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ETFs

iShares MSCI Finland ETF

EFNL
$—
Today’s Change
— (—)

Snapshot
*

Inception Date
Jan 25, 2012
Expense Ratio
0.53%
Type
Global Ex. US Equities
Fund Owner
Blackrock (iShares)
Volume (1m avg. daily)
$73,080
AUM
$19,878,337
Associated Index
MSCI Finland IMI 25/50 Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus
View

Top 10 Holdings

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NESTE
Neste Corporation
7.7%
KNEBV
Kone Corp. - Ordinary Shares - Class B
6.89%
STERV
Stora Enso Oyj - Ordinary Shares - Class R
4.54%
ELISA
Elisa Oyj - Ordinary Shares - Class A
4.29%
METSO
Metso Corp.
4.26%
WRT1V
Wartsila Oyj Abp
3.83%
FORTUM
Fortum Oyj
3.82%
Invest with EFNL
Trade EFNL Options

What is EFNL?

The iShares MSCI Finland ETF seeks investment results that correspond generally to the price and yield performance, before fees and expenses, of the MSCI Finland IMI 25/50 Index. The iShares MSCI Finland ETF seeks to track the investment results of a broad-based index composed of Finnish equities.

1M
3M
6M
YTD
1Y
3Y
Max
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EFNL
Performance Measures**

for the time period Jan 26, 2012 to Dec 4, 2025

Returns

1M Trailing Return: 3.2%

The percent change in the value over the most recent 1-month period.

3M Trailing Return: 10.8%

The percent change in the value over the most recent 3-month period.

Measures of Risk or Volatility

Max Drawdown: -38.7%

The greatest percent loss from peak to trough in value over the time period.

Standard Deviation: 20.4%

The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

Measures of Risk-Adjusted Performance

Sharpe Ratio: 0.48

The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.

Calmar Ratio: 0.21

The annualized return divided by the max drawdown for the selected time period.

ETFs related toEFNL

ETFs correlated to EFNL include IEUR, FEP, SPEU

EFNL
BlackRock Institutional Trust Company N.A. - iShares MSCI Finland ETF
IEUR
BlackRock Institutional Trust Company N.A. - iShares Core MSCI Europe ETF
FEP
First Trust Exchange-Traded Fund III - First Trust Europe AlphaDEX Fund
SPEU
SSgA Active Trust - SPDR Portfolio Europe ETF
VGK
Vanguard Group, Inc. - Vanguard FTSE Europe ETF
IDV
BlackRock Institutional Trust Company N.A. - iShares International Select Dividend ETF
SCHC
Schwab Strategic Trust - Schwab International Small-Cap Equity ETF
RODM
Lattice Strategies Trust - Hartford Multifactor Developed Markets (ex-US) ETF
BBEU
J.P.Morgan Investment Management Inc. - JPMorgan BetaBuilders Europe ETF
DFIC
Dimensional ETF Trust - Dimensional International Core Equity 2 ETF
DFIS
Dimensional ETF Trust - Dimensional International Small Cap ETF

What is ETF correlation?

Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.

Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.

Using ETF correlations in portfolio and strategy construction

ETF correlations can help you create investing strategies and portfolios. Use them to:

  • •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
  • •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
  • •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.

Trading Strategies
Related toEFNL

CQ_Developed Volatility Hedge ⚖️

Category

Global equities, developed markets, inverse-volatility, volatility targeting, country allocation, daily rebalancing

OOS Cumulative Return

26.44%

Trade The WorldJK

Category

Global equities, Momentum, Country rotation, ETF, Trend following, Daily rebalance, Long-only

OOS Cumulative Return

16.98%

Create your own algorithmic trading strategy with EFNL using Composer

FAQ

EFNL is a Global Ex. US Equities ETF. The iShares MSCI Finland ETF seeks investment results that correspond generally to the price and yield performance, before fees and expenses, of the MSCI Finland IMI 25/50 Index. The iShares MSCI Finland ETF seeks to track the investment results of a broad-based index composed of Finnish equities.

EFNL tracks the MSCI Finland IMI 25/50 Index.

No, EFNL is not actively managed. It is passively managed. In an actively managed fund, the fund manager makes decisions about how funds are invested. A passively managed fund typically tries to track or follow a market index.

Yes, EFNL is passively managed. A passively managed fund typically tries to track or follow a market index. In an actively managed fund, the fund manager makes decisions about how funds are invested.

The 1-month return on EFNL is -0.0102%. This is the percent change in the value of EFNL over the most recent 1-month period. The 3-month return on EFNL is -0.0578%. This is the percent change in the value of EFNL over the most recent 3-month period.

The standard deviation of EFNL for the past year is 0.1985%. Standard deviation is the typical amount that the daily returns vary from the mean of the returns over the time period, standardized to a period of a year.

ETFs similar to EFNL include EWZ, EWW, and EWT.

ETFs correlated to EFNL include IEUR, FEP, and SPEU.

ETFs that are inversely correlated to EFNL include EPV, EFZ, and SDS.

Disclaimers

*

We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.

**

We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.