exciting in absolute terms.
  6. Why leverage destroys value in Korea
  7. The thin universe problem
  8. Backtest Methodology
  9. Limitations
  10. Takeaway
  11. Part of a Series
  12. References

The chaebol structure explains most of this. Korean conglomerates use leverage across opaque cross-holdings. Markets discount that complexity. Margin-driven companies, concentrated in semiconductors and consumer electronics, earn cleaner returns with less financial engineering.

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


Method

Parameter Value
Universe KSC (Korea Stock Exchange), market cap > KRW 500B (~$370M)
Exclusions Financials, utilities
Signal DuPont decomposition from annual FY data
Classification Top quartile net margin within ROE > 15% = margin-driven. Top quartile equity multiplier within ROE > 15% = leverage-driven. Quality = balanced
Rebalance Annual, April (45-day lag after fiscal year end)
Holding period 12 months
Portfolio Equal-weight
Benchmark KOSPI (price index)
Period 2000-2025

DuPont components were computed from raw annual financial statements. The screening SQL uses TTM data for live analysis, but the backtest uses fiscal year data with a 45-day filing lag.


What is DuPont Analysis?

ROE measures profit per dollar of equity. Two companies with identical 20% ROE can have entirely different risk profiles underneath.

DuPont breaks ROE into three components:

ROE = Net Profit Margin x Asset Turnover x Equity Multiplier

  • Net Profit Margin (Net Income / Revenue): Profitability per unit of revenue. Samsung Electronics runs around 15%. A Korean conglomerate's manufacturing arm might run 3%.
  • Asset Turnover (Revenue / Total Assets): How efficiently assets generate sales. Consumer-facing companies turn assets faster than capital-intensive industrials.
  • Equity Multiplier (Total Assets / Shareholders' Equity): Leverage. Higher means more debt-funded assets.

Korea's corporate structure makes the DuPont decomposition particularly revealing. The chaebol system creates conglomerates with cross-shareholdings, internal capital markets, and leverage that's hard to trace. A high ROE from a leveraged Korean conglomerate looks very different from a high ROE at a focused semiconductor or consumer brand.


The Screen

-- DuPont ROE Quality Screen: Korea (KSC)
-- Margin-driven quality: high ROE from profitability, not leverage

SELECT
    k.symbol,
    p.companyName,
    p.sector,
    k.returnOnEquityTTM * 100 AS roe_pct,
    f.netProfitMarginTTM * 100 AS net_margin_pct,
    f.assetTurnoverTTM,
    (1 + f.debtToEquityRatioTTM) AS equity_multiplier,
    p.marketCap / 1e12 AS market_cap_t_krw
FROM key_metrics_ttm k
JOIN financial_ratios_ttm f ON k.symbol = f.symbol
JOIN profile p ON k.symbol = p.symbol
WHERE p.exchange = 'KSC'
  AND k.returnOnEquityTTM > 0.15
  AND (1 + f.debtToEquityRatioTTM) < 3.0
  AND f.netProfitMarginTTM > 0.08
  AND p.marketCap > 500000000000
  AND p.sector NOT IN ('Financial Services', 'Utilities')
  AND p.isActivelyTrading = true
  AND p.isFund = false
  AND p.isEtf = false
  AND p.isActivelyTrading = true
QUALIFY ROW_NUMBER() OVER (PARTITION BY p.companyName
                           ORDER BY p.averageVolume DESC) = 1
ORDER BY f.netProfitMarginTTM DESC
LIMIT 30

The screen surfaces Samsung Electronics, SK Hynix, and niche exporters with genuine margin quality. Korean companies that pass both the ROE > 15% and low-leverage filters tend to be sector leaders with genuine competitive moats, not conglomerate subsidiaries using internal leverage.


What We Found

Growth of $10,000 invested in DuPont ROE portfolios on Korean stocks vs KOSPI from 2000 to 2025.
Growth of $10,000 invested in DuPont ROE portfolios on Korean stocks vs KOSPI from 2000 to 2025.

Margin beats leverage by 5.7%, but neither is exciting in absolute terms.

Portfolio CAGR vs KOSPI
Quality ROE (balanced) 5.51% +1.07%
All ROE > 15% 3.97% -0.47%
Margin-Driven ROE > 15% 3.70% -0.74%
KOSPI 4.44% --
Leverage-Driven ROE > 15% -1.97% -6.41%

Quality ROE at 5.51% beats the KOSPI by +1.07%. That's real but modest outperformance. More striking is the leverage-driven result: -1.97% CAGR over 25 years. Leverage-seeking Korean stocks didn't just underperform. They lost money in absolute terms while the KOSPI returned 4.44%.

The margin-to-leverage spread of +5.7% ranks among the wider gaps in our global dataset. In Korea, choosing between margin and leverage quality isn't splitting hairs. It's the difference between 3.70% and -1.97%.

Why leverage destroys value in Korea

The chaebol structure concentrates leverage risk in ways the equity multiplier doesn't fully capture. Korean conglomerates borrow across subsidiaries, cross-guarantee debts, and allocate capital through internal markets rather than competitive pressure. When the group runs into stress, the leverage cascades in ways external investors can't easily model.

The 1997 Asian financial crisis is the extreme example. Highly leveraged chaebols collapsed entirely. But even in normal years, the market discount for opaque leverage in Korean conglomerates shows up in the returns data. Leverage-driven ROE > 15% stocks averaged -1.97% annually over the full 25-year period.

The win rate against KOSPI was 48%, and down capture was 57.2%. Quality ROE stocks fell only 57% as much as KOSPI in down years, which partly explains the outperformance: better drawdown control.

The thin universe problem

The average portfolio held 18 quality stocks. That's below the threshold where we'd call the signal statistically robust. Korea's large-cap universe is narrow after excluding financials and utilities, and the quality filters cut it further. The Sharpe of 0.105 and MaxDD of -41.5% reflect the limited diversification.

Results are directional, not high-confidence. The margin-over-leverage signal in Korea is consistent with the structural story, but 18 stocks per period means a few major positions drive the outcome in any given year.


Backtest Methodology

Parameter Choice
Universe KSC, market cap > KRW 500B (~$370M), excl. financials/utilities
Signal DuPont decomposition from annual FY data
Classification Top quartile net margin within ROE > 15% = margin-driven. Top quartile equity multiplier within ROE > 15% = leverage-driven
Quality ROE ROE > 15%, equity multiplier < 3.0, net margin > 8%
Rebalance Annual (April, 45-day lag after fiscal year end)
Holding period 12 months
Portfolio size Equal weight
Transaction costs 0.1-0.5% per trade (size-tiered)
Survivorship bias Mitigated via point-in-time financial data
Look-ahead bias 45-day lag on all fundamental data
Benchmark KOSPI (price index)
Avg stocks (Quality ROE) ~18 per period
Sharpe (Quality ROE) 0.105
Max Drawdown -41.5%
Down Capture vs KOSPI 57.2%
Win Rate vs KOSPI 48%

Limitations

Small universe. 18 stocks per period is too thin for high-confidence conclusions. The results are directional evidence, not a statistically robust backtest. Individual company outcomes drive multi-year performance in ways that won't repeat identically.

Chaebol complexity. The equity multiplier captures reported leverage, but it doesn't capture cross-subsidiary guarantees, off-balance-sheet commitments, or the effective leverage exposure through conglomerate structures. The screen likely underestimates the true financial risk in leverage-classified Korean companies.

Currency effects. Returns are in KRW. The KRW/USD exchange rate moved significantly over 25 years, particularly during the 1997-1998 crisis and the 2008-2009 period. International investors saw different absolute returns than domestic ones.

Transaction costs. Korean markets have reasonable liquidity for large-caps but can be expensive for mid-caps. The 0.1-0.5% size-tiered cost assumption may understate actual implementation costs for the smaller end of the universe.

Sector concentration. Quality-passing Korean stocks skew heavily toward semiconductors and select consumer brands. The portfolio's behavior often reflects those sector dynamics more than the DuPont signal itself.


Takeaway

Korea confirms the DuPont thesis with unusual clarity. Leveraged Korean stocks returned -1.97% annually. Margin-driven stocks returned 3.70%. Quality ROE at 5.51% beats the KOSPI by +1.07%.

The lesson isn't that Korean stocks are attractive. In absolute terms, the returns are modest. The lesson is that leverage classification in Korea has real predictive power. Avoiding leverage-driven Korean equities, specifically companies where ROE is driven by equity multipliers rather than margins, is a genuine risk reduction. The chaebol discount is measurable over 25 years.

For Korea-focused investors: screen hard on leverage. The DuPont decomposition won't make Korean equities into a high-return market, but it'll keep you away from the worst performers.


Part of a Series

This analysis is part of our DuPont ROE global exchange comparison: - DuPont ROE on US Stocks -- full methodology - DuPont ROE on German Stocks -- +1.77% excess vs DAX - DuPont ROE: Global Comparison -- all 13 exchanges


References

  • Soliman, M.T. (2008). "The Use of DuPont Analysis by Market Participants." The Accounting Review, 83(3), 823-853.
  • Fairfield, P.M. and Yohn, T.L. (2001). "Using Asset Turnover and Profit Margin to Forecast Changes in Profitability." Review of Accounting Studies, 6(4), 371-385.
  • Chang, S.J. (2003). Financial Crisis and Transformation of Korean Business Groups. Cambridge University Press.

Data: Ceta Research (FMP financial data warehouse), 2000-2025. Annual April rebalance, equal weight, 0.1-0.5% transaction costs (size-tiered). Past performance is not indicative of future results.


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