Pairs Trading in Japan: Why the Tokyo Stock Exchange Consistently

Growth of $10,000 in Pairs Trading Japan vs S&P 500, 2005-2024. Japan pairs portfolio grew to $11,296; SPY grew to $65,274.

We ran the same pairs trading strategy on 12 exchanges from 2005 to 2024. Every single market generated near-zero or negative nominal returns. One exception stands out: Japan.

Contents

  1. Method
  2. Japan Results (2005-2024)
  3. The Charts
  4. Why Japan Works Better
  5. The Benchmark Comparison
  6. Limitations
  7. Takeaway

Japan (JPX) produced a positive Sharpe ratio (+0.141), the highest investment rate globally (95% of years with active pairs), and a 0.61% CAGR vs -0.83% for Germany, -0.90% for Korea, and -1.85% for Taiwan. That's not alpha, it's still well below SPY's 10.01%. But the consistency and investment rate tell a different story about market structure.

Here's what the data shows and why Japan behaves differently.


Method

  • Data source: Ceta Research (FMP financial data, 70K+ stocks)
  • Universe: Top 30 stocks per sector by market cap (JPX, market cap > ¥10B)
  • Pair selection: Same sector, 252-day returns correlation > 0.70, top 20 pairs
  • Entry signal: |z-score| > 1.5 at year-end
  • Return model: Equal-dollar pairs return = -sign(z) × (Return_A - Return_B) / 2
  • Rebalancing: Annual, 2005-2024
  • Costs: 4 one-way legs per pair

Japan Results (2005-2024)

Metric Japan (JPX) US (NYSE+NASDAQ+AMEX)
CAGR 0.61% 0.33%
vs SPY -9.40% -9.68%
Sharpe ratio +0.141 -0.407
Max drawdown -10.61% -12.99%
Cash periods 1/20 (5%) 5/20 (25%)
Avg active pairs 6.3 5.2
Total return (20yr) +13.02% +6.76%

Japan has the only positive Sharpe ratio across all 12 exchanges. The max drawdown of -10.61% is among the smallest. And the investment rate is remarkable: 19 out of 20 years had enough qualifying pairs to be invested.

Annual returns:

Year Japan Pairs SPY Excess
2005 +4.3% +7.2% -2.9%
2006 +5.2% +13.7% -8.4%
2007 -1.5% +5.3% -6.8%
2008 +0.3% -36.2% +36.6%
2009 +6.3% +22.7% -16.4%
2010 -7.2% +13.1% -20.3%
2011 -0.7% +2.5% -3.1%
2012 -3.0% +14.2% -17.2%
2013 +0.9% +29.0% -28.1%
2014 +0.1% +14.6% -14.5%
2015 +0.6% +1.3% -0.7%
2016 +1.9% +14.5% -12.6%
2017 +0.4% +21.6% -21.3%
2018 +0.7% -5.3% +5.9%
2019 0% (cash) +31.1% -31.1%
2020 +2.8% +17.2% -14.4%
2021 +6.3% +30.5% -24.3%
2022 -5.7% -19.0% +13.3%
2023 -2.7% +26.0% -28.7%
2024 +4.7% +25.6% -20.9%

Positive excess in 2008 (+36.6%), 2018 (+5.9%), and 2022 (+13.3%), all three years the S&P 500 fell. This is the market-neutral property in action: when equity correlations break down in a crash, offsetting long/short positions hold up.

Only one cash period (2019), where only 2 pairs met the z-score threshold. Every other year, Japan had 3 or more active pairs.


The Charts

Cumulative growth: Pairs Japan vs SPY, 2005-2024
Cumulative growth: Pairs Japan vs SPY, 2005-2024

$10,000 in Japan pairs grew to $11,296 over 20 years. SPY grew to $65,274. The pairs portfolio is mostly flat, but it's flat with low volatility and near-zero equity beta.

Annual returns: Pairs Japan vs SPY, 2005-2024
Annual returns: Pairs Japan vs SPY, 2005-2024

Japan's best years for the pairs strategy are equity markets' worst years (2008, 2018, 2022). Most bull market years show modest positive returns rather than the full cash periods seen in the US.


Why Japan Works Better

The Japan data raises an obvious question: what's structurally different about JPX that produces higher investment rates and the only positive Sharpe across 12 exchanges?

Keiretsu cross-shareholding. Japan's corporate structure involves extensive cross-shareholding between related companies through keiretsu networks. Toyota and its suppliers. Mitsubishi Group members across banking, trading, and manufacturing. Sony and its component suppliers. These companies hold shares in each other and have interlocking directorates.

This creates stable, economically grounded correlations between related stocks. When Toyota's stock moves, its tier-1 suppliers move similarly, not just because of market beta, but because of genuine shared business exposure. The spread between two keiretsu-linked companies is more likely to mean-revert than a random pair that happened to correlate over a one-year period.

Higher intra-sector correlation generally. Japan's economy is characterized by large conglomerate groups operating across related industries. The financial, automotive, electronics, and materials sectors all have deep intra-sector linkages. This produces more pairs that meet the 0.70 correlation threshold in any given year.

Lower market efficiency in some sectors. Japan has historically lagged the US in institutional adoption of quantitative strategies. Some of the arbitrage that algorithmic funds compressed in the US market by 2005 may have persisted longer in Japan.

Lower cash periods. US had 25% cash periods (5/20 years). Japan had 5% (1/20 years). Japan consistently generated enough qualifying pairs to be invested. The z-score threshold was met almost every year.


The Benchmark Comparison

Japan's pairs portfolio (0.61% CAGR) still dramatically underperforms SPY (10.01%). But that comparison isn't quite right for a market-neutral strategy.

JPX itself gained substantially over this period (Nikkei 225 approximately doubled from 2005 to 2024). A pairs strategy in Japan isn't meant to compete with buying and holding Japanese equities.

The relevant comparison is: 1. vs T-bills: Japan averaged ~0.1% short-term rates over this period (near-zero policy rates throughout). Against T-bills, 0.61% looks better, it outperformed the risk-free rate. 2. vs US pairs (0.33% CAGR): Japan outperformed by 0.28% annually. 3. Sharpe ratio (+0.141 vs -0.407): Japan generated positive risk-adjusted return. The US didn't.

None of these make Japan pairs trading look like a compelling standalone strategy. But as a market-neutral sleeve in a larger portfolio, Japan's consistency and positive Sharpe are meaningful compared to the global picture.


Limitations

Currency effects. Returns are computed in local currency (JPY) and compared to SPY in USD. During periods of yen depreciation (2013-2015, 2022-2024), a USD investor would have earned less. Yen appreciation (2008-2012) would have added returns. Currency effects aren't modeled.

Short-selling. Japanese short-selling is generally permitted for large-cap stocks but can be restricted during market stress periods. Borrowing costs aren't separately modeled.

Survivorship bias. Currently active JPX stocks only. Companies delisted during the period are excluded.

Keiretsu relationships evolve. Cross-shareholding arrangements have been gradually unwinding since the 1990s. Future Japan correlations may be weaker than historical ones as keiretsu structures continue to dissolve.


Takeaway

Japan is the best market for pairs trading across the 12 exchanges we tested. That doesn't mean it's a great standalone strategy, 0.61% CAGR is still well below any reasonable equity or fixed income benchmark. But the structural reasons are real: keiretsu cross-shareholding creates stable, economically grounded correlations that make the strategy consistently investable.

The key metric is Sharpe ratio (+0.141 vs negative everywhere else) and investment rate (95% vs 75% in the US). Japan pairs trading does what the theory says it should: generate steady low-volatility returns that don't depend on equity market direction.

The global comparison blog covers all 12 exchanges side by side.


Part of a Series: Global | Backtest Global Results | Fundamentals | US | US | US | Japan

Run It Yourself

Explore the data behind this analysis on Ceta Research. Query our financial data warehouse with SQL, build custom screens, and run your own backtests across 70,000+ stocks on 20 exchanges.

Data: Ceta Research, FMP warehouse, JPX stock_eod + profile + key_metrics Note: Past performance doesn't guarantee future results. This is educational content, not investment advice. Backtest code: github.com/ceta-research/backtests

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