iShares MSCI Ireland ETF (EIRL.US)

10-Year Study

EIRL.US · US · ETF

Fundamental Snapshot

iShares MSCI Ireland ETF (EIRL.US) charges an annual expense ratio of low annual fee, manages approximately institutional assets in net assets, and maintains a portfolio of diversified basket of holdings.

Executive Summary: iShares MSCI Ireland ETF has compounded at 8.9% annually over the last 10 years, with a maximum drawdown of 39.2% and an annualized volatility of 22.7%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+19.4%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+13.0%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+6.6%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+8.9%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2016-06-01$10,000
2016-07-01$10,378
2016-08-01$10,826
2016-09-01$10,576
2016-10-01$10,079
2016-11-01$10,128
2016-12-01$10,499
2017-01-01$10,785
2017-02-01$10,967
2017-03-01$11,207
2017-04-01$11,792
2017-05-01$12,212
2017-06-01$12,277
2017-07-01$12,387
2017-08-01$12,351
2017-09-01$13,050
2017-10-01$13,118
2017-11-01$13,064
2017-12-01$13,630
2018-01-01$13,934
2018-02-01$13,091
2018-03-01$13,270
2018-04-01$13,358
2018-05-01$13,764
2018-06-01$13,566
2018-07-01$13,491
2018-08-01$13,233
2018-09-01$12,918
2018-10-01$11,812
2018-11-01$11,335
2018-12-01$10,642
2019-01-01$11,486
2019-02-01$11,931
2019-03-01$11,972
2019-04-01$12,431
2019-05-01$11,860
2019-06-01$12,125
2019-07-01$11,796
2019-08-01$11,537
2019-09-01$11,936
2019-10-01$12,574
2019-11-01$13,119
2019-12-01$13,637
2020-01-01$13,061
2020-02-01$11,947
2020-03-01$9,244
2020-04-01$10,194
2020-05-01$10,835
2020-06-01$11,203
2020-07-01$11,843
2020-08-01$12,564
2020-09-01$11,857
2020-10-01$12,132
2020-11-01$14,020
2020-12-01$14,950
2021-01-01$14,275
2021-02-01$15,121
2021-03-01$16,288
2021-04-01$17,108
2021-05-01$17,773
2021-06-01$17,093
2021-07-01$17,347
2021-08-01$18,374
2021-09-01$17,322
2021-10-01$17,623
2021-11-01$15,603
2021-12-01$17,002
2022-01-01$16,622
2022-02-01$15,398
2022-03-01$14,249
2022-04-01$13,834
2022-05-01$14,177
2022-06-01$12,125
2022-07-01$12,966
2022-08-01$12,747
2022-09-01$11,178
2022-10-01$12,611
2022-11-01$14,025
2022-12-01$13,800
2023-01-01$15,741
2023-02-01$15,729
2023-03-01$16,567
2023-04-01$17,023
2023-05-01$16,586
2023-06-01$17,532
2023-07-01$18,266
2023-08-01$17,653
2023-09-01$16,441
2023-10-01$15,771
2023-11-01$17,373
2023-12-01$18,648
2024-01-01$18,992
2024-02-01$20,166
2024-03-01$21,152
2024-04-01$20,307
2024-05-01$21,427
2024-06-01$19,888
2024-07-01$21,464
2024-08-01$21,451
2024-09-01$21,185
2024-10-01$19,418
2024-11-01$18,627
2024-12-01$18,343
2025-01-01$18,693
2025-02-01$18,913
2025-03-01$18,465
2025-04-01$19,261
2025-05-01$20,528
2025-06-01$21,347
2025-07-01$20,877
2025-08-01$21,429
2025-09-01$21,471
2025-10-01$21,723
2025-11-01$23,180
2025-12-01$23,629
2026-01-01$24,230
2026-02-01$24,172
2026-03-01$22,108
2026-07-01$25,204
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
39.2%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
0.37
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
0.52
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
20.7%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +35.1%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2018 · -21.9%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
70%

Annual Returns

View full annual returns data
YearReturn
201729.8%
2018-21.9%
201928.1%
20209.6%
202113.7%
2022-18.8%
202335.1%
2024-1.6%
202528.8%
20266.7%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.5-0.2-8.514.06.7%
20251.91.2-2.44.36.64.0-2.22.60.21.26.71.928.8%
20241.86.24.9-4.05.5-7.27.9-0.1-1.2-8.3-4.1-1.5-1.6%
202314.1-0.15.32.8-2.65.74.2-3.4-6.9-4.110.27.335.1%
2022-2.2-7.4-7.5-2.92.5-14.56.9-1.7-12.312.811.2-1.6-18.8%
2021-4.55.97.75.03.9-3.81.55.9-5.71.7-11.59.013.7%
2020-4.2-8.5-22.610.36.33.45.76.1-5.62.315.66.69.6%
20197.93.90.33.8-4.62.2-2.7-2.23.55.34.34.028.1%
20182.2-6.11.40.73.0-1.4-0.5-1.9-2.4-8.6-4.0-6.1-21.9%
20172.71.72.25.23.60.50.9-0.35.70.5-0.44.329.8%
20163.84.3-2.3-4.70.53.75.0%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
22.7%
View full factor risk breakdown
FactorRisk Exposure
VTI.US6.6%
VEA.US43.4%
VWO.US0.9%
QQQ.US-10.4%
VTV.US0.3%
IJR.US-0.4%
QUAL.US9.2%
SHV.US40.2%
TLT.US1.1%
LQD.US-4.7%
HYG.US10.8%
GLD.US-2.5%
USO.US-0.1%
VNQ.US-5.0%
BTC-USD.CC-0.0%
CPER.US0.3%
VIX.INDX-2.0%
UUP.US-0.2%
TIP.US2.4%
Idiosyncratic10.3%

iShares MSCI Ireland ETF ETF Profile & Portfolio Fundamentals

Detailed fund structure, fee metrics, portfolio-level valuation, and asset distribution statistics.

Fund Structure & Fees

Distribution Yield
2.4%

Portfolio Valuation Multiples

Portfolio P/E Ratio12.27x
Portfolio Forward P/E12.27x
Portfolio Price-to-Sales
Portfolio Price-to-Book

Market Sentiment & Squeeze Risk

Short Squeeze RiskLow

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$0
Avg Yield on Cost
0.00%

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+6.9%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
+12.7%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
1.8% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
0.90
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Golden Cross
Bullish — 50 SMA above 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
78
OversoldNeutralOverbought
Overbought
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement+13.3%
50.0% retracement+18.9%
61.8% retracement+25.2%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

EIRL.US — 10-Year Return & Risk Profile

iShares MSCI Ireland ETF (EIRL.US) has delivered solid annualized growth of 8.9% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $23,452, representing a total return of 135%. Over this period, EIRL.US generated positive annual returns in 7 out of 10 calendar years (70%).

The best single calendar year for EIRL.US was 2023, with a return of +35.1%. The worst year was 2018, when the asset declined 21.9%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of 0.37 is considered weak on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

EIRL.US — Drawdown, Volatility & Downside Risk

EIRL.US's annualized volatility of 20.7% is classified as elevated relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in EIRL.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 39.2% — a severe bear-market collapse. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 39% drawdown, for example, requires a 64% gain just to break even.

When evaluating EIRL.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

EIRL.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 43.4% of EIRL.US's return variance to Developed Market Equities (ex-US). This means that when Developed Market Equities (ex-US) rises or falls sharply, EIRL.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their EIRL.US allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 40.2% of variance. 10.3% of EIRL.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding EIRL.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding EIRL.US alongside assets with low correlation to Developed Market Equities (ex-US) — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is iShares MSCI Ireland ETF a high-risk investment?

iShares MSCI Ireland ETF (EIRL.US) has an annualized volatility of 22.7% and experienced a maximum drawdown of 39.2% over the last 10 years. Its primary macro risk driver is VEA.US.

What is the 10-year return of EIRL.US?

Over the past 10 years, EIRL.US has generated a Compound Annual Growth Rate (CAGR) of 8.9%. A $10,000 investment would have grown to approximately $23,452. It has had a positive return in 70% of calendar years.

What is EIRL.US's Sharpe ratio?

EIRL.US has a Sharpe ratio of 0.37 and a Sortino ratio of 0.52 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is EIRL.US's dividend yield?

EIRL.US has an average trailing dividend yield of 2.41%. On a $10,000 initial investment, it generated approximately $0 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is EIRL.US above its 200-day moving average?

EIRL.US is currently above its 200-day moving average by 12.7%. The current trend signal is: Bullish — 50 SMA above 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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