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JPJP
+5.20 · +9.65%
£59.08 · LSE
SPDR® MSCI Japan UCITS ETF | Japan Large-Cap Blend Equity
State Street Global Advisors Europe Limited · Ireland
AUM:£152.9B
#– of – in Japan Large-Cap Blend Equity ETFs
ℹ️
Reward Rating
68
Good
33.86% 1Y return
ℹ️
Risk Rating
48
Moderate
Risk Assessment
ℹ️

Educational tool only – Scores are based on historical data, holdings and expense metrics for informational purposes. This is not financial advice or a recommendation to buy or sell any security. Always conduct your own research or consult a qualified financial adviser.

Market Performance

📈 Up 33.9% over the past year, reflecting strong price momentum.

Cost Efficiency

💰 Ongoing charge of 0.12% — among the lowest available for this category.

What is JPJP?

SPDR® MSCI Japan UCITS ETF tracks Morningstar Japan TME NR JPY, providing diversified exposure across 50 holdings. Its ongoing charge is 0.12%.

Performance Highlights

Investment Breakdown

Strong Recent Performance
JPJP delivered 33.9% over the past year. Historical returns only — past performance is not indicative of future results.
Competitive Ongoing Charge
Ongoing charge of 0.12% — reasonable for the index exposure provided.
Broadly Diversified
Top 10 holdings represent just 29.1% of the ETF — exposure spread across many positions.

Openbook Analysis

Performance: Good (68)

The scoring profile reflects moderate historical performance, with a 33.9% 1-year return (historical). The ongoing charge of 0.12% is reasonable for this exposure. Risk indicators are moderate, in line with typical market exposure (historical).

For informational and educational purposes only. Not financial advice. Past performance is not indicative of future results.

ETF Information
AUM£152.9B
Ongoing Charge0.12%
Dividend Yield3.38%
Holdings50
Inception DateNov 2015
DomicileIreland
DistributionNA
IndexMorningstar Japan TME NR JPY
ProviderState Street Global Advisors Europe Limited
Beta–
CategoryJapan Large-Cap Blend Equity
CurrencyGBP
Portfolio Impact

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6168
+7 points · better diversified
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Uses ISF.L (iShares FTSE 100 ETF)
Indicators

Performance Metrics

Historical returns

6M
+14.6%
1Y
+32.1%
3Y
+58.0%
5Y
+62.7%
OpenBook InsightIf you had invested £10,000 in JPJP 5 years ago, it would have grown to £16,267 — a gain of £6,267.

Annual Returns

Calendar year performance

JPJP delivered positive returns in 4 of the last 5 calendar years.
YearJPJP
2026 YTD+15.0%
2025+15.7%
2024+8.9%
2023+12.9%
2022-8.4%
CAGR 4yr+6.8%
4/5 positive yearsAvg return: +8.8%Worst year: -8.4% (2022)

Technical Analysis Summary

Automated insights from historical price action and indicators

Technical Regime: POSITIVE
Trend Strength
100%
Positive
Volatility
14.9%
Low
Momentum
+4.7%
30-day change
Support Level
59.97
Key floor
Key Insights
  • Price is currently trading above all key moving averages.
  • Low volatility environment with a narrower recent trading range.
  • Monitor key support and resistance levels as part of broader risk assessment.

Reward Rating Breakdown

Our reward rating analyses JPJP's attractiveness using 4 weighted factors. Each factor is scored 0-100, then combined using the weights shown below. Past performance does not guarantee future results.

Overall Reward Rating
68
Good REWARD
Data Coverage: %
Factor Framework
Performance
Has the ETF delivered strong historical returns versus similar ETFs?
Cost Efficiency
Is the ETF cheap to own over long periods?
Income
Does it provide attractive and consistent distributions?
Diversification Quality
Does it spread exposure across holdings, sectors, and regions?

📈 Performance

Weight: 30%
75/100

Has the ETF delivered strong historical returns versus similar ETFs? Combines 1/3/5/10-year returns with the Sharpe ratio (risk-adjusted return).

1Y Return
33.86%
Very Good
3Y Return
23.90%
Very Good
5Y Return
15.83%
Very Good
10Y Return
0.00%
Weak
Sharpe Ratio
—
No Data

Strong historical performance profile: 1-year return of 33.86%, 3-year annualised 23.90%, 5-year annualised 15.83%. Past performance is not indicative of future results.

💰 Cost Efficiency

Weight: 30%
85/100

Is the ETF cheap to own over long periods? Low ongoing charges compound into meaningful additional returns over a 10-year horizon.

Ongoing Charge
0.12%
Good
Net Expense Ratio
0.00%
Very Good
Annual Turnover
0.00%
Very Good
Tracking Difference
—
No Data

Low-cost and efficient structure: ongoing charge of 0.12%, net expense ratio of 0.00%, annual turnover of 0.0%.

💵 Income

Weight: 15%
65/100

Does the ETF provide attractive and consistent distributions? Combines the current yield with distribution frequency.

Distribution Yield
3.38%
Neutral
Distribution Frequency
NA
No Data

Reasonable income characteristics: distribution yield of 3.38%, na distributions.

🌐 Diversification Quality

Weight: 25%
40/100

Does the ETF spread exposure across many holdings, sectors, and regions? Concentrated funds can be doing exactly what they're meant to do — treat the score as context, not a verdict.

Holdings
50
Weak
Top 10 Concentration
29.10%
Neutral
Top Sector
Industrials25.4%
Neutral
Top Region
Japan100.0%
Very Weak

Concentrated but typical for its category: 50 holdings, top 10 at 29.1%, Industrials sector at 25.4%, Japan at 100.0%.

Scores are derived from fund-provider disclosures and historical data. For informational and educational purposes only — not investment advice. Past performance is not indicative of future results.

Risk Rating Breakdown

Our risk rating analyses JPJP using 4 weighted factors. A higher score indicates higher risk. This is a framework for understanding exposure — concentrated funds can still be doing exactly what they're meant to do.

Overall Risk Rating
48
Moderate RISK
Data Coverage: 83%
Factor Framework
Holdings Concentration
How much of the fund sits in its largest positions? Few dominant names mean returns ride on those companies.
Market Exposure
Geographic, sector and cyclical dependencies. High single-country or single-sector weight increases macro sensitivity.
Volatility
Historical price movement, beta and drawdowns — how sharply the fund moves relative to the market.
Income Reliability
How dependable the distribution yield is — cyclical-sector dependency and unusually high yields can flag payout risk.

🎯 Holdings Concentration

Weight: 25%
38/100

How much of the fund sits in a small number of positions? If the top holdings dominate, returns will be driven by those specific companies rather than the broader index.

Top 10 Weight
29.10%
Lower Risk
Largest Holding
4.45%
Lower Risk
Number of Holdings
50
Moderate
HHI (weight²)
91
Low Risk

Reasonable spread across positions: top 10 holdings at 29.1%, largest single position at 4.45%, 50 total holdings.

🌍 Market Exposure

Weight: 25%
72/100

How dependent is the fund on a single country, sector or economic cycle? Heavy exposure to one market means a single macro event can drive most of the return.

Top Region
Japan100.0%
High Risk
Top Sector
Industrials25.4%
Moderate
Top 2 Sectors
43.15%
Moderate
Cyclical Sectors
49.30%
Elevated

High market-exposure risk — returns closely track a narrow slice of the market: Japan at 100.0%, Industrials sector at 25.4%, 49.3% in cyclical sectors.

📊 Volatility

Weight: 35%
35/100

How sharply does the fund move day-to-day and how deep have its drawdowns been? High volatility means wider return outcomes over short horizons.

1Y Volatility
10.98%
Lower Risk
Beta
—
No Data
Max Drawdown
—
No Data

Moderate volatility in line with broad market: 1Y volatility of 10.98% (historical).

💵 Income Reliability

Weight: 15%
54/100

How dependable is the fund's distribution yield? Heavy cyclical-sector exposure or unusually high yields can flag vulnerability to dividend cuts in a downturn.

Current Yield
3.38%
Lower Risk
Cyclical Sector Exposure
49.30%
Elevated
Top-Sector Dependency
Industrials25.4%
Moderate

Income has some cyclical dependency: yield of 3.38%, 49.3% in cyclical sectors (financials, energy, materials, industrials, real estate), Industrials sector at 25.4%.

Scores are derived from fund-provider disclosures and historical data. For informational and educational purposes only — not investment advice. Risk scoring is model-based and past data does not guarantee future results.
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