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FlexShares Morningstar Developed Markets ex-US Factor Tilt Index Fund

TLTD
$--
Today’s Change
-- (--)

Snapshot
*

Inception Date
Sep 25 2012
Expense Ratio
0.39%
Type
Global Ex. US Equities
Fund Owner
Flexshares (Northern Trust)
Volume (1m avg. daily)
$574,539
AUM
$524,144,063
Associated Index
Morningstar Developed Markets ex-US Factor Tilt Index
Inverse/Leveraged
No
Passive/Active
Passive
Fractionable on Composer
Yes
Prospectus

Top 10 Holdings

NESN
Nestle SA
0.95%
ASML
ASML HOLDING NV COMMON STOCK EUR 0.09
0.86%
SHEL
SHELL PLC
0.83%
NOVOB
NOVO NORDISK A/S COMMON STOCK DKK 0.2
0.76%
7203
Toyota Motor Corporation
0.72%
MC
LVMH MOET HENNESSY LOUIS VUI
0.67%
NOVN
Novartis AG - Registered Shares
0.67%
ROG
Roche Holding AG
0.65%
AZN
ASTRAZENECA PLC COMMON STOCK GBP 0.25
0.64%
HSBA
HSBC HOLDINGS PLC COMMON STOCK GBP 0.5
0.61%
Invest with TLTD

What is TLTD?

FlexShares Morningstar Developed Markets ex-US Market Factor Tilt Index ETF seeks to enhance exposure to the broad international stock market by tilting the portfolio toward the long-term growth potential of the small cap and value segments. It seeks to provide investors with an expanded opportunity set of developed market stocks from outside the U.S. to help meet their longer term capital appreciation needs. Designed to replace traditional market-weighted international equity products, the Fund applies a tilt to smaller cap and value stocks using a multi-factor modeling approach that attempts to enhance portfolio risk/return characteristics. Realized capital gains and income dividends are anticipated to be declared and paid at least annually.

ETFs related toTLTD

ETFs correlated to TLTD include DFAI, AVDE, DFIC

TLTD
FlexShares Trust - FlexShares Morningstar Developed Markets ex-US Factor Tilt Index Fund
DFAI
Dimensional ETF Trust - Dimensional International Core Equity Market ETF
AVDE
American Century ETF Trust - Avantis International Equity ETF
DFIC
Dimensional ETF Trust - Dimensional International Core Equity 2 ETF
IDEV
iShares Trust - iShares Core MSCI International Developed Markets ETF
VEA
Vanguard Group, Inc. - Vanguard FTSE Developed Markets ETF
SPDW
SSgA Active Trust - SPDR Portfolio Developed World ex-US ETF
SCHF
Schwab Strategic Trust - Schwab International Equity ETF
IEFA
BlackRock Institutional Trust Company N.A. - iShares Core MSCI EAFE ETF
GSIE
Goldman Sachs ETF Trust - Goldman Sachs ActiveBeta International Equity ETF
INTF
BlackRock Institutional Trust Company N.A. - iShares International Equity Factor 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.

Automated Strategies
Related toTLTD

#GLOBE

Follow the Global Trend

Category

Momentum, Lever Up, Go Global, Diversification

Risk Rating

Moderate

Create your own algorithmic trading strategy with TLTD using Composer

FAQ

TLTD is a Global Ex. US Equities ETF. FlexShares Morningstar Developed Markets ex-US Market Factor Tilt Index ETF seeks to enhance exposure to the broad international stock market by tilting the portfolio toward the long-term growth potential of the small cap and value segments. It seeks to provide investors with an expanded opportunity set of developed market stocks from outside the U.S. to help meet their longer term capital appreciation needs. Designed to replace traditional market-weighted international equity products, the Fund applies a tilt to smaller cap and value stocks using a multi-factor modeling approach that attempts to enhance portfolio risk/return characteristics. Realized capital gains and income dividends are anticipated to be declared and paid at least annually.

TLTD tracks the Morningstar Developed Markets ex-US Factor Tilt Index.

No, TLTD 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, TLTD 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 TLTD is -0.0441%. This is the percent change in the value of TLTD over the most recent 1-month period. The 3-month return on TLTD is -0.013%. This is the percent change in the value of TLTD over the most recent 3-month period.

The standard deviation of TLTD for the past year is 0.1935%. 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 TLTD include IGF, EFG, and PBW.

ETFs correlated to TLTD include DFAI, AVDE, and DFIC.

ETFs that are inversely correlated to TLTD include EPV, SH, and SPDN.

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.